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The Effect of Work First Job Placements on the Distribution of Earnings: An Instrumental Variable Quantile Regression Approach
Government employment programs for low-skilled workers typically emphasize rapid placement of participants into jobs, of which many are temporary-help jobs. Using data from Detroit’s welfare-to-work program and the Chernozhukov-Hansen instrumental variables quantile regression method, we find that neither direct-hire nor temporary-help job placements significantly affect the lower tail of the earnings distribution. In the upper tail, direct-hire placements yield sizable earnings increases for over half of participants, while temporary-help placements yield significant earnings losses at higher quantiles. Our results cast doubt on the efficacy of employment programs’ exclusive focus on rapid job placement and their widespread reliance on temporary-help placements.
The Expanding Gender Earnings Gap: Evidence from the LEHD-2000 Census
The gender earnings gap is an expanding statistic over the lifecycle. We use the LEHD Census 2000 to understand the roles of industry, occupation, and establishment 14 years after leaving school. The gap for college graduates 26 to 39 years old expands by 34 log points, most occurring in the first 7 years. About 44 percent is due to disproportionate shifts by men into higher-earning positions, industries, and firms and about 56 percent to differential advances by gender within firms. Widening is greater for married individuals and for those in certain sectors. Non-college graduates experience less widening but with similar patterns.