Publication:
Estimating Treatment Effects with Big Data When Take-up is Low: An Application to Financial Education

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creativeworkseries.issn1564-698X
dc.contributor.authorLara Ibarra, Gabriel
dc.contributor.authorMcKenzie, David
dc.contributor.authorRuiz-Ortega, Claudia
dc.date.accessioned2023-12-20T19:39:00Z
dc.date.available2023-12-20T19:39:00Z
dc.date.issued2019-12-14
dc.description.abstractLow take-up of interventions is a common problem faced by evaluations of development programs. A leading case is financial education programs, which are increasingly offered by governments, nonprofits, and financial institutions, but which often have very low voluntary participation rates. This poses a severe challenge for randomized experiments attempting to measure their impact. This study uses a large experiment on more than 100,000 credit card clients in Mexico. The study shows how the richness of financial data allows combining matching and difference-in-difference methods with the experiment to yield credible measures of impact, even with take-up rates below 1 percent. The findings show that a financial education workshop and personalized coaching result in a higher likelihood of paying credit cards on time, and of making more than the minimum payment, but do not reduce spending, resulting in higher profitability for the bank.en
dc.identifier.citationThe World Bank Economic Review
dc.identifier.doi10.1596/40781
dc.identifier.issn0258-6770 (print)
dc.identifier.issn1564-698X (online)
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/40781
dc.language.isoen_US
dc.publisherPublished by Oxford University Press on behalf of the World Bank
dc.relation.ispartofseriesWorld Bank Economic Review
dc.rightsCC BY-NC-ND 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/igo/
dc.subjectFINANCIAL LITERACY
dc.subjectCREDIT-CARD BEHAVIOR
dc.subjectLOW TAKE-UP
dc.titleEstimating Treatment Effects with Big Data When Take-up is Lowen
dc.title.subtitleAn Application to Financial Educationen
dc.typeJournal Article
dspace.entity.typePublication
okr.associatedcontenthttps://academic.oup.com/wber/article/35/2/348/5677509 Journal website (version of record)
okr.crossref.titleEstimating Treatment Effects with Big Data When Take-up is Low: An Application to Financial Education
okr.date.disclosure2023-12-20
okr.doctypePublications & Research
okr.doctypePublications & Research::Journal Article
okr.identifier.doidoi.org/10.1093/wber/lhz045
okr.identifier.doihttp://dx.doi.org/10.1596/40781
okr.language.supporteden
okr.pagenumber348–375
okr.peerreviewAcademic Peer Review
okr.region.administrativeLatin America & Caribbean
okr.region.countryMexico
okr.topicFinance and Financial Sector Development::Access to Finance
okr.topicEducation::Nonformal Education
okr.volume35 (2)
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relation.isAuthorOfPublication.latestForDiscovery148d6d6d-76e5-5d6f-9af9-98313e30551f
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