Tax evasion and emotions: An empirical test of re-integrative shaming theory
Giorgio Coricelli (),
Elena Rusconi and
Marie Claire Villeval ()
Journal of Economic Psychology, 2014, vol. 40, issue C, 49-61
Shaming can be either of two types, shaming that becomes stigmatization of the offender and favors his exclusion from the community, or shaming that is followed by forgiveness and reintegration of the deviant. Here we test experimentally these aspects of shaming theory with a repeated tax-payment game, in which the shaming “ritual” consisted of displaying the evader’s picture in addition to charging monetary sanctions. Results show that when cheating is made public and the contravener is not successively reintegrated, the total amount of cheating is significantly increased compared to when cheating is made public but publicity is immediately followed by reintegration. The former condition is associated with more intense negative emotions related to cheating. This suggests that the employment of a social shaming mechanism may be an effective, albeit very sensitive, tool in the hands of policy makers.
Keywords: Tax evasion; Moral emotions; Shaming theory; Cheating behavior; Experiment (search for similar items in EconPapers)
JEL-codes: H26 C91 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Tax Evasion and emotions: An empirical test of re-integrative shaming theory (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:joepsy:v:40:y:2014:i:c:p:49-61
Access Statistics for this article
Journal of Economic Psychology is currently edited by G. Antonides and D. Read
More articles in Journal of Economic Psychology from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().