Perceptions of Corruption: An Empirical Study Controlling for Survey Bias

Friesenbichler, Klaus S., Selenko, Eva, Clarke, George, "Perceptions of Corruption: An Empirical Study Controlling for Survey Bias", Journal of Interdisciplinary Economics, First published date: September-14-2017, doi: 10.1177/0260107917723787

Posted: 20 Sep 2017

See all articles by Klaus Friesenbichler

Klaus Friesenbichler

Austrian Institute of Economic Research

Eva Selenko

Independent

George R. G. Clarke

Texas A&M International University - A.R. Sanchez Jr., School of Business

Date Written: September 14, 2017

Abstract

Survey data on corruption are widely used to construct corruption indices, but are hardly questioned. How do individual experiences shape perceptions of corruption? Do more work-engaged respondents perceive corruption as a bigger obstacle to business operations than others? What role does answer bias play in corruption surveys? This article brings together several strands of literature to discuss these questions, and tests them empirically with survey data from Bangladesh and Sri Lanka. We find that individuals who are more work engaged report corruption as a bigger obstacle. So did respondents who were previously exposed to corruption. We control for possible answer bias by implementing a randomized response technique, and find that corruption tends to be under-reported. The effects of work engagement and prior exposure to corruption are more pronounced when the bias indicator is considered, and again become stronger once we control for answer bias affecting past experiences with corruption.

Keywords: corruption, work engagement, survey reticence, random response, Bangladesh, Sri Lanka

JEL Classification: C83, D03, D73, O12

Suggested Citation

Friesenbichler, Klaus and Selenko, Eva and Clarke, George, Perceptions of Corruption: An Empirical Study Controlling for Survey Bias (September 14, 2017). Friesenbichler, Klaus S., Selenko, Eva, Clarke, George, "Perceptions of Corruption: An Empirical Study Controlling for Survey Bias", Journal of Interdisciplinary Economics, First published date: September-14-2017, doi: 10.1177/0260107917723787. Available at SSRN: https://ssrn.com/abstract=3038838

Klaus Friesenbichler (Contact Author)

Austrian Institute of Economic Research ( email )

P.O. Box 91
Wien, A-1103
Austria

Eva Selenko

Independent

No Address Available

George Clarke

Texas A&M International University - A.R. Sanchez Jr., School of Business ( email )

5201 University Blvd.
Laredo, TX 78041-1900
United States

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