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A Research Survey of Bias-Correction Methods of Estimators of Nonlinear Panel Data Models
Author(s): 
Pages: 145-161
Year: Issue:  4
Journal: The Journal of Quantitative & Technical Economics

Keyword:  Panel Data ModelFixed EffectsIncidental ParametersBias Correction;
Abstract: Nonlinear panel data models have been widely applied in economics research,but relevant analysis methods have been confronted with great challenges,especially for some micro-data models,the existence of incidental parameters problem makes the maximum likelihood estimator of structure parameters of nonlinear panel data models under fixed-effects setting arise serious errors.This paper elaborates the bias problem of the parameter estimators of this kind of models and reviews various bias-correction methods appeared in recent years,including analytical correction methods,orthogonality correction methods,priori information correction methods and automatic correction methods,simply instructions the connection between the different modification methods,also summarizes some important research results.Finally,emphasizes the differences of bias-correction methods in dealing with different practical problems,and generalize the latest development directions of the problem.
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