Anti-corruption policy making, discretionary power and institutional quality: An experimental analysis
Amadou Boly and
Robert Gillanders
Journal of Economic Behavior & Organization, 2018, vol. 152, issue C, 314-327
Abstract:
We analyse policymakers’ incentives to fight corruption under different institutional qualities. We find that ‘public officials’, even when non-corrupt, significantly distort anti-corruption institutions by choosing a lower detection probability when this probability applies to their own actions (legal equality), compared to a setting where it does not (legal inequality). More surprising perhaps is the finding that policy-makers do not choose a zero level of detection on average, even when it applies to them too. Finally, corruption is significantly lower when the detection probability is exogenously set, suggesting that the institutional power to choose detection can itself be corruptive.
Keywords: Anti-corruption; Embezzlement; Experimental economics; Institutions; Policy-making (search for similar items in EconPapers)
JEL-codes: C91 D02 D73 D81 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268118301458
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Anti-corruption policy-making, discretionary power, and institutional quality: An experimental analysis (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:152:y:2018:i:c:p:314-327
DOI: 10.1016/j.jebo.2018.05.007
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().