Variance estimation for a low-income proportion


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

Download

[img] PDF 7792-01.pdf - Other
Download (222kB)

Description/Abstract

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
ePrint ID: 7792
Date :
Date Event
2003Published
Date Deposited: 07 Jun 2004
Last Modified: 10 Mar 2017 11:01
Projects:
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
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/7792

Actions (login required)

View Item View Item