Estimation of spatial models with endogenous weighting matrices, and an application to a demand model for cigarettes
Harry H. Kelejian and
Gianfranco Piras
Regional Science and Urban Economics, 2014, vol. 46, issue C, 140-149
Abstract:
Weighting matrices are typically assumed to be exogenous. However, in many cases this exogeneity assumption may not be reasonable. In these cases, typical model specifications and corresponding estimation procedures will no longer be valid. In this paper we specify a reasonably general spatial panel data model which contains a spatially lagged dependent variable in terms of an endogenous weighting matrix.
Keywords: Spatial panel data model; Endogenous spatial weighting matrix; Spatial HAC estimator (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (80)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166046214000313
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Estimation of Spatial Models with Endogenous Weighting Matrices and an Application to a Demand Model for Cigarettes (2012) 
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:eee:regeco:v:46:y:2014:i:c:p:140-149
DOI: 10.1016/j.regsciurbeco.2014.03.001
Access Statistics for this article
Regional Science and Urban Economics is currently edited by D.P McMillen and Y. Zenou
More articles in Regional Science and Urban Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().