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

Gabriel Lara Ibarra, David McKenzie and Claudia Ruiz-Ortega

The World Bank Economic Review, 2021, vol. 35, issue 2, 348-375

Abstract: Low 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.

Keywords: financial literacy; credit-card behavior; low take-up (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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