2018
DOI: 10.1007/s10683-018-9584-1
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Cheating, incentives, and money manipulation

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Cited by 49 publications
(32 citation statements)
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References 86 publications
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“…It is possible that our design (where we simply change the reference point) is not enough to trigger loss aversion. One further explanation is that there is a moral cost of cheating (Mazar et al 2008) and subjects do already cheat maximally in the Gain frame, thus the Loss frame cannot induce more cheating (Charness et al 2017). At any event, our result is in line with recent articles that do not find evidence of loss aversion (Harinck et al 2007, Gal andRucker 2017).…”
Section: Resultssupporting
confidence: 91%
“…It is possible that our design (where we simply change the reference point) is not enough to trigger loss aversion. One further explanation is that there is a moral cost of cheating (Mazar et al 2008) and subjects do already cheat maximally in the Gain frame, thus the Loss frame cannot induce more cheating (Charness et al 2017). At any event, our result is in line with recent articles that do not find evidence of loss aversion (Harinck et al 2007, Gal andRucker 2017).…”
Section: Resultssupporting
confidence: 91%
“…Studies of adult populations have shown that adults do not necessarily behave in accordance to these models' predictions. Thus, whereas some studies have shown that adult DMs cheat more with loss framing than with gain framing (Grolleau, Kocher, & Sutan, ; Markiewicz et al, ; Markiewicz & Czupryna, ; Schindler & Pfattheicher, ; Teschner, ), other studies do not (Charness, Blanco‐Jimenez, Ezquerra, & Rodriguez‐Lara, ).…”
Section: Introductionmentioning
confidence: 94%
“…Similarly, studies of adult populations mostly show that adult DMs cheat more willingly to avoid losses (under loss framing) than to obtain rewards of the same magnitude (under gain framing; Grolleau et al, 2016;Markiewicz & Czupryna, 2019;Schindler & Pfattheicher, 2017;Teschner, 2014), although opposite results exist (Charness et al, 2018). Usually, the expectation that DMs should cheat more for losses is explained by the shape of the value function in PT (Kahneman & Tversky, 1979).…”
Section: Introductionmentioning
confidence: 99%
“…Similar designs were used by Mazar, Amir & Ariely (2008), Greene & Paxton (2009), Fosgaard, Hansen & Piovesan (2013, Ploner & Regner, (2013), Shalvi & Leiser (2013), Pascual-Ezama, Prelec & Dunfield (2013), van't Veer, Stel & van Beest (2014) and Charness, Blanco, Ezquerra & Rodriguez-Lara (2017).…”
Section: Measure Of Honestymentioning
confidence: 99%