Survey compliance and the distribution of income
AbstractWhile it is improbable that households with different incomes are equally likely to participate in sample surveys, the lack of data for nonrespondents has hindered efforts to correct for the bias in measures of poverty and inequality. The authors demonstrate how the latent income effect on survey compliance can be estimated using readily available data on response rates across geographic areas. An application using the Current Population Survey for the United States indicates that compliance falls as income rises. Correcting for selective compliance appreciably increases mean income and inequality, but has only a small impact on poverty incidence up to commonly used poverty lines in the United States.
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Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 2956.
Date of creation: 31 Jan 2003
Date of revision:
Services&Transfers to Poor; Economic Theory&Research; Poverty Impact Evaluation; Poverty Monitoring&Analysis; Health Economics&Finance; Governance Indicators; Poverty Monitoring&Analysis; Safety Nets and Transfers; Inequality; Economic Theory&Research;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-08-16 (All new papers)
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