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A Note on the Efficient Semiparametric Estimation of Some Exponential Panel Models

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  • Hahn, Jinyong

Abstract

This paper investigates the semiparametric efficiency of the conditional maximum likelihood estimation in some panel models. The nonparametric component of the model is the unknown distribution of the fixed effect. For the exponential panel model, there exists a complete sufficient statistic for the fixed effect. When the complete sufficient statistic does not depend on the parameter of interest, the conditional maximum likelihood estimator (CMLE) achieves the semiparametric efficiency bound. In particular, the CMLE is semiparametrically efficient for the panel Poisson regression model and the panel negative binomial model.

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  • Hahn, Jinyong, 1997. "A Note on the Efficient Semiparametric Estimation of Some Exponential Panel Models," Econometric Theory, Cambridge University Press, vol. 13(04), pages 583-588, August.
  • Handle: RePEc:cup:etheor:v:13:y:1997:i:04:p:583-588_00
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    Cited by:

    1. Dahlberg, Matz & Lundin, Douglas, 2005. "Antidepressants and the Suicide Rate: Is There Really a Connection?," Working Paper Series 2005:4, Uppsala University, Department of Economics.
    2. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," Working Papers hal-01073733, HAL.
    3. Wooldridge, Jeffrey M., 1999. "Distribution-free estimation of some nonlinear panel data models," Journal of Econometrics, Elsevier, vol. 90(1), pages 77-97, May.
    4. Lindvall, Lars, 2003. "Does Public Spending on Youths Affect Crime Rates?," Working Paper Series 2004:3, Uppsala University, Department of Economics.
    5. Geert Dhaene & Koen Jochmans, 2015. "Profile-score adjustments for incidental-parameter problems," Sciences Po publications info:hdl:2441/323dml6suu9, Sciences Po.

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