This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The rank and model specification of demand systems: an empirical analysis using United States microdata

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christopher J. Nicol
Abstract

A rank-three demand system is estimated with United States Consumer Expenditure Survey microdata. A unique price data set is also used, which permits the analysis of effects of systematic errors in price variables. It is found that errors in price variables bias test results for the rank-three hypothesis, in particular towards rejection. Other test results are affected to a lesser extent. Estimating smaller systems of demand equations, even when conditioning on excluded goods, yields significantly different results. Another important conclusion is that model specification is statistically significantly different for households of varying family sizes and housing tenure statuses.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://economics.ca/cgi/xms?jab=v34n1/16.pdf
File Format: application/pdf
File Function: Full text
Download Restriction: Available to subscribers only. Alternative access through JSTOR and Ingenta.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Canadian Economics Association in its journal Canadian Journal of Economics.

Volume (Year): 34 (2001)
Issue (Month): 1 (February)
Pages: 259-289
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cje:issued:v:34:y:2001:i:1:p:259-289

Contact details of provider:
Postal: Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4
Email:
Web page: http://economics.ca/cje/
More information through EDIRC

Order Information:
Email:
Web: http://economics.ca/en/membership.php

For technical questions regarding this item, or to correct its listing, contact: (Prof. Werner Antweiler).

Related research
Keywords:

Find related papers by JEL classification:
C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Natercia Fortuna, 2004. "Local rank tests in a multivariate nonparametric relationship," Econometric Society 2004 North American Summer Meetings 446, Econometric Society. [Downloadable!]
    Other versions:
  2. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038. [Downloadable!]
  3. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, . "A Residential Energy Demand System for Spain," Working Papers 2005-04, FEDEA. [Downloadable!]
    Other versions:
  4. Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "Local and global rank tests for multivariate varying-coefficient models," FEP Working Papers 196, Universidade do Porto, Faculdade de Economia do Porto. [Downloadable!]
Statistics
Access and download statistics

Did you know? Over 1000 institutions contribute their bibliographic data directly to this service.

This page was last updated on 2009-11-25.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.