This paper examines the determinants of individual bank failures and acquisitions in the United States during 1984-1993. We use bank-specific information suggested by examiner CAMEL-rating categories to estimate competing-risks hazard models with time-varying covariates. We focus especially on...

Numerous studies have found that US commercial banks are quite inefficient, and we find that, on average, banks became more technically inefficient between 1984 and 1993. Our analysis of productivity change, however, shows that technological improvements adopted by a few banks pushed out the...

Numerous studies have found that banks exhaust scale economies at low levels of output, but most are based on the estimation of parametric cost functions which misrepresent bank cost. Here we avoid specification error by using nonparametric kernal regression techniques. We modify measures of...

This paper uses micro-level historical data to examine the causes of bank failure. For state charactered Kansas banks during 19 10-28, time-to-failure is explicitly modeled using a proportional hazards framework. In addition to standard financial ratios, this study includes membership in the...

As the dominant provider of payments services, the efficiency with which the Federal Reserve provides such services in an important public policy issue. This paper examines the productivity of Federal Reserve check-processing offices during 1980-1999 using non-parametric estimation methods and...

This paper investigates how well regulator examinations predict bank failures, and how best to incorporate examination information into an econometric model of time-to-failure. We estimate proportional hazard models with time-varying covariates and find that examiner ratings help explain the...