Variance estimation for a low-income proportion

Berger, Yves G. and Skinner, Chris J. (2003) Variance estimation for a low-income proportion. Southampton, GB, University of Southampton, 21pp. (S3RI Methodology Working Papers, M03/03).


[img] PDF
Download (217Kb)


Proportions below a given fraction of a quantile of an income distribution are often estimated from survey data in poverty comparisons. We consider the estimation of the variance of such a proportion, estimated from Family Expenditure Survey data. We show how a linearization method of variance estimation may be applied to this proportion, allowing for the effects of both a complex sampling design and weighting by a raking method to population controls. We show that, for 1998-99 data, the estimated variances are always increased when allowance is made for the design and raking weights, the principal effect arising from the design. We also study the properties of a simplified variance estimator and discuss extensions to a wider class of poverty measures.

Item Type: Monograph (Working Paper)
Subjects: H Social Sciences > HA Statistics
Divisions : University Structure - Pre August 2011 > Southampton Statistical Sciences Research Institute
ePrint ID: 7792
Accepted Date and Publication Date:
Date Deposited: 07 Jun 2004
Last Modified: 31 Mar 2016 11:10
Standard error estimation for distributional measures from complex surveys
Funded by: ESRC National Centre for Research Methods (R000223397)
1 November 2000 to 31 October 2001

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics