id okr-10986-15847
recordtype oai_dc
spelling okr-10986-158472021-04-23T14:03:23Z Misunderestimating Corruption Kraay, Aart Murrell, Peter BENCHMARK BIASES BINOMIAL DISTRIBUTION CLASSIFICATION COMPUTERS CONDITIONS CORRELATIONS COVARIANCE DATA COLLECTION DESCRIPTION DEVELOPMENT RESEARCH EQUATIONS EXPERIMENTAL DESIGN EXPERIMENTS FINANCIAL SUPPORT GENERALIZATIONS GOVERNMENT AGENCIES GUILT INDIVIDUALS INTERVIEWS LAW OF LARGE NUMBERS LAY OUT MANUSCRIPT METHODOLOGY MODELING MOTIVATION NOTATION ORDERING PERCEPTION PREDICTIONS PROBABILITIES PROBABILITY PROTOCOL QUESTIONNAIRES RANDOM VARIABLES RANDOMIZATION RESEARCH METHODS RESEARCH WORKING PAPERS RESEARCHERS SAMPLING TECHNIQUES SIGNIFICANCE LEVEL SOLUTIONS STANDARD ERRORS SURVEY DATA SURVEY METHODOLOGY WEB corruption reticence random response questions Estimates of the extent of corruption rely largely on self-reports of individuals, business managers, and government officials. Yet it is well known that survey respondents are reticent to tell the truth about activities to which social and legal stigma are attached, implying a downward bias in survey-based estimates of corruption. This paper develops a method to estimate the prevalence of reticent behavior, in order to isolate rates of corruption that fully reflect respondent reticence in answering sensitive questions. The method is based on a statistical model of how respondents behave when answering a combination of conventional and random-response survey questions. The responses to these different types of questions reflect three probabilities -- that the respondent has done the sensitive act in question, that the respondent exhibits reticence in answering sensitive questions, and that a reticent respondent is not candid in answering any specific sensitive question. These probabilities can be estimated using a method-of-moments estimator. Evidence from the 2010 World Bank Enterprise survey in Peru suggests reticence-adjusted estimates of corruption that are roughly twice as large as indicated by responses to standard questions. Reticence-adjusted estimates of corruption are also substantially higher in a set of ten Asian countries covered in the Gallup World Poll. 2013-09-26T14:41:22Z 2013-09-26T14:41:22Z 2013-05 http://documents.worldbank.org/curated/en/2013/06/17875551/misunderestimating-corruption http://hdl.handle.net/10986/15847 English en_US Policy Research Working Paper;No. 6488 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
en_US
topic BENCHMARK
BIASES
BINOMIAL DISTRIBUTION
CLASSIFICATION
COMPUTERS
CONDITIONS
CORRELATIONS
COVARIANCE
DATA COLLECTION
DESCRIPTION
DEVELOPMENT RESEARCH
EQUATIONS
EXPERIMENTAL DESIGN
EXPERIMENTS
FINANCIAL SUPPORT
GENERALIZATIONS
GOVERNMENT AGENCIES
GUILT
INDIVIDUALS
INTERVIEWS
LAW OF LARGE NUMBERS
LAY OUT
MANUSCRIPT
METHODOLOGY
MODELING
MOTIVATION
NOTATION
ORDERING
PERCEPTION
PREDICTIONS
PROBABILITIES
PROBABILITY
PROTOCOL
QUESTIONNAIRES
RANDOM VARIABLES
RANDOMIZATION
RESEARCH METHODS
RESEARCH WORKING PAPERS
RESEARCHERS
SAMPLING TECHNIQUES
SIGNIFICANCE LEVEL
SOLUTIONS
STANDARD ERRORS
SURVEY DATA
SURVEY METHODOLOGY
WEB
corruption
reticence
random response questions
spellingShingle BENCHMARK
BIASES
BINOMIAL DISTRIBUTION
CLASSIFICATION
COMPUTERS
CONDITIONS
CORRELATIONS
COVARIANCE
DATA COLLECTION
DESCRIPTION
DEVELOPMENT RESEARCH
EQUATIONS
EXPERIMENTAL DESIGN
EXPERIMENTS
FINANCIAL SUPPORT
GENERALIZATIONS
GOVERNMENT AGENCIES
GUILT
INDIVIDUALS
INTERVIEWS
LAW OF LARGE NUMBERS
LAY OUT
MANUSCRIPT
METHODOLOGY
MODELING
MOTIVATION
NOTATION
ORDERING
PERCEPTION
PREDICTIONS
PROBABILITIES
PROBABILITY
PROTOCOL
QUESTIONNAIRES
RANDOM VARIABLES
RANDOMIZATION
RESEARCH METHODS
RESEARCH WORKING PAPERS
RESEARCHERS
SAMPLING TECHNIQUES
SIGNIFICANCE LEVEL
SOLUTIONS
STANDARD ERRORS
SURVEY DATA
SURVEY METHODOLOGY
WEB
corruption
reticence
random response questions
Kraay, Aart
Murrell, Peter
Misunderestimating Corruption
relation Policy Research Working Paper;No. 6488
description Estimates of the extent of corruption rely largely on self-reports of individuals, business managers, and government officials. Yet it is well known that survey respondents are reticent to tell the truth about activities to which social and legal stigma are attached, implying a downward bias in survey-based estimates of corruption. This paper develops a method to estimate the prevalence of reticent behavior, in order to isolate rates of corruption that fully reflect respondent reticence in answering sensitive questions. The method is based on a statistical model of how respondents behave when answering a combination of conventional and random-response survey questions. The responses to these different types of questions reflect three probabilities -- that the respondent has done the sensitive act in question, that the respondent exhibits reticence in answering sensitive questions, and that a reticent respondent is not candid in answering any specific sensitive question. These probabilities can be estimated using a method-of-moments estimator. Evidence from the 2010 World Bank Enterprise survey in Peru suggests reticence-adjusted estimates of corruption that are roughly twice as large as indicated by responses to standard questions. Reticence-adjusted estimates of corruption are also substantially higher in a set of ten Asian countries covered in the Gallup World Poll.
format Publications & Research :: Policy Research Working Paper
author Kraay, Aart
Murrell, Peter
author_facet Kraay, Aart
Murrell, Peter
author_sort Kraay, Aart
title Misunderestimating Corruption
title_short Misunderestimating Corruption
title_full Misunderestimating Corruption
title_fullStr Misunderestimating Corruption
title_full_unstemmed Misunderestimating Corruption
title_sort misunderestimating corruption
publisher World Bank, Washington, DC
publishDate 2013
url http://documents.worldbank.org/curated/en/2013/06/17875551/misunderestimating-corruption
http://hdl.handle.net/10986/15847
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