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dc.contributor.authorGathergood, J
dc.contributor.authorMahoney, N
dc.contributor.authorStewart, N
dc.contributor.authorWeber, J
dc.date.accessioned2019-10-10T09:46:26Z
dc.date.issued2019-03-01
dc.description.abstractWe study how individuals repay their debt using linked data on multiple credit cards. Repayments are not allocated to the higher interest rate card, which would minimize the cost of borrowing. Moreover, the degree of misallocation is invariant to the economic stakes, which is inconsistent with optimization frictions. Instead, we show that repayments are consistent with a balance-matching heuristic under which the share of repayments on each card is matched to the share of balances on each card. Balance matching captures more than half of the predictable variation in repayments and is highly persistent within individuals over time.en_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.description.sponsorshipLeverhulme Trusten_GB
dc.description.sponsorshipBecker Friedman Institute, University of Chicagoen_GB
dc.identifier.citationVol. 109, pp. 844 - 875en_GB
dc.identifier.doi10.1257/aer.20180288
dc.identifier.grantnumberES/K002201/1en_GB
dc.identifier.grantnumberES/N018192/1en_GB
dc.identifier.grantnumberES/ P008976/1en_GB
dc.identifier.grantnumberRP2012-V-022en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39142
dc.language.isoenen_GB
dc.publisherAmerican Economic Associationen_GB
dc.rights© 2019 American Economic Associationen_GB
dc.titleHow Do Individuals Repay Their Debt? The Balance-Matching Heuristicen_GB
dc.typeArticleen_GB
dc.date.available2019-10-10T09:46:26Z
dc.identifier.issn0002-8282
dc.descriptionThis is the final version. Available from American Economic Association via the DOI in this recorden_GB
dc.identifier.journalAmerican Economic Reviewen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-10-10T09:41:06Z
refterms.versionFCDVoR
refterms.dateFOA2019-10-10T09:46:31Z
refterms.panelCen_GB


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