Using an extensive high-frequency data set, we investigate the transmission of financial crisis specifically focusing on the Panic of 1907, the final severe panic of the National Banking Era (1863-1913). We trace the transmission of the crisis from New York City trust companies to the New York...

The paper presents the first empirical study of the relation between bank loan volume volatility and bank retail and wholesale liabilities. We argue that since the volume of retail deposits is inflexible, banks facing volatile loan demand tend to fund loans with larger shares of wholesale rather...

This paper derives the optimal lending contract in the financial accelerator model of Bernanke, Gertler and Gilchrist (1999), hereafter BGG. The optimal contract includes indexation to the aggregate return on capital, household consumption, and the return to internal funds. This triple...

This paper develops a model of segmented financial markets in which the net worth of financial institutions limits the degree of arbitrage across the term structure. The model is embedded into the canonical Dynamic New Keynesian (DNK) framework. We estimate the model using data on the term...

In this paper, we focus on the interconnectedness of banks and the price they pay for liquidity. We assess how the concentration of credit relationships and the position of a bank in the network topology of the system influence the bank’s ability to meet its liquidity demand. We use quarterly...

This paper revisits the phenomenon of stagflation. Using a standard New Keynesian dynamic, stochastic general equilibrium model, we show that stagflation from monetary policy alone is a very common occurrence when the economy is subject to both deviations from the policy rule and a drifting...

We estimate a monetary policy rule for the US allowing for possible frequency dependence—i.e., allowing the central bank to respond differently to more persistent innovations than to more transitory innovations, in both the unemployment rate and the inflation rate. Our estimation method uses...