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I exploit the exogenous component of a formula-based allocation of government funds across banks in Argentina to test for financial constraints and underinvestment by local banks. Banks are found to expand lending by $0.66 in response to an additional dollar of external financing. Using novel data to measure risk and return on marginal lending, I show that the profitability of lending does not decline and total borrower debt increases during lending expansions, holding investment opportunities constant. Overall, financial shocks to constrained banks are found to have a quick, persistent, and amplified effect on the aggregate supply of credit.

We present evidence that reassigning tasks among agents can alleviate moral hazard in communication. A rotation policy that routinely reassigns loan officers to borrowers of a commercial bank affects the officers' reporting behavior. When an officer anticipates rotation, reports are more accurate and contain more bad news about the borrower's repayment prospects. As a result, the rotation policy makes bank lending decisions more sensitive to officer reports. The threat of rotation improves communication because self-reporting bad news has a smaller negative effect on an officer's career prospects than bad news exposed by a successor.

We present evidence that cultural proximity (shared codes, beliefs, ethnicity) between lenders and borrowers increases the quantity of credit and reduces default. We identify in-group lending using dyadic data on religion and caste for officers and borrowers from an Indian bank, and a rotation policy that induces exogenous matching between them. Having an in-group officer increases credit access and loan size dispersion, reduces collateral requirements, and induces better repayment even after the in-group officer leaves. We consider a range of explanations and suggest that the findings are most easily explained by cultural proximity serving to mitigate information frictions in lending.

We estimate risk aversion from investors’ financial decisions in a person-to-person lending platform. We develop a method that obtains a risk-aversion parameter from each portfolio choice. Since the same individuals invest repeatedly, we construct a panel data set that we use to disentangle heterogeneity in attitudes toward risk across investors, from the elasticity of risk aversion to changes in wealth. We find that wealthier investors are more risk averse in the cross section and that investors become more risk averse after a negative housing wealth shock. Thus, investors exhibit preferences consistent with decreasing relative risk aversion and habit formation. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2015.2317 . This paper was accepted by Amit Seru, finance .

We exploit a natural experiment in the largest online consumer lending platform to provide the first evidence that loan terms, in particular maturity choice, can be used to screen borrowers based on their private information. We compare two groups of observationally equivalent borrowers who took identical unsecured 36-month loans; for only one of the groups, a 60-month loan was also available. When a long-maturity option is available, fewer borrowers take the short-term loan, and those who do default less. Additional findings suggest borrowers self-select on private information about their future ability to repay.

This article tests for bias in consumer lending using administrative data from a high-cost lender in the U.K. We motivate our analysis using a new principal-agent model of bias where loan examiners are incentivized to maximize a short-term outcome, not long-term profits, leading to bias against illiquid applicants at the margin of loan decisions. We identify the profitability of marginal applicants using the quasi-random assignment of loan examiners, finding significant bias against immigrant and older applicants when using the firm’s preferred measure of long-run profits but not when using the short-run measure used to evaluate examiner performance. In this case, market incentives based on characteristics that vary across groups lead to inefficient group-based bias.

We estimate the elasticity of exports to credit using matched customs and firm-level bank credit data from Peru. To account for non-credit determinants of exports, we compare changes in exports of the same product and to the same destination by firms borrowing from banks differentially affected by capital-flow reversals during the 2008 financial crisis. We find that credit shocks affect the intensive margin of exports, but have no significant impact on entry or exit of firms to new product and destination markets. Our results suggest that credit shortages reduce exports through raising the variable cost of production, rather than the cost of financing sunk entry investments.

This paper provides evidence that lenders to a firm close to distress have incentives to coordinate: lower financing by one lender reduces firm creditworthiness and causes other lenders to reduce financing. To isolate the coordination channel from lenders' joint reaction to new information, we exploit a natural experiment that forced lenders to share negative private assessments about their borrowers. We show that lenders, while learning nothing new about the firm, reduce credit in anticipation of other lenders' reaction to the negative news about the firm. The results show that public information exacerbates lender coordination and increases the incidence of firm financial distress.

Working Paper No. 16063 We estimate risk aversion from the actual financial decisions of 2,168 investors in Lending Club (LC), a person-to-person lending platform. We develop a methodology that allows us to estimate risk aversion parameters from each portfolio choice. Since the same individual makes repeated investments, we are able to construct a panel of risk aversion parameters that we use to disentangle heterogeneity in attitudes towards risk from the elasticity of investor-specific risk aversion to changes in wealth. In the cross section, we find that wealthier investors are more risk averse. Using changes in house prices as a source of variation, we find that investors become more risk averse after a negative wealth shock. These preferences consistently extrapolate to other investor decisions within LC.

Working Paper No. 24953 This paper tests for bias in consumer lending decisions using administrative data from a high-cost lender in the United Kingdom. We motivate our analysis using a simple model of bias in lending, which predicts that profits should be identical for loan applicants from different groups at the margin if loan examiners are unbiased. We identify the profitability of marginal loan applicants by exploiting variation from the quasi-random assignment of loan examiners. We find significant bias against both immigrant and older loan applicants when using the firm's preferred measure of long-run profits. In contrast, there is no evidence of bias when using a short-run measure used to evaluate examiner performance, suggesting that the bias in our setting is due to the misalignment of firm and examiner incentives. We conclude by showing that a decision rule based on machine learning predictions of long-run profitability can simultaneously increase profits and eliminate bias.