Observing unobservables: Identifying information asymmetries with a consumer credit field experiment
Observing unobservables: Identifying information asymmetries with a consumer credit field experiment
7 July, 2020 •Similar Articles
How to Help the Poor to Save a Bit: Evidence from a Field Experiment in Kenya
Partnering with a savings product provider in Kenya, we tested the extent to which behavioral interventions and financial incentives can increase t...
Bancarizing with credit cards: Experimental evidence on interest rates and minimum payments elasticities for new clients
We study the bancarization of marginal borrowers using credit cards and document that this process is difficult: default risk is substantial, retur...
Between Intention and Action: An Experiment on Individual Savings
This study provides experimental evidence about the barriers to adoption of formal savings in Africa. In collaboration with a large commercial bank...
Information asymmetries are important in theory but difficult to identify in practice. We estimate the presence and importance of hidden information and hidden action problems in a consumer credit market using a new field experiment methodology. We randomized 58,000 direct mail offers to former clients of a major South African lender along three dimensions: (i) an initial “offer interest rate” featured on a direct mail solicitation; (ii) a “contract interest rate” that was revealed only after a borrower agreed to the initial offer rate; and (iii) a dynamic repayment incentive that was also a surprise and extended preferential pricing on future loans to borrowers who remained in good standing. These three randomizations, combined with complete knowledge of the lender’s information set, permit identification of specific types of private information problems. Our setup distinguishes hidden information effects from selection on the offer rate (via unobservable risk and anticipated effort), from hidden action effects (via moral hazard in effort) induced by actual contract terms. We find strong evidence of moral hazard and weaker evidence of hidden information problems. A rough estimate suggests that perhaps 13% to 21% of default is due to moral hazard. Asymmetric information thus may help explain the prevalence of credit constraints even in a market that specializes in financing high-risk borrowers.