The Reference Point Bias in Judging Cheaters

Sophie Clot (), Gilles Grolleau () and Lisette Ibanez
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Sophie Clot: Department of Economics, University of Reading

No em-dp2020-11, Economics Discussion Papers from Department of Economics, University of Reading

Abstract: Do observers judge differently a wrongdoer when s/he does not exploit the situation to its maximum extent? Using a social intuitionist perspective and taking into account the reference point bias, we hypothesize that people will judge less severely a moral wrongdoing when the situation is not exploited to its fullest extent. Thanks to an experimental survey in France, we examine whether various wrongdoings performed in the business realm (overcharging travel expenses, overstating work hours, pollution) are judged less severely when differing reference points are suggested: (i) no explicit reference point is mentioned, (ii) the maximum extent is reached, (iii) the maximum extent is not reached. Our findings support that participants judge less severely a wrongdoer, when it is indicated that s/he has not exploited the situation to its fullest extent. In addition of maintaining their self-concepts, our findings suggest that partial cheaters can also emphasize their self-restraint to mitigate judgement and punishment if they get caught. We draw some managerial and policy implications.

Keywords: Ethics; Experimental survey; Moral judgment; Reference points (search for similar items in EconPapers)
JEL-codes: C91 K42 (search for similar items in EconPapers)
Pages: 19 pages
Date: 2020-05-26
New Economics Papers: this item is included in nep-exp and nep-ore
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http://www.reading.ac.uk/web/FILES/economics/emdp202011.pdf

Related works:
Journal Article: A reference point bias in judging cheaters (2022)
Working Paper: A Reference Point Bias in Judging Cheaters (2022)
Working Paper: The Reference Point Bias in Judging Cheaters (2020)
Working Paper: The Reference Point Bias in Judging Cheaters (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:rdg:emxxdp:em-dp2020-11

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