Bias-corrected method of moments estimators for dynamic panel data models

Author(s):  
Jörg Breitung ◽  
Sebastian Kripfganz ◽  
Kazuhiko Hayakawa
2008 ◽  
Vol 24 (5) ◽  
pp. 1321-1342 ◽  
Author(s):  
Zongwu Cai ◽  
Qi Li

We suggest using a class of semiparametric dynamic panel data models to capture individual variations in panel data. The model assumes linearity in some continuous/discrete variables that can be exogenous/endogenous and allows for nonlinearity in other weakly exogenous variables. We propose a nonparametric generalized method of moments (NPGMM) procedure to estimate the functional coefficients, and we establish the consistency and asymptotic normality of the resulting estimators.


2018 ◽  
Vol 22 (4) ◽  
pp. 379-399 ◽  
Author(s):  
Ángeles Gallego ◽  
M. Ángeles Rodríguez-Serrano ◽  
Cristóbal Casanueva

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