EconPapers    
Economics at your fingertips  
 

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

Harry H Kelejian and Ingmar Prucha

The Journal of Real Estate Finance and Economics, 1998, vol. 17, issue 1, 99-121

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. Copyright 1998 by Kluwer Academic Publishers

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (1121)

Downloads: (external link)
http://journals.kluweronline.com/issn/0895-5638/contents link to full text (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances (1997) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jrefec:v:17:y:1998:i:1:p:99-121

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11146/PS2

Access Statistics for this article

The Journal of Real Estate Finance and Economics is currently edited by Steven R. Grenadier, James B. Kau and C.F. Sirmans

More articles in The Journal of Real Estate Finance and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-27
Handle: RePEc:kap:jrefec:v:17:y:1998:i:1:p:99-121