Urban income and city size: Ecological Inference with Entropy Econometrics for the Spanish municipalities
Most of the regional empirical analyses are limited by the lack of data. Researches have to use information which is structured in administrative or political regions not always economically meaningful. Any aggregation of a territory in regions with economic sense requires data of the main economic variables at basic spatial units, like GDP at a local level. In this paper a methodology to approximate local GDP values is proposed using entropy econometrics which can be defined as an exercise of ecological inference. In addition to the analysis of the main characteristics of the techniques proposed, the paper illustrates how the procedure works taking as empirical application the estimation of income for the Spanish municipalities according to their size. As an example of the possibilities open by this methodology a regional classification based on the relevance of the cities size, which allows us to measure the relevance of agglomeration economics, is empirically applied to the Spanish case obtaining some interesting first results.
|Date of creation:||Jul 2009|
|Contact details of provider:|| Postal: Plaza de la Victoria, 2 C.P. 28802, Alcalá de Henares|
Phone: (00 34) 91 885 52 25
Fax: (00 34) 91 885 52 21
Web page: http://www.iaes.es
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:uae:wpaper:0709. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Laura Suarez)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.