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Better insurance against rainfall risk could improve the security of hundreds of millions of agricultural households around the world. However, customers have shown little demand for stand-alone insurance products. This paper theoretically and experimentally analyzes an innovative financial product called a Weather Insurance Savings Account (WISA), which combines savings and rainfall insurance. The paper uses a standard model of intertemporal insurance demand to study how customers' demand for a WISA varies with the amount of insurance offered. A laboratory experiment is then used to elicit participants' valuations of pure insurance, pure savings, and intermediate WISA types. Contrary to the standard model, within-subjects comparisons show that many participants prefer both pure insurance and pure savings to any interior mixture of the two, suggesting that market demand for a WISA is likely to be low. Additional experimental and observational evidence distinguishes between several alternative explanations. One possibility that survives the additional tests is diminishing sensitivity to losses, as in prospect theory.
Agricultural Risk --- Debt Markets --- Emerging Markets --- Financial Intermediation --- Hazard Risk Management --- Index Insurance --- Insurance & Risk Mitigation --- Microinsurance --- Microsavings --- Prospect Theory --- Rainfall --- Wisa
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Better insurance against rainfall risk could improve the security of hundreds of millions of agricultural households around the world. However, customers have shown little demand for stand-alone insurance products. This paper theoretically and experimentally analyzes an innovative financial product called a Weather Insurance Savings Account (WISA), which combines savings and rainfall insurance. The paper uses a standard model of intertemporal insurance demand to study how customers' demand for a WISA varies with the amount of insurance offered. A laboratory experiment is then used to elicit participants' valuations of pure insurance, pure savings, and intermediate WISA types. Contrary to the standard model, within-subjects comparisons show that many participants prefer both pure insurance and pure savings to any interior mixture of the two, suggesting that market demand for a WISA is likely to be low. Additional experimental and observational evidence distinguishes between several alternative explanations. One possibility that survives the additional tests is diminishing sensitivity to losses, as in prospect theory.
Agricultural Risk --- Debt Markets --- Emerging Markets --- Financial Intermediation --- Hazard Risk Management --- Index Insurance --- Insurance & Risk Mitigation --- Microinsurance --- Microsavings --- Prospect Theory --- Rainfall --- Wisa
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Using a unique dataset matched at the individual level from two administrative sources, we examine household choices between liabilities and assess the informational content of prime and subprime credit scores in the consumer credit market. First, more specifically, we assess consumers' effectiveness at prioritizing use of their lowest-cost credit option. We find that most borrowers from one payday lender who also have a credit card from a major credit card issuer have substantial credit card liquidity on the days they take out their payday loans. This is costly because payday loans have annualized interest rates of at least several hundred percent, though perhaps partly explained by the fact that borrowers have experienced substantial declines in credit card liquidity in the year leading up to the payday loan. Second, we show that FICO scores and Teletrack scores have independent information and are specialized for the types of lending where they are used. Teletrack scores have eight times the predictive power for payday loan default as FICO scores. We also show that prime lenders should value information about their borrowers' subprime activity. Taking out a payday loan predicts nearly a doubling in the probability of serious credit card delinquency over the next year.
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Why do many households remain exposed to large exogenous sources of non-systematic income risk? This paper uses a series of randomized field experiments in rural India to test the importance of price and non-price factors in the adoption of an innovative rainfall insurance product. The analysis finds that demand is significantly price-elastic, but that even if insurance were offered with payout ratios similar to US, widespread coverage would not be achieved. The paper identifies key non-price frictions that limit demand: liquidity constraints, particularly among poor households, lack of trust, and limited salience. The authors suggest potential improvements in contract design to mitigate these frictions.
Access to Finance --- Consumer Finance --- Debt Markets --- Economic Development --- Emerging Markets --- Financial Literacy --- Insurance --- Labor Policies --- Liquidity Constraints --- Rural Development --- Trust
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We estimate β-δ time preferences and relative risk aversion (RRA) using a lifecycle model including stochastic income, liquid and illiquid assets, credit cards, dependents, Social Security, mortality, and bequests. Preference parameters are identified by cross-tabulating four lifecycle age intervals and four balance sheet moments: the proportion of households carrying (i.e., revolving) credit card debt, average carried credit card debt, average net wealth among households carrying credit card debt, and average net wealth among households not carrying credit card debt. The sixteen moments are approximately matched by (MSM) parameter estimates β = 0:50, δ = 0:99, and RRA = 1:3.
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Using a unique dataset matched at the individual level from two administrative sources, we examine household choices between liabilities and assess the informational content of prime and subprime credit scores in the consumer credit market. First, more specifically, we assess consumers' effectiveness at prioritizing use of their lowest-cost credit option. We find that most borrowers from one payday lender who also have a credit card from a major credit card issuer have substantial credit card liquidity on the days they take out their payday loans. This is costly because payday loans have annualized interest rates of at least several hundred percent, though perhaps partly explained by the fact that borrowers have experienced substantial declines in credit card liquidity in the year leading up to the payday loan. Second, we show that FICO scores and Teletrack scores have independent information and are specialized for the types of lending where they are used. Teletrack scores have eight times the predictive power for payday loan default as FICO scores. We also show that prime lenders should value information about their borrowers' subprime activity. Taking out a payday loan predicts nearly a doubling in the probability of serious credit card delinquency over the next year.
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Over 60% of US households with credit cards are currently borrowing -- i.e., paying interest -- on those cards. We attempt to reconcile the high rate of credit card borrowing with observed levels of life cycle wealth accumulation. We simulate a lifecycle model with five properties that create demand for credit card borrowing. First, the calibrated labor income path slopes upward early in life. Second, income has transitory shocks. Third, consumers invest actively in an illiquid asset, which is sufficiently illiquid that it can not be used to smooth transitory income shocks. Fourth, consumers may declare bankruptcy, reducing the effective cost of credit card borrowing. Fifth, households have relatively more dependents early in the life-cycle. Our calibrated model predicts that 20% of the population will borrow on their credit card at any point in time, far less than the observed rate of over 60%. We identify a resolution to this puzzle: hyperbolic time preferences. Simulated hyperbolic consumers borrow actively in the revolving credit card market and accumulate relatively large stocks of illiquid wealth, matching observed data.
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Why do many households remain exposed to large exogenous sources of non-systematic income risk? This paper uses a series of randomized field experiments in rural India to test the importance of price and non-price factors in the adoption of an innovative rainfall insurance product. The analysis finds that demand is significantly price-elastic, but that even if insurance were offered with payout ratios similar to US, widespread coverage would not be achieved. The paper identifies key non-price frictions that limit demand: liquidity constraints, particularly among poor households, lack of trust, and limited salience. The authors suggest potential improvements in contract design to mitigate these frictions.
Access to Finance --- Consumer Finance --- Debt Markets --- Economic Development --- Emerging Markets --- Financial Literacy --- Insurance --- Labor Policies --- Liquidity Constraints --- Rural Development --- Trust
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