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Simulation Estimation of Dynamic Panel Discrete Choice Models Using the $$t$$ t Distributions

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  • Sheng-Kai Chang

Abstract

In this paper a practical robust simulation estimator is proposed for the dynamic panel data discrete choice models using the $$t$$ t distribution. The maximum simulated likelihood estimators are obtained through a recursive algorithm formulated by Geweke–Hajivassiliou–Keane simulators. Monte Carlo experiments indicate that the proposed robust simulation estimators perform well under the errors with longer than normal tails for a small simulation size, even with the initial conditions problem. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Sheng-Kai Chang, 2014. "Simulation Estimation of Dynamic Panel Discrete Choice Models Using the $$t$$ t Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 395-409, April.
  • Handle: RePEc:kap:compec:v:43:y:2014:i:4:p:395-409
    DOI: 10.1007/s10614-014-9425-z
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    References listed on IDEAS

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    1. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    6. Hahn, Jinyong, 2001. "The Information Bound Of A Dynamic Panel Logit Model With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 17(5), pages 913-932, October.
    7. Sheng‐Kai Chang, 2011. "Simulation estimation of two‐tiered dynamic panel Tobit models with an application to the labor supply of married women," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 854-871, August.
    8. Gourieroux, Christian & Monfort, Alain, 1993. "Simulation-based inference : A survey with special reference to panel data models," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 5-33, September.
    9. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.
    10. Sheng-Kai Chang, 2012. "State dependence, serial correlation and heterogeneity in the union membership dynamics," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3453-3460, September.
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    More about this item

    Keywords

    Dynamic panel discrete choice models; Robust simulation estimation; GHK simulator; Initial conditions problem; C15; C23; C24;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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