The increasing availability of data derived from linked consumer financial accounts has the potential to dramatically expand the potential for research. Examining the most comprehensive existing set of linked-account data, consisting of transaction and balance sheet data for millions of Americans, I demonstrate the power and versatility of such sources. I discuss advantages and concerns arising from this type of data and match a range of distributional moments to external sources. As one application, I test consumption elasticities across households with varying levels, and types, of debt. I find that heterogeneity in consumption elasticity can be explained entirely by credit and liquidity.

We examine a dynamic model of up-or-down problem solving. A decision maker can either spend resources investigating a new problem before deciding what to do or decide on the basis of similarity with precedent problems. Over time, a decision-making framework, or jurisprudence, develops. We focus on the model’s application to judge-made law. We show that judges summarily apply precedent in some cases. The law may converge to efficient or inefficient rules. With positive probability, identical cases are treated differently. As the court learns over time, inconsistencies become less likely. We discuss the existing empirical evidence and the model’s testable implications.