Estimating Welfare Indices: Household Weights and Sample Design

23 Pages Posted: 21 Feb 2008

See all articles by Frank Cowell

Frank Cowell

London School of Economics & Political Science (LSE) - Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)

Stephen P. Jenkins

London School of Economics & Political Science (LSE) - Department of Social Policy and Administration; Institute for the Study of Labor (IZA); University of Essex - Institute for Social and Economic Research (ISER)

Date Written: June2000

Abstract

The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into individual distributions) or from the point of view of sample design. The different types of weights have different implications for the sampling distribution of estimators of welfare indices.

Suggested Citation

Cowell, Frank A. and Jenkins, Stephen P., Estimating Welfare Indices: Household Weights and Sample Design (June2000). , Vol. , pp. -, 2000. Available at SSRN: https://ssrn.com/abstract=1094794

Frank A. Cowell (Contact Author)

London School of Economics & Political Science (LSE) - Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD) ( email )

Houghton Street
London WC2A 2AE
United Kingdom
+44 (0)171-955 7277 (Phone)
+44 (0)171-242 2357 (Fax)

Stephen P. Jenkins

London School of Economics & Political Science (LSE) - Department of Social Policy and Administration ( email )

Houghton Street
London, England WC2A 2AE
United Kingdom

Institute for the Study of Labor (IZA)

P.O. Box 7240
Bonn, D-53072
Germany

University of Essex - Institute for Social and Economic Research (ISER) ( email )

Wivenhoe Park
Colchester CO4 3SQ
United Kingdom
+44 120 687 3374 (Phone)
+44 120 687 3151 (Fax)

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