IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-642-31994-5_5.html
   My bibliography  Save this book chapter

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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:adspcp:978-3-642-31994-5_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.