We use data from a Brazilian social program to investigate the existence of gender bias in intrahousehold allocations of resources. The program makes cash transfers to mothers and pregnant women in poor households. Bureaucratic mistakes, beyond the control of the applicants, have inadvertently...

Financial education programs are increasingly offered by governments, nonprofits, and financial institutions. However, voluntary participation rates in such programs are often very low, posing a severe challenge for randomized experiments attempting to measure their impact. This study uses a...

This note shows how big data can help combine experimental with non-experimental approaches in impact evaluations when take-up is low. In this study, author have access to a large administrative data set (of 660 MB), which follows the monthly financial indicators of each client for up to 18...

Financial education programs are increasingly offered by governments, nonprofits, and financial institutions. However, voluntary participation rates in such programs are often very low, posing a severe challenge for randomized experiments attempting to measure their impact. This study uses a...

Financial education programs are increasingly offered by governments, nonprofits, and financial institutions. However, voluntary participation rates in such programs are often very low, posing a severe challenge for randomized experiments attempting to measure their impact. This study uses a...

I analyze whether information framing related to the performance of Pension Funds Administrators affects the retirement management decisions of Mexican workers. I conduct a survey to collect information on recommendations for Fund Administrator made by Mexican workers when faced with randomly...