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

In: Defining the Spatial Scale in Modern Regional Analysis

Author

Listed:
  • Esteban Fernández-Vazquez

    (REGIOlab - University of Oviedo)

  • Rafael Garduño-Rivera

    (Centro de Investigación y Docencia Económicas, A.C. (CIDE))

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.

Suggested Citation

  • Esteban Fernández-Vazquez & Rafael Garduño-Rivera, 2012. "Ecological Inference with Entropy Econometrics: Using the Mexican Census as a Benchmark," Advances in Spatial Science, in: Esteban Fernández Vázquez & Fernando Rubiera Morollón (ed.), Defining the Spatial Scale in Modern Regional Analysis, edition 127, chapter 0, pages 93-106, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-31994-5_5
    DOI: 10.1007/978-3-642-31994-5_5
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