Showing 1 - 8 of 8
Persistent link: https://www.econbiz.de/10011539062
Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatialeconometric...
Persistent link: https://www.econbiz.de/10009444587
Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for...
Persistent link: https://www.econbiz.de/10010778473
Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for...
Persistent link: https://www.econbiz.de/10010929281
Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric...
Persistent link: https://www.econbiz.de/10009368749
We describe the spreg command, which implements a maximum likelihood estimator and a generalized spatial two-stage least-squares estimator for the parameters of a linear cross-sectional spatial-autoregressive model with spatial-autoregressive disturbances. Copyright 2013 by StataCorp LP.
Persistent link: https://www.econbiz.de/10010680815
We present the spmat command for creating, managing, and storing spatial-weighting matrices, which are used to model interactions between spatial or more generally cross-sectional units. spmat can store spatial-weighting matrices in a general and banded form. We illustrate the use of the spmat...
Persistent link: https://www.econbiz.de/10010680816
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 additional endogenous variables as well as exogenous variables. spivreg uses results and the...
Persistent link: https://www.econbiz.de/10010680818