Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/335542 
Erscheinungsjahr: 
2025
Quellenangabe: 
[Journal:] Economica [ISSN:] 1468-0335 [Volume:] 93 [Issue:] 369 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2025 [Pages:] 160-187
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
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.
Schlagwörter: 
large assets
flexible repayment schemes
loan contracts
repayment patterns
high‐frequency data
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Dokumentart: 
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Dokumentversion: 
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