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Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs
Author(s) -
Jonathan M. Davis,
Sara Heller
Publication year - 2019
Publication title -
the review of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.999
H-Index - 165
eISSN - 1530-9142
pISSN - 0034-6535
DOI - 10.1162/rest_a_00850
Subject(s) - leverage (statistics) , demographic economics , field (mathematics) , labour economics , youth unemployment , economics , economic growth , computer science , unemployment , machine learning , mathematics , pure mathematics
This paper reports the results of two randomized field experiments, each offering different populations of Chicago youth a supported summer job. The program consistently reduces violent-crime arrests, even after the summer, without improving employment, schooling, or other arrests; if anything, property crime increases over two to three years. Using a new machine learning method, we uncover heterogeneity in employment impacts that standard methods would miss, describe who benefits, and leverage the heterogeneity to explore mechanisms. We conclude that brief youth employment programs can generate important behavioral change, but for different outcomes, youth, and reasons than those most often considered in the literature.

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