Best Selling Books by Alan B. Krueger

This paper has three goals; first, to place U.S. job growth in international perspective by exploring cross-country differences in employment and population growth. This section finds that the U.S. has managed to absorb added workers -- especially female workers -- into employment at a greater rate than most countries. The leading explanation for this phenomenon is that the U.S. labor market has flexible wages and employment practices, whereas European labor markets are rigid. The second goal of the paper is to evaluate the labor market rigidities hypothesis. Although greater wage flexibility probably contributes to the U.S.''s comparative success in creating jobs for its population, the slow growth in employment in many European countries appears too uniform across skill groups to result from relative wage inflexibility alone. Furthermore, a great deal of labor market adjustment seems to take place at a constant real wage in the U.S. This leads to the third goal: to speculate on other explanations why the U.S. has managed to successfully absorb so many new entrants to the labor market. We conjecture that product market constraints contribute to the slow growth of employment in many countries

Abstract: timing and generosity of compensation.

Abstract: different industries. The major finding is that there is substantial.

This paper 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 suggest 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 finding appears to be a spurious result of the extremely 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 shown to result from imposing linearity and constant-coefficient assumptions on the estimates. These restrictions are often rejected by the data, and once either assumption is relaxed the initial level of education has little effect on economic growth for the average country

In this report we discuss the expected effects of reforms in education and labor market policies already implemented or suggested by the current liberalconservative government in Sweden. According to our guidelines, the main focus is on whether the reforms are suited for the purpose of increasing employment, hours worked and productivity.

Using data assembled by the Global Environmental Monitoring System we examine the reduced-form relationship between various environmental indicators and the level of a country''s per capita income. Our study covers four types of indicators: concentrations of urban air pollution; measures of the state of the oxygen regime in river basins; concentrations of fecal contaminants in river basins; and concentrations of heavy metals in river basins. We find no evidence that environmental quality deteriorates steadily with economic growth. Rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement. The turning points for the different pollutants vary, but in most cases they come before a country reaches a per capita income of $8,000

This paper re-examines the effect of the 1992 New Jersey minimum wage increase on employment in the fast-food industry. We begin by analyzing employment trends using a comprehensive new data set derived from the Bureau of Labor Statistics''s (BLS''s) ES-202 data file. Both a longitudinal sample and a repeated-cross-section sample drawn from these data indicate similar or slightly faster employment growth in New Jersey relative to eastern Pennsylvania after the rise in New Jersey''s minimum wage, consistent with the main findings of our earlier survey. We also use the ES-202 data to measure the effects of the 1996 increase in the federal minimum wage, which raised the minimum wage in Pennsylvania but not in New Jersey. We find no indication of relative employment losses in Pennsylvania. In light of these findings, we re-examine employment trends in the sample of fast-food restaurants assembled by the Employment Policies Institute (EPI) and David Neumark and William Wascher. The differences between this sample and both the BLS data and our earlier sample are attributable to a small set of restaurants owned by a single franchisee who provided the original Pennsylvania data for the 1995 EPI study. We also find that employment trends in the EPI/Neumark-Wascher sample are strikingly different for firms that reported their data on a weekly, biweekly or monthly basis, possibly because of seasonal factors. Controlling for the systematic effects of the varying reporting intervals, the combined EPI/Neumark-Wascher sample shows no difference in hours growth between New Jersey and Pennsylvania

We estimate the monetary return to attending a highly selective college using the College and Beyond (C & B) Survey linked to Detailed Earnings Records from the Social Security Administration (SSA). This paper extends earlier work by Dale and Krueger (2002) that examined the relationship between the college that students attended in 1976 and the earnings they self-reported reported in 1995 on the C & B follow-up survey. In this analysis, we use administrative earnings data to estimate the return to various measures of college selectivity for a more recent cohort of students: those who entered college in 1989. We also estimate the return to college selectivity for the 1976 cohort of students, but over a longer time horizon (from 1983 through 2007) using administrative data. We find that the return to college selectivity is sizeable for both cohorts in regression models that control for variables commonly observed by researchers, such as student high school GPA and SAT scores. However, when we adjust for unobserved student ability by controlling for the average SAT score of the colleges that students applied to, our estimates of the return to college selectivity fall substantially and are generally indistinguishable from zero. There were notable exceptions for certain subgroups. For black and Hispanic students and for students who come from less-educated families (in terms of their parents'' education), the estimates of the return to college selectivity remain large, even in models that adjust for unobserved student characteristics.

The method of instrumental variables was first used in the 1920s to estimate supply and demand elasticities, and later used to correct for measurement error in single-equation models. Recently, instrumental variables have been widely used to reduce bias from omitted variables in estimates of causal relationships such as the effect of schooling on earnings. Intuitively, instrumental variables methods use only a portion of the variability in key variables to estimate the relationships of interest; if the instruments are valid, that portion is unrelated to the omitted variables. We discuss the mechanics of instrumental variables, and the qualities that make for a good instrument, devoting particular attention to instruments that are derived from ''natural experiments.'' A key feature of the natural experiments approach is the transparency and refutability of identifying assumptions. We also discuss the use of instrumental variables in randomized experiments.

This paper examines the properties and prevalence of measurement error in longitudinal earnings data. The analysis compares Current Population Survey data to administrative Social Security payroll tax records for a sample of heads of households over two years. In contrast. to the typically assumed properties of measurement error, the results indicate that errors are serially correlated over two years and negatively correlated with true earnings (i.e., mean reverting). Moreover, reported earnings are more reliable for females than males. Overall, the ratio of the variance of the signal to the total variance is .82 for men and .92 for women. These ratios fall to .65 and .81 when the data are specified in first-differences. The estimates suggest that longitudinal earnings data may be more reliable than previously believed.

Between 1970 and 1973 priority for military service was randomly assigned to draft-age men in a series of lotteries. Many men who were at risk of being drafted managed to avoid military service by enrolling in school and obtaining an educational deferment This paper uses the draft lottery as a natural experiment to estimate the return to education and the veteran premium. Estimates are based on special extracts of the Current Population Survey for 1979and 1981-85. The results suggest that an extra year of schooling acquired in response to the lottery is associated with6.6 percent higher weekly earnings. This figure is about 10 percent higher than the OLS estimate of the return to education in this sample, which suggests there is omitted-variable bias in conventional estimates of the return to education. Our findings are robust to a variety of assumptions about the effect of veteran status on earnings.

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. 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. 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

This paper tests a central implication of the theory of equalizing differences, that workers sort into jobs with different attributes based on their preferences for those attributes. We present evidence from four new time-use data sets for the United States and France on whether workers who are more gregarious, as revealed by their behavior when they are not working, tend to be employed in jobs that involve more social interactions. In each data set we find a significant and sizable relationship between the tendency to interact with others off the job and while working. People''s descriptions of their jobs and their personalities also accord reasonably well with their time use on and off the job. Furthermore, workers in occupations that require social interactions according to the O''Net Dictionary of Occupational Titles tend to spend more of their non-working time with friends. Lastly, we find that workers report substantially higher levels of job satisfaction and net affect while at work if their jobs entail frequent interactions with coworkers and other desirable working conditions.

This chapter examines the labor supply effects of social insurance programs. We argue that this topic deserves separate treatment from the rest of the labor supply literature because individuals may be imperfectly informed as to the rules of the programs and because key parameters are likely to differ for those who are eligible for social insurance programs, such as the disabled. Furthermore, differences in social insurance programs often provide natural experiments with exogenous changes in wages or incomes that can be used to estimate labor supply responses. Finally, social insurance often affects different margins of labor supply. For example, the labor supply literature deals mostly with adjustments in the number of hours worked, whereas the incentives of social insurance programs frequently affect the decision of whether to work at all. The empirical work on unemployment insurance (UI) and workers'' compensation (WC) insurance finds that the programs tend to increase the length of time employees spend out of work. Most of the estimates of the elasticities of lost work time that incorporate both the incidence and duration of claims are close to 1.0 for unemployment insurance and between 0.5 and 1.0 for workers'' compensation. These elasticities are substantially larger than the labor supply elasticities typically found for men in studies of the effects of wages or taxes on hours of work. The evidence on disability insurance and (especially) social security retirement suggests much smaller and less conclusively established labor supply effects. Part of the explanation for this difference probably lies in the fact that UI and WC lead to short-run variation in wages with mostly a substitution effect. Our review suggest that it would be misleading to apply a universal set of labor supply elasticities to these diverse problems and populations