Ecological Inference with Entropy Econometrics: Using the Mexican Census as a Benchmark

  • Esteban Fernández-Vazquez
  • Rafael Garduño-Rivera
Chapter
First Online:
Part of the Advances in Spatial Science book series (ADVSPATIAL)

Abstract

One relatively frequent limitation for empirical economics is the lack of data available at an appropriate spatial scale. Although the target, in principle, would be to work at a smaller geographical scale, the non-availability of geographically disaggregated information usually limits the conclusions of the analysis at an aggregate level. To overcome this problem, a process of Ecological Inference (EI) is required in order to recover the information at the required spatial scale.

Keywords

Municipal Level Cross Entropy Mexican State Observable Information Small Geographical Scale 
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.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Esteban Fernández-Vazquez
    • 1
  • Rafael Garduño-Rivera
    • 2
  1. 1.REGIOlab - University of OviedoOviedoSpain
  2. 2.Centro de Investigación y Docencia Económicas, A.C. (CIDE)MexicoMexico

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