This article introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well
Microeconomic panel data, also known as longitudinal data or repeated measures, allow the researcher...
The central theme of this thesis is the development of econometric methods for panel data models. It...
Panel data are repeated observations on the same cross section unit, typically of individuals or fir...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
This article introduces the appropriate within estimators for the most frequently used three-dimensi...
This paper considers nonparametric estimation of autoregressive panel data models with fixed effects...
This article provides a survey of the specification and estimation of spatial panel data models. The...
In this paper we consider estimation of nonlinear panel data models that include multiple individual...
A transformed likelihood approach is suggested to estimate fixed effects dynamic panel data models. ...
This work investigates mainly panel data models in which cross-sections can be considered independen...
It is well known that the usual techniques for estimating random and fixed effects panel data models...
This chapter studies estimation and inference methods for multi-dimensional quantile regression pane...
The main purpose of this paper is to estimate panel data models with endogenous regressors and nonad...
Microeconomic panel data, also known as longitudinal data or repeated measures, allow the researcher...
The central theme of this thesis is the development of econometric methods for panel data models. It...
Panel data are repeated observations on the same cross section unit, typically of individuals or fir...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
The paper introduces for the most frequently used three-dimensional fixed effects panel data models ...
This article introduces the appropriate within estimators for the most frequently used three-dimensi...
This paper considers nonparametric estimation of autoregressive panel data models with fixed effects...
This article provides a survey of the specification and estimation of spatial panel data models. The...
In this paper we consider estimation of nonlinear panel data models that include multiple individual...
A transformed likelihood approach is suggested to estimate fixed effects dynamic panel data models. ...
This work investigates mainly panel data models in which cross-sections can be considered independen...
It is well known that the usual techniques for estimating random and fixed effects panel data models...
This chapter studies estimation and inference methods for multi-dimensional quantile regression pane...
The main purpose of this paper is to estimate panel data models with endogenous regressors and nonad...
Microeconomic panel data, also known as longitudinal data or repeated measures, allow the researcher...
The central theme of this thesis is the development of econometric methods for panel data models. It...
Panel data are repeated observations on the same cross section unit, typically of individuals or fir...