This paper studies gender spillovers in career advancement using 11 years of employer-employee matched data on the population of white-collar workers at over 4,000 private-sector establishments in Norway. Our data include unusually detailed job information for each worker, which enables us to...

We examine the effects of temporary help service employment on later earnings and employment for individuals participating in three federal programs providing supportive services to those facing employment difficulties. The programs include Temporary Assistance for Needy Families, whose...

In this paper, we exploit plant-level data for U.S. manufacturing for the 1970s and 1980s to explore the connections between changes in technology and the structure of employment and wages. We focus on the nonproduction labor share (measured alternatively by employment and wages) as the variable...

We report new evidence on the existence of sex discrimination in wages and whether competitive market forces act to reduce or eliminate discrimination. Specifically, we use plant- and firm-level data to examine the relationships between profitability, growth and ownership changes, product market...

We examine the possible sources of the larger racial and ethnic wage gaps for men than for women in the U.S. Specifically, using a newly created employer-employee matched data set containing workers in essentially all occupations, industries, and regions, we examine whether these wage...

We assemble a new matched employer-employee data set covering essentially all industries and occupations across all regions of the U.S. We use this data set to re-examine the question of the relative contributions to the overall sex gap in wages of sex segregation vs. wage differences by sex...

By exploiting establishment-level data, this paper sheds new light on the source of the changes in the structure of production, wages, and employment that have occurred over the last several decades. Based on theoretical work by Caselli (1999) and Kremer and Maskin (1996), we focus on...

We use a unique new data set that combines individual worker data with data on workers' employers to estimate plant-level production functions and wage equations, and thus to compare relative marginal products and relative wages for various groups of workers. The data and empirical framework...