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Using the small-business loan market, this paper aims to test whether a structural shift in access to borrowers’ financial information (i.e. credit ratings) improves market efficiency, thereby improving entrepreneurs’ access to external capital.

This research uses the National Survey of Small Business Finance in a conditional logistic regression framework to tease out the marginal propensity to grant lines of credit given the firm’s credit rating – treating both of the events, namely, line of credit and credit ratings, as endogenous variables. This methodology overcomes potential reverse causality issues.

The results show that information brokers have allowed small firms to break away from long-term monopolistic lending relationships, thus contributing to more informationally efficient markets. Small businesses benefit from better-informed lenders by having better access to capital. Also, women appear less likely to receive a line of credit even after adjusting for credit ratings.

This research highlights the importance of credit report awareness/monitoring by entrepreneurs, as the small-business credit rating grows rapidly. Relationship lending is not enough to reach optimal financing costs. These papers call for more regulated credit ratings industry to reduce potential moral hazards.

This paper tests whether bank lending relationships (soft information) still matter after accounting for credit ratings (hard information). Additionally, this study measures the extent to which information sharing by data services bureaus, a proxy for informational efficiency, has increased allocation efficiency in the small-business loan market.