Who Does Not Respond in the Household Expenditure Survey

Edna Schechtman, Shlomo Yitzhaki and Yevgeny Artsev

Journal of Business & Economic Statistics, 2008, vol. 26, 329-344

Abstract: A nonparametric multiple regression method, based on the extended Gini that depends on one parameter, v, is investigated. The parameter v enables production of infinite alternative linear approximations to the regression curve which differ in the weighting schemes applied to the slopes of the curve. The method allows the investigator to stress different sections of one independent variable while keeping the treatment of the other independent variables intact. As an application we investigate nonresponse patterns in a survey of household expenditures to learn about the relationship between nonresponse and income. The empirical results show that the higher the income, the higher the response rate, and the larger the household, the higher the response rate. The Arab population tends to respond more than the Jewish one, whereas the ultrareligious group tends to respond less than the rest of the population. The implications on the bias in the estimates are discussed.

Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://pubs.amstat.org/doi/abs/10.1198/00 full text (application/pdf)
Access to full text is restricted to subscribers.

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:bes:jnlbes:v:26:y:2008:p:329-344

Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html

Access Statistics for this article

Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano

More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().