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What time use surveys can (and cannot) tell us about labor supply

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  • Cheng Chou
  • Ruoyao Shi

Abstract

The American Time Use Survey (ATUS) accurately measures hours worked on a single day. We propose several estimators of elasticities of weekly labor supply in a linear regression model, despite certain impossibility results due to the time specific feature of the ATUS. We recommend the impute estimator, a simple modification of the standard two stage least squares estimator, that imputes the dependent variable using daily subsamples, based on our careful investigation of asymptotic and finite sample properties of the estimators under the potential outcome framework. We apply the impute estimator to the ATUS and find substantially different elasticity estimates from the Current Population Survey, especially for married women.

Suggested Citation

  • Cheng Chou & Ruoyao Shi, 2021. "What time use surveys can (and cannot) tell us about labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 917-937, November.
    • Handle: RePEc:wly:japmet:v:36:y:2021:i:7:p:917-937
    DOI: 10.1002/jae.2848
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    References listed on IDEAS

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    1. Thomas Le Barbanchon & Johannes F. Schmieder & Andrea Weber, 2024. "Job Search, Unemployment Insurance, and Active Labor Market Policies," NBER Working Papers 32720, National Bureau of Economic Research, Inc.

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