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Discrete Choice Labor Supply: Conditional Logit vs. Random Coefficient Models

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  • Peter Haan

Abstract

Estimating labor supply functions using a discrete rather than a continuous specification has become increasingly popular in recent years. On basis of the German Socioeconomic Panel (GSOEP) I test which specification of discrete choice is the appropriate model for estimating labor supply: the standard conditional logit model or the random coefficient model. To the extent that effect heterogeneity is present in empirical models of labor supply functions, the application of a random coefficient model is necessary to avoid biased estimates. However, because of the complex structure, random coefficient models defy calculating confidence intervals of marginal effects or elasticities. Therefore, if heterogeneity is nonexistent or does not lead to a significant bias in the derived labor supply elasticities, standard discrete choice models provide the more favorable choice. Due to their simple structure, conditional logit models are far less computational intensive providing standard tools to calculate confidence intervals of elasticities. My findings suggest that effect heterogeneity is present when estimating a discrete choice model of labor supply drawing on data of the GSOEP. However, the labor supply elastisities derived form the specifications with and without random effects do not differ significantly. That leads to the conclusion that the standard discrete choice model, attractive for its simple structure, provides an adequate model choice for the analysis of labor supply functions based on the GSOEP.

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  • Peter Haan, 2004. "Discrete Choice Labor Supply: Conditional Logit vs. Random Coefficient Models," Discussion Papers of DIW Berlin 394, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp394
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    Cited by:

    1. Katharina Wrohlich, 2004. "Child Care Costs and Mothers' Labor Supply: An Empirical Analysis for Germany," Discussion Papers of DIW Berlin 412, DIW Berlin, German Institute for Economic Research.
    2. Fuest, Clemens & Heilmann, Sven & Peichl, Andreas & Schaefer, Thilo & Bergs, Christian, 2006. "Aufkommens-, Beschäftigungs- und Wachstumswirkungen einer Reform des Steuer- und Transfersystems nach dem Bürgergeld-Vorschlag von Joachim Mitschke [Revenue, employment and growth effects of the in," FiFo Reports - FiFo-Berichte 8, University of Cologne, FiFo Institute for Public Economics.
    3. Pacifico, Daniele, 2009. "A behavioral microsimulation model with discrete labour supply for Italian couples," MPRA Paper 14198, University Library of Munich, Germany.
    4. Peichl, Andreas & Fuest, Clemens & Schaefer, Thilo, 2005. "Dokumentation FiFoSiM: Integriertes Steuer-Transfer-Mikrosimulations- und CGE-Modell," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 05-3, University of Cologne, FiFo Institute for Public Economics.
    5. Jinjing Li & Denisa Maria Sologon, 2014. "A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    6. Rana Hendy & Catherine Sofer, 2010. "A Collective Model of Female Labor Supply : Do Distribution Factors Matter in the Egyptian Case ?," Post-Print halshs-00482492, HAL.
    7. Bargain, Olivier & Orsini, Kristian, 2006. "In-work policies in Europe: Killing two birds with one stone?," Labour Economics, Elsevier, vol. 13(6), pages 667-697, December.
    8. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
    9. Viktor Steiner & Katharina Wrohlich, 2004. "Household Taxation, Income Splitting and Labor Supply Incentives – A Microsimulation Study for Germany," CESifo Economic Studies, CESifo Group, vol. 50(3), pages 541-568.
    10. Fuest, Clemens & Peichl, Andreas & Schaefer, Thilo, 2005. "Aufkommens-, Beschäftigungs- und Wachstumswirkungen einer Steuerreform nach dem Vorschlag von Mitschke [Revenue, employment and growth effects of the tax reform proposal by Mitschke]," FiFo Reports - FiFo-Berichte 5, University of Cologne, FiFo Institute for Public Economics.
    11. Viktor Steiner & Katharina Wrohlich, 2004. "Work Incentives and Labor Supply Effects of the 'Mini-Jobs Reform' in Germany," Discussion Papers of DIW Berlin 438, DIW Berlin, German Institute for Economic Research.
    12. Rana Hendy & Chahir Zaki, 2013. "Assessing the Effects of Trade Liberalization on Wage Inequalities in Egypt: A Microsimulation Analysis," The International Trade Journal, Taylor & Francis Journals, vol. 27(1), pages 63-104, March.
    13. Rana HENDY & Chahir ZAKI, 2009. "Rethinking the Redistribution Effects of Trade Liberalization in Egypt : A Microsimulation Analysis," Working Papers 2009-23, Center for Research in Economics and Statistics.
    14. Peter Haan & Viktor Steiner, 2004. "Distributional and Fiscal Effects of the German Tax Reform 2000: A Behavioral Microsimulation Analysis," Discussion Papers of DIW Berlin 419, DIW Berlin, German Institute for Economic Research.
    15. Peter Haan & Viktor Steiner, 2005. "Labor Market Effects of the German Tax Reform 2000," Discussion Papers of DIW Berlin 472, DIW Berlin, German Institute for Economic Research.
    16. Mideros Andrés & O’Donoghue Cathal, 2015. "The Effect of Unconditional Cash Transfers on Adult Labour Supply: A Unitary Discrete Choice Model for the Case of Ecuador," Basic Income Studies, De Gruyter, vol. 10(2), pages 225-255, December.
    17. Melanie Arntz & Stefan Boeters & Nicole Gürtzgen & Stefanie Schubert, 2006. "Analysing Welfare Reform in a Microsimulation-AGE Model," Computing in Economics and Finance 2006 109, Society for Computational Economics.
    18. Viktor Steiner & Katharina Wrohlich, 2005. "Work Incentives and Labor Supply Effects of the ‘Mini-Jobs Reform’ in Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 91-116, March.

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    More about this item

    Keywords

    Labor supply; Discrete choice models; Specification test;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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