Average player traits as predictors of cooperation in a repeated prisoner's dilemma
Omar Al-Ubaydli (),
Garett Jones () and
MPRA Paper from University Library of Munich, Germany
Many studies have looked at how individual player traits influence individual choice in the repeated prisoner’s dilemma, but few studies have looked at how the average traits of pairs of players influence the average choices of pairs. We consider cognitive ability, patience, risk tolerance, and the Big Five personality measures as predictors of individual and average group choices in a ten-round repeated prisoner’s dilemma. We find that a pair’s average cognitive ability measured by the Raven’s IQ test predicts average cooperation rates robustly and average earnings more modestly. Higher individual cognitive ability also predicts a greater probability of sustaining cooperation in the second round, suggesting that positive reciprocity is more likely among players with higher Raven’s scores. Openness is the only control variable that predicts first-round cooperative behavior.
Keywords: cooperation; IQ; personality; discount rate; patience; risk-aversion; prisoner's dilemma (search for similar items in EconPapers)
JEL-codes: D02 D23 O12 O43 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-evo, nep-exp, nep-gth and nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (9) Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/55383/1/MPRA_paper_55383.pdf original version (application/pdf)
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:pra:mprapa:55383
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().