This article provides a survey of the specification and estimation of spatial panel data models. These models include spatial error autocorrelation, or the specification is extended with a spatially lagged dependent variable. In particular, the author 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. The survey discusses the asymptotic properties of the estimators and provides guidance with respect to the estimation procedures, which should be useful for practitioners.</p
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...
Spatial econometrics has been an ongoing research \u85eld. Recently, it has been extended to the pan...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This article provides a survey of the specification and estimation of spatial panel data models. The...
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 paper provides a survey of the existing literature on the specification and estimation of dynam...
This paper provides a survey of the existing literature on the specification and estimation of dynam...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
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...
Spatial econometrics has been an ongoing research \u85eld. Recently, it has been extended to the pan...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This article provides a survey of the specification and estimation of spatial panel data models. The...
This article provides a survey of the specification and estimation of spatial panel data models. The...
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 paper provides a survey of the existing literature on the specification and estimation of dynam...
This paper provides a survey of the existing literature on the specification and estimation of dynam...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
This paper surveys panel data models extended to spatial error autocorrelation or a spatially lagged...
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...
Spatial econometrics has been an ongoing research \u85eld. Recently, it has been extended to the pan...