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A. Bester and C. Hansen, “A Penalty Function Approach to Bias Reduction in Nonlinear Panel Models with Fixed Effects,” Journal of Business and Economic Statistics, Vol. 27, No. 2, 2009, pp. 131-148. doi:10.1198/jbes.2009.0012

has been cited by the following article:

• TITLE: Hyperbolic Transformation and Average Elasticity in the Framework of the Fixed Effects Logit Model

  AUTHORS: Yoshitsugu Kitazawa

  KEYWORDS: Fixed Effects Logit; Conditional Logit Estimator; Hyperbolic Transformation; Moment Conditions; GMM; Monte Carlo Experiments; Average Elasticity

  JOURNAL NAME: Theoretical Economics Letters, Vol.2 No.2, May 23, 2012

  ABSTRACT: In this paper, a simple transformation is proposed for the fixed effects logit model, which constructs some valid moment conditions including the first-order condition for one of the conditional MLE proposed by Chamberlain (1980) [1]. Some Monte Carlo experiments are carried out for the GMM estimator based on the transformation. In addition, the average elasticity of the logit probability with respect to the exponential function of explanatory variable is proposed in the framework of the fixed effects logit model, which is computable without the fixed effects.