Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We present the first empirical study of loan searching strategies and loan granting decisions in a context where banks observe whether applicants have unsuccessfully applied for credit to other lenders in the past. Our identification strategy benefits from the use of granular data on loan applications and exploits the fact that evaluating lenders observe only the rejections received by a borrower up to six months before the current application. We document that past rejections diminish the probability of approval and increase the probability that a loan search is interrupted.