An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys

An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys

Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the data assume that the problem is ignorable within arbitrary subgroups of the population. Theory and evidence suggest that this assumption is unlikely to hold, and that household characteristics such as income sys...

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Main Authors: Korinek, Anton, Mistiaen, Johan A., Ravallion, Martin
Format: Policy Research Working Paper
Language:English
Published: World Bank, Washington, DC 2012
Subjects:
BIASES
CALCULATION
CDF
COVARIANCE
CPI
DEVELOPMENT RESEARCH
DUMMY VARIABLES
ECONOMIC RESEARCH
EMPIRICAL ANALYSIS
EMPLOYMENT
ESTIMATORS
EXPECTED VALUE
FINANCIAL SUPPORT
GINI COEFFICIENT
INCOME
INCOME DISTRIBUTION
INCOME EFFECT
INCOME LEVELS
INDEPENDENT VARIABLES
INSURANCE
INTERVIEWS
LAW OF LARGE NUMBERS
LIVING STANDARDS
LOGARITHMS
LORENZ CURVE
Online Access:http://documents.worldbank.org/curated/en/2005/09/6271202/econometric-method-correcting-unit-nonresponse-bias-surveys
http://hdl.handle.net/10986/8281
id okr-10986-8281
recordtype oai_dc
spelling okr-10986-82812021-04-23T14:02:43Z An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys Korinek, Anton Mistiaen, Johan A. Ravallion, Martin BIASES CALCULATION CDF COVARIANCE CPI DEVELOPMENT RESEARCH DUMMY VARIABLES ECONOMIC RESEARCH EMPIRICAL ANALYSIS EMPLOYMENT ESTIMATORS EXPECTED VALUE FINANCIAL SUPPORT GINI COEFFICIENT INCOME INCOME DISTRIBUTION INCOME EFFECT INCOME LEVELS INDEPENDENT VARIABLES INSURANCE INTERVIEWS LAW OF LARGE NUMBERS LIVING STANDARDS LOGARITHMS LORENZ CURVE Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the data assume that the problem is ignorable within arbitrary subgroups of the population. Theory and evidence suggest that this assumption is unlikely to hold, and that household characteristics such as income systematically affect survey compliance. The authors show that this leaves a bias in the re-weighted data and they propose a method of correcting for this bias. The geographic structure of nonresponse rates allows them to identify a micro compliance function, which they then use to re-weight the unit-record data. An example is given for the U.S. Current Population Surveys, 1998-2004. The authors find, and correct for, a strong household income effect on response probabilities. 2012-06-18T16:20:01Z 2012-06-18T16:20:01Z 2005-09 http://documents.worldbank.org/curated/en/2005/09/6271202/econometric-method-correcting-unit-nonresponse-bias-surveys http://hdl.handle.net/10986/8281 English Policy Research Working Paper; No. 3711 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic BIASES
CALCULATION
CDF
COVARIANCE
CPI
DEVELOPMENT RESEARCH
DUMMY VARIABLES
ECONOMIC RESEARCH
EMPIRICAL ANALYSIS
EMPLOYMENT
ESTIMATORS
EXPECTED VALUE
FINANCIAL SUPPORT
GINI COEFFICIENT
INCOME
INCOME DISTRIBUTION
INCOME EFFECT
INCOME LEVELS
INDEPENDENT VARIABLES
INSURANCE
INTERVIEWS
LAW OF LARGE NUMBERS
LIVING STANDARDS
LOGARITHMS
LORENZ CURVE
spellingShingle BIASES
CALCULATION
CDF
COVARIANCE
CPI
DEVELOPMENT RESEARCH
DUMMY VARIABLES
ECONOMIC RESEARCH
EMPIRICAL ANALYSIS
EMPLOYMENT
ESTIMATORS
EXPECTED VALUE
FINANCIAL SUPPORT
GINI COEFFICIENT
INCOME
INCOME DISTRIBUTION
INCOME EFFECT
INCOME LEVELS
INDEPENDENT VARIABLES
INSURANCE
INTERVIEWS
LAW OF LARGE NUMBERS
LIVING STANDARDS
LOGARITHMS
LORENZ CURVE
Korinek, Anton
Mistiaen, Johan A.
Ravallion, Martin
An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
relation Policy Research Working Paper; No. 3711
description Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the data assume that the problem is ignorable within arbitrary subgroups of the population. Theory and evidence suggest that this assumption is unlikely to hold, and that household characteristics such as income systematically affect survey compliance. The authors show that this leaves a bias in the re-weighted data and they propose a method of correcting for this bias. The geographic structure of nonresponse rates allows them to identify a micro compliance function, which they then use to re-weight the unit-record data. An example is given for the U.S. Current Population Surveys, 1998-2004. The authors find, and correct for, a strong household income effect on response probabilities.
format Publications & Research :: Policy Research Working Paper
author Korinek, Anton
Mistiaen, Johan A.
Ravallion, Martin
author_facet Korinek, Anton
Mistiaen, Johan A.
Ravallion, Martin
author_sort Korinek, Anton
title An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
title_short An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
title_full An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
title_fullStr An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
title_full_unstemmed An Econometric Method of Correcting for Unit Nonresponse Bias in Surveys
title_sort econometric method of correcting for unit nonresponse bias in surveys
publisher World Bank, Washington, DC
publishDate 2012
url http://documents.worldbank.org/curated/en/2005/09/6271202/econometric-method-correcting-unit-nonresponse-bias-surveys
http://hdl.handle.net/10986/8281
_version_ 1764407788988006400

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