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The estimation of utility-consistent labor supply models by means of simulated scores

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  • Hans G. Bloemen

    (Department of Economics, Free University Amsterdam, Amsterdam, The Netherlands)

  • Arie Kapteyn

    (Rand Corporation, Santa Monica (California), USA)

Abstract

We consider a utility-consistent static labor supply model with flexible preferences and a nonlinear and possibly non-convex budget set. Stochastic error terms are introduced to represent optimization and reporting errors, stochastic preferences, and heterogeneity in wages. Coherency conditions on the parameters and the support of error distributions are imposed for all observations. The complexity of the model makes it impossible to write down the probability of participation. Hence we use simulation techniques in the estimation. We compare our approach with various simpler alternatives proposed in the literature. Both in Monte Carlo experiments and for real data the various estimation methods yield very different results. Copyright © 2008 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 23 (2008)
Issue (Month): 4 ()
Pages: 395-422

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Handle: RePEc:jae:japmet:v:23:y:2008:i:4:p:395-422

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Citations

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Cited by:
  1. John Dagsvik & Zhiyang Jia & Kristian Orsini & Guy Camp, 2011. "Subsidies on low-skilled workers’ social security contributions: the case of Belgium," Empirical Economics, Springer, vol. 40(3), pages 779-806, May.
  2. Nicole Bosch & Miriam Gielen & Egbert Jongen & Mauro Mastrogiacomo (DNB & CPB), 2013. "A structural analysis of labour supply elasticities in the Netherlands," CPB Discussion Paper 235, CPB Netherlands Bureau for Economic Policy Analysis.
  3. Shun-ichiro Bessho & Masayoshi Hayashi, 2011. "Estimating the Social Marginal Cost of Public Funds: A Micro-data Approach," CIRJE F-Series CIRJE-F-817, CIRJE, Faculty of Economics, University of Tokyo.
  4. John K. Dagsvik & Zhiyang Jia, 2012. "Labor supply as a discrete choice among latent jobs," Discussion Papers 709, Research Department of Statistics Norway.
  5. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.
  6. John K. Dagsvik & Zhiyang Jia, 2008. "An Alternative Approach to Labor Supply Modeling. Emphasizing Job-type as Choice Variable," Discussion Papers 550, Research Department of Statistics Norway.
  7. Bloemen, H.G., 1992. "Job Search Theory, Labour Supply and Unemployment Duration," Papers 9250, Tilburg - Center for Economic Research.
  8. Loeffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2014. "Structural Labor Supply Models and Wage Exogeneity," IZA Discussion Papers 8281, Institute for the Study of Labor (IZA).
  9. John K. Dagsvik & Zhiyang Jia & Tom Kornstad & Thor O. Thoresen, 2014. "Theoretical And Practical Arguments For Modeling Labor Supply As A Choice Among Latent Jobs," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 134-151, 02.
  10. Thor O. Thoresen & Trine E. Vattø, 2013. "Validation of structural labor supply model by the elasticity of taxable income," Discussion Papers 738, Research Department of Statistics Norway.
  11. repec:ese:emodwp:em5-10 is not listed on IDEAS
  12. repec:dgr:uvatin:2010010 is not listed on IDEAS
  13. Hans G. Bloemen, 2010. "Income Taxation in an Empirical Collective Household Labour Supply Model with Discrete Hours," Tinbergen Institute Discussion Papers 10-010/3, Tinbergen Institute.

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