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The Wooldridge Method for the Initial Values Problem Is Simple: What About Performance?

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  • Akay, Alpaslan

    () (University of Gothenburg)

Abstract

The Wooldridge method is based on a simple and novel strategy to deal with the initial values problem in the nonlinear dynamic random-effects panel data models. This characteristic of the method makes it very attractive in empirical applications. However, its finite sample performance is not known as of yet. In this paper we investigate the performance of this method in comparison with an ideal case in which the initial values are known constants, the worst scenario based on exogenous initial values assumption, and the Heckman's reduced-form approximation method which is widely used in the literature. The dynamic random-effects probit and tobit (type1) models are used as the working examples. Various designs of Monte Carlo Experiments with balanced and unbalanced panel data sets, and also two full length empirical applications are provided. The results suggest that the Wooldridge method works very well for the panels with moderately long durations (longer than 5-8 periods). In short panels Heckman's reduced-form approximation is suggested (shorter than 5 periods). It is also found that all methods perform equally well for panels of long durations (longer than 10-15 periods).

Suggested Citation

  • Akay, Alpaslan, 2009. "The Wooldridge Method for the Initial Values Problem Is Simple: What About Performance?," IZA Discussion Papers 3943, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp3943
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    2. Christoph Wunder & Regina T. Riphahn, 2014. "The dynamics of welfare entry and exit amongst natives and immigrants," Oxford Economic Papers, Oxford University Press, vol. 66(2), pages 580-604.
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    19. Stephen O'Neill & Kevin Hanrahan, 2010. "The importance of accounting for unobserved heterogeneity, state-dependence and differences in residual variances across groups: An application to Irish Farmers land market participation decisions," Working Papers 1005, Rural Economy and Development Programme,Teagasc.

    More about this item

    Keywords

    Monte Carlo experiment; Heckman's reduced-form approximation; dynamic probit and tobit models; Wooldridge method; initial values problem;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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