Identifying Reticent Respondents: Assessing the Quality of Survey Data on Corruption and Values
Omar Azfar and
Peter Murrell ()
Economic Development and Cultural Change, 2009, vol. 57, issue 2, pages 387-411
We implement a methodology that identifies respondents who are reticent in answering sensitive questions on surveys. The methodology entails asking a series of randomized response questions and identifies the reticent as those who give a set of answers that can arise only with an implausibly low probability. In a sample of Romanian company officials, we identify a specific 10% of respondents as reticent. The identifiably reticent admit to corruption interactions significantly less often than others. On values questions, they claim to be of higher moral virtue than the average respondent. We show that reticence is related to the respondent's age, the reticence of others in the region, and region itself. Our results suggest a method of improving the accuracy of survey data on corruption and values, as well as caution in interpreting the causes of cross-country differences in such data. (c) 2009 by The University of Chicago. All rights reserved.
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (15) Track citations by RSS feed
Downloads: (external link)
http://dx.doi.org/10.1086/592840 link to full text (text/html)
Access to full text is restricted to subscribers.
Working Paper: Identifying Reticent Respondents: Assessing the Quality of Survey Data on Corruption and Values (2005)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:ucp:ecdecc:v:57:y:2009:i:2:p:387-411
Access Statistics for this article
Economic Development and Cultural Change is currently edited by 01
More articles in Economic Development and Cultural Change from University of Chicago Press
Series data maintained by Journals Division ().