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Nonparametric Slope Estimators for Fixed-Effect Panel Data

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  • Kusum Mundra

    (San Diego State University)

Abstract

In panel data the interest is often in slope estimation while taking account of the unobserved cross sectional heterogeneity. This paper proposes two nonparametric slope estimation where the unobserved effect is treated as fixed across cross section. The first estimator uses first-differencing transformation and the second estimator uses the mean deviation transformation. The asymptotic properties of the two estimators are established and the finite sample Monte Carlo properties of the two estimators are investigated allowing for systematic dependence between the cross-sectional effect and the independent variable. Simulation results suggest that the new nonparametric estimators perform better than the parametric counterparts. We also investigate the finite sample properties of the parametric within and first differencing estimators. A very common practice in estimating earning function is to assume earnings to be quadratic in age and tenure, but that might be misspecified. In this paper we estimate nonparametric slope of age and tenure on earnings using NLSY data and compare it to the parametric (quadratic) effect.

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File URL: http://128.118.178.162/eps/em/papers/0502/0502008.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0502008.

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Length: 38 pages
Date of creation: 09 Feb 2005
Date of revision:
Handle: RePEc:wpa:wuwpem:0502008

Note: Type of Document - pdf; pages: 38
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Web page: http://128.118.178.162

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Keywords: Nonparametric; Fixed-effect; Kernel; Monte carlo;

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  1. Zongwu Cai & Jianqing Fan & Qiwei Yao, 2000. "Functional-coefficient regression models for nonlinear time series," LSE Research Online Documents on Economics 6314, London School of Economics and Political Science, LSE Library.
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  7. Francisco L. Rivera-Batiz, 1999. "Undocumented workers in the labor market: An analysis of the earnings of legal and illegal Mexican immigrants in the United States," Journal of Population Economics, Springer, vol. 12(1), pages 91-116.
  8. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
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Cited by:
  1. Su, Liangjun & Ullah, Aman, 2006. "Profile likelihood estimation of partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 92(1), pages 75-81, July.

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