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Applied Economics Letters Volume 23, 2016 - Issue 16
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Articles

Local and global spatial effects in hierarchical models

Donald J. LacombeRegional Research Institute, West Virginia University, Morgantown, WV, USACorrespondence[email protected]
&
Stuart G. McIntyreDepartment of Economics, University of Strathclyde, Glasgow, Scotland
Pages 1168-1172 | Published online: 10 Feb 2016

References

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  • Gelman, A., and J. Hill. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. New York: Cambridge University Press.
  • LeSage, J., and R. K. Pace. 2009. Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press.
  • LeSage, J. P. 2014. What Regional Scientists Need to Know about Spatial Econometrics. The Review of Regional Studies 44: 13–31.
  • Lindley, D. V., and A. F. Smith. 1972. “Bayes Estimates for the Linear Model.” Journal of the Royal Statistical Society. Series B (Methodological) 34: 1–41.
  • Raudenbush, S. W., and A. S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. Vol. 1. Thousand Oaks, CA: Sage.
  • Stegmueller, D. 2013. “How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches.” American Journal of Political Science 57: 748–761. doi:10.1111/ajps.2013.57.issue-3.

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