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Spatial Weights Matrix Selection and Model Averaging for Spatial Autoregressive Models
Model Selection Model Averaging Spatial Econometrics Spatial Autoregressive
2016/1/26
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
Spatial Weights Matrix Selection and Model Averaging for Spatial Autoregressive Models
Model Selection Model Averaging Spatial Econometrics Spatial Autoregressive
2016/1/20
Spatial econometrics relies on spatial weights matrix to specify the cross sectional depen-dence, which might not be unique. This paper proposes a model selection procedure to choose an optimal weight...
A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables
spivreg spatial-autoregressive models
2015/9/24
We describe the spivreg command, which estimates the parameters
of linear cross-sectional spatial-autoregressive models with spatial-autoregressive
disturbances, where the model may also contain add...
Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances
Spatial dependence Heteroskedasticity Cliff–Ord model Two-stage least squares Generalized moments estimation Asymptotics
2015/9/24
This study develops a methodology of inference for a widely used Cliff–Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while a...
Finite sample properties of estimators of spatial autoregressive models with autoregressive disturbances
Spatial autoregressive models ordinary least squares two-stage least squares maximum likelihood finite sample distribution
2015/9/24
The article investigates the finite sample properties of estimators for spatial autoregressive models where the disturbance terms may follow a spatial autoregressive process. In particular we investig...