In this paper we take a “market-based” approach to examine whether increased school expenditures
are valued by potential residents and whether the current level of public school provision is inefficient. We
do so by employing an instrumental variables strategy to estimate the effect of state education aid on
residential property values. We find evidence that, on average, additional state aid is valued by potential
residents and that school districts appear to spend efficiently or, if anything, underspend. We also find that
school districts spend less efficiently in areas in which they face little or no competition from other public
schools, in large districts, and in areas in which residents are poor or less educated. One interpretation of
these results is that increased competition has the potential to increase school efficiency in some areas.
education
One of the best documented relationships in economics is the link between education and
income: higher educated people have higher incomes. Advocates argue that education provides
skills, or human capital, that raises an individual‘s productivity. Critics argue that the documented
relationship is not causal. Education does not generate higher incomes; instead, individuals with
higher ability receive more education and more income. This essay reviews the evidence on the
relationship between education and income. We focus on recent studies that have attempted to
determine the casual effect of education on income by either comparing income and education
differences within families or using exogenous determinants of schooling in what are sometimes
called “natural experiments.” In addition, we assess the potential for education to reduce income
disparities by presenting evidence on the return to education for people of differing family
backgrounds and measured ability.
The results of all these studies are surprisingly consistent: they indicate that the return to
schooling is not caused by an omitted correlation between ability and schooling. Moreover, we find
no evidence that the return to schooling differs significantly by family background or by the
measured ability of the student.
This paper tries to reconcile evidence on the effect of schooling on income and on GDP growth
from the microeconometric and empirical macro growth literatures. Much microeconometric
evidence suggests that education is an important causal determinant of income for individuals
within countries as diverse as Sweden and the United States. At a national level, however, recent
studies have found that increases in educational attainment are unrelated to economic growth.
This finding is shown to be a spurious result of the extremely high rate of measurement error in
first-differenced cross-country education data. Afier accounting for measurement error, the
effect of changes in educational attainment on income growth in cross-country data is at least as
great as microeconometric estimates of the rate of return to years of schooling. We also
investigate another finding of the macro growth literature -- that economic growth depends
positively on the initial stock of human capital. We find that the effect of the initial level of
education on growth is sensitive to the econometric assumptions that are imposed on the data
(e.g., constant-coefficient assumption), as well as to the other covariates included in the model.
Perhaps most importantly, we find that the initial level of education does not appear to have a
significant effect on economic growth among OECD countries. The conclusion comments on
policy implications for Sweden based on the human capital literature.
In this paper we use data on brothers, and fathers and sons, to estimate the economic
returns to schooling. Our goal is to determine whether the correlation between earnings and
schooling is due, in part, to the correlation between family backgrounds and schooling. The
basic idea is to contrast the differences between the schooling of brothers, and fathers and sons,
with the differences in their respective earnings. Since individuals linked by family affiliation
are more likely to have similar innate ability and family backgrounds than randomly selected
individuals our procedure provides a straightforward control for unobserved family attributes.
Our empirical results indicate that in the sample of brothers the ordinary least squares
estimates of the return to schooling may be biased upward by some 25% by the omission of
family background factors. Adjustments for measurement error, however, imply that the
intrafamily estimate of the returns to schooling is biased downward by about 25% also, so that
the ordinary least squares estimate suffers from very little overall bias. Using data on fathers
and sons introduces some ambiguity into these findings, as commonly used specification tests
reject our simplest models of the role of family background in the determination of earnings.
Between 1960 and 1980 the gap in earnings between black and white
males narrowed by 15 percent. A detailed analysis of 1960, 1970, and 1980
Census data indicates that increases in the relative return to education
were largely responsible for black workers’ relative earnings gains. One
explanation for these higher returns is that they reflect the market
valuation of higher-quality schooling available to later cohorts of black
students. To investigate the role of school quality in the convergence of
black and white earnings, we have assembled data on three aspects of school
quality -- pupil/teacher ratios, annual teacher pay, and term length -- for
black and white schools in l8 segregated states from 1915 to 1966. The
school quality data are then linked to estimated rates of return to
education for men from different cohorts and states. Improvements in the
relative quality of black schools explain roughly 20 percent of the
narrowing of the black-white earnings gap in this period.
Families originally living in public housing were assigned housing vouchers by lottery,
encouraging moves to neighborhoods with lower poverty rates. Although we had hypothesized
that reading and math test scores would be higher among children in families offered vouchers
(with larger effects among younger children), the results show no significant effects on test
scores for any age group among over 5000 children ages 6 to 20 in 2002 who were assessed four
to seven years after randomization. Program impacts on school environments were considerably
smaller than impacts on neighborhoods, suggesting that achievement-related benefits from
improved neighborhood environments are small.
The primary goal of this paper is to investigate whether participation in terrorist activity
can be linked to ignorance (measured through schooling) or to economic desperation
(measured through poverty on the individual’s level and various economic indicators on
the societal level) using newly culled data of Hamas and Palestinian Islamic Jihad (PIJ)
terrorist cells. This paper performs a statistical analysis of the determinants of
participation in Hamas and PIJ terrorist activities in Israel from the late 1980’s to the
present, as well as a time series analysis of terrorist attacks in Israel with relation to
economic conditions. The resulting evidence on the individual level suggests that both
higher standards of living and higher levels of education are positively associated with
participation in Hamas or PIJ. With regard to the societal economic condition, no
sustainable link between terrorism and poverty and education could be found, which I
interpret to mean that there is either no link or a very weak indirect link. Special attention
is given to the suicide bomber phenomenon, and the analysis of the determinants of
becoming a suicide bomber provides additional intriguing findings. In contrast with the
“classic” characteristics of a suicidal individual (Hamermesh and Soss, 1974), suicide
bombers tend to be of higher economic status and higher educational attainment than
their counterparts in the population. Suicide bombers, however, come from lower socioeconomic
groups when compared to other, non-suicidal, terrorists.
ln CPS data, the 20% of the civilian labor force with 1-3 years of college earn 15% more
than high school graduates. We use data from the National Longitudinal Study of the High School
Class of I972 which includes postsecondary transcript data and the NLS Y to study the distinct returns
to 2-year and 4-year college attendance and degree completion. Controlling for family income and
measured ability, wage differentials for both 2-year and 4-year college credits are positive and
similar. We find that the average 2-year and 4-year college student earned roughly 5% more than
similar high school graduates for every year of credits completed. Second, average bachelor and
associate degree recipients did not earn significantly more than those with similar numbers of college
credits and no degree, suggesting that the credentialling effects of these degree are small. We report
similar results from the NLSY and the CPS.
In addition to controlling for family background and ability measures, we pursue two IV
strategies to identify measurement error and selection bias. First, we use self-reported education as
an instrument for transcript reported education. Second, we use public tuition and distance from the
closest 2-year and 4-year colleges as instruments, which we take as orthogonal to schooling
measurement error and other unobserved characteristics of college students. Although research over
the past decade has been preoccupied with selection bias, the two biases roughly cancel each other,
suggesting that the results above are, if anything, understated.
This paper uses a new survey to contrast the wages of genetically
identical twins with different schooling levels. Multiple measurements of
schooling levels were also collected to assess the effect of reporting
error on the estimated economic returns to schooling. The data indicate
that omitted ability variables do not bias the estimated return to
schooling upward, but that measurement error does bias it downward.
Adjustment for measurement error indicates that an additional year of
schooling increases wages by 12-l6t, a higher estimate of the economic
returns to schooling than has been previously found.
This paper quantities the extent to which the rise in the measured
return to education between I979 and 2000 is reflecting a change in the
causal effect of education on labor market eamings. The conceptual issues
are formalized in a two-factor model of ability. schooling and eamings that
allows heterogeneity in absolute and comparative advantage across the
population. ln particular, the framework implies that a rise in the true return
to education will increase the degree of convexity of the relationship
between eamings and years of education for a fixed cohort of individuals.
Permanent differences in the levels of the eamings-schooling relationship
across cohorts will arise if the mapping between schooling and ability differs
across cohorts. These implications of the two-factor model allow the
identification of changes in the causal effect of education over time and
across cohorts.