Learning the impact of financial education when take-up is low (English)

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 months prior to the intervention and 6 months after it. Moreover, from the experimental approach their also had a large pool of clients randomly assigned to the...

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Author

Lara Ibarra,Gabriel;

Mckenzie,David J.;

Ruiz Ortega,Claudia;
Document Date
2017/12/01
Document Type
Brief
Report Number
121894
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2017/12/05
Disclosure Status
Disclosed
Doc Name
Learning the impact of financial education when take-up is low
Keywords
treatment group

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Citation

Lara Ibarra,Gabriel; Mckenzie,David J.; Ruiz Ortega,Claudia.

Learning the impact of financial education when take-up is low (English). Finance & PSD impact evaluation note|no. 45 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/733071512466702773

Learning the impact of financial education when take-up is low (English)

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