cover image: Identification of Marginal Treatment Effects using Subjective Expectations

20.500.12592/05qg13v

Identification of Marginal Treatment Effects using Subjective Expectations

4 Apr 2024

We develop a method to identify the individual latent propensity to select into treatment and marginal treatment effects. Identification is achieved with survey data on individuals' subjective expectations of their treatment propensity and of their treatment-contingent outcomes. We use the method to study how child birth affects female labor supply in Denmark. We find limited latent heterogeneity and large short-term effects that vanish by 18 months after birth. We support the validity of the identifying assumptions in this context by using administrative data to show that the average treatment effect on the treated computed using our method and traditional event-study methods are nearly equal. Finally, we study the effects of counterfactual changes to child care cost and quality on female labor supply.
children data collection econometrics public economics estimation methods labor economics economic fluctuations and growth labor studies labor supply and demand demography and aging

Authors

Joseph S. Briggs, Andrew Caplin, Søren Leth-Petersen, Christopher Tonetti

Acknowledgements & Disclosure
Caplin thanks the Nomis and the Sloan Foundation for support. Leth-Petersen is grateful for financial support from the Independent Research Fund Denmark and CEBI. Center for Economic Behavior and Inequality (CEBI) is a center of excellence at the University of Copenhagen financed by grant DNRF134 from the Danish National Research Foundation. We have benefited from discussions with Julie Cullen, Gordon Dahl, Rebecca Diamond, Matthew Gentzkow, Lihua Lei, Magne Mogstad, David Ritzwoller, Brad Ross, and Alex Torgovitsky. We thank seminar participants at many universities, conferences, and research centers for useful comments. The analysis and conclusions set forth here are those of the authors and do not necessarily indicate a concurrence by the Goldman Sachs Group, Inc., nor do they necessarily represent the views of the National Bureau of Economic Research.
DOI
https://doi.org/10.3386/w32309
Published in
United States of America

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