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.
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This problem can be solved, on the other hand, by specifying a prior different from the example used in our empirical analysis.
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Fernández-Vazquez, E., Garduño-Rivera, R. (2012). Ecological Inference with Entropy Econometrics: Using the Mexican Census as a Benchmark. In: Fernández Vázquez, E., Rubiera Morollón, F. (eds) Defining the Spatial Scale in Modern Regional Analysis. Advances in Spatial Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31994-5_5
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DOI: https://doi.org/10.1007/978-3-642-31994-5_5
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