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Nonparametric Structural Estimation of Labor Supply in the Presence of Censoring

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  • Liang, Che-Yuan

    ()
    (Department of Economics)

Abstract

This paper extends the nonparametric method to estimate labor supply developed by Blomquist and Newey (2002) to handle cases in which there are individuals who do not work. The method is then applied to married women in Sweden from 1973 to 1999. For 1999, I find an aggregate uncompensated wage elasticity around 1 and an aggregate income elasticity around -0.05. Furthermore, marginal tax rates are beyondthe net government revenue maximizing rates. Despite large labor supply effects, the dramatic evolution of the tax system can only explain a small share of the 58 percent rise in female labor supply during this period.

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Bibliographic Info

Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 2009:8.

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Length: 48 pages
Date of creation: 18 May 2009
Date of revision:
Handle: RePEc:hhs:uunewp:2009_008

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Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
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Web page: http://www.nek.uu.se/
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Keywords: female labor supply; nonparametric estimation; nonlinear budget sets; tax revenues;

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References

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  3. Liang, Che-Yuan, 2009. "Nonparametric Structural Estimation of Labor Supply in the Presence of Censoring," Working Paper Series 2009:8, Uppsala University, Department of Economics.
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Citations

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Cited by:
  1. Liang, Che-Yuan, 2014. "Distribution-Free Structural Estimation with Nonlinear Budget Sets," Working Paper Series, Center for Fiscal Studies 2014:4, Uppsala University, Department of Economics.
  2. Pirttälä, Jukka & Selin, Håkan, 2011. "Tax Policy and Employment: How Does the Swedish System Fare?," Working Paper Series, Center for Fiscal Studies 2011:2, Uppsala University, Department of Economics.
  3. Liang, Che-Yuan, 2012. "Nonparametric structural estimation of labor supply in the presence of censoring," Journal of Public Economics, Elsevier, vol. 96(1), pages 89-103.

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