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Education for Growth: Why and for Whom?

Journal of Economic Literature 2001 39(4), 1101-1136
This paper summarizes and tries to reconcile evidence from the microeconometric and empirical macro growth literatures on the effect of schooling on income and GDP growth. Much microeconometric evidence suggests that education is an important causal determinant of income for individuals within countries. At a national level, however, recent studies have found that increases in educational attainment are unrelated to economic growth. This discrepancy appears to be a result of the high rate of measurement error in first-differenced cross-country education data. After 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. Another finding of the macro growth literature—that economic growth depends positively on the initial stock of human capital—is not robust when the assumption of a constant-coefficient model is relaxed.

The Causal Effect of Parents' Schooling on Children's Schooling: A Comparison of Estimation Methods

Journal of Economic Literature 2011 49(3), 615-651
We review the empirical literature that estimates the causal effect of parent's schooling on child's schooling, and conclude that estimates differ across studies. We then consider three explanations for why this is: (a) idiosyncratic differences in data sets, (b) differences in remaining biases between different identification strategies, and (c) differences across identification strategies in their ability to make out-of-sample predictions. We conclude that discrepancies in past studies can be explained by violations of identifying assumptions. Our reading of past evidence, together with an application to Swedish register data, suggests that intergenerational schooling associations are largely driven by selection. Parental schooling constitutes a large part of the parental nurture effect, but as a whole does not play a large role.

The Origins of Intergenerational Associations: Lessons from Swedish Adoption Data*

Quarterly Journal of Economics 2006 121(3), 999-1028 open access
We use unique Swedish data with information on adopted children's biological and adoptive parents to estimate intergenerational mobility associations in earnings and education. We argue that the impact from biological parents captures broad prebirth factors, including genes and prenatal environment, and the impact from adoptive parents represents broad postbirth factors, such as childhood environment. We find that both pre- and postbirth factors contribute to intergenerational earnings and education transmissions, and that prebirth factors are more important for mother's education and less important for father's income. We also find some evidence for a positive interaction effect between postbirth environment and prebirth factors.

The Effect of Extra Funding for Disadvantaged Pupils on Achievement

The Review of Economics and Statistics 2007 89(4), 721-736 open access
This paper evaluates the effects of two subsidies targeted at schools with large proportions of disadvantaged pupils. The first scheme gives primary schools with at least 70% disadvantaged minority pupils extra funding for personnel. The second scheme gives primary schools with at least 70% pupils from any disadvantaged group extra funding for computers and software. The cutoffs provide a regression discontinuity design that we exploit in a local difference-in-differences framework. For both subsidies we find negative point estimates, which are for some outcomes significantly different from 0. Extra funding for computers and software seems especially detrimental for girls' achievement. The negative effects of extra funding for computers and software are consistent with results from other recent studies casting doubt on the efficacy of computers in schools.

Dynastic Human Capital, Inequality, and Intergenerational Mobility

American Economic Review 2021 111(5), 1523-1548 open access
We study the importance of the extended family – the dynasty – for the persistence in inequality across generations. We use data including the entire Swedish population, linking four generations. This data structure enables us to identify parents' siblings and cousins, their spouses, and the spouses' siblings. Using various human capital measures, we show that traditional parent-child estimates of intergenerational persistence miss almost one-third of the persistence found at the dynasty level. To assess the importance of genetic links, we use a sample of adoptees. We then find that the importance of the extended family relative to the parents increases.