Threshold Regression with Endogeneity for Short Panels
ECONOMETRICS(2019)
摘要
This paper considers the estimation of dynamic threshold regression models with fixed effects using short panel data. We examine a two-step method, where the threshold parameter is estimated nonparametrically at the N-rate and the remaining parameters are estimated by GMM at the -rate. We provide simulation results that illustrate advantages of the new method in comparison with pure GMM estimation. The simulations also highlight the importance of the choice of instruments in GMM estimation.
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关键词
threshold regression,dynamic models,endogeneity,panel data,GMM estimation,integrated difference kernel IDK estimator,superconsistency
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