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

Esteban Fernández-Vazquez () and Rafael Garduño-Rivera
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Esteban Fernández-Vazquez: REGIOlab - University of Oviedo
Rafael Garduño-Rivera: Centro de Investigación y Docencia Económicas, A.C. (CIDE)
Authors registered in the RePEc Author Service: Rafael Garduño Rivera

Chapter Chapter 5 in Defining the Spatial Scale in Modern Regional Analysis, 2012, pp 93-106 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2012
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Working Paper: Ecological Inference with Entropy Econometrics: using the Mexican Census as a benchmark (2011)
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DOI: 10.1007/978-3-642-31994-5_5

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