Costello, Down, and Mehta (2020) trace their slider intervention to deviations from the credit line amount recommended by a credit scoring model. The deviations are followed by larger delinquency declines and bigger sales orders, and Costello et al. interpret these results using discretion-based theories. However, incremental deviations are concentrated on newer clients rather than those the lender has accumulated soft information about. Deviations also appear larger for public than private borrowers. My discussion evaluates whether these results align with discretion-based theories, and explores alternative interpretations based on salience and unique aspects of the trade credit setting. Differences in interpretation aside, the evidence is informative about technological advances in commercial lending. I conclude with an overview of several recent advances and discuss the implications for lending research.

We review the empirical accounting literature on private firms. Recent advances in data gathering provide new openings to examine private firms which, despite driving half of private sector economic activity, have historically been challenging to study. We provide a conceptual framework to organize the literature, centering on information production, information verification, and information dissemination. Four key takeaways emerge from our review. First, private firm settings offer unique advantages for understanding the economic role of accounting. Because private firms face less regulation than public firms, their accounting choices can shed light on economic tradeoffs that public firm choices cannot. Second, there is limited descriptive evidence on many fundamental accounting choices, including the extent to which private firms follow US GAAP, obtain an audit, or use various management accounting practices. Third, studies jointly modeling private and public firms provide more complete, robust analyses of the economy, regulation in particular. Fourth, private and public firms differ on many central dimensions, which raises difficulties related to conducting empirical analysis and assessing generalizability.

Using a dataset covering 3 million commercial borrower financial statements, we document a substantial, nearly monotonic decline in banks’ use of attested financial statements (AFS) in lending over the past two decades. Two market forces help explain this trend. First, technological advances provide lenders with access to a growing array of borrower information sources that can substitute for AFS. Second, banks are increasingly competing with nonbank lenders that rely less on AFS in screening and monitoring. Our results illustrate how technology adoption and changes in credit market structure can render AFS less efficient than alternative information sources for screening and monitoring.