This paper considers the problem of estimating a partially linear semiparametric fixed effects panel data model with possible endogeneity. Using the series method, we establish the root N normality result for the estimator of the parametric component, and we show that the unknown function can be consistently estimated at the standard nonparametric rate.Panel data, Series method, Fixed effects, Additive models
We propose a kernel based estimator for a partially linear model in triangular systems where endogen...
AbstractAn asymptotic theory is developed for series estimation of nonparametric and semiparametric ...
The partially linear in-slide model (PLIM) is a useful tool to make econometric analyses and to norm...
In this paper we consider the problem of estimating nonparametric panel data models with fixed effec...
This paper considers nonparametric estimation of autoregressive panel data models with fixed effects...
We consider consistent estimation of partially linear panel data models with fixed effects. We propo...
In this article, we consider semiparametric estimation in a partially linear single-index panel data...
This paper deals with statistical inference for the fixed effects panel data seemingly unrelated par...
In this article, we describe the Stata implementation of Baltagi and Li’s (2002, Annals of Economics...
This paper describes the Stata implementation of Baltagi and Li’s (2002) series estimator of partial...
Fixed effects panel data regression models are useful tools in econometric and microarray analysis. ...
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in ...
h i g h l i g h t s • Transforming nonparametric fixed effects panel data model into partially linea...
We suggest using a class of semiparametric dynamic panel data models to capture individual variation...
Motivated by the first differencing method for linear panel data models, we propose a class of itera...
We propose a kernel based estimator for a partially linear model in triangular systems where endogen...
AbstractAn asymptotic theory is developed for series estimation of nonparametric and semiparametric ...
The partially linear in-slide model (PLIM) is a useful tool to make econometric analyses and to norm...
In this paper we consider the problem of estimating nonparametric panel data models with fixed effec...
This paper considers nonparametric estimation of autoregressive panel data models with fixed effects...
We consider consistent estimation of partially linear panel data models with fixed effects. We propo...
In this article, we consider semiparametric estimation in a partially linear single-index panel data...
This paper deals with statistical inference for the fixed effects panel data seemingly unrelated par...
In this article, we describe the Stata implementation of Baltagi and Li’s (2002, Annals of Economics...
This paper describes the Stata implementation of Baltagi and Li’s (2002) series estimator of partial...
Fixed effects panel data regression models are useful tools in econometric and microarray analysis. ...
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in ...
h i g h l i g h t s • Transforming nonparametric fixed effects panel data model into partially linea...
We suggest using a class of semiparametric dynamic panel data models to capture individual variation...
Motivated by the first differencing method for linear panel data models, we propose a class of itera...
We propose a kernel based estimator for a partially linear model in triangular systems where endogen...
AbstractAn asymptotic theory is developed for series estimation of nonparametric and semiparametric ...
The partially linear in-slide model (PLIM) is a useful tool to make econometric analyses and to norm...