A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances
Cross sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor, or a disturbance term which is spatially autoregressive. In this paper we describe a computationally simple procedure for estimating cross sectional models which contain both of these characteristics. We also give formal large sample results.
|Date of creation:||Apr 1997|
|Date of revision:||Aug 1997|
|Contact details of provider:|| Postal: Department of Economics, University of Maryland, Tydings Hall, College Park, MD 20742|
Web page: http://www.econ.umd.edu/
|Order Information:|| Postal: Ms. Elizabeth Martinez, Department of Economics, University of Maryland, Tydings Hall, College Park, MD 20742|
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