Knowledge that Transforms

This paper seeks to identify the characteristics that make individual U.S. banks more likely to fail or be acquired. We use bank-specific information to estimate competing-risks hazard models with time-varying covariates. We use alternative measures of productive efficiency to proxy management quality, and find that inefficiency increases the risk of failure while reducing the probability of a bank's being acquired. Finally, we show that the closer to insolvency a bank is (as reflected by a low equity-to-assets ratio) the more likely is its acquisition.

This paper considers the relationship between inequality and crime using data from urban counties. The behavior of property and violent crime are quite different. Inequality has no effect on property crime but a strong and robust impact on violent crime, with an elasticity above 0.5. By contrast, poverty and police activity have significant effects on property crime, but little on violent crime. Property crime is well explained by the economic theory of crime, while violent crime is better explained by strain and social disorganization theories.

This paper proposes a factor model with infinite dynamics and nonorthogonal idiosyncratic components. The model, which we call the generalized dynamic-factor model, is novel to the literature and generalizes the static approximate factor model of Chamberlain and Rothschild (1983), as well as the exact factor model à la Sargent and Sims (1977). We provide identification conditions, propose an estimator of the common components, prove convergence as both time and cross-sectional size go to infinity at appropriate rates, and present simulation results. We use our model to construct a coincident index for the European Union. Such index is defined as the common component of real GDP within a model including several macroeconomic variables for each European country.