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General Spatial Econometric Conclusions

  • Daniel A. Griffith
  • Jean H.P. Paelinck
Chapter
Part of the Advances in Geographic Information Science book series (AGIS, volume 1)

Abstract

What should be clear from the exercises presented is that in most of them, classical “regression” has been combined with mathematical programming to obtain the desired estimators.

Keywords

Analytical Tool Mathematical Programming Poisson Distribution Preceding Discussion Spatial Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Coutrot, B., Paelinck, J.H.P., Sallez, A. 2009. Analyzing the complexity of knowledge-based spatial economic developments, Région et Développement, 29: 201–228.Google Scholar
  2. Paelinck, J.H.P. 2004. Veinte años de econometría espacial, Proceedings of the Primer Seminario de Econometría Espacial Jean Paelinck, Universidad de Zaragoza, Departamento de Análisis Económico, Zaragoza, Spain, pp. 1–20.Google Scholar

Copyright information

© Springer Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.University of Texas, Dallas School of Economic, Political & Policy SciencesRichardsonUSA
  2. 2.George Mason University, School of Public PolicyRotterdamNetherlands

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