This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable. In particular, it focuses on the specification and estimation of four panel data models commonly used in applied research: the fixed effects model, the random effects model, the fixed coefficients model and the random coefficients model. This survey should prove useful for researchers in this area.
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003)...
We extend the three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian, and Pruc...
This paper compares various forecasts using panel data with spatial error correla-tion. The true dat...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper provides a survey of the existing literature on the specification and estimation of dynam...
This chapter provides a survey of the existing literature on spatial panel data models. Both static,...
The purpose of this dissertation is to improve the applied researcher's toolbox to estimate spatial ...
1It is described a procedure for maximum likelihood estimation of panel models incorporating: random...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
1I describe maximum likelihood estimation of panel models incorporating: random effects and spatial ...
This paper hammers out the estimation of a fixed effects dynamic panel data model extended either to...
This thesis considers a dynamic panel data model with error components that are correlated both spat...
This article hammers out the estimation of a fixed effects dynamic panel data model extended to incl...
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003)...
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003)...
We extend the three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian, and Pruc...
This paper compares various forecasts using panel data with spatial error correla-tion. The true dat...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper provides a survey of the existing literature on the specification and estimation of dynam...
This chapter provides a survey of the existing literature on spatial panel data models. Both static,...
The purpose of this dissertation is to improve the applied researcher's toolbox to estimate spatial ...
1It is described a procedure for maximum likelihood estimation of panel models incorporating: random...
DR LEO 2009-12This paper derives several Lagrange Multiplier statistics and the corresponding<br />l...
1I describe maximum likelihood estimation of panel models incorporating: random effects and spatial ...
This paper hammers out the estimation of a fixed effects dynamic panel data model extended either to...
This thesis considers a dynamic panel data model with error components that are correlated both spat...
This article hammers out the estimation of a fixed effects dynamic panel data model extended to incl...
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003)...
This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003)...
We extend the three-step generalized methods of moments (GMM) approach of Kapoor, Kelejian, and Pruc...
This paper compares various forecasts using panel data with spatial error correla-tion. The true dat...