Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/51614 
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dc.contributor.authorBurks, Stephen V.en
dc.contributor.authorCarpenter, Jeffrey P.en
dc.contributor.authorGoette, Lorenzen
dc.contributor.authorRustichini, Aldoen
dc.date.accessioned2011-10-10-
dc.date.accessioned2011-11-23T11:31:17Z-
dc.date.available2011-11-23T11:31:17Z-
dc.date.issued2011-
dc.identifier.piurn:nbn:de:101:1-20110629976en
dc.identifier.urihttp://hdl.handle.net/10419/51614-
dc.description.abstractEconomists and psychologists have devised numerous instruments to measure time preferences and have generated a rich literature examining the extent to which time preferences predict important outcomes; however, we still do not know which measures work best. With the help of a large sample of non-student participants (truck driver trainees) and administrative data on outcomes, we gather four different time preference measures and test the extent to which they predict both on their own and when they are all forced to compete head-to-head. Our results suggest that the now familiar (β, δ) formulation of present bias and exponential discounting predicts best, especially when both parameters are used.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x5808en
dc.subject.jelC93en
dc.subject.jelD90en
dc.subject.ddc330en
dc.subject.keywordtime preferenceen
dc.subject.keywordimpatienceen
dc.subject.keyworddiscountingen
dc.subject.keywordpresent biasen
dc.subject.keywordfield experimenten
dc.subject.keywordtruckeren
dc.titleWhich measures of time preference best predict outcomes? Evidence from a large-scale field experiment-
dc.typeWorking Paperen
dc.identifier.ppn66955085Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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