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.

Empirical Evidence on the Aggregate Effects of Anticipated and Unanticipated U.S. Tax Policy Shocks

Abstract: We provide empirical evidence on the dynamic effects of tax liability changes in the United States. We distinguish between surprise and anticipated tax changes using a timing-convention. We document that pre-announced but not yet implemented tax cuts give rise to contractions in output, investment and hours worked while real wages increase. In contrast, there are no significant anticipation effects on aggregate consumption. Implemented tax cuts, regardless of their timing, have expansionary and persistent effects on output, consumption, investment, hours worked and real wages. Results are shown to be very robust. We argue that tax shocks are empirically important impulses to the U.S. business cycle and that anticipation effects have been important during several business cycle episodes.

Forty Years of Oil Price Fluctuations: Why the Price of Oil May Still Surprise Us

Abstract: It has been forty years since the oil crisis of 1973/74. This crisis has been one of the defining economic events of the 1970s and has shaped how many economists think about oil price shocks. In recent years, a large literature on the economic determinants of oil price fluctuations has emerged. Drawing on this literature, we first provide an overview of the causes of all major oil price fluctuations between 1973 and 2014. We then discuss why oil price fluctuations remain difficult to predict, despite economists’ improved understanding of oil markets. Unexpected oil price fluctuations are commonly referred to as oil price shocks. We document that, in practice, consumers, policymakers, financial market participants and economists may have different oil price expectations, and that, what may be surprising to some, need not be equally surprising to others.

DSGE Models in a Data-Rich Environment

Abstract: Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However, recent empirical research on factor models has shown that information contained in large data sets is relevant for the evolution of important macroeconomic series. This suggests that conventional model estimates and inference based on estimated DSGE models might be distorted. In this paper, we propose an empirical framework for the estimation of DSGE models that exploits the relevant information from a data-rich environment. This framework provides an interpretation of all information contained in a large data set, and in particular of the latent factors, through the lenses of a DSGE model. The estimation involves MarkovChain Monte-Carlo (MCMC) methods. We apply this estimation approach to a state-of-the-art DSGE monetary model. We find evidence of imperfect measurement of the model’s theoretical concepts, in particular for inflation. We show that exploiting more information is important for accurate estimation of the model’s concepts and shocks, and that it implies different conclusions about key structural parameters and the sources of economic fluctuations.

Separating the likelihood and timing of bank failure

Abstract: We use a split-population survival-time model to separate the determinants of bank failure from the factors influencing the survival time of failing banks. Basic indicators of a bank's condition, such as capital, troubled assets, and net income, are important in explaining the timing of bank failure. However, many of the other variables typically included in bank failure models, such as measures of bank liquidity, are not associated with the time to failure. The results also suggest that the closure of large banks is not delayed relative to the closure of small banks.

Oil Shocks and External Balances

Abstract: This paper studies the effects of demand and supply shocks in the global crude oil market on several measures of countries' external balance, including the oil and non-oil trade balances, the current account, and changes in net foreign assets (NFA) during 1975-2004. We explicitly take a global perspective. In addition to the U.S., the Euro area and Japan, we consider a number of country groups including oil exporters and middle-income oil-importing economies. We find that the effect of oil shocks on the merchandise trade balance and the current account, which depending on the source of the shock can be large, depends critically on the response of the nonoil trade balance, and differs systematically between the U.S. and other oil importing countries. Using the Lane-Milesi-Ferretti NFA data set, we document the presence of large and systematic (if not always statistically significant) valuation effects in response to oil shocks, not only for the U.S., but also for other oil-importing economies and for oil exporters. Our estimates suggest that increased international financial integration will tend to cushion the effect of oil shocks on NFA positions for major oil exporters and the U.S., but may amplify it for other oil importers.