Introduction
In the last two
decades “Hispanic[1]
workforce immigration” has dramatically increased throughout the
Several significant issues or
barriers arise from the rush of Hispanics to the
The poor educational background of Hispanics and lack of English proficiency present many problems both locally and regionally. For this reason, Hispanic educational issues must be considered as a fundamental concern for the whole society and not just for public agencies. Fortunately, in order to alleviate this situation, educational nonprofit organizations like the Centro Educativo Central Savannah River Area (CECSRA) have arisen throughout the region.
The purpose of this study is to perform a Social Cost-Benefit Analysis (SCBA), and thus to address the following two research questions: 1) how efficiently has CECSRA carried out its mission and purpose? 2) and to what extent does the local and regional community benefit from immigrant Hispanic educational gain? The necessity to address these questions stems not only from the fact that the donors have assumed the cost of the operation, but also they assume that the students will contribute to the betterment of society as a result of further education. With the creation of CECSRA the hope is that challenges associated with low education levels such as school overcrowding, the free use of some public services like health care and housing, the ignorance of rules and law, and fears concerning the survival of American identity will be overcome. These are the same types of challenges that Young (2005) describes as well as the ultimate reason for why the stakeholders of CECSRA support the school.
Background
Social Cost-Benefit Analysis applied to educational
programs is not new, in fact it is a long standing practice among researchers
and decision makers since education is one of the main public policy issues
discussed in the policy agenda. Thus, the most prominent examples of this kind
of analysis were made by Spiegelman (1968); Long, Mallar, and
These studies focused on special elementary educational
programs for disadvantaged students, highlighting the private education’s
returns in the form of higher future salary for the students. They also studied
education’s social returns in the form of reduced crime rates –which in turn
means better welfare for society, lower property damage, and lower crime prevention
costs – as well as reduction in welfare program expenditures, and positive
taxpayer effect. It must be mentioned that the contribution of Long, Mallar,
and
Consequently, based on the studies previously mentioned and taking into consideration the CECSRA’s characteristics, some of the variables under study are present values benefits, present value costs, present value transfer payments and present value secondary effects. On the participants’ side the groups analyzed in distributional terms are, CECSRA’s students, children and family of the CECSRA students, donors, volunteers and paid staff, and Our Lady of Peace (OLP) Catholic Church community. Although the program was open to operate indefinitely over time, fifteen years was chosen as a significant period of time in which benefits accrue to society. A positive net present value under Kaldor-Hicks criterion was found since research about education’s returns has made progress in the last decades and today education’s returns are far larger than any program costs.
The school
The Centro Educativo Central Savanna River Area (CECSRA) located in
In mid-2004, Alexander
McDonald (who was priest of OLP Catholic Church at North Augusta) and Mrs.
Maria Mallar (current Chief Executive Officer of CECSRA and teacher of
Thus, by late January
the project was announced to the Hispanic community. At the same time, Mrs.
Puentes requested financial support for the school from Catholic Charities. In February
2005 the CECSRA began operation as a study group community. By the summer of 2005
Mrs. Mallar traveled to Patzcuaro Michoacan in
The Church provided computers and internet
connection to CECSRA as it was an essential requirement to the program’s
certification. Finally, CECSRA applied in 2006 and between April and May of the
same year, the school received the official certification that allowed it to
apply for an
Thus, CECSRA is funded by the Mexican Government (through the Institute of Mexican Abroad IME grant, and providing educational material), Our Lady of Peace Church Members of the Diocese of Charleston (providing supplies as well as two times a year money donation), Parents who have children in Our Lady of Peace School[2] (providing physical space and utilities), the South Carolina Outreach Program (which at the beginning provided money used to paid salary of the paid staff), the local Hispanic ministries[3](providing money for the paid staff salary), Our Lady of Peace Outreach program (providing supplies) ASU students and Center for Immigration Studies (providing voluntary work), and local community’s volunteers. Hence, the fundraising plan for CECSRA has been based on grants, group donations, in the form of material gifts donation and voluntary work, and pledges from Our Lady of Peace. Moreover, CECSRA has a zero-salary-cost-plan, since only the Chief Executive Officer receives payment for her services. The Board of Directors, program coordinators and the teachers offer their services free of charge, although occasionally some staff and volunteer members receive a payment for their work. Each of the donors listed above represents the genuine stakeholders of the school.
CECSRA is open only one day and two nights per week offering the following four programs: English as a Second Language (ESL), General Educational Development (GED), Plaza Comunitaria (literacy program, at the elementary and middle school level), and Computer Skills. Today, the school has 15 Plaza Comunitaria students and 31 students enrolled in GED, ESL and Computer Skills programs. CECSRA’s organizational structure is comprised of a Board of Directors including a president, a vice-president, a secretary and a treasurer. In addition, a chief executive officer supervises the four program coordinators who organize and direct the teachers in the four programs offered. The CECSRA organizational chart is illustrated below:
CECSRA’s organizational chart

Literature review
Introduction
To understand the returns or
benefits of education, it is necessary to develop an exhaustive and mutually
exclusive classification grouping the four main benefits of education[4].
Thus, education has Private or Social benefits and Market or Non-market
benefits, from which a combination can be established as follow:
Private/Market, Private/Non-market, Social/Market, and Social/Non-market.
Therefore, Private/Market benefits refer to earnings and jobs conditions.
Private/Non-market benefits refer to individual and family wellbeing.
Social/Market benefits refer to the economic growth through technology
innovation and scientific advances. And Social/Non-market benefits refers to
externalities, public goods (or spill over), tax, and transfer effects. Table 1
illustrates the foregoing discussion. The first section is based on a
literature review of education’s benefits, the second and final section is a
discussion about the benefits from immigrants’ educational gains.
Benefits of Education
|
Benefits or Returns of Education |
Private |
Social |
|
Market |
Earnings or Wage |
Economic Growth |
|
Non-market |
Individual and Family Wellbeing |
Externalities, Public Goods, Tax, and
Transfer Effects |
Source: own creation base on Owens
(2004).
Education’s benefits
Private/Market
This
category defines benefits received from the labour market by the individual who
acquires the additional schooling. Becker (1962) and Schultz (1963) formalized
the study of “returns of education” with their pioneering work that today forms
the basis of the
Accordingly,
the general consensus among researchers is the existence of a positive relation
between higher education and higher earning or wage. Thus it is expected that
the more years a person spends in school the more earnings this person will
have (Ashenfelter and Kruger, 1994; Weiss, 1995; Ashenfelter and Rouse, 1998; Psacharopoulos
and Harris, 2002; Chevalier et. al. 2004). There is not a general
consensus about the percentage rate increased by each extra year in the school
because variations in the estimated effects can be explained by differences in
methodology and assumptions used.
On
the other hand, some researchers have challenged the original statement of
human capital theory, which states that education enhances productivity.
Instead, they argue for what is referred to as “signalling theory”, which
asserts that earnings may rise in response to education not because of any
effect on productivity but simply because education may act as a “signal of
productivity” (Spence, 1973; Groot and Oosterbeek, 1994). Signalling theory has
developed some interesting insights. For example the more education workers
have the less likely they are to quit or be absent. Furthermore, they are less
likely to smoke, drink or use illicit drugs, and are generally healthier. These
characteristics are often not directly observed but desirable for employers;
hence the “signal” that education sends is clearly in terms of productivity
(Weiss, 1995).
Whether
education enhances or just reflects productivity, it is less important for
other researchers, whose main interest is how phenotype, genetic and family
socioeconomic status background play in the returns of education. Hence,
studies of twins have been undertaken to isolate the variables previously
mentioned and study their impact on different educational attainment as well as
earnings between individuals genetically identical and with the same family
socioeconomic status (Ashenfelter and Kruger, 1994; Ashenfelter and Rouse,
1998). The results of such studies
demonstrate differences in the percentage rate increased by each extra year in
the school among twins that choose different levels of education beyond
college. Finally, Haveman and Wolfe (1984) point out that difference in
schooling is also associated with differences in nonwage remuneration in the
form of fringe benefits and working conditions such as subsidized dining or a
pleasant office.
Social/Market
This
category defines benefits in the form of Gross Domestic Product (GDP) increases
as a consequence of technology innovation and scientific advances, which
fosters advances in living standard conditions over time. This is the
macroeconomic analysis of education started with the Becker (1962) and Schultz
(1963) statement which suggest that economic growth closely depends on the
synergy between new knowledge and human capital. Since then, economists have
sought to measure the social/market influence of education over economic growth
by references to the GDP. The pioneer work over this point belongs to Robert
Slow (1956), whose growth model relies on saving, population growth, and
technology innovation to explain the GDP’s growth among nations.
Riddell
(2004) traces the three main dimensions in which education contributes to
economic growth. The first one is the research function of educational
institutions as important sources of new ideas and advances in knowledge. The
second is related to the teaching function of universities and colleges because
educational institutions train many of the individuals who will make future
discoveries. Finally, knowledge is transferred to new generations, which will
become more productive and therefore will contribute to increases in GDP.
Another important advantage of education regarding technology innovation and
economic growth is the decrease in resistance to technology. For instance,
Wozniak (1987) notes that education and information enhance the capacity to
overcome the resistance created by adoption costs and uncertainty, thereby
raising the probability of adopting profitable innovations.
Private/Non-market
Schooling
generates impacts valued by people that are not recorded in earnings
differences; those are the wellbeing gains that people obtain from schooling.
Such benefits are not reflected in the traditional economic estimations about
the private returns to schooling obtained from the labour market. Haveman and
Wolfe (1984) were the pioneers who highlighted the need to include the
private/non-market effects in education’s benefit analysis. They proposed a
method to estimate the private/non-market education’s benefits, but most
important is the fact that they gathered and created a catalogue (after
surveying several studies) of all possible private/non-market benefits. They
also sorted the catalogue by channel of impact, economic nature of impact,
nature of existing research on magnitude of impact, and status of economic
benefit estimates.
Eight
years later, they updated and improved their work (see Haveman and Wolfe 2002).
Others have further improved their work, such as Riddell (2004) and Owens
(2004). Thus, after reviewing articles from Haveman and Wolfe (1984 and 2002),
Riddell (2004), and Owens (2004), the following private/non-market education’s
benefits can be established:
§
Direct
effects on other member of the family when one family member is more educated.
1. Intra-family productivity. Education
of one spouse has an effect on the earning of other spouse.
2. The individual choices in reference
to the labour market, marriage and family size which are all positively related
with the education of one spouse (for a full discussion see Haveman and Wolfe
2002, and Owens 2004).
§
Intergenerational
effects.
1. Parents’ education has strong
effects on children accrued over an extended period of time (for a full
discussion see
1.1 Lower fertility.
1.2 Lower incidence of teenage
childbearing of more educated parents.
1.3 Less child abuse and neglect.
1.4 More substantial family
investment in children.
1.5 Less costs to educate children
of educated parents.
1.5 Lower criminal propensity in
children.
1.6 Better child health.
§
Own
non-market effects (for a full discussion see Haveman and Wolfe 1984, and
2002).
1. Own health. Increased schooling
appears to relate to better health and increased life expectancy (for a full
discussion see Owens 2004, and Riddell 2004).
2. Consumer choice efficiency. Evidence
suggests that schooling leads to more efficient consumer activities such as
knowledge and saving regarding market transactions.
3. Labour market search efficiency.
More schooling is negatively related to the costs of job search. Moreover, more
schooling increases regional mobility.
4. Marital choice efficiency. Studies
of assortative mating suggest that schooling is associated with better choices
regarding marital partners.
5. Attainment of desired family size.
More schooling may enable one to gather information on how to avoid unwanted
births.
6. Entertainment. Schooling is also
asserted to change tastes, increasing the enjoyment of meritorious consumption
activities such as reading, music, and art.
7. Leisure. The wage rate increment
associated with an additional year of schooling implies an increase on the
value of both incremental and inframarginal leisure hours. Thus schooling
induces changes in the value of leisure and, perhaps, the quantity chosen.
Social/Non-market
Beyond
the gains to one’s self and family are those seldom-noted and rarely evaluated
external and public goods effects of one’s education that accrue to others in
society (Haveman and Wolfe 2002). As in
the case of the private/non-market benefits, there is not a single theory or
model that explains all the social/non-market effects. Instead, there are
several studies and authors that attempt to demonstrate the existence of a
specific social/non-market benefit of education according to their research interest.
Nonetheless, Haveman and Wolfe (1984, and 2002) compile and discuss those
studies, to which are added more elements by Riddell (2004), and Owens (2004).
Those benefits are:
1. Human capital externalities. This benefit arises when the decision to invest
in more education by one individual, which consequently raises their
productivity, also increases the productivity of other individuals. This is due
to the sharing of knowledge and skills through formal and informal interaction
among workers with different levels of education (for a full discussion see
Moretti 1998, 2002, and 2003).
2. Lifelong and adult learning
opportunities. These benefits occur at later ages as a consequence of prior
formal education (for a full discussion see Owens (2004).
1.1. Later retirement and work after
retirement with a reduction on social security fund cost which are a social
benefit.
1.2. Knowledge that is disseminated and
acquired through articles, books, television, computer software, encyclopaedia,
and informal communication written by educated people.
1.3. The capacity to learn and adopt new technologies
1.4. Self-confidence derived from the
ability to communicate more effectively and to take on new roles and
responsibility in the community.
3.
Charitable giving. There is evidence that the amount of time and money
devoted to charity is positively associated with the amount of schooling that
someone has received.
4.
Saving. Schooling contributes to increased saving. This has a
public-good aspect to the extent that the capital market is imperfect and
aggregated savings are less than optimal.
5.
Political participation. A better-educated electorate makes better
decisions on policy choices that affect the economy and well-being (for a full
discussion see Riddell 2004).
5.1. Follow the news and political campaigns.
5.2. Attend political meetings.
5.3. Discuss political matters with friends
5.4. Trust in the federal government
6. Criminal activity reduction. There is
evidence that education reduces criminal activity through four channels (for a
full discussion see Owens 2004).
6.1. The income effect. Education raises skill
level and wage rates which then lowers crime
6.1. Direct effects on patience and/or risk
aversion. Schooling may increase patience or risk aversion behaviours, thereby
reducing the likelihood of committing crime. This suggests that more patient
and more risk adverse individuals would place more weight on the possibility of
future punishments
6.2. Direct effects on the return to crime.
There is evidence that suggests that there is a positive association of
education on white-collar crime and also possible that there is an effect of
training and skill on poverty crime.
6.3. Delinquency and the direct effect on the
pleasure gained from crime. Academic
achievement does not reduce crime directly; rather instead of men remaining
under supervision either in school or in a job, they are not on the street
getting into trouble.
7. Tax and transfer effects. Several studies
discuss that individuals with more education are less likely to rely on public
transfers, even when eligible for benefits. Moreover, the quantatively most
important effect is the impact of higher lifetime earnings on government tax
receipts (for a full discussion see Riddell 2004).
About
private/non-market and social/non-market benefits measurement.
Although
Haveman and Wolfe (1984, and 2002), Riddell (2004), and Owens (2004) do a good
job including the private/non-market and social/non-market for a full
accounting of schooling’s gains, Acemoglu (2002) notes their lack of
methodological consistency taking into consideration that the authors used a
summary approach and citing a large number of studies claiming these types of
schooling’s returns. More precisely, they took existing association from the
data as the causal effect of education, in the words of Acemoglu (2002):
It
is quite possible that individuals who are more educated made better fertility
choices or better consumer choices, but this does not mean that this is the
causal effect of education on these choices. Individuals who obtain education
are different, not only because their ability, but also because of their
parental and social background. It is quite likely that this background
factors-not the education itself- lead to different consumer, fertility, or
other social choices. (p. 133)
This
concern leads to the question of what we actually know about any of these
effects in a more careful, empirical and theoretical setting. On this point,
Shultz (2002) comments “I look forward to a new generation of empirical
research into the role of education, from which more adequate and less biased
evaluation of the private/non-market and social/non-market returns to education
can be derived using the conceptual logic outline in the Wolfe-Haveman
paper”(p.141). Nonetheless, Shultz (2002) recognizes that the remaining task is
not a trivial one, in terms of collecting suitable data and their correct
analysis.
Immigrants’ educational gains
The
literature on Hispanic immigrants (especially Mexican) and education comes largely
from sociology and tends to focus on the struggle for educational attainment by
taking education as one of the main variables in explaining future or present
immigration success among generations (Murguia and Telles, 1996; Ferrer et al.
2004; Wojtkiewicz and Donato, 1995; Bean, et. al. 1994). Thus the literature
focuses on the explanatory variables for educational attainment rather than
what the effects of education are in relation to immigrants.
Hence,
the studies go from the match of the typology of immigrants (age and education)
and host community to phenotype (genetic characteristics) on immigrants. The
general consensus among researchers is that family background (parental
education, single mother, parental language proficiency, and socioeconomic
status) has a strong effect on the educational gains of children (Murguia and
Telles, 1996; Wojtkiewicz and Donato, 1995; Bean, et. al. 1994). There is
little disagreement among results; instead, there are specialized studies that
give information about the extent of influence of each explanatory variable
over immigrant educational gains.
Thus,
Wojtkiewicz and Donato (1995) report that family background and nativity is
more important as generations pass, while Bean, et. al. (1994) finds the
current wave of immigrants is more likely to be poorly educated than in the
past and that the host community is now more hostile than in the past.
Therefore immigrant children in particular struggle more in their educational
attainment. Moreover, Murguia and Telles (1996) assert that phenotype and
ethnicity becomes a barrier for educational achievement; the darker and more
Indian looking immigrants encounter more racial discrimination. In addition,
Ferrer, et al. (2004) point out that the human capital (not only education)
that an immigrant brings is more favourable than one without education. In these studies education is seen as an end
rather than as a means, with little mention about the social returns of
immigrants’ educational gains.
In
the literature, there is a gap when it comes to the private/non-market, and
social/non-market educational benefits for Hispanic immigrants. Nevertheless, it has been documented that
local economies improve when Hispanic immigrants arrive (see for example Baker
and Harris’ 2006 study of
Regarding
the private/non-market and social/non-market benefits of education among
Hispanic immigrants nothing has been said, probably because it is well
recognized that immigrants have a lack of education. On the contrary, it has been documented that
-along with the economic improvement- the social order of the host society
suffers some disruption when immigrants arrive. According to most researchers, the lack of
education among Hispanics causes social order disruption to the host society.
Thus, it can be assumed that if Hispanic immigrants get education, then the
social/non-market benefit will come in the form of the return to the social harmony
that the host community had before immigrants came.
In
addition, the Heritage Foundation in its work entitled “The Fiscal Cost
of Low-skill Immigrants to the U.S. Taxpayer[5]”
analyzes the net fiscal deficit created by low-skilled (referring to those without
a high school diploma) immigrants. The
think tank group calculated for fiscal year of 2004 that a household’s net
fiscal deficit for this kind of workers was $19,588, as they received $30,160
dollars from public benefits, versus a total amount of $10,573 dollars of taxes
that they paid. Thus, low-skill
immigrant households impose substantial long-term costs on the
Methodology
Participants
The participants in this study are the volunteers and students of the school. Through its lifetime the school has recruited several students and several volunteers, but only a few have consistently attended classes. For this reason only these few volunteers (roughly 15) and students (roughly 30) will be taken into consideration for filling the contingent valuation survey.
Apparatus
In order to answer the research questions it will use a Social Cost-Benefit Analysis as proposed by Young and Steinberg (1995) to guide this study. Young and Steinberg (1995) define cost-benefit analysis CBA in its simple form as follow:
CBA is a framework for decision making about and evaluation of organizational programs, activities, and initiatives for public-sector and private nonprofit organizations operating in an environment of market failure. It is analogous to the profit criterion used for making decisions and evaluating performance in the commercial business sector, but it is based on social cost and benefits rather than cost and benefits. (p. 112)
The logic behind CBA in its simplest form is to compute the economic benefits and the economic costs incurred by a policy or program, irrespective of who benefits and who pays, and suitably discount these costs and benefits over time to reflect opportunity values. The foregoing procedures are intended to maximize economic efficiency which is meant to put resources to their most highly valued uses. However, in the public and nonprofit sector, there is a special concern with the issue of distributional justice (Young and Steinberg, 1995).
The CBA in its basic form does not explicitly attend to the question of “who gets what?” In other words, basic CBA does not take into consideration the issue of distribution in the sense of equity and fairness which are the base of a distributional analysis. This is important because some programs or policies are specifically designed to address the needs of certain groups, yet in the course of the actions one group may win (benefit) which implies that another loses (cost). Thus, a distributional analysis among different groups involved in a program developed by government or by a nonprofit organization is necessary and that is the basis as well as the idea behind Social Cost Benefit Analysis.
Economists have worked to incorporate distributional consequences into their Social Cost-Benefit Analysis with the development of the Kaldor-Hicks criterion that states, “Those who gain from a policy or action must be able to compensate those who lose, not that they actually do so. In simpler term, efficiency is promoted when a policy or action generates greater benefits than costs to society (thus society as a whole gains in net[6]), regardless of whom receives the benefits, bears the costs, or whether the losers are compensated” (Fuguitt and Wilcox, 1999, p. 108). In the words of Young and Steinberg (1995) the Kaldor-Hicks criterion:
Is both the concept that makes costs-benefit analysis practical as an analytical tool widely applicable to situations where full compensation of cost bearers is unlikely as well as controversial as an overriding gauge of performance for an organization concerned with social issues. After all, if compensation of costs bearers does not actually take place, who is to say whether society as a whole is better off when some gain and some lose? How do we compare the welfare of one person with that of another? Is society really better off because I gain $20 while you lose only $10? Even in situations where no individual incurs a net loss, application of the costs-benefit principle is somewhat controversial because we may care about improving the lot of the least fortunate in society or making the distribution of society’s wealth more equitable. (p. 115)
At this point it is also important to define the notion of costs and benefit for the purpose of a SCBA using the economic view of cost and benefit. Accordingly, the economic cost will be the opportunity cost[7] of resources used, while the economic benefit will be represented by the willingness to pay[8] for a given action. The opportunity cost of a resource used can easily be estimated by direct market price because most of the resources are purchased in the competitive market. In contrast, benefit estimation often represents a challenge since many public and nonprofit services are not sold in a competitive market rather they are sold at subsidized prices, given for free, or are associated with external benefits (Young and Steinberg, 1995).
To measure program benefits means to figure out the willingness to pay from those who receive the benefit. Often a market price does not exist for these benefits because they are not directly sold although these resources do have utility. To deal with this problem, economists have developed the concept of a “contingent valuation technique” referred to as a stated preference model (in contrast to a price-based revealed preference model). To value nonmarket effects surveys respondents are asked to state their preference hypothetically, indicating their valuation as if a market would exist for the particular resource, good or service (Fuguitt and Wilcox, 1999). In other words, the contingent valuation method is called “contingent” because it uses information on how people say they would behave given certain hypothetical situation, contingent on being in the real situation (Whitehead and Blomquist, 2006).
In order to carry out an adequate SCBA there are two important concepts that help to illustrate the distributional as well as the efficiency of an action by determining who gets what. Those concepts are 1) Transfer payments: shifts of resources from one group of individuals to another that do not involve a net change in the value of resources available to society as a whole; and 2) Secondary effects: the ripples created in the economy by changes in the prices of resources associated with the primary program activity under evaluation. All the foregoing concepts and ideas can be put together in a simple accounting framework combined with a matrix format that brings together the relevant dimensions of SCBA such as:
· Costs: different elements of opportunity cost that must be accounted.
· Benefit: different elements of gain.
· Beneficiaries and cost bearers: The different social groups that receive benefits and/or bear costs.
· Transfer payments: Transfers of resources between beneficiary and cost-bearing groups.
· Timing of costs, benefits, and transfer: the patters of incidence of costs, benefits and transfer payments over time.
· Bottom lines: The net present values of benefits and costs to each group, and the net difference between benefit and cost for society as a whole as well as for each possible course of action.
SCBA is illustrated in the following diagram:
|
Social Cost Benefit Analysis Matrix Framework |
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|
Group 1 |
Group 2 |
Group 3 |
All Society |
|
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PV of Benefits |
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|
Benefit a |
|
+ |
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+ |
|
Benefit b |
|
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|
+ |
+ |
|
Benefit c |
|
|
+ |
|
+ |
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PV of Costs |
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Cost d |
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|
- |
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- |
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Cost e |
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|
- |
- |
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Cost f |
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- |
- |
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PV of Transfers |
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Transfer g |
|
+ |
|
- |
0 |
|
Transfer h |
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- |
+ |
0 |
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PV of Net Benefits |
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|
(a+b+c)-(d+e+f) |
+ |
(+) or ( - ) |
(+) or ( - ) |
(+) or ( - ) |
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|
PV = present value |
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|
|
Source: Young and Steinberg (1995)
By applying the methodology described above to the case of CECSRA the first step is to identify the key players (directly or indirectly) in the program: a) CECSRA students, b) their children and family, c) all donors, d) Volunteers (ASU students and local community) and paid staff e) OLP’s Church Members and parents who pay a fee for their children at OLP School, f) and the host society, the Central Savannah River Area community.
The second step would be to identify the benefits and the costs for CECSRA program as well as transfer payment and secondary effects.
· Benefits can be defined as: 1) Potential returns of education in terms of higher salary for CECSRA students, 2) Potential better personal welfare for CECSRA student 3) Potential welfare improvements for their family in general and children in particular, 4) Volunteer’s benefit, and 5) Host society’s benefits.
· Costs can be defined as: 1) Salary of staff, 2) Supplies, 3) Facility costs, and 4) Volunteers’ time
· Transfer payments can be defined as: Any kind of gifs and donation form the following groups 1) ASU student and local community, 2) OLP’s Church Members, and Parents who have children in OLP School, 3) ASU center for immigration studies, 4) OLP’s Outreach program, and 4) Mexican Government
· Secondary effects can be defined as: 1) Potential Increase of the CECSRA’s student labor cost
The advantage of using an accounting matrix framework is that it will allow us to indicate at least the direction (whereas positive or negative) and potential impacts on a particular group when calculations can not be performed. This is important because some calculation could present methodological challenges beyond the researcher’s capability as well as time availability. At this point it is recognized that the real challenges are the estimation of most of the benefits since as Young and Steinberg (1995) assert “unlikely costs most of the programs benefits have a pattern of incidence over time that extends beyond the time program operational framework”.
The SCBA matrix framework for CECSRA as well as the Benefits, Costs, and Transfer Payment matrix frameworks are outlined below:
|
Social Cost Benefit Analysis Matrix Framework for
Centro Educativo |
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CECSRA students |
Children and Family |
All Donors |
Volunteer and paid Staff |
OLP’s Church Members and Parents who have children in
|
Society |
|
PV of
Benefit |
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CECSRAs’ student Potential
higher salary |
|
XXX(+) |
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XXX(+) |
|
CECSRAs’ student potential
better own welfare |
|
XXX(+) |
|
|
|
|
XXX(+) |
|
Potential better welfare for
family and children |
|
|
XXX(+) |
|
|
|
XXX(+) |
|
Volunteer’s benefits |
|
|
|
|
XXX(+) |
|
XXX(+) |
|
Host Society’s benefits |
|
|
|
|
|
|
XXX(+) |
|
|
|
|
|
|
|
|
|
|
PV of
Cost |
|
|
|
|
|
|
|
|
Salary for paid staff |
|
|
|
XXX(-) |
|
|
XXX(-) |
|
Supplies |
|
|
|
XXX(-) |
|
|
XXX(-) |
|
Facility costs |
|
|
|
XXX(-) |
|
|
XXX(-) |
|
Volunteer time |
|
|
|
|
XXX(-) |
|
XXX(-) |
|
|
|
|
|
|
|
|
|
|
PV of
Transfer Payments |
|
|
|
|
|
|
|
|
CECSRA |
|
XXX(+) |
XXX(+) |
XXX(-) |
XXX(-) |
XXX(-) |
0 |
|
|
|
|
|
|
|
|
|
|
PV of
Secondary Effects |
|
|
|
|
|
|
|
|
Potential Increase of the
CECSRAs’ student labor force |
|
|
|
|
|
|
XXX(-) |
|
|
|
|
|
|
|
|
|
|
PV of Net
Benefits |
|
|
|
|
|
|
|
|
Benefits - Costs |
|
(+) or ( - ) |
(+) |
(-) |
(+) or ( - ) |
( - ) |
(+)or( - ) |
Source: Own elaboration based on Young and Steinberg
(1995) example.
Note: 2) Secondary effects must be shown but not
counted to avoid double count with the benefit of potential higher salary. 3)
Transfer payment must add zero horizontally always
Benefit Matrix Framework for Centro Educativo
|
|
|
CECSRA students |
Children and Family |
Volunteer and paid Staff |
Society |
|
1) CECSRAS’ STUDENT POTENTIAL HIGHER SALARY 2) CECSRAS’ STUDENT POTENTIAL BETTER OWN WELFARE |
|
|
|
|
XXX(+) |
|
Warmth from the group |
|
XXX(+) |
|
|
XXX(+) |
|
Learn new skill |
|
XXX(+) |
|
|
XXX(+) |
|
Social networking |
|
XXX(+) |
|
|
XXX(+) |
|
Obtain references |
|
XXX(+) |
|
|
XXX(+) |
|
Positive effect on your
spouse’s earning |
|
|
XXX(+) |
|
XXX(+) |
|
Be able to advise |
|
|
XXX(+) |
|
XXX(+) |
|
Better life for children |
|
|
XXX(+) |
|
XXX(+) |
|
Better health |
|
XXX(+) |
|
|
XXX(+) |
|
Efficient consumer choices |
|
XXX(+) |
|
|
XXX(+) |
|
Efficiency labor search |
|
XXX(+) |
|
|
XXX(+) |
|
Efficient marital choices |
|
XXX(+) |
|
|
XXX(+) |
|
Desired family size |
|
|
XXX(+) |
|
XXX(+) |
|
Entertainment |
|
XXX(+) |
|
|
XXX(+) |
|
Self confidence |
|
XXX(+) |
|
|
XXX(+) |
|
Saving |
|
XXX(+) |
|
|
XXX(+) |
|
Cultural assimilation |
|
|
|
|
XXX(+)1 |
|
Contribute to the tax system |
|
|
|
|
XXX(+)2 |
|
4) POTENTIAL BENEFITS FOR VOLUNTEERS |
|
|
|
|
|
|
Altruistic satisfaction |
|
|
|
XXX(+) |
XXX(+) |
|
Use your skill |
|
|
|
XXX(+) |
XXX(+) |
|
Get recognition |
|
|
|
XXX(+) |
XXX(+) |
|
Warmth from the group |
|
|
|
XXX(+) |
XXX(+) |
|
Teaching experience |
|
|
|
XXX(+) |
XXX(+) |
|
Learn new skill |
|
|
|
XXX(+) |
XXX(+) |
|
Social networking |
|
|
|
XXX(+) |
XXX(+) |
|
Build résumé |
|
|
|
XXX(+) |
XXX(+) |
|
Guide the school |
|
|
|
XXX(+) |
XXX(+) |
|
Involvement |
|
|
|
XXX(+) |
XXX(+) |
|
Avoid net fiscal deficit |
|
|
|
|
XXX(+)3 |
|
Return to social harmony |
|
|
|
|
XXX(+)4 |
|
TOTAL |
|
XXX(+) |
XXX(+) |
XXX(+) |
XXX(+) |
Source: Own creation
Note: 1,2,3,4 will be added to form HOST SOCIETY’S BENEFITS.
|
Costs Matrix Framework for Centro Educativo Central |
||||||||
|
Costs Donors |
|
All Donors |
OLP’s Church Members* and Parents who have children
in OLP school~ |
ASU students and local community |
TOTAL |
|||
|
|
Mexican Government |
|
|
Local Hispanic Ministries |
||||
|
SALARY FOR PAID STAFF |
|
XXX(-) |
XXX(-) |
|
XXX(-) |
|
|
XXX(-) |
|
SUPLIES |
|
|
|
|
|
|
|
|
|
Desks |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Chairs |
|
|
XXX(-) |
|
|
XXX(-) |
|
XXX(-) |
|
Tables |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Computers |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Printers |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
TV |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
DVD |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Educational books and videos |
|
XXX(-) |
|
|
|
|
|
|
|
Blackboards |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Copy machine |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Kitchen appliances |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Bookshelves |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
File cabinet |
|
|
XXX(-) |
|
|
|
|
XXX(-) |
|
FACILITY |
|
|
|
|
|
|
|
|
|
4 classrooms |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Power (light) |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Internet payment |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
water |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Heater |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
Maintenance |
|
|
|
|
|
XXX(-) |
|
XXX(-) |
|
VOLUNTEER TIME |
|
|
|
XXX(-) |
|
|
XXX(-) |
XXX(-) |
|
TOTAL |
|
XXX(-) |
XXX(-) |
XXX(-) |
XXX(-) |
XXX(-) |
XXX(-) |
XXX(-) |
Source: Own
creation
|
Transfer Payment
Matrix Framework for Centro Educativo |
|||
|
Donors (-) Receivers (+) |
CESRA |
Society as a whole |
|
|
ASU students and local community |
XXXX (-) |
XXXX (+) |
0 |
|
OLP’s Church Members |
XXXX (-) |
XXXX (+) |
0 |
|
Parents who have children in OLP school |
XXXX (-) |
XXXX (+) |
0 |
|
|
XXXX (-) |
XXXX (+) |
0 |
|
OLP's Outreach Program |
XXXX (-) |
XXXX (+) |
0 |
|
Mexican Government |
XXXX (-) |
XXXX (+) |
0 |
|
Society as a whole |
XXXX (-) |
XXXX (+) |
0 |
Source:
Own creation
Procedure
Benefits
As mentioned before, many nonprofit benefits are not sold in the market, but sold at subsidized price or given for free. For these reasons benefits’ estimation require “willingness to pay” approach. Contingent valuation technique will be used to build surveys (see appendix A) and thus to estimate: 1) the potential higher salary for the CECSRA students, 2) the potential better welfare for family and children of the CECSRA students, 3) the potential volunteers’ benefits and 4) the potential host society’s benefits. The purpose of this technique is to obtain approximate estimation by asking the basic question: what are the beneficiaries willing to pay for these benefits?
CECSRAs’ students potential higher salary estimation
will be based on the special study of the U.S. Census Bureau entitled, The Big
Payoff: Educational Attainment and Synthetic Estimates of the Work-Life
Earnings (2002). In addition, the salary
information of the
CECSRAs’
Students Potential salary: The
earning scale that fits the best with Hispanic immigrants’ case will come from
the analysis previously mentioned.
Potential
better personal welfare of the CECSRA students: This category stems from the personal non-market
effects in the literature review and will be included in the contingent
valuation surveys developed for the CECSRA students, and thus to calculate
approximately their willingness to pay for these benefits.
Potential
better welfare for family and children: This category stems from the direct effects on other members of
the family when one family member is more educated as well as from the
intergenerational effects in the literature review. These categories will be included in the
contingent valuation surveys developed for the CECSRA students to ask them
their willingness to pay for these benefits.
Volunteers’
benefits: The CECSRA has two
types of volunteer workers, young and old (mature). The literature about volunteering identifies
several benefits for the two types of workers, thus benefits of satisfaction
refer to the older workers of CECSRA. Rouse and
The foregoing characteristics about volunteer workers can be applied to the CECSRA ones. To get some idea of how much these benefits are worth to the volunteer, they must be asked how much they estimate the value of these benefits in monetary terms, in other words, how much they would be willing to pay to get these benefits. Once again, the concept of contingent valuation technique is the base for the calculation of the benefits for volunteers.
Host society:
As mentioned before two problems associated with Hispanics
immigrants are the social order disruptions to the host society as well as the
net fiscal deficit created by the low-skill immigrants. Both students and volunteers will be asked how
much they value avoiding these problems in the contingent valuation survey. Extra information about it such as Rector
(2007) study will be used to complement their response.
Cost
Most of the cost calculation will be
gathered in reference to observable market prices unlikely to data collection
of benefits. Consequently there will not
be a problem to calculate the incurred expenditure of most of the cost.
Salary for
paid staff: This data will come from
CECSRA‘s printed budget reports. It must be mentioned that there are a couple
of occasionally or temporarily paid staff and teachers (volunteers), whose
salary must be printed in the same budget reports.
Supplies: CECSRA counts on the following supplies: desks
and chairs, computers, print machines, a TV and a DVD; educational resources such
as books, videos white dry-eraser boards, a copy machine and kitchen tools such
as refrigerator and microwave oven. To
do these calculations we will necessary collect the prices of these items, and
calculate its total expenditure in a year
Facility
cost: In the case of CECSRA the facility cost are four rooms with total
availability to the CECSRA’s operational schedule, the power (light)
expenditure for the use of the computers, the copy machine, the TV, the kitchen
tools, and the internet payment. Because
all these facilities are provided for free by Our Lady of Peace School, a
personal interview with the financial administrator or accounting chairman will
take place to ask for the accounting records of these expenditures. If they don’t have such record for CECSRA, it
will be necessary to calculate the opportunity costs of the next best use of
the classrooms.
Volunteer
time: Volunteer time will be taken
from the Independent Sector calculation of the volunteer time and because the
Central Savannah River Area belongs to
Transfer
payments: Every donation, as well as
every gift (of any kind), represents a transfer payment, except when the gift
or donation is used to secure resources to carry out the organization’s words
(in simpler terms, when the gift or donation is used for the organization to
pay expenditure.) Hence, all donation
and gifts that are not being used for any payment must be calculated to
determine the transfer payment from all the groups to CECSRA
Potential
increase of the CECSRA’s student labor cost: As a result of getting education the ripples created in the economy
is the change in the price of the CECSRA’s students’ labor force. Said effect
is the long run consequence of CECSRA program; however, this change has already
been counted as a benefit for CECSRA student. The same benefit will represent a
cost increase for CECSRA’s students’ employers. This calculation won’t be
counted twice; nevertheless as a distributional matter it must be shown.
More about
data collection and estimation
Once the analysis has generated all costs and benefits, the values must be summed over the fifteen years of time program operational framework chosen as a time horizon for the purpose of this analysis, since as mentioned before, benefits and costs tend to be distributed over several years. To be able to do this, the benefit and cost streams must be discounted to obtain the present value. Working with “present value” is necessary because a dollar today does not have the same value as a dollar in the future. The reason for why a dollar received today is worth more than a dollar received in five or ten years is that a dollar today can be invested and generate a return; then, the next year can be reinvested and generate a second return, and so on. Hence in two years, the holder of the dollar will have the dollar plus two years compounded interest.
Summarizing, when a program’s benefits and costs are distributed over different time periods, each dollar represents a different quantity depending on when it is incurred. It is therefore required to change all of these dollar values to a common unit of measurement. The typical practice is to discount the future benefits and costs to values in the present, defined as the date resources are first committed to the program. To present value calculation for the benefits the following formula will used.
|
PVB = |
FVBt |
|
(1 + d)t |
PVB is the present value of the benefits, FVB is the future value of the benefits, “d” is the discount rate, and “t” is the time period. For every year a present value must be calculated as follows:
|
PVB = |
FVBo |
+ |
FVB1 |
+ |
FVB2 |
…+… |
FVBn |
|
(1 + d)o |
(1 + d)1 |
(1 + d)2 |
(1 + d)n |
Thus, the general formula for the present value of the benefits is:
|
t PVB = Σ t = 0 |
FVBt |
|
(1 + d)t |
Likewise, the project cost over time must be discounted to the present value.
|
PVC = |
FVCt |
|
(1 + d)t |
PVC is the present value of the costs, FVC is the future value of the costs, “d” is the discount rate, and “t” is the time period. For every year a present value must be calculated as follows:
|
PVC = |
FVCo |
+ |
FVC1 |
+ |
FVC2 |
…+… |
FVCn |
|
(1 + d)o |
(1 + d)1 |
(1 + d)2 |
(1 + d)n |
Thus, the general formula for the present value of the costs is:
|
t PVC = Σ t = 0 |
FVCt |
|
(1 + d)t |
Having calculated all benefits and costs as shown above the research questions can be answered. Thus, whether CECSRA has efficiently carried out its mission and purpose or not, and to what extent the local and regional community benefits from immigrant Hispanic educational gain, will depend on the Kaldor-Hicks criterion. This criterion asserts that a single program promotes efficiency if the social benefits outweigh the social costs. This means that the total net present value (TNPV) must be positive. TNPV is the present value of incremental net benefits generated through the program’s time. If TNPV is bigger than zero, then from society’s perspective, pursuing the policy promotes greater efficiency than not pursuing it. Mathematically, the TNPV can be calculated as follows:
|
TNPV = PVB - PVC = |
t Σ t=0 |
FVBt |
- |
t Σ t=0 |
FVCt |
= |
t Σ t=0 |
FVBt - FVCt |
|
(1 + d)t |
(1 + d)t |
(1 + d)t |
Another straightforward way to test the Kaldor-Hicks criterion for CECSRA is using a benefit-cost ratio (B/C) which stems from the net present value formula; however, division and not subtraction is employed as follows:
|
B/C = |
|
= |
t Σ t=0 |
|
FVBt |
|
|
FVBt |
|
(1 + d)t |
|
|||
|
FVCt |
|
FVCt |
|
|||
|
|
|
(1 + d)t |
|
The CECSRA program will promote efficiency if the benefits outweigh the costs (PVB is bigger than PVC) yielding a benefit cost ratio (B/C) bigger than 1. The more the benefits exceed the costs, the larger is the ratio’s value.
Discount rate and sensitivity analysis
The discount rate (“d” in the formula provided above) is a theme that deserves special attention since the whole analysis, as well as its results and interpretation, is highly sensitive to the discount rate choice. Its power is derived from its location as a part of the TNPV’s denominator. Moreover, the effect is increased because (1+d) is raised to the “t” power and thus grows exponentially as the number of time periods increases. Thus, the higher the discount rate, the greater the denominator, and therefore the lower the TNPV.
Hence, the choice of a specific discount rate can deeply influence the results of the analysis and lead to distinctly different conclusions about the program’s efficiency. Fuguitt and Wilcox (1999) suggest three types of discount rates that must be taken into consideration; these are the rate of return from the best alternative investment, the cost of borrowing funds, and the social rate of time preference. These three rates have their own rationality, theoretical and practical justification, and advantages and disadvantages; although there is no consensus and resolution to the theoretical debate about which rate is best, Fuguitt and Wilcox (1999) favor the Social Rate of Time Preference (SRTP).
The SRTP is the rate at which society as a whole is willing to trade present consumption for future consumption[9]. This rate is similar to the individual rate of time preference, which is expressed in financial markets. Thus, individuals have a positive time preference, meaning that a person values the present more than the future. Likewise society has a positive time preference, but the SRTP is lower than the individual rate. So far researchers have not agreed what the social rate is nor how smaller this rate is compared with the individuals’ rate. Unlike individuals’ time preferences, social time preference rates are not observed in the market.
Thus, economists have worked to specify the social time preference rate, proposing several approaches such as the synthetic discount rate, the weighted average, and the shadow price of capital, but once again there is not a general agreement. Due to the lack of consensus and the lack of time and knowledge to calculate our own STPR, this analysis will take the Spiegelman’s STPR developed in his model to evaluate educational programs. Spiegelman (1968) created a 4.5 STPR as a midway between the rate of productivity increase and the corporate long-term borrowing rate.
As it can be implied, the selection of a discount rate becomes a critical decision because it can easily enable subjectivity influenced by the analyst. To provide objectivity, a selective sensitivity analysis must be performed for the discount rate. Thus, the analysis must take the 4.5 percent as the lower of three discount rate followed by 5.5 and 6.5 percent. Each rate will be computed in the TNPV calculation and all three TNPVs for the program will be reported and interpreted. A useful tool to perform the sensitive analysis is the “discount factor”, that is the fraction 1/(1+d)t which is multiplied by FVBt – FVCt to obtain the TNPV. All the discount factors that will be used in the sensitive analysis are presented in the following table; each one will be multiplied by the result of benefits minus costs.
Discount Factors
|
Year |
|
d = 4.5 % |
|
d = 5.5 % |
|
d = 6.5 % |
|
|
|
|
|
|
|
|
|
1 |
|
0.9569 |
|
0.9479 |
|
0.9390 |
|
|
|
|
|
|
|
|
|
2 |
|
0.9157 |
|
0.8985 |
|
0.8817 |
|
|
|
|
|
|
|
|
|
3 |
|
0.8763 |
|
0.8516 |
|
0.8278 |
|
|
|
|
|
|
|
|
|
4 |
|
0.8386 |
|
0.8072 |
|
0.7773 |
|
|
|
|
|
|
|
|
|
5 |
|
0.8025 |
|
0.7651 |
|
0.7299 |
|
|
|
|
|
|
|
|
|
6 |
|
0.7679 |
|
0.7252 |
|
0.6853 |
|
|
|
|
|
|
|
|
|
7 |
|
0.7348 |
|
0.6874 |
|
0.6435 |
|
|
|
|
|
|
|
|
|
8 |
|
0.7032 |
|
0.6516 |
|
0.6042 |
|
|
|
|
|
|
|
|
|
9 |
|
0.6729 |
|
0.6176 |
|
0.5674 |
|
|
|
|
|
|
|
|
|
10 |
|
0.6439 |
|
0.5854 |
|
0.5327 |
|
|
|
|
|
|
|
|
|
11 |
|
0.6162 |
|
0.5549 |
|
0.5002 |
|
|
|
|
|
|
|
|
|
12 |
|
0.5897 |
|
0.5260 |
|
0.4697 |
|
|
|
|
|
|
|
|
|
13 |
|
0.5643 |
|
0.4986 |
|
0.4410 |
|
|
|
|
|
|
|
|
|
14 |
|
0.5400 |
|
0.4726 |
|
0.4141 |
|
|
|
|
|
|
|
|
|
15 |
|
0.5167 |
|
0.4479 |
|
0.3888 |
Own elaboration base on
Fuguitt and Wilcox (1999)
Results
Benefits matrix
results[10]
CECSRAs’ students potential higher salary estimation
was based on the US Census Bureau, which provides with an annual amount of
$23,127.75 as the high-school earning for Hispanic and base on the salary
information from Augusta Technical College (see appendix C), which provides annual
salary information by programs (technical carrier). $18,500 dollars was the possible future
salary chosen for the CECSRA alumni. In
the case of the CECSRA students, it must be recognized that age is an important
variable that may or may not undermine their probabilities of making $23,127.75
a year. Moreover, in salary information
provided by the Augusta Tech Career Service office, the projections go from
$13,850 (for a law clerk) to $56,200 (for a sales service manager). Realistically, $18,500 was chosen because other
variables such as migration status can also affects their chances of getting a
job like a sales service manager, so $18,500 is the middle point between
$13,850 and $23,127.75. Surprisingly,
$18,500 (proxy) is the corresponding salary for jobs such as Nurse Aid, Nursing
Assistant, and Certificated Nursing Assistant which is in the case of the
female CECSRA students the most desired profession. Thus, $18,500 was
multiplied by the number of student surveyed (27) giving a total amount of
$499,500 dollars.
The potential better personal welfare as well as the potential better welfare for family and children calculations stem from the contingent valuation students’ survey. Students were asked the following three questions: 1) If the school implements tuition and fees charge in the short run, would you be willing to pay it, taking into consideration all the benefits mentioned?, 2) If yes, how much money are you willing to pay per fees monthly?, and 3) from the quantity you chose, what percentage would you allocate to the eighteen benefits presented to you? The students responded that they collectively would be willing to pay an amount of $6,900 dollars in fees annually. From this quantity, students allocated an amount of $3,999.6 dollars to personal welfare and an amount of $1,506 to children and family welfare, and the rest of the $6,900 went to society benefit.
The volunteers’ benefits calculations stem from the contingent valuation volunteers’ survey. Volunteers were asked: 1) If the school ask you to donate or contribute money in the short run, would you donate money to the school, taking into consideration all the benefits mentioned?, 2) If yes, how much money would you donate per month?, and 3) from the quantity you chose, what percentage would you allocate to the twelve benefits presented to you?. Hence, they responded that they collectively would be willing to donate an amount of $1,740 dollars annually, from which they allocated an amount of $1,158 to the benefits that they receive by volunteering at CECSRA, and the rest of the $1,740 went to society’s benefit.
Host society’s benefits calculation is the addition of “cultural assimilation and contributes to the tax system” on the students’ side plus the addition of “avoid net fiscal deficit and return to social harmony” on the volunteers’ side. Collectively, the four concepts added an annual total amount of $938.4 dollars. It is pertinent to mention here that on the students’ side the concepts were seen as a willing to pay; while on the volunteers’ side the concepts were seen as willing to avoid. Thus, volunteers are willing to pay to avoid a problem. The whole benefits matrix is shown below.
|
Benefit
Matrix for Centro Educativo |
||||||
|
Benefits Beneficiaries |
|
CESRA students |
Children and Family |
Volunteer and paid Staff |
Society |
TOTAL |
|
1) CECSRAS’ STUDENT POTENTIAL HIGHER SALARY |
|
$499,500.00 |
|
|
|
$499,500.00 |
|
2) POTENTIAL
BETTER PERSONAL WELFARE |
|
|
|
|
|
|
|
Warmth from the group |
|
$237.60 |
|
|
|
$237.60 |
|
Learn new skill |
|
$1,218.60 |
|
|
|
$1,218.60 |
|
Social networking |
|
$249.00 |
|
|
|
$249.00 |
|
Obtain references |
|
$135.00 |
|
|
|
$135.00 |
|
Better health |
|
$615.90 |
|
|
|
$615.90 |
|
Efficient consumer choices |
|
$183.00 |
|
|
|
$183.00 |
|
Efficiency labor search |
|
$411.00 |
|
|
|
$411.00 |
|
Efficient marital choices |
|
$139.20 |
|
|
|
$139.20 |
|
Entertainment |
|
$126.60 |
|
|
|
$126.60 |
|
Self confidence |
|
$424.80 |
|
|
|
$424.80 |
|
Saving |
|
$258.90 |
|
|
|
$258.90 |
|
3) POTENTIAL
BETTER WELFARE FOR FAMILY AND CCHILDREN |
|
|
|
|
|
|
|
Desired family size |
|
|
$227.70 |
|
|
$227.70 |
|
Positive effect on your
spouse’s earning |
|
|
$204.00 |
|
|
$204.00 |
|
Be able to advise |
|
|
$381.30 |
|
|
$381.30 |
|
Better life for children |
|
|
$693.00 |
|
|
$693.00 |
|
Cultural assimilation (HSB) |
|
|
|
|
$257.40 |
$257.40 |
|
Contribute to the tax system
(HSB) |
|
|
|
|
$99.00 |
$99.00 |
|
4) POTENTIAL
BENEFITS FOR VOLUNTEERS |
|
|
|
|
|
|
|
Altruistic satisfaction |
|
|
|
$114.00 |
|
$114.00 |
|
Use your skill |
|
|
|
$159.00 |
|
$159.00 |
|
Get recognition |
|
|
|
$21.00 |
|
$21.00 |
|
Warmth from the group |
|
|
|
$75.00 |
|
$75.00 |
|
Teaching experience |
|
|
|
$180.00 |
|
$180.00 |
|
Learn new skill |
|
|
|
$159.00 |
|
$159.00 |
|
Social networking |
|
|
|
$105.00 |
|
$105.00 |
|
Build résumé |
|
|
|
$3.00 |
|
$3.00 |
|
Guide the school |
|
|
|
$108.00 |
|
$108.00 |
|
Involvement |
|
|
|
$234.00 |
|
$234.00 |
|
Avoid net fiscal deficit
(HSB) |
|
|
|
|
$414.00 |
$414.00 |
|
Return to social harmony
(HSB) |
|
|
|
|
$168.00 |
$168.00 |
|
TOTAL |
|
$503,499.60 |
$1,506.00 |
$1,158.00 |
$938.40 |
$507,102.00 |
Source: Own creation
Note: 1) HSB means host society’s benefits; 2)
Willingness to pay for future higher salary was substituted by the information
on the table, but the number can be consulted in appendix section.
Costs matrix
results
The salary for paid staff[11] calculation stem from a personal interview with the CECSRA’s accounting officer, who disclosed accounting records of the school and thus was determined that annually the paid staff receives an amount of $6,440 dollars. In the first year of the school’s activities the salaries were paid by the South Carolina Outreach Program ($3220) and the Local Hispanic Ministries ($3220). By the second years of activities until now, the staff paid salary is being paid by the Mexican Government ($2,600), OLP’s Outreach Program ($1,920), and the Local Hispanic Ministries ($1920).
After conducting an inventory search, personal phone
calls with personnel from OLP’s Church and School accounting department and
administrative personnel from OLP’s Outreach program, and prices search on the
market, the supplies costs were calculated as $20,427.44. This quantity was donated as supplies’ gift
as follows: the church donated some chairs, tables, computers (computers’ price
includes printers’ price), a copy machine, kitchen appliances, and
bookshelves. The
Facility costs were calculated by taking the price
that the
The Independent Sector estimates that volunteer time
per hour is worth $18.77 in
|
Costs Matrix for Centro Educativo Central |
||||||||
|
Costs Donors |
|
All Donors |
OLP’s Church Members* and Parents who have children
in OLP school~ |
ASU students and local community |
TOTAL |
|||
|
|
Mexican Government |
|
|
Local Hispanic Ministries |
||||
|
SALARY FOR PAID STAFF |
|
$2,600.00 |
$1920.00~ |
|
$1,920.00 |
|
|
$6,440.00 |
|
SUPLIES |
|
|
|
|
|
|
|
|
|
Desks |
|
|
|
|
|
$200.00~ |
|
$200.00 |
|
Chairs |
|
|
$2750.00~ |
|
|
$508.75 |
|
$3,258.75 |
|
Tables |
|
|
|
|
|
$1078.69* |
|
$1,078.69 |
|
Computers |
|
|
|
|
|
$5000.00* |
|
$5,000.00 |
|
Printers |
|
|
|
|
|
XXX(-) |
|
|
|
TV |
|
|
|
|
|
$140.00~ |
|
$140.00 |
|
DVD |
|
|
|
|
|
$65.00~ |
|
$65.00 |
|
Educational
books and videos |
|
XXX(-) |
|
|
|
|
|
|
|
White
dry-eraser board |
|
|
|
|
|
$140.00~ |
|
$140.00 |
|
Copy machine |
|
|
|
|
|
$10,000.00* |
|
$10,000.00 |
|
Kitchen
appliances |
|
|
|
|
|
$145.00* |
|
$145.00 |
|
Bookshelves |
|
|
|
|
|
$100.00* |
|
$100.00 |
|
File cabinet |
|
|
$300.00~ |
|
|
|
|
$300.00 |
|
FACILITY |
|
|
|
|
|
|
|
|
|
4 classrooms |
|
|
|
|
|
$134400.00~ |
|
$134,400.00 |
|
Power (light) |
|
|
|
|
|
XXX(-) |
|
|
|
Internet
payment |
|
|
|
|
|
XXX(-) |
|
|
|
water |
|
|
|
|
|
XXX(-) |
|
|
|
Heating |
|
|
|
|
|
XXX(-) |
|
|
|
Maintenance |
|
|
|
|
|
XXX(-) |
|
|
|
VOLUNTEER TIME |
|
|
|
$822.96 |
|
|
$8,229.60 |
$9,052.56 |
|
TOTAL |
|
$2,600.00 |
$4970.00 |
$822.96 |
$1,920.00 |
$151,777.44 |
$8,229.60 |
$170,320.00 |
Source: Own creation
Note: Numbers with * belong to the South Carolina
Outreach Program*, while numbers with ~ belong to OLP's Outreach Progam~. The same criterion applies to the fifth
column before the last column.
Transfer payment matrix results
As previously stated, a transfer payment is a shift of resources from one person or group to another that does not involve a net change in value of resources available to society as a whole, for example, a payment of money from the government to an individual (in the form of food stamps) from which no good or service is required in return. Commonly, transfer payments are in the form of taxes, gifts, donations (including money, supplies, space, utilities, and volunteer time), welfare payment, and excess profits that are entered as costs in the bookkeeping sense, but are not costs in an economic sense. For this reason, the computation of transfer payment is irrelevant to the calculation of the net benefits and costs, nevertheless when distributional consideration is introduced to the analysis the picture changes. This is because from the viewpoint of particular groups transfer payments constitutes net change in resources, meaning that for the donor group it represents real costs, while for the receiver group it represents real benefits.
Accordingly, and as it has been shown along this study, CECSRA has maintained itself through all donation and gifts that it has received from all donor groups shown in the matrix cost above; consequently, all those donations and gifts represent transfer payment from all groups to CECSRA. Hence, all the transfer payments involved in the CECSRA case are shown in the transfer payment matrix table[12]. It must be clarified that all donation in money that has been used to pay the salary of the paid staff were discounted from the calculations. This is because when a gift or donation is utilized to secure resources used to carry out the organization’s work, then this action represents a cost in the economic sense because new value is created throughout the payment (clearly, this violates the transfer payment definition). Therefore, the $3,220 that the South Carolina Outreach Program donated in its first year of operations, the $1,920 from Local Hispanic Ministries, the $1,920 from OLP’s Outreach program, and the $2,600 from the Mexican Government, used to pay the $6,440 annual salary does not appear in the following transfer payment matrix. Additionally, it must be noticed that the Mexican Government transfer payment in the form of educational books and video supplies was not calculated but shown on the table. Finally, it must be remarked that transfer payment must add zero horizontally because it is showing how the funds are allocated; in other words, the same amount that a group gains, the other loses.
|
Transfer payment matrix for CECSRA |
|||
|
Donors (-) Receivers (+) |
Students children and family of CECSRA |
Society as a whole |
|
|
ASU students and local community |
$8,229.60 (-) |
$8,229.60 (+) |
0 |
|
OLP’s Church Members |
$16,832.44 (-) |
$16,832.44 (+) |
0 |
|
Parents who have children in OLP school |
$134,945.00 (-) |
$134,945.00 (+) |
0 |
|
|
$822.96 (-) |
$822.96 (+) |
0 |
|
OLP's Outreach Progam |
$3,050 (+) |
$3,050 (-) |
0 |
|
Mexican Government |
XXX(-) |
XXX(+) |
0 |
|
Society as a whole |
$163,880.00 (-) |
$163,880.00 (+) |
0 |
Source: Own creation
Secondary
effect results
As mentioned before, secondary effects are the ripples created in the economy by changes in the price of resources associated with the primary program activity under evaluation. In the case of the Central Savannah River Area, the students are part of the Hispanic cheap labor force that allows certain industries such as landscaping and construction to make substantial profits. However, once the students from CECSRA graduate and pursue higher education (probably technical) they no longer will be willing to work in those industries. Although, this looks like a negative effect (at least for these industries’ employers), a better salary means a higher CECSRA students buying power that will stimulate, in a positive way, the whole local economy through a multiplier effect[13]. Nonetheless, such effects have already been shown in the calculation of CECSRA student potential higher salary (the other side of the coin). On the analysis this must not be computed twice to avoid double counting, however, as a distributional matter it is important to show it because reveal how cost and benefits of the program affect different groups or communities.
Present value transformation
CECSRA was created to operate indefinitely, but for the purpose of this analysis fifteen years was chosen as a time in which society will accrue all the benefits that are direct consequences of the school’s program. Furthermore, some benefits and costs tend to be distributed over several years. As it was affirmed in the methodology section, money donated and invested today in the school, but which will be consumed through the school life (in this case fifteen years) and not in the year that was donated and received, have a different value in the future. This is because a dollar today will have a different value in five or ten years from now. This means that, although it has been assumed that benefits and costs calculation (shown in the previous section) will be constant throughout the years, every year will technically have a different benefit and cost value due to the change in the money value. Therefore, the future costs and benefits must be calculated into present-day value. In other words, future costs and benefits must be changed into present value before adding them (to consult detailed calculation about the present value transformation see appendix D).
Present
value of benefits
The present values of the CECSRA students’ potential higher salary, as well as the rest of the benefits’ present values, were calculated using the discount factor developed on page thirty-eight (a SRTP of 5.5% is being used from now). Thus, for every year, the corresponding discount factor was multiplied by $499,500 from the benefit matrix. By adding the result for the 15 years, the present value of potential higher salary was $5,013,771.68. The calculation procedure is outlined below.
|
Present value of Hispanics' Potential higher Salary |
||
|
Discount factor |
Higher salary |
Result |
|
0.9479 |
499500 |
473459.72 |
|
0.8985 |
499500 |
448776.98 |
|
0.8516 |
499500 |
425381.03 |
|
0.8072 |
499500 |
403204.76 |
|
0.7651 |
499500 |
382184.61 |
|
0.7252 |
499500 |
362260.29 |
|
0.6874 |
499500 |
343374.69 |
|
0.6516 |
499500 |
325473.64 |
|
0.6176 |
499500 |
308505.82 |
|
0.5854 |
499500 |
292422.57 |
|
0.5549 |
499500 |
277177.80 |
|
0.5260 |
499500 |
262727.77 |
|
0.4986 |
499500 |
249031.06 |
|
0.4726 |
499500 |
236048.40 |
|
0.4479 |
499500 |
223742.56 |
|
Total |
5013771.68 |
|
The rest of the benefits’ present values were calculated using the same procedure already shown. Accordingly, by adding the result for the fifteen years, the present value of potential better personal welfare were $40,146.31, potential better welfare for family and children were $15,116.60, volunteer’s benefits were $11,623.52, and host society’s benefits were $9,419.27. Jointly, the total benefits’ present values were $5,090,077.37.
Present value of costs.
The present value of the salary for paid staff, as well as the rest of the costs’ present value, was calculated using the same discount factor that was previously used (which includes a SRTP of 5.5%). Thus, for every year the corresponding discount factor was multiplied by $6,440 from the cost matrix. By adding the result for the fifteen years, the present value of salary for paid staff was $64,642.02. The calculation procedure is outlined below.
|
Salary for paid staff |
||
|
Discount factor |
Salary |
Result |
|
0.9479 |
6440 |
6104.27 |
|
0.8985 |
6440 |
5786.03 |
|
0.8516 |
6440 |
5484.39 |
|
0.8072 |
6440 |
5198.48 |
|
0.7651 |
6440 |
4927.47 |
|
0.7252 |
6440 |
4670.58 |
|
0.6874 |
6440 |
4427.09 |
|
0.6516 |
6440 |
4196.30 |
|
0.6176 |
6440 |
3977.53 |
|
0.5854 |
6440 |
3770.17 |
|
0.5549 |
6440 |
3573.62 |
|
0.5260 |
6440 |
3387.32 |
|
0.4986 |
6440 |
3210.73 |
|
0.4726 |
6440 |
3043.35 |
|
0.4479 |
6440 |
2884.69 |
|
Total |
64642.02 |
|
The rest of the costs’ present values were calculated using the same procedure just shown. Accordingly, by adding the result for the fifteen years, the present value of supplies was $13,669.47[14], facility costs were $1,349,050.88, and volunteers’ time were $90,865.80. Jointly, the total costs’ present value was $1,518,228.18.
Present value of transfer payment
The present value of the all donors’ transfer payment, as well as the rest of the transfer payments, was calculated using the same discount factor that was previously used (which includes a SRTP of 5.5%). The all donors transfer payment quantity here was built by adding $822.96 plus $3,050 from the transfer payment matrix which equals an amount of $3,872.96. Thus for every year the corresponding discount factor was multiplied by $3,872.96. By adding the result for the fifteen years, the present value of the all donors transfer payment was $38,875.15. The calculation procedure is outlined below.
|
Present value of all donors transfer payment |
||
|
Discount factor |
All donors |
Result |
|
0.9479 |
3872.96 |
3671.05 |
|
0.8985 |
3872.96 |
3479.67 |
|
0.8516 |
3872.96 |
3298.27 |
|
0.8072 |
3872.96 |
3126.32 |
|
0.7651 |
3872.96 |
2963.33 |
|
0.7252 |
3872.96 |
2808.85 |
|
0.6874 |
3872.96 |
2662.42 |
|
0.6516 |
3872.96 |
2523.62 |
|
0.6176 |
3872.96 |
2392.05 |
|
0.5854 |
3872.96 |
2267.35 |
|
0.5549 |
3872.96 |
2149.15 |
|
0.5260 |
3872.96 |
2037.11 |
|
0.4986 |
3872.96 |
1930.91 |
|
0.4726 |
3872.96 |
1830.24 |
|
0.4479 |
3872.96 |
1734.83 |
|
Total |
38875.15 |
|
The rest of the transfer payments’ present values were calculated using the same procedure just shown. Accordingly, by adding the result for the fifteen years, the present value of OLP’s Church Members and Parents who have children in OLP School was $1,523,478.34, and ASU students and the local community was $82,605.28. Jointly, the total transfer payment’s present value was $ 1,644,958.77.
Present value of secondary effects
The present value
of secondary effects is the same as the present value of the CESRA student
potential higher salary, which means an increase in the cost of the students as
a labor force for the local and regional employers. Thus the total secondary effects’ present
value was $5,013,771.68.
Conclusions
Once the total present value of benefits and cost is computed, the costs must be subtracted from benefits to determine the total net present value (TNPV). Accordingly, $5,013,771.68 minus $1,518,228.18 equals $3,571,849.20 which is the TNPV. This TNPV allows the analysis to answer the two research questions that inspired this study: 1) Has the CECSRA carried out its mission and purpose efficiently? and 2) To what extent does the local and regional community benefit from immigrant Hispanic educational gain?
At first glance the answer to the first question seems to be YES in the simple sense of cost and benefits, but what about distributional concerns? Is the Central Savannah River Area really better off because the Hispanic community is gaining value at the cost of the host community resources consumption? To answer this question the Kaldor-Hicks criterion must be brought to scene. This criterion asserts that a policy or program is efficient “from society perspective” if the total present value of benefits is bigger than the total present value of costs (to the extent that those who gain must be able to compensate those who lose) similar to what is happening in CECSRA case. Kaldor-Hicks’s efficiency criterion requires a commitment from society for distributional justices, especially when it comes to equity and fairness concerns for improving the situation of the least fortunate (or making the distribution of society’s wealth more equitable). This is because what the criterion implies is that a policy or program is justifiable for society as a whole, to make some worse off if this means a greater gain for another.
To put it in clearer terms it is necessary to test the Kaldor-Hicks criterion in an alternative way by using a benefits-cost ratio (benefits divided by costs), hence $5,013,771.68 divided by $1,518,228.18 equals approximately 3.35. What this ratio is revealing is that CECSRA will continuously carry out its mission and purpose in a way in which it has in the past, present, and future, producing more than three times the value that the school is receiving from society. This fact entails that the school could in theory compensate its donors (by giving back all the value that it has received) and still keep more than two times of the donated value. This is the reason why it is been said that CECSRA has, is, and will be carrying out its mission and purpose efficiently as long as its costs and benefits structure does not suffer drastic alterations. Notice that eventually, all the value that CECSRA is creating will be released to society and this fact leads us to the second research question.
This study has been conducted using a distributional analysis perspective by displaying who gets what; in other words, it has been shown in every matrix table along the paper who beneficiaries are and who bears the cost of the program. This partially explains the extent at which the local and regional community benefits from immigrant Hispanic educational gain. By reference to the benefits matrix table, it can be concluded that not only the CECSRA students (as well as their children and family), but the volunteers and the host society (Central Savannah River Area community) are receiving some kinds of benefits in one way or another. For example, ASU students benefit from the fact of having a place where they can not only use their skills, but also reaffirm what they are being taught in the school, and even gain teaching abilities. Furthermore, the host society benefits from the fact that an educated immigrant is more likely to follow the rules.
Nonetheless, it can easily be argued by direct comparison between the costs and benefits matrix tables that the costs exceeds the benefits, which the local and regional community receives from the program, while the larger majority of benefits is being received by the CECSRA students. This fact can be explained in part, due to the method used for calculating all the benefits received by the other groups. However, it must be remembered that what these numbers are expressing (for the case of contribution to the tax system, for instance) is not the real amount of money that CECSRA students will contribute with the tax system ($99 dollar annually on the benefit matrix table), but how much they value the possibility of being able to contribute to the tax system. In other words, the amount the students are willing to pay to be able to contribute to the tax system.
Thus, to calculate the real amount of money in the form of taxes that those students will contribute to the tax system requires much more information beyond personal assessment and higher sophisticated statistical techniques to make the appropriate projection. The same can be said for calculating the accurate amount of money that the health system is going to save if those students reach better personal, pediatric, and family health and no longer burden the public health system. The quantity of money saved in the form of reduced crime rates, (which in turn means lower property damage and lower crime prevention costs), and the money saved for facing negative effects of schools overcrowding of Hispanic children, will represent savings and therefore, benefits to the host society. Certainly, to preserve the host society’s harmony (no change at all, especially no extra expenditure, due to Hispanic presence) is worth more than the annual $168 dollars expressed by volunteers on the benefits matrix table. Finally, it must also be said that the larger benefit is the CECSRA’s students’ potential salary. This, in turn, means a bigger buying power that will stimulate the business cycle of the community, which is also beneficial to society.
So, to what extent does the local and regional community benefit from immigrant Hispanic educational gain? The information contained here is not enough to accurately answer such a question, but the insights disclosed here, permit us to indicate the direction for future research, attempting to address the question. The Social-Cost Benefits Analysis matrix is out lined below.
Sensitivity analysis
As it was stated in the methodology section, for the sake of enabling the objectivity of the analysis, a sensitivity analysis was performed. Hence, the whole process to calculate the present value (projected to fifteen years) of every benefits and cost was repeated, using a discount factor with a SRTP of 4.5% and 6.5%. Thus a new Social-Cost Benefits Analysis matrix was created for every SRTP, which can be consulted in the appendix E.
Here, a sensitivity of net benefits (quantified benefits less costs) table by groups is shown, this table discloses how numbers are affected depending of the SRTP used. Naturally, the larger the SRTP the smaller the numbers are. The impact of every SRTP is better appreciated by analyzing the percentage decrement from one SRTP to the other, which in general, does not exceed the 6.5%. Actually 6.5% is the percentage decrement from 4.5 to 5.5, while 6.3% is the percentage decrement form 5.5 to 6.5.
Therefore, it can be said that the social rates of time preference do not have a sizeable impact (less than 7% in scale form 1 to 100%) on the net present value calculation. This means that the whole analysis is not highly sensitive to the choice of SRTP. Consequently, the social rates do not alter the conclusion concerning the promotion of the social efficiency by the CECSRA, since every total net present value is positive and bigger than $3,000,000.00, regardless of if it is 4.5%, 5.5%, or 6.5% SRTP. Other way to reaffirm this is by calculating the benefit/cost ratio for every SRTP case. Accordingly, 3.35 is still the benefits/cost ratio, regardless of which SRTP is being used. The Sensitivity of Net Benefit to SRTP table is shown after the Social Cost Benefit Analysis Matrix table.
|
Social Cost Benefit Analysis Matrix
Framework for Centro Educativo Savannah River area |
|||||||
|
|
|
CESRA students |
Children and Family |
All Donors |
Volunteer (ASU students and local
community) and paid Staff |
OLP's Church Members and Parents who
have a children in OLP school |
Society |
|
|
|
|
|
|
|
|
|
|
PV of Benefit |
|
|
|
|
|
|
|
|
CECSRAs’ student
potential higher salary |
|
$5,013,771.68 |
|
|
|
|
$5,013,771.68 |
|
Potential better personal welfare |
|
$40,146.31 |
|
|
|
|
$40,146.31 |
|
Potential better welfare for family and children |
|
|
$15,116.60 |
|
|
|
$15,116.60 |
|
Volunteers' benefits |
|
|
|
|
$11,623.52 |
|
$11,623.52 |
|
Host Society |
|
|
|
|
|
|
$9,419.27 |
|
|
|
|
|
|
|
|
|
|
PV of cost |
|
|
|
|
|
|
|
|
Salary for paid staff |
|
|
|
$64,642.02 |
|
|
$64,642.02 |
|
Supplies |
|
|
|
|
|
$13,669.47 |
$13,669.47 |
|
Facility costs |
|
|
|
|
|
$1,349,050.88 |
$1,349,050.88 |
|
Volunteer time |
|
|
|
|
$90,865.80 |
|
$90,865.80 |
|
|
|
|
|
|
|
|
|
|
PV of transfer payments |
|
|
|
|
|
|
|
|
Centro Educativo |
|
$1,644,958.77 |
|
$38,875.15 |
$82,605.28 |
$1,523,478.34 |
$0.00 |
|
|
|
|
|
|
|
|
|
|
PV of Secondary effects |
|
|
|
|
|
|
|
|
Potential Increase of the CECSRAs’ student labor
force |
|
|
|
|
|
|
$5,013,771.68 |
|
|
|
|
|
|
|
|
|
|
PV of Benefits - Costs |
|
$6,698,876.76 |
$15,116.60 |
$103,517.17 |
$161,847.56 |
$2,886,198.69 |
$3,571,849.21 |
Note:
1) secondary effects must be shown, but not counted to avoid double count. 2)
Transfer payment must add zero horizontally. 3) $161,847.56 from Volunteer (ASU
students and local community) and paid staff is the result of ($90,865.80-$11,623.52)
+ $82,605.28. 4) Added horizontally in “PV of Benefits – Costs” row, $9,419.27
(host society benefits) must be added to benefits in order to obtain
$3,571,849.21. 5) of the transfer
payment receive by CECSRA students must be split between CECSRA students and
their children and family.
|
Sensitivity of Net Benefits to
Discount Rate (Quantified Benefits less Costs) |
|||||||
|
|
|
CESRA students |
Children and Family |
All Donors |
Volunteer (ASU students and local
community) and paid Staff |
OLP's Church Members and Parents who
have a children in OLP school |
Society |
|
PV of Benefits - Costs |
|||||||
|
SRTP |
|
|
|
|
|
|
|
|
4.5% |
|
$7,167,353.73 |
$16,173.76 |
$110,756.51 |
$173,166.15 |
$3,088,041.13 |
$3,821,641.69 |
|
5.5% |
|
$6,698,876.76 |
$15,116.60 |
$103,517.17 |
$161,847.56 |
$2,886,198.69 |
$3,571,849.21 |
|
6.5% |
|
$6,275,149.38 |
$14,160.42 |
$96,969.35 |
$151,610.14 |
$2,703,636.53 |
$3,345,917.25 |
|
Percentage decrement |
|||||||
|
Percent change |
|
|
|
|
|
|
|
|
From 4.5 to 5.5 |
|
6.5% |
6.5% |
6.5% |
6.5% |
6.5% |
6.5% |
|
From 5.5 to 5.6 |
|
6.3% |
6.3% |
6.3% |
6.3% |
6.3% |
6.3% |
Source: Own creation
Limitation and recommendation for future researches
Cost-Benefit
analysis has been applied to a wide variety of policy and program
problems. Generally speaking, it is one
of the most useful analytical tools at the disposal of policy and program
analysts. Nonetheless, there are limitations
to cost-benefit analysis. Many of them
can be traced back to methodological and measurement difficulties. Also, like many analytical schemes,
cost-benefits analysis makes certain assumptions, sometimes ideological
assumptions, which color the analysis (
Methodological and measurement difficulties
Benefits
To estimate the potential better personal welfare, the potential better welfare for family and children, volunteer’s benefits, and the host society benefits for the CECSRA, require the use of a data set collected during a period that is likely longer than fifteen years, which simply does not exist right now. To deal with such problems (and to avoid excluding these benefits form the analysis) a contingent valuation approach was used. The pros and cons of the contingent valuation technique have been discussed over a period of four decades without reaching consensus and agreement; although several advances have been made.
For this project, a contingent valuation survey was developed and a survey of this kind has predetermined methodological difficulties and challenges that must be mentioned. Hence, it is highly recommended to apply a pretest to ensure that everything on the survey works the way it is intended. As a result, the pretest may reveal problems with individual questions, due to the lack of time a pretest was not conducted. Moreover, a contingent valuation survey with evaluation questions, consisting of close-ended answers (dollar interval response categories), commonly suffer the following flaws: 1) starting point bias, 2) quick unconsidered answer, 3) approximate data value, and 4) strategic bias.
On the valuation scenario (the hypothetical scenario), which is probably the most important part of this kind of survey, contributions and donations as a payment vehicle (the way of paying for the change in resource allocation) and policy implementation (the regulation or enforce payment) are troublesome. This is precisely because contributions and donations are not enforceable, and this can explain why five out of twelve volunteers responded NO to the question of whether or not they would donate money to the CECSRA. This was not the case with CECSRA students, who answered YES to the same question, because fees were perceived as a realistic and enforceable payment vehicle.
Costs
As was shown before, the salary for paid staff, the supplies cost, the facility cost, and the volunteer time was calculated using different procedures for each one. The most reliable and accurate calculation is the first one, while supplies and facility costs are good approximations but not exact calculations. Thus, the supplies calculation stems from information disclosed by the accounting department and administrative personnel from OLP’s Church, School and Outreach program, as well as from price observations of similar resources in related commercial market places, while facility cost stems from the assumption of the “next best use”.
Hence, an important concept, that can gives more accuracy to the calculation, like depreciation (to subtract used values), was not taken into consideration. Likewise, the cost of some of the facilities that was paid two, three or more years ago, was not changed into present value (from the past to the present). Additionally, the costs of desks, chairs, TV and DVD, dry-eraser boards, and kitchen appliances were gathered by price reference of similar resources in the market. However, it was impossible to find exactly the same make and model of all of these items since the retail market is extremely dynamic and every day new models arise and the old ones are eliminated from the market.
Furthermore, it
was assumed that the “next best use” (which constitutes the base of the concept
of opportunity cost) of the four classrooms (facilities costs) that the OLP’s
School allows use by the CECSRA would be to rent it to any other organization
or group for any other purpose. It must
be kept in mind that before the school allowed the CECSRA to use its
classrooms, the classrooms remain empty with only occasional use. Finally, it
must be recognized that the calculation of the voluntary time also requires
figuring out what would be the next best use of the CECSRA volunteers’ time if
they were not working for the school, i.e., what they are losing by being in
the CECSRA every Wednesday morning and every Thursday night, and how much they
value what they are losing. This
calculation requires a contingent valuation method, assuming that they would
not have worked for payment in any other place. To avoid this process it was
taken the Independent Sector calculation of volunteer time, assuming that they
have faced all the challenges related with voluntary time calculation.
Assumptions
As can be noted with this project, the analysis relies heavily on assumptions, some of which can be labeled as unrealistic, unobservable, or unverifiable assumptions. Nonetheless, these assumptions result from abstractions necessary to study a complex theme such as “efficiency from society perspective”. Hence, plausible and realistic conclusions or predictions can be deduced from those unrealistic assumptions, as has been asserted by distinguished economists like Milton Friedman and Paul Samuelson. However, for the sake of enabling methodological consistency and avoiding methodological bias it is necessary to reveal the most important assumptions made in this research.
Thus, some of the particular assumptions have already been exposed along with the research, for example, that similar supplies prices are representative of the supplies costs used at CECSRA, and that the next best use of the four classrooms used by CECSRA would be to rent to another organization. But there are some other general assumptions that may or may not be obvious to the readers and therefore must be pointed out here. Therefore, the main three assumptions are 1) that the potential better personal, family and children, as well as society general improvement are direct consequences of the CECSRA program; 2) that all the students will go through the program until they acquire their GED certification; 3) that the costs of the year 2007 are representative of the costs for the fifteen years chosen as the program operational framework as well as representative of the costs of previous years.
Certainly, researchers have demonstrated that some causal relations exist between education and the personal, family, and children welfare, as well as general society improvement (in this case the recovery of the host society harmony), but there is not agreement about to what extent education leads to personal, family, and children welfare and society general improvement. In defense of this assumption it must be said that a higher salary is also an explanatory variable of personal, family, and children welfare as well as society general improvement. Therefore, if it is accepted that as a result of the CECSRA program the students are going to earn a higher salary, then the personal, family, and children welfare as well as society improvement are even more likely.
In defense of the second assumption, it can only be said that every day in class CECSRA students are encouraged not only to go through the entire program until they obtain their GED certification, but also to do so as quickly as possible. Regarding the last assumption, it must be said that shadow prices (prices of similar items) and thinking in “next best use” terms are satisfactory ways to calculate the opportunity cost (when a direct price does not exist). Additionally, the following must be remembered: 1) the only real cost is the salary for paid staff which may or may not modestly increase over the years; 2) the voluntary work that may or may not modestly increase over the years but this is not a real cost; 3) supplies costs, can decrease instead of increase if depreciation variable is incorporated into the analysis; 4) it is quite possible that OLP’s school will allow CECSRA to operate in its facilities in the long run.
Recommendation for future researches
After commenting on the benefits and cost measurement difficulties as well as the assumptions on which the whole analysis relies, the challenges that similar future research must face and overcome are revealed. Consequently, future SCBA of CECSRA must test the validity, reliability and willingness to pay for responses on the contingent valuation survey. In other words, future researchers must assess the consistency of responses with theoretical expectations as well as the repeatability of the survey measurement. These tests can be performed by testing the relationship between willingness to pay and various socioeconomic and demographic variables, using alternative statistical techniques such as cross-tabulation and regression analysis. The volunteers’ willingness to pay, requires special attention since (as it has been already asserted) donation as a payment vehicle and policy implementation, are not perceived as enforceable and therefore must be studied more by way of the “economics of voluntary contribution theory,” to develop a better volunteers’ contingent valuation survey.
Regarding costs, beyond trying to make a more accurate estimation of the opportunity costs, it must be mentioned here that an important cost, the “user costs”, was excluded from the analysis. User costs can be defined as travel cost and the opportunity value of lost time by CECSRA students. Consequently, the out-of-pocket costs of driving from students’ homes to the school can be calculated by multiplying distance traveled by appropriate mileage-cost estimates, while value of lost time can be estimated by multiplying the number of hours that they spend in the school for the salary that they are losing if they were otherwise working, or by figuring out what would be the next best use of their time if they would not be at the school, which once again can be estimated by contingent valuation technique.
Finally, for now, the school must establish a follow-up record of after-school life of the alumni to create a database to compare reality with the general assumptions number one and two. In other words, it will be several years in the future before general assumptions one and two will be empirically tested. In the meantime, these assumptions must be accepted as the necessary abstraction step to analyze this social phenomenon.
Reference list
Acemoglu D., (2002). Discussion: Social and Nonmarket
Benefits from Education in an Advance Economy. In Kodrzycki Y. (Ed.), Education
in the 21st Century: Meeting the Changing World (pp. 132-136).
Federal Reserve Bank of
Ashenfelter
O., Kruger A., (1994). Estimates of the economic return to Schooling from a new
sample of twins. The American economics
review, Vol 84 No. 5, pp. 1157-1173.
Ashenfelter
O., and Rouse C., (1998). Income, schooling, and ability: evidence from a new
sample of identical twins. The quarterly
journal of economics, Vol. 113, No. 1, pp. 253-284.
Barnett S., (1985). Benefit-Cost Analysis of the Perry Preschool Program and its Policy Implication. Educational Policy and Policy Analysis, Vol 7, No. 4, pp. 333-342
Bean
F., Chapa J., Berg R., Sowards K., (1994). Educational
and sociodemographic incorporation among Hispanic immigrants to the
Becker W. and Harris P.,
(2006). Unwelcome strangers to the new south:
Becker, G. (1962). Investment in human capital: a theoretical analysis, Economic Journal, Vol. 75, pp. 493-513
Bergel V. (1994). The many (unexpected) advantages of volunteering. The New Social Worker, pp. 22-23.
Chevalier A., Harmon C., Walker I., Zhu Y., (2004). Does education raise productivity or just reflect it?. The economic Journal, Vol. 114, Issue 499, pp. F499-F517
Ferrer A., Green D., Craig R., (2004). The effect of literacy on immigrants earning. The Journal of Human Resources, Vol. 41 Issue 2, pp. 380-410
Fuguitt D. and Wilcox S., (1999). Cost- Benefit analysis for public sector decision makers.
Greenwood D. (1997). New Development in the Intergenerational Impact of Education. In McMahon W. (Ed.), Recent Advances in Measuring the Social and Individuals Benefits of Education. International Journal of Educational Research. Vol. 27, Issue (6) pp. 503-511
Groot W., Oosterbeek H. (1994). Earning effects of different components of human capital vs. screening. Review of economics and statistic. Vol. 76, pp. 317-321
Handy F., Srinivasan N.
(2004). Valuing Volunteers: An Economic Evaluation of the Net Benefits of
Hospital Volunteers. Nonprofit and Voluntary Sector Quarterly 33(1),
pp. 28-54.
Haveman R., and Wolfe B.,
(1984). Schooling and Economic Well-Being: The Role of Non-Market Effects. Journal
of Human Resources, Vol. 19.
Pp. 377-407.
Haveman R., and Wolfe B., (2002). Social and non-market
benefits from education in an advanced economy. In Kodrzycki Y. (Ed.), Education in the 21st Century: Meeting
the Changing World (pp. 97-131). Federal Reserve Bank of
Independent Sector’s research publication. Value of Volunteer Time http://www.independentsector.org/programs/research/volunteer_time.html
Long D., Mallar C.,
McMahon W. (1997). Recent Advances in Measuring the Social and Individuals Benefits of Education. International Journal of Educational Research. Vol. 27, Issue (6) pp. 447-531
Moretti E., (2002). Estimating the
Social Return to Higher Education: Evidence from Longitudinal and Repeated
Cross-Sectional Data. National Bureau of Economic Research Working Paper #
9108, August 2002. Retrieved from: http://emlab.berkeley.edu/~moretti/socret.pdf
Moretti E., (2003).
Workers’ Education, Spillovers and Productivity: Evidence from Plant-Level
Production Functions.
Moretti E., (1998).
Human Capital Externalities in Cities. Retrieved from: http://emlab.berkeley.edu/~moretti/cities4.pdf
Murguia E., Telles E. (1996). Phenotype and Schooling among Mexican Americans. Sociology of Education. Vol. 69 (4), pp. 276-289
Owens J., (2004). A Review of the Social and
Non-Market Returns to Education. Retrieved from http://www.elwa.ac.uk/doc_bin/Research%20Reports/social_returns_report_170105.pdf
Psacharopoulos
G., Harris A., (2002). Returns to investment in education: a further update.
World Bank policy research working paper. No. 2881, September.
Rector
R. (2007). The fiscal cost of low-skill immigrants to the
Riddell C., (2004). The
Social Benefits of Education: New Evidence on an Old Question. Paper prepared
for the conference "Taking Public Universities Seriously",
Rouse S.,
Journal of extension. Volume 30 (3)
Schultz T. (1963). Economics value of education.
Spence M. (1973). Job market signaling. Quarterly Journal of Economics, Vol. 87, pp. 355-374
Schultz T., (2002). Discussion: Social and
Nonmarket Benefits from Education in an Advance Economy. In Kodrzycki Y. (Ed.),
Education in the 21st Century: Meeting the Changing World (pp.
137-142). Federal Reserve Bank of
Solow R., (1956). A Contribution to the Theory of Economic Growth. Quarterly Journal of Economics. Vol. 70, pp. 65-94.
Spiegelman R. (1968). A benefit/cost model to evaluate educational programs. Socio-economic planning sciences. Vol. 1, Issue 4, pp. 443-460
Weiss A. (1995). Human Capital vs. Signalling Explanations of wages. Journal of Economics Perspetive, Volumen 9, No. 4, pp. 133-154
Whitehead J. (2006). A Practitioner’s Prime on the Contingent Valuation Method. In Kahn J., and Alberini A. (Ed.), Handbook on Contingent Valuation (pp. 66-91). Library of Congress Cataloging-in-Publication Data
Whitehead J., Blomquist G., (2006). The Use of Contingent Valuation in Benefit-Cost Analysis. In Kahn J., and Alberini A. (Ed.), Handbook on Contingent Valuation (pp. 66-91). Library of Congress Cataloging-in-Publication Data
Wojtkiewicz
R., Donato K., (1995). Hispanic educational attainment the effects of family
background and nativity. Social Forces,
74 Issue 2, pp. 559-574
Wozniak G., (1987). Human Capital, Information,
and the Early Adoption of New Technology. Journal of Human Resources 22
(1): 101–12.
Young
and Steinberg (1995). Economics for
Nonprofit Managers.
Young, R. D. (2005). The growing population in
[1] The debate about which term (Hispanic or Latino) must be used is still
ongoing, but the U.S. Government uses Hispanic over the Latino term on all
federal forms and documents to define
people who were born in a Hispanic country or area (such as Mexico, Puerto
Rico, Cuba, Central or South America) or have a heritage tracing back to a
Hispanic country or area. Hence, in this work will be used the term Hispanic
following the U.S. Government standard.
[2] This is because all the facility costs of Our Lady of
Peace Catholic School are being paid by parents who pay fees every month, hence
parents and not the school’s administrators or owners pay for the CECSRA’s
facility and utility costs indirectly
[3] The
Local Hispanic Ministries is a subgroup of the OLP Catholic Church at
[4] McMahon’s (1997) paper entitled “Recent Advances in Measuring the Social and Individual Benefits of Education” represents possibly the most exhaustive literature review about education’s benefits. His work is comprised of five papers from others authors from which he wrote “Conceptual Framework for Measuring the Total Social and Private Benefits of Education” which is the first paper of the whole work. However, to understand his paper, a graduate level of economics knowledge is required. For this reason his work does not constitute a cornerstone in this section. Nevertheless, his contribution and effort must be mentioned and recognized.
[5] The research was used as a testimony before the Subcommittee on Immigration Committee on the Judiciary United States House of Representative May 1, 2007
[6] For example, in a society with two people, suppose initially person A has $40 and person B has $80. Assuming that some policy or program changes the situation where now person A has $55 and person B has $76 this situation would be consider efficient under the Kaldor-Hicks criterion. This change is efficient, although person B is now worse off, because person A could in theory pay person B anywhere between 1 and 15 dollars (more likely 4) to accept this alternative situation and person A still would remains better off after paying to person B (merely the possibility for compensation exits).
[7]
[8] What the
market price reflects on the consumers’ side is the level of satisfaction,
utility or benefit that the good gives to the consumer. Thus, the level of
benefit is being measured through the consumer willingness to pay for what it
is believed that if a consumer is willing to pay a high price is because the
benefit that receives form the product is high and vice versa. Once again, when
a market price does not exist for the good under evaluation the willingness to
pay must be estimated indirectly.
[9] In other words, when society decides to allocate resources to a particular program (in this case to CECSRA) means that a stream of social resources is going to be allocated into the future for which society foregoes the use of the resources for any other use in the present. Therefore, a Social Rate of Time Preference (essentially a reward for postponing consumption until a later date) must be given to society so that it will be willing to forego to receive a benefit from present consumption to receive a benefit in the future from the present investment today. Thus, this kind of interest payment reflects the rate of compensation required to offset the social preference for receiving consumption benefits in the present compared to the future.
[10] See appendix B for detailed calculations of all benefits.
[11] The salary for paid staff includes the salary of the school’s Chief Executive Officer, the technician on chair of the computers’ upkeep, occasionally mentors, and a summer babysitter; See in appendix B the detailed costs calculation table.
[12] See in appendix B the detailed transfer payment calculation table.
[13] In economics, the multiplier effect refers to the idea
that expenditure can lead to an even greater increase in income (in this case in the amount
of aggregated local income). In other words, an initial change in aggregate
demand (in this case derived from a Hispanic higher buying power) can
cause a further change in aggregate output for the economy (in this case, a
positive stimulation to the local busyness cycle).
[14] It must be taken into consideration that, before
multiplying by the discount factor, the supplies amount ($20,427.44) was
divided by 15 because supplies are fixed costs that ,as oppose to variables
cost, are not recurrent every year, instead fixed cost are consumed over the
years. Therefore, the amount of $1,361.83 is taken as supplies cost during 15
years. Thus, $1,361.83 was multiplied by the corresponding discount factor for
every year giving a total amount of $13,669.47