Semiparametric estimation and consumer demand
AbstractThis paper considers the implementation of semiparametric methods in the empirical analysis of consumer demand. The application is to the estimation of the Engel curve relationship and uses the British Family Expenditure Survey. Household composition is modelled using an extended partially linear framework. This is shown to provide a useful method for pooling non-parametric Engel curves across households of different demographic composition. © 1998 John Wiley & Sons, Ltd.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 13 (1998)
Issue (Month): 5 ()
Contact details of provider:
Web page: http://www.interscience.wiley.com/jpages/0883-7252/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
If references are entirely missing, you can add them using this form.