Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.