Publication: Misunderestimating Corruption
dc.contributor.author | Murrell, Peter | |
dc.contributor.author | Kraay, Aart | |
dc.date.accessioned | 2013-09-26T14:41:22Z | |
dc.date.available | 2013-09-26T14:41:22Z | |
dc.date.issued | 2013-05 | |
dc.description.abstract | 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. | en |
dc.identifier | http://documents.worldbank.org/curated/en/2013/06/17875551/misunderestimating-corruption | |
dc.identifier.doi | 10.1596/1813-9450-6488 | |
dc.identifier.uri | https://hdl.handle.net/10986/15847 | |
dc.language | English | |
dc.language.iso | en_US | |
dc.publisher | World Bank, Washington, DC | |
dc.relation.ispartofseries | Policy Research Working Paper;No. 6488 | |
dc.rights | CC BY 3.0 IGO | |
dc.rights.holder | World Bank | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/igo/ | |
dc.subject | BENCHMARK | |
dc.subject | BIASES | |
dc.subject | BINOMIAL DISTRIBUTION | |
dc.subject | CLASSIFICATION | |
dc.subject | COMPUTERS | |
dc.subject | CONDITIONS | |
dc.subject | CORRELATIONS | |
dc.subject | COVARIANCE | |
dc.subject | DATA COLLECTION | |
dc.subject | DESCRIPTION | |
dc.subject | DEVELOPMENT RESEARCH | |
dc.subject | EQUATIONS | |
dc.subject | EXPERIMENTAL DESIGN | |
dc.subject | EXPERIMENTS | |
dc.subject | FINANCIAL SUPPORT | |
dc.subject | GENERALIZATIONS | |
dc.subject | GOVERNMENT AGENCIES | |
dc.subject | GUILT | |
dc.subject | INDIVIDUALS | |
dc.subject | INTERVIEWS | |
dc.subject | LAW OF LARGE NUMBERS | |
dc.subject | LAY OUT | |
dc.subject | MANUSCRIPT | |
dc.subject | METHODOLOGY | |
dc.subject | MODELING | |
dc.subject | MOTIVATION | |
dc.subject | NOTATION | |
dc.subject | ORDERING | |
dc.subject | PERCEPTION | |
dc.subject | PREDICTIONS | |
dc.subject | PROBABILITIES | |
dc.subject | PROBABILITY | |
dc.subject | PROTOCOL | |
dc.subject | QUESTIONNAIRES | |
dc.subject | RANDOM VARIABLES | |
dc.subject | RANDOMIZATION | |
dc.subject | RESEARCH METHODS | |
dc.subject | RESEARCH WORKING PAPERS | |
dc.subject | RESEARCHERS | |
dc.subject | SAMPLING TECHNIQUES | |
dc.subject | SIGNIFICANCE LEVEL | |
dc.subject | SOLUTIONS | |
dc.subject | STANDARD ERRORS | |
dc.subject | SURVEY DATA | |
dc.subject | SURVEY METHODOLOGY | |
dc.subject | WEB | |
dc.subject | corruption | |
dc.subject | reticence | |
dc.subject | random response questions | |
dc.title | Misunderestimating Corruption | en |
dspace.entity.type | Publication | |
okr.associatedcontent | https://openknowledge.worldbank.org/handle/10986/23941 Journal accepted manuscript | |
okr.crossref.title | Misunderestimating Corruption | |
okr.date.disclosure | 2013-06-07 | |
okr.date.doiregistration | 2025-04-10T11:47:52.500989Z | |
okr.doctype | Publications & Research::Policy Research Working Paper | |
okr.doctype | Publications & Research | |
okr.docurl | http://documents.worldbank.org/curated/en/2013/06/17875551/misunderestimating-corruption | |
okr.globalpractice | Social, Urban, Rural and Resilience | |
okr.globalpractice | Education | |
okr.globalpractice | Transport and ICT | |
okr.guid | 864411468169460814 | |
okr.identifier.doi | 10.1596/1813-9450-6488 | |
okr.identifier.externaldocumentum | 000158349_20130617134939 | |
okr.identifier.internaldocumentum | 17875551 | |
okr.identifier.report | WPS6488 | |
okr.language.supported | en | |
okr.pdfurl | http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2013/06/17/000158349_20130617134939/Rendered/PDF/WPS6488.pdf | en |
okr.sector | Public Administration, Law, and Justice :: General public administration sector | |
okr.theme | Public sector governance :: Other accountability/anti-corruption | |
okr.topic | Social Development::Psychology | |
okr.topic | Statistical and Mathematical Sciences | |
okr.topic | Science Education | |
okr.topic | Information Security and Privacy | |
okr.topic | Scientific Research and Science Parks | |
okr.topic | Education | |
okr.topic | Science and Technology Development | |
okr.topic | Information and Communication Technologies | |
okr.unit | Macroeconomics and Growth Team, Development Research Group | |
okr.volume | 1 of 1 | |
relation.isAuthorOfPublication | fe7bc90f-4a13-5746-9efb-e11d3386cdf8 | |
relation.isAuthorOfPublication.latestForDiscovery | fe7bc90f-4a13-5746-9efb-e11d3386cdf8 | |
relation.isSeriesOfPublication | 26e071dc-b0bf-409c-b982-df2970295c87 | |
relation.isSeriesOfPublication.latestForDiscovery | 26e071dc-b0bf-409c-b982-df2970295c87 |
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