Publication detail

Student Employment and Education: A Meta-Analysis

Author(s): doc. PhDr. Tomáš Havránek Ph.D., Kateřina Kroupová, Zuzana Iršová
Type: IES Working Papers
Year: 2021
Number: 28
ISSN / ISBN:
Published in: IES Working Papers 28/2021
Publishing place: Prague
Keywords: Student employment, educational outcomes, meta-analysis, publication bias, Bayesian model averaging
JEL codes: C83, I21, J22
Suggested Citation: Kroupova K., Havranek T. and Irsova Z. (2021): "Student Employment and Education: A Meta- Analysis" IES Working Papers 28/2021. IES FSV. Charles University.
Abstract: Educational outcomes have many determinants, but one that most young people can readily control is choosing whether to work while in school. Sixty-nine studies have estimated the effect, but results vary from large negative to positive estimates. We show that the results are systematically driven by context, publication bias, and treatment of endogeneity. Studies ignoring endogeneity suffer from an upward bias, which is almost fully compensated by publication selection in favor of negative estimates. Net of the biases, the literature suggests a negative but economically inconsequential mean effect. The effect is more negative for high-intensity employment and educational outcomes measured as decisions to dropout, but it is positive in Germany. To derive these results we collect 861 previously reported estimates together with 32 variables reflecting estimation context, use recently developed nonlinear techniques to correct for publication bias, and employ Bayesian and frequentist model averaging to assign a pattern to the heterogeneity in the literature.
Downloadable: wp_2021_28_kroupova, havranek, irsova

Partners

Deloitte

Sponsors

CRIF
McKinsey
Patria Finance