Showing 1 - 10 of 475
Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental … expansions to M-estimators with concave objective functions in parameters for panel models with additive individual and time …
Persistent link: https://www.econbiz.de/10010209259
Fixed effects estimators of nonlinear panel data models can be severely biased because of the well-known incidental … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010382120
Fixed effects estimators of nonlinear panel data models can be severely biased because of the incidental parameter … expansions to conditional maximum likelihood estimators with concave objective functions in parameters for panel models with …
Persistent link: https://www.econbiz.de/10010501255
In nonlinear panel models with fixed effects and fixed-T, the incidental parameter problem poses identification …
Persistent link: https://www.econbiz.de/10011662786
This paper develops the identification and estimation of nonlinear semi-parametric panel data models with mismeasured …
Persistent link: https://www.econbiz.de/10011775206
This article reviews recent advances in fixed effect estimation of panel data models for long panels, where the number of … section in Arellano & Bonhomme, 2011) we discuss models with both individual and time effects, split-panel Jackknife bias …
Persistent link: https://www.econbiz.de/10011758045
This article reviews recent advances in fixed effect estimation of panel data models for long panels, where the number … & Hahn, 2007; a section in Arellano & Bonhomme, 2011) we discuss models with both individual and time effects, split-panel …
Persistent link: https://www.econbiz.de/10011812268
This paper considers a class of fixed-T nonlinear panel models with timevarying link function, fixed effects, and …
Persistent link: https://www.econbiz.de/10012813642
Models with high-dimensional covariates arise frequently in economics and other fields. Often, only a few covariates have important effects on the dependent variable. When this happens, the model is said to be sparse. In applications, however, it is not known which covariates are important and...
Persistent link: https://www.econbiz.de/10011287010
Persistent link: https://www.econbiz.de/10001748235