Small business entrepreneurs facing credit constraints may experience significantly different future income trajectories compared to their unconstrained counterparts. We quantify this difference using uniquely detailed loan application data and a regression discontinuity design based on a bank’s credit score cutoff rule employed in the loan approval process. Our findings indicate that loan acceptance increases recipients’ real income by 11% five years later compared to rejected applicants. This effect persists across a wide range of robustness tests and is primarily driven by the utilization of borrowed funds for profitable investments, as captured by the bank’s ex-ante soft information and the ex-post firm performance. Additionally, within the cohort of accepted applicants, future income is higher for those who were easily accepted compared to marginally accepted borrowers with similar creditworthiness, highlighting the important efficiency effects of loan usage.

Capital adequacy is the key microprudential and macroprudential tool of banking regulation. Financial models of capital adequacy are subject to errors, which may prevent from estimating a sufficient capital base to absorb bank losses during economic downturns. In this paper, we propose a general method to account for model risk in capital requirements calculus related to market risk. We then evaluate and compare our capital requirements values with those obtained under Basel 2.5 and the new Basel 4 regulation. Capital requirements adjusted for model risk perform well in containing losses generates in normal and stressed times. In addition, they are as conservative as Basel 4 capital requirements, but they exhibit less fluctuations over time.