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Institution

Institute for the Study of Labor

NonprofitBonn, Germany
About: Institute for the Study of Labor is a nonprofit organization based out in Bonn, Germany. It is known for research contribution in the topics: Wage & Unemployment. The organization has 2039 authors who have published 13475 publications receiving 439376 citations.
Topics: Wage, Unemployment, Earnings, Population, Productivity


Papers
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TL;DR: This article investigated the impact of U.S. business cycle conditions on population well-being since the 1970s and found that aggregate employment and hours worked in this period are strongly procyclical, particularly for low-skilled workers, while aggregate real wages are only mildlyprocyclical.
Abstract: Periods of rapid U.S. economic growth during the 1960s and 1970s coincided with improved living standards for many segments of the population, including the disadvantaged as well as the affluent, suggesting to some that a rising economic tide lifts all demographic boats. This paper investigates the impact of U.S. business cycle conditions on population well-being since the 1970s. Aggregate employment and hours worked in this period are strongly procyclical, particularly for low-skilled workers, while aggregate real wages are only mildly procyclical. Similar patterns appear in a balanced panel of PSID respondents that removes the effects of changing workforce composition, though the magnitude of the responsiveness of real wages to unemployment appears to have declined in the last 20 years. Economic upturns increase the likelihood that workers acquire jobs in sectors with positively sloped career ladders. Spending by state and local governments in all categories rises during economic expansions, including welfare spending, for which needs vary countercyclically. Since the disadvantaged are likely to benefit disproportionately from such government spending, it follows that the public finances also contribute to conveying the benefits of a strong economy to diverse population groups.

116 citations

Posted Content
TL;DR: The authors presented a preliminary classification of New Zealand into local labor market areas using area unit travel-to-work data from the 1991 Census of Population and Dwellings and drew on the regionalization method of Coombes, et al.
Abstract: To date, analysis of the spatial dimension of New Zealand labor markets has been limited to administrative, rather than appropriately-defined functional, geographic units. This paper presents a preliminary classification of New Zealand into local labor market areas using area unit travel-to-work data from the 1991 Census of Population and Dwellings and drawing on the regionalization method of Coombes, et al. (1986). After assessing the robustness of the preferred set of local labor market areas, the paper provides some illustrative labor market statistics for these zones. Migration between labor market areas is most likely to be accompanied by changes in job, whereas moves within a labor market are largely assumed to be non-work motivated. As a result, this study provides a more appropriate spatial unit of analysis than any administrative classification for studying migration at a subnational level.

115 citations

Posted Content
TL;DR: In this article, the authors analyzed the joint determination of wives' earnings and labor force participation over the life cycle given the interruptions in wives' work careers, and compared the age-earnings profiles of persons who drop out of the labor force with those who do not during the pre- and post-interruption period.
Abstract: The paper analyzes the joint determination of wives' earnings and labor force participation over the life cycle given the interruptions in wives' work careers. The interruptions affect the profitability of the investment in human capital, which in turn determines earnings. The earnings prospects feed back into the participation decision, namely, the decision whether and for how long to drop out of the labor force. The formal analysis compares the age-earnings profiles of persons who drop out of the labor force with those who do not during the pre- and post-interruption period. The comparison is carried out where interruptions are assumed to be exogenous and when they are endogenous. The effect of productivity at home, the initial stock of human capital and its rental value on the length of the interruption is investigated.

115 citations

ReportDOI
TL;DR: In this article, 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) is estimated.
Abstract: 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.

115 citations

Posted Content
TL;DR: This paper examined evidence on private sector union wage gap in the U.S. and found that misclassification of union status causes attenuation in union gap measures, leading to higher union gap estimates.
Abstract: I examine evidence on private sector union wage gaps in the U.S. The consensus opinion among labor economists of an average union premium of roughly 15 percent is called into question. Two forms of measurement error create a downward bias in standard wage gap estimates. Match bias results from Census earnings imputation procedures that do not include union status as a match criterion. Downward bias is roughly equal to the proportion of workers with imputed earnings, currently about 30 percent. Misclassification of union status causes additional attenuation in union gap measures. This bias has worsened as private sector density has declined, since an increasing proportion of workers designated as union are instead nonunion workers. Corrections for misclassification and match bias lead to estimated union gaps substantially higher than standard estimates, but with less of a downward trend since the mid-1980s. Private sector union gaps corrected for these biases are estimated from the CPS for 1973-2001. The uncorrected estimate for 2001 is .13 log points. Correction for match bias increases the gap to .18 log points; further correction for misclassification bias, based on an assumed 2 percent error rate, increases the gap to .24. Reexamination of the skill-upgrading hypothesis leads to the conclusion that higher union gap estimates are plausible. The conventional wisdom of a 15 percent union wage premium warrants reexamination.

115 citations


Authors

Showing all 2136 results

NameH-indexPapersCitations
Michael Marmot1931147170338
James J. Heckman175766156816
Anders Björklund16576984268
Jean Tirole134439103279
Ernst Fehr131486108454
Matthew Jones125116196909
Alan B. Krueger11740275442
Eric A. Hanushek10944959705
David Card10743355797
M. Hashem Pesaran10236188826
Richard B. Freeman10086046932
Richard Blundell9348761730
John Haltiwanger9139338803
John A. List9158336962
Joshua D. Angrist8930459505
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
202283
2021146
2020259
2019191
2018229