posted on 2017-09-18, 10:43authored byKlaus Friesenbichler, Eva SelenkoEva Selenko, George Clarke
Survey data on corruption are widely used to construct corruption indices, but the underlying data 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 test 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 on 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.
History
School
Business and Economics
Department
Business
Published in
Journal of Interdisciplinary Economics
Citation
FRIESENBICHLER, K., SELENKO, E. and CLARKE, G., 2018. Perceptions of corruption: An empirical study controlling for survey bias. Journal of Interdisciplinary Economics, 30(1), pp. 55-77.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2017-07-10
Publication date
2017-09-14
Notes
This paper was accepted for publication in the journal Journal of Interdisciplinary Economics and the definitive published version is available at https://doi.org/10.1177/0260107917723787