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Bias corrections for two-step fixed effects panel data estimators

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Listed author(s):
  • Ivan Fernandez-Val

    (Institute for Fiscal Studies and Boston University)

  • Francis Vella

    ()

    (Institute for Fiscal Studies and Georgetown University)

Abstract

This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time varying heterogeneity. These include limited dependent variable models with both unobserved individual effects and endogenous explanatory variables, and sample selection models with unobserved individual effects.

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File URL: http://cemmap.ifs.org.uk/wps/cwp0704.pdf
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Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP04/07.

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Date of creation: 27 Feb 2007
Handle: RePEc:ifs:cemmap:04/07
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Find related papers by JEL classification:
  • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
  • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
  • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects

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