NBER Working Papers by Daniel Paravisini

We present evidence that shared codes, religious beliefs, ethnicity - cultural proximity - between lenders and borrowers improves the efficiency of credit allocation. We identify in-group preferential treatment using dyadic data on the religion and caste of bank officers and borrowers from a bank in India, and a rotation policy that induces exogenous matching between officers and borrowers. Cultural proximity increases lending on both intensive and extensive margins and improves repayment performance, even after the in-group officer is replaced by an out-group one. Further, cultural proximity increases loan dispersion and reduces loan to collateral ratios. Our results imply that cultural proximity mitigates informational problems that adversely affect lending, which in turn relaxes financi...

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 obtain elasticity estimates for the intensive and extensive margins of exports, size and frequency of shipments, and the method of freight and payment. Our results suggest that the credit shortage reduces exports through raising the cost of working capital for general production, rather than the cost of financing export-specific cash cycles or sunk entry investments.

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.