Semiparametric estimation and consumer demand
Richard Blundell (),
Alan Duncan and
Krishna Pendakur
Journal of Applied Econometrics, 1998, vol. 13, issue 5, 435-461
Abstract:
This 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.
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (162)
Downloads: (external link)
http://qed.econ.queensu.ca:80/jae/1998-v13.5/ Supporting data files and programs (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jae:japmet:v:13:y:1998:i:5:p:435-461
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().