Monetary historians conventionally trace the establishment of the Federal Reserve System in 1913 to the turbulence of the Panic of 1907. But why did the successful movement for creating a U.S. central bank follow the Panic of 1907 and not any earlier National Banking Era panic? The 1907 panic...

Models used for policy analysis should generate reliable unconditional forecasts as well as policy simulations (conditional forecasts) that are based on a structural model of the economy. Vector autoregression (VAR) models have been criticized for having inaccurate forecasts as well as being...

This paper examines whether financial aggregates provide information useful for predicting the subsequent behavior of real output and inflation. We employ vector autoregression (VAR) techniques to summarize the information in the data, providing evidence on the incremental forecasting value of...

During the Panic of 1907, New York City trust companies were not members of the New York Clearinghouse whereas trust companies in Chicago were members of the Chicago Clearinghouse. We argue that the apparent isolation of New York City trust companies from the pool of bank reserves controlled by...

This paper develops a model in which information losses may be an important part of the cost of an OTC derivatives dealer's failure. A dealer failure forces solvent counterparties of a failed dealer to seek replacement hedges with other dealers. However, by forcing good firms into the...

The call loan market in New York City played a central role in funding the expansion of economic growth and capital investment in the United States in the late 1800s and early 1900s. Changes in the identity of the intermediaries providing those funds help explain why the movement for the...

Vector autoregression (VAR) models are widely used for policy analysis. Some authors caution, however, that the forecast errors of the federal funds rate from such a VAR are large compared to those from the federal funds futures market. From these findings, it is argued that the inaccurate...