Economic modeling study reveals the joint divergence of credit scores, income, and consumption across aging cohorts, indicating the trade-offs of restricting adverse financial data.
Credit scores are a primary screening device for the allocation of credit, housing, and sometimes even employment. In the data, credit scores grow and fan out with age; at the same time, income and consumption inequality also increase with a cohort’s age. We postulate a simple model with hidden information to explore the joint determination of credit scores, income, and consumption over an individual’s lifetime which can replicate these empirical facts. We use the model to understand the role of technologies like big data or legal restrictions limiting information on certain adverse events like medical expenses intended to increase credit market access. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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Chatterjee et al. (2026) studied this question.
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