Public Choice

, Volume 150, Issue 3–4, pp 525–545

The importance of modeling spatial spillovers in public choice analysis

Article

DOI: 10.1007/s11127-010-9714-6

Cite this article as:
LeSage, J.P. & Dominguez, M. Public Choice (2012) 150: 525. doi:10.1007/s11127-010-9714-6

Abstract

It is frequently assumed that regional observations on local government behavior, voters, regional taxes, etc. can be analyzed using ordinary least-squares (OLS) methods. We discuss spatial regression models in empirical studies of public choice issues using impacts arising from population migration on the provision of county-level government services as an illustration. Spatial regressions allow an examination of the direct and indirect (spatial spillover) effects which taken together determine the total impact (on the dependent variable) arising from a change in the explanatory variables. This decomposition should be quite useful in empirical public choice studies.

Keywords

Spatial dependence Spatial regression models Spatial spillovers 

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Fields Endowed Chair for Urban and Regional Economics, McCoy College of Business Administration, Department of Finance and EconomicsTexas State University - San MarcosSan MarcosUSA
  2. 2.McCoy College of Business Administration, Department of Finance and EconomicsTexas State University - San MarcosSan MarcosUSA

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