Using Neural Networks to Build Pseudo Panels
Patrice Gaubert ()
European Journal of Economic and Social Systems, 2004, vol. 17, issue 1-2, 63-84
For many theoretical micro-economic models, longitudinal data is a pre-requisite for correct empirical validation. In the absence of true panels we can use pseudo panels, ones where the estimators obtained display the same properties as if a real panel had been used. The present text shows that using a neural network to build a pseudo panel offers many advantages over the traditional method, especially since by acting in this manner (and thanks to the significant homogeneity of the classes obtained thusly) we avoid major measurement errors.
Keywords: Panels; Pseudo Panels; Kohonen Map; Consumption Function (search for similar items in EconPapers)
JEL-codes: C33 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://ejess.revuesonline.com/article.jsp?articleId=4498 Full text (text/html)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ris:ejessy:0131
Access Statistics for this article
European Journal of Economic and Social Systems is currently edited by Bernard Paulré and Stefano Lucarelli
More articles in European Journal of Economic and Social Systems from Lavoisier
Bibliographic data for series maintained by Stefano Lucarelli ( this e-mail address is bad, please contact ).