A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances

  • Harry H. Kelejian
  • Ingmar R. Prucha
Article

DOI: 10.1023/A:1007707430416

Cite this article as:
Kelejian, H.H. & Prucha, I.R. The Journal of Real Estate Finance and Economics (1998) 17: 99. doi:10.1023/A:1007707430416

Abstract

Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor or a disturbance term that is spatially autoregressive. In this article we describe a computationally simple procedure for estimating cross-sectional models that contain both of these characteristics. We also give formal large-sample results.

Spatial autoregressive model two-stage least squares generalized moments estimation 

Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • Harry H. Kelejian
    • 1
  • Ingmar R. Prucha
    • 1
  1. 1.Department of EconomicsUniversity of MarylandCollege Park

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