Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/335542 
Year of Publication: 
2025
Citation: 
[Journal:] Economica [ISSN:] 1468-0335 [Volume:] 93 [Issue:] 369 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2025 [Pages:] 160-187
Publisher: 
Wiley, Hoboken, NJ
Abstract: 
We study repayment in the context of an alternative financial product that enables the purchase of a large asset—a solar panel home system—while offering complete repayment flexibility. Using a large administrative dataset on daily repayment of 38,400 borrowers in Tanzania over 5.5 years, we perform unsupervised pattern analysis to classify repayment behaviour. We show that borrowers with fluctuating incomes make more use of the loan's flexibility, and adjust their repayment to cash flow. In further analysis, we show that in particular, farmers use the flexibility provided by the loan contract to adjust to seasonal fluctuations and to deal with unexpected shocks. Our results indicate that low‐income households can finance large assets through innovative financial approaches that allow aligning payments to financial circumstances.
Subjects: 
large assets
flexible repayment schemes
loan contracts
repayment patterns
high‐frequency data
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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