Bayesian Techniques in Spatial and Network Econometrics: 1. Model Comparison and Posterior Odds

L W Hepple
Additional contact information
L W Hepple: Department of Geography, University of Bristol, Bristol BS8 1SS

Environment and Planning A, 1995, vol. 27, issue 3, 447-469

Abstract: In this paper the problems of specification and nonnested model comparison in spatial and network econometrics are examined, and the Bayesian posterior probabilities approach is developed. The theory is developed for the comparison of alternative spatial weights matrices in both the systematic and the disturbance components of models, and also for the comparison of alternative spatial disturbance processes. Several empirical illustrations are provided, and extensions of the Bayesian approach are discussed.

Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/a270447 (text/html)

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:sae:envira:v:27:y:1995:i:3:p:447-469

DOI: 10.1068/a270447

Access Statistics for this article

More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().