Description: Survey Compliance and the Distribution of Income

Survey Compliance and the Distribution of Income

While 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 d...

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Bibliographic Details
Main Authors:	Mistiaen, Johan A., Ravallion, Martin
Language:	English en_US
Published:	World Bank, Washington, DC 2014
Subjects:	ABSOLUTE VALUE AVERAGE INCOME AVERAGE INCOMES CITIZENS CONSUMPTION FUNCTION CUMULATIVE DISTRIBUTION FUNCTION DATA REQUIREMENTS DATA SET DEVELOPING COUNTRIES DIMINISHING MARGINAL UTILITY DISTRIBUTION FUNCTIONS DOWNWARD BIAS ECONOMETRICS ECONOMIC REVIEW ECONOMIC STUDIES EMPIRICAL RELATIONSHIP EMPIRICAL WORK EXPECTED VALUE HOUSEHOLD INCOME HOUSEHOLD MEMBERS INCIDENCE OF POVERTY INCOME INCOME DATA INCOME DIFFERENCES INCOME DISTRIBUTION INCOME DISTRIBUTION DATA INCOME EFFECT INCOME GROUPS INCOME INEQUALITY INCOME LEVEL INCOMES INEQUALITY INEQUALITY MEASUREMENT INEQUALITY MEASURES INVERTED-U RELATIONSHIP LIVING STANDARDS LORENZ CURVE LOW INCOME LOW INCOMES MARGINAL UTILITY MEAN CONSUMPTION MEAN ERROR TERM MEAN INCOME MEAN INCOMES MEASURED INEQUALITY MEASUREMENT ERROR MEASUREMENT ERRORS MEASURING POVERTY NATIONAL SURVEYS OPPORTUNITY COST PER CAPITA INCOME POLICY RESEARCH POLITICAL ECONOMY POOR POVERTY INCIDENCE POVERTY LINES POVERTY MEASURES POVERTY RATE POVERTY RATES REGIONAL DIFFERENCES SAMPLE SIZE SIGNIFICANT CORRELATION SIGNIFICANT NEGATIVE STATISTICAL ANALYSIS UNDERESTIMATES WAGE INCOME WAGES
Online Access:	http://documents.worldbank.org/curated/en/2003/01/2125231/survey-compliance-distribution-income http://hdl.handle.net/10986/19176

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Summary:	While 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.

Survey Compliance and the Distribution of Income

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