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Nonparametric Slope Estimators for Fixed-Effect Panel Data

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Author Info
Kusum Mundra (San Diego State University)

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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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Publisher 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
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Handle: RePEc:wpa:wuwpem:0502008

Note: Type of Document - pdf; pages: 38
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Web page: http://129.3.20.41

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

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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References listed on IDEAS
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  1. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September. [Downloadable!] (restricted)
  2. Angrist, Joshua D & Krueger, Alan B, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 979-1014, November. [Downloadable!] (restricted)
    Other versions:
  3. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
  5. Li, Qi & Stengos, Thanasis, 1996. "Semiparametric estimation of partially linear panel data models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 389-397. [Downloadable!] (restricted)
  6. Nerlove, Marc, 1971. "A Note on Error Components Models," Econometrica, Econometric Society, vol. 39(2), pages 383-96, March. [Downloadable!] (restricted)
  7. Badi H. Baltagi & Dong Li, . "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Working Papers 0109, East Carolina University, Department of Economics. [Downloadable!]
  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. [Downloadable!] (restricted)
  9. Robinson, P M, 1986. "Nonparametric Methods in Specification," Economic Journal, Royal Economic Society, vol. 96(380a), pages 134-41, Supplemen. [Downloadable!] (restricted)
  10. Marno Verbeek, 1995. "Alternative transformations to eliminate fixed effects," Econometric Reviews, Taylor and Francis Journals, vol. 14(2), pages 205-211. [Downloadable!] (restricted)
  11. Qi Li & Thomas J. Kniesner, 2002. "Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply," Empirical Economics, Springer, vol. 27(1), pages 131-148. [Downloadable!] (restricted)
  12. Baltagi, Badi H. & Chang, Young-Jae & Li, Qi, 1992. "Monte Carlo results on several new and existing tests for the error component model," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 95-120. [Downloadable!] (restricted)
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