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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: In this paper, the authors present empirical evidence on the role that policy and institutional settings in both product and labour market play for productivity and firm dynamics and exploit a new firm-level database for ten OECD countries and industry-level data for a broader set of countries, together with a set of indicators of regulation and institutional setting in product and labor markets.
Abstract: This paper presents empirical evidence on the role that policy and institutional settings in both product and labour market play for productivity and firm dynamics. It exploits a new firm-level database for ten OECD countries and industry-level data for a broader set of countries, together with a set of indicators of regulation and institutional settings in product and labour markets. Aggregate productivity patterns are largely the result of within-firm performance. But, the contribution from firm dynamic processes should not be overlooked, most notably in high-tech industries where new firms tend to play an important role. Industry productivity performance is negatively affected by strict product market regulations, especially if there is a significant technology gap with the technology leader. Likewise, high hiring and firing costs seem to hinder productivity, especially when these costs are not offset by lower wages and/or more internal training. Moreover, burdensome regulations ...

401 citations

Posted Content
TL;DR: In this paper, a simple methodology for decomposing differences in the first moment into characteristics and coefficients effects is proposed, which provides a way to apply the Blinder-Oaxaca decomposition to a non-linear function for both aggregate and detailed decompositions.
Abstract: We propose a simple methodology for decomposing differences in the first moment into characteristics and coefficients effects. This methodology provides a way to apply the Blinder-Oaxaca decomposition to a non-linear function for both aggregate and detailed decompositions.

401 citations

Posted ContentDOI
TL;DR: In this article, the structural properties of friendship networks affect individual outcomes in education and the authors developed a model that shows that the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure.
Abstract: This paper studies whether structural properties of friendship networks affect individual outcomes in education. We first develop a model that shows that, at the Nash equilibrium, the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure. This measure takes into account both direct and indirect friends of each individual but puts less weight to her distant friends. We then bring the model to the data by using a very detailed dataset of adolescent friendship networks. We show that, after controlling for observable individual characteristics and unobservable network specific factors, the individual's position in a network (as measured by her Katz-Bonacich centrality) is a key determinant of her level of activity. A standard deviation increase in the Katz-Bonacich centrality increases the pupil school performance by more than 7 percent of one standard deviation.

400 citations

Posted Content
TL;DR: The authors investigated the impact of international migration on child health outcomes in rural Mexico using a nationally representative demographic survey and found that children in migrant households are found to have lower rates of infant mortality and higher birthweights.
Abstract: This paper investigates the impact of international migration on child health outcomes in rural Mexico using a nationally representative demographic survey. Historic migration networks are employed as instruments for current household migration to the United States in order to correct for the possible endogeneity of migrant status. Children in migrant households are found to have lower rates of infant mortality and higher birthweights. We study the channels through which migration may affect health outcomes and find evidence that migration raises health knowledge in addition to the direct effect on wealth. However we also find that preventative health care, such as breastfeeding and vaccinations, is less likely for children in migrant households. These results provide a broader and more nuanced view of the health consequences of migration than is offered by the existing literature.

395 citations

Posted Content
TL;DR: This article found that both pre- and post-birth factors contribute to intergenerational transmissions, and that pre-birthing factors are more important for mother's education and less important for father's income.
Abstract: We use unique Swedish data to estimate intergenerational associations between adoptees and their biological and adoptive parents. We argue that the impact from biological parents captures broad pre-birth factors, including genes and prenatal environment, and the impact from adoptive parents represents broad post-birth factors, such as childhood environment, for the intergenerational association in education and income. We find that both pre- and post-birth factors contribute to intergenerational transmissions, and that pre-birth 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 post-birth environment and pre-birth factors.

394 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