EconPapers    
Economics at your fingertips  
 

Testing for Spatial Lag and Spatial Error Dependence Using Double Length Artificial Regressions

Badi Baltagi and Long Liu
Additional contact information
Long Liu: The University of Texas at San Antonio

No 147, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: This paper obtains the joint and conditional Lagrange Multiplier tests for a spatial lag regression model with spatial auto-regressive error derived in Anselin et al. (1996) using artificial Double Length Regressions (DLR). These DLR tests and their corresponding LM tests are compared using an illustrative example and a Monte Carlo simulation. Key Words: Double Length Regression; Spatial Lag Dependence; Spatial Error Dependence; Artificial Regressions JEL No. C12, C21, R15

Pages: 9 pages
Date: 2012-10
New Economics Papers: this item is included in nep-ecm and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
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:max:cprwps:147

Access Statistics for this paper

More papers in Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University 426 Eggers Hall, Syracuse, New York USA 13244-1020. Contact information at EDIRC.
Bibliographic data for series maintained by Katrina Fiacchi ().

 
Page updated 2025-03-19
Handle: RePEc:max:cprwps:147