Federal Reserve Bank of Dallas

About: Federal Reserve Bank of Dallas is a other organization based out in Dallas, Texas, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 196 authors who have published 994 publications receiving 35508 citations.

Central Bank Communications: A Case Study

Abstract: Over the past twenty five years, central bank communications have undergone a major revolution. Central banks that previously shrouded themselves in mystery now embrace social media to get their message out to the widest audience. The Federal Reserve System has not always been at the forefront of these changes, but the volume of information about monetary policy that the Federal Open Market Committee (FOMC) now releases dwarfs what it was releasing a quarter century ago. In this paper we focus on just one channel of FOMC communications, the post-meeting statement. We document how it has evolved over time, and in particular the extent to which it has become more detailed, but also more difficult to understand. We then use a VAR with daily financial market data to estimate a daily time series of U.S. monetary policy shocks. We show how these shocks on Fed statement release days have gotten larger as the statement has gotten longer and more detailed, and we show that the length and complexity of the statement has a direct effect on the size of the monetary policy shock following a Fed decision.

Entry Solicitation and Deterrence in R&D Competition with Spillovers

Abstract: The purpose of this note is to examine incumbent behaviour and patterns of entry under R&D competition with spillovers. We find that, in addition to blockading, deterring and accommodating entry, the incumbent may also solicit entry. Entry solicitation occurs when the incumbent strategically alters its R&D commitment in order to take advantage of the spillover generated by the entrant's subsequent R&D investment. Although our results are placed in the context of R&D with spillovers, they are applicable to a wider class of models involving positive externalities, particularly network externalities. JEL Classification Numbers: L12, O31.

Why Does the FDIC Sue

Abstract: Cases the Federal Deposit Insurance Corporation (FDIC) pursues against the directors and officers of failed commercial banks for (gross) negligence are important for the corporate governance of U.S. commercial banks. These cases shape the kernel of bank corporate governance, as they guide expectations of bankers and regulators. Ours is the first empirical study of such legal cases that define the limits of acceptable behavior under financial distress. We examine the differences in behavior of all 408 U.S. commercial banks that were taken into receivership between 2007–2012. Sued banks had different balance sheet dynamics in the three years prior to failure. These generally larger banks were faster growing, obtained riskier funding and were more “optimistic”. We find evidence that the behavior of bank boards adjusts in an out-of-sample set of banks. Our results suggest the FDIC does not only pursue “deep pockets”, but sets corporate governance standards for all banks by suing negligent directors and officers.

Borders and Big Macs

Abstract: I measure the extent of international market segmentation using local, national, and international Big Mac prices. I show that the bulk of time-series price volatility observed across the United States arises between neighboring locations. Using these data, I provide new estimates of border frictions for 14 countries. I find that borders generally introduce only small price wedges, far smaller than those observed across neighboring locations. When expressing these wedges in terms of distance equivalents, I find that border widths are small in relation to price variations observed across the United States. This suggests that international markets are well integrated.

The Shale Revolution and the Dynamics of the Oil Market

Abstract: We build and estimate a dynamic, structural model of the world oil market in order to quantify the impact of the shale revolution We model the shale revolution as a dramatic decrease in shale production costs and explore how the resultant increase in shale production affects the level and volatility of oil prices over our sample We find that oil prices in 2018 would have been roughly 36% higher had the shale revolution not occurred and that the shale revolution implies a reduction in current oil price volatility around 25% and a decline in long-run volatility of over 50%