2013
DOI: 10.1016/j.econlet.2013.09.005
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Personal characteristics and lying: An experimental investigation

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Cited by 12 publications
(9 citation statements)
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“…Participants with higher religiosity are found to be more likely to destroy in a joy‐of‐destruction game and more likely to expect destructive behaviour from their anonymous partners. Childs () finds that the more religious University of Regina students are, the more likely they are to lie for financial gain and surmises it may be that subjects for whom religion was important feel separate from other students at this largely secular university. Montreal is also a largely secular city; only 16% of our subjects identified themselves as being religious.…”
Section: Discussionmentioning
confidence: 99%
“…Participants with higher religiosity are found to be more likely to destroy in a joy‐of‐destruction game and more likely to expect destructive behaviour from their anonymous partners. Childs () finds that the more religious University of Regina students are, the more likely they are to lie for financial gain and surmises it may be that subjects for whom religion was important feel separate from other students at this largely secular university. Montreal is also a largely secular city; only 16% of our subjects identified themselves as being religious.…”
Section: Discussionmentioning
confidence: 99%
“…Our study is the first to test for gender differences in cheating using the die-paradigm and considering separately the Gain and Loss domains. Childs (2012, 2013), Cappelen et al (2013 and Grolleau et al (2016), among others, investigate gender differences in cheating using other tasks. In the die-paradigm, the experimental evidence when reports are associated with gains is mixed; e.g., Clot et al (2014) find that females cheat more than males, while Conrads et al (2017) find the opposite, and Muehlheusser et al (2015) do not observe gender differences (see Abeler et al (2016) for a recent meta-study on the die-paradigm).…”
Section: Introductionmentioning
confidence: 99%
“…Analyzing gender differences relies on tests of statistical differences for non-independent observations (Moffat, 2015). 9 Our analysis, using the same test as in Table 2, reveals no gender difference in strategic misreporting in the buyer role for which strategic misreporting is not as dominant (see Table 1).…”
Section: Role and Gender Specific Misreportingmentioning
confidence: 59%
“…. Strategic misreporting instead is maximal for lowest 9 More specifically, gender effects in frequencies are tested via a regression where dependent variable is the frequency of truth-telling (or misreporting) of either males or females in the same matching group (periods pooled). Such aggregated frequencies are regressed on a single gender dummy to check whether they differ significantly from male to female participants.…”
Section: Role and Gender Specific Misreportingmentioning
confidence: 99%
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