We show that the PIN and the Duarte and Young (2009) (APIN) models do not match the variability of noise trade in the data and that this limitation has severe implications for how these models identify private information. We examine two alternatives to these models, the Generalized PIN model (GPIN) and the Odders-White and Ready (2008) model (OWR). Our tests indicate that measures of private information based on the OWR and GPIN models are promising alternatives to the APIN’s Adj.PIN and PIN.

We use a matching method that constructs synthetic counterfactual states to identify the channels that link bank deregulation to financial integration, and thereby to economic growth. We document a positive, but conditional, effect of financial integration on economic growth. We explore the heterogeneous effects of financial integration across states depending on the capital mobility in each state. Our results reveal a correlation between financial integration and subsequent banking sector changes related to an expansion in loan recipients. We show that financial integration democratizes lending and spurs economic growth.