Estimating Treatment Effects with Big Data When Take-up is Low

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.

Saved in:
Bibliographic Details
Main Authors: Lara Ibarra, Gabriel, McKenzie, David, Ruiz-Ortega, Claudia
Format: Journal Article biblioteca
Language:en_US
Published: Published by Oxford University Press on behalf of the World Bank 2019-12-14
Subjects:FINANCIAL LITERACY, CREDIT-CARD BEHAVIOR, LOW TAKE-UP,
Online Access:https://openknowledge.worldbank.org/handle/10986/40781
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.