The information banks produce drives their lending decisions and macroeconomic outcomes, but this information is inherently difficult to analyse because it is private. We construct a novel measure of bank information quality from confidential regulatory data that include banks’ private risk assessments for US corporate loans. Information quality improves as local economic conditions deteriorate, particularly for new loans, large loans, and loans with higher expected losses. Information quality also declines during periods of rapid local house price appreciation. Our results provide empirical support for theories of countercyclical information production in credit markets.

While investment in most sectors declines in response to a contractionary monetary policy shock, investment in the manufacturing sector increases. Using manually digitized aggregate income and balance sheet data for the universe of US manufacturing firms, I show that this increase is driven by the types of firms which are least likely to be financially constrained. A two-sector New Keynesian model with financial frictions can match these facts; unconstrained firms take advantage of the decline in the user cost of capital caused by the monetary contraction, while constrained firms are forced to cut back. Removing firm financial constraints in the model dampens the response of manufacturing output to monetary shocks by about 25%.