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Nonparametric estimation of the impact of taxes on female labor supply

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  • Anil Kumar

Abstract

Econometric models with nonlinear budgets sets frequently arise in the study of impact of taxation on labor supply. Blomquist and Newey (2002) have suggested a nonparametric method to estimate the uncompensated wage and income effects when the budget set is nonlinear. This paper extends their nonparametric estimation method to censored dependent variables. The modified method is applied to estimate female wage and income elasticities using the 1987 PSID. I find evidence of bias if the nonlinearity in the budget set is ignored. The median compensated elasticity is estimated at 1.19 (with a standard error of 0.19).

Suggested Citation

  • Anil Kumar, 2005. "Nonparametric estimation of the impact of taxes on female labor supply," Working Papers 0505, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:05-05
    Note: Published as: Kumar, Anil (2012), "Nonparametric Estimation of the Impact of Taxes on Female Labor Supply," Journal of Applied Econometrics 27 (3): 415-439.
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    Cited by:

    1. Gan, Li & Ju, Gaosheng & Zhu, Xi, 2015. "Nonparametric estimation of structural labor supply and exact welfare change under nonconvex piecewise-linear budget sets," Journal of Econometrics, Elsevier, vol. 188(2), pages 526-544.
    2. Kowalski, Amanda E., 2015. "Estimating the tradeoff between risk protection and moral hazard with a nonlinear budget set model of health insurance," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 122-135.
    3. Anil Kumar, 2016. "Lifecycle-consistent female labor supply with nonlinear taxes: evidence from unobserved effects panel data models with censoring, selection and endogeneity," Review of Economics of the Household, Springer, vol. 14(1), pages 207-229, March.
    4. Julie L. Hotchkiss & Robert E. Moore & Fernando Rios-Avila, 2017. "Family Welfare and the Cost of Unemployment," FRB Atlanta Working Paper 2017-7, Federal Reserve Bank of Atlanta.
    5. Yang, Chao & Lee, Lung-fei & Qu, Xi, 2018. "Tobit models with social interactions: Complete vs incomplete information," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 30-50.
    6. Robert McClelland & Shannon Mok, 2012. "A Review of Recent Research on Labor Supply Elasticities: Working Paper 2012-12," Working Papers 43675, Congressional Budget Office.
    7. Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
    8. 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.
    9. Liang, Che-Yuan, 2018. "Taxes and Household Labor Supply: Estimating Distributional Effects of Nonlinear Prices on Multidimensional Choice," Working Paper Series 2018:2, Uppsala University, Department of Economics.
    10. Anil Kumar & Che-Yuan Liang, 2015. "Declining female labor supply elasticities in the U.S. and implications for tax policy: evidence from panel data," Working Papers 1501, Federal Reserve Bank of Dallas.

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    Keywords

    Labor supply; Women - Employment; Wages;
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