Federal Reserve Bank of Philadelphia

About: Federal Reserve Bank of Philadelphia is a other organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 205 authors who have published 1366 publications receiving 52075 citations.

Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?

Abstract: Over the past several years, substantial research effort has gone into measuring the efficiency of financial institutions. Many studies have found that inefficiencies are quite large, on the order of 20% or more of total banking industry costs and about half of the industry's potential profits. There is no consensus on the sources of the differences in measured efficiency. this paper examines several possible sources, including differences in efficiency concept, measurement method, and a number of bank, market, and regulatory characteristics. We review the existing literature and provide new evidence using data on US banks over the period 1990–1995.

The Model Confidence Set

Abstract: This paper introduces the model confidence set (MCS) and applies it to the selection of models. A MCS is a set of models that is constructed such that it will contain the best model with a given level of confidence. The MCS is in this sense analogous to a confidence interval for a parameter. The MCS acknowledges the limitations of the data, such that uninformative data yield a MCS with many models, whereas informative data yield a MCS with only a few models. The MCS procedure does not assume that a particular model is the true model; in fact, the MCS procedure can be used to compare more general objects, beyond the comparison of models. We apply the MCS procedure to two empirical problems. First, we revisit the inflation forecasting problem posed by Stock and Watson (1999), and compute the MCS for their set of inflation forecasts. Second, we compare a number of Taylor rule regressions and determine the MCS of the best regression in terms of in-sample likelihood criteria.

Stochastic Trends and Economic Fluctuations

Abstract: Are business cycles mainly the result of permanent shocks to productivity? This paper uses a long-run restriction implied by a large class of real-business-cycle models -identifying permanent productivity shocks as shocks to the common stochastic trend in output, consumption, and investment -to provide new evidence on this question. Econometric tests indicate that this common-stochastic-trend / cointegration implication is consistent with postwar U.S. data. However, in systems with nominal variables, the estimates of this common stochastic trend indicate that permanent productivity shocks typically explain less than half of the business-cycle variability in output, consumption, and investment. (JEL E32, C32) A central, surprising, and controversial result of some current research on real business cycles is the claim that a common stochastic trend-the cumulative effect of permanent shocks to productivity-underlies the bulk of economic fluctuations. If confirmed, this finding would imply that many other forces have been relatively unimportant over historical business cycles, including the monetary and fiscal policy shocks stressed in traditional macroeconomic analysis. This paper shows that the hypothesis of a common stochastic productivity trend has a set of econometric implications that allows us to test for its presence, measure its importance, and extract estimates of its realized value. Applying these procedures to consumption, investment, and output for the postwar United States, we find results that both support and contradict this claim in the real-businesscycle literature. The U.S. data are consistent with the presence of a common

A study of bank efficiency taking into account risk-preferences

Abstract: I use the stochastic cost frontier approach to investigate efficiency of banks operating in the Third Federal Reserve District, accounting for the quality and riskiness of bank output. In addition to the mean and mode of the conditional distribution of the one-sided error term, I calculate confidence intervals for the inefficiency measures based on the conditional distribution. The results indicate that Third District banks are operating at cost-efficient output levels and product mixes, but are not efficiently using their inputs. The second part of the article relates the inefficiency measures to several correlates.