{"title":"Too fast, too furious? Digital credit delivery speed and repayment rates","authors":"Alfredo Burlando , Michael A. Kuhn , Silvia Prina","doi":"10.1016/j.jdeveco.2024.103427","DOIUrl":null,"url":null,"abstract":"<div><div>Digital loans are a source of fast, short-term credit for millions of people. While digital credit broadens market access and reduces frictions, default rates are high. We study the role of the speed of delivery of digital loans on repayment. Our study uses unique administrative data from a digital lender in Mexico and a regression-discontinuity design. We show that reducing loan speed by doubling the delivery time from ten to twenty hours decreases the likelihood of default by 21%. A number of the plausible mechanisms could explain these results. The one that best support our data is that following an unexpected delay, borrowers switch their preferred use of loans in a way that improves the chances of repayment. Our findings suggest that waiting periods used to selectively slow down credit could improve lender profitability and help consumers avoid default.</div></div>","PeriodicalId":48418,"journal":{"name":"Journal of Development Economics","volume":"174 ","pages":"Article 103427"},"PeriodicalIF":5.1000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Development Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304387824001767","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Digital loans are a source of fast, short-term credit for millions of people. While digital credit broadens market access and reduces frictions, default rates are high. We study the role of the speed of delivery of digital loans on repayment. Our study uses unique administrative data from a digital lender in Mexico and a regression-discontinuity design. We show that reducing loan speed by doubling the delivery time from ten to twenty hours decreases the likelihood of default by 21%. A number of the plausible mechanisms could explain these results. The one that best support our data is that following an unexpected delay, borrowers switch their preferred use of loans in a way that improves the chances of repayment. Our findings suggest that waiting periods used to selectively slow down credit could improve lender profitability and help consumers avoid default.
期刊介绍:
The Journal of Development Economics publishes papers relating to all aspects of economic development - from immediate policy concerns to structural problems of underdevelopment. The emphasis is on quantitative or analytical work, which is relevant as well as intellectually stimulating.