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.

What Was Behind the M2 Breakdown

Abstract: A deterioration in the link between the M2 monetary aggregate and GDP, along with large errors in predicting M2 growth, led the Board of Governors to downgrade the M2 aggregate as a reliable indicator of monetary policy in 1993. In this paper, we argue that the financial condition of depository institutions was a major factor behind the unusual pattern of M2 growth in the early 1990s. By constructing alternative measures of M2 based on banks? and thrifts? capital positions, we show that the anomalous behavior of M2 in the early 1990s disappears. Specifically, after accounting for the effect of capital constrained institutions on M2 growth, we are able to explain the unusual behavior of M2 velocity during this time period, obtain superior M2 forecasting results, and produce a more stable relationship between M2 and the ultimate goals of policy. Our work suggests that M2 may contain useful information about economic growth during periods of time when there are no major disturbances to depository institutions.

Endogenous growth and international trade

Abstract: This paper clarifies and slightly generalizes the basic endogenous-growth model. I prove the basic theorems without the usual assumption that the distribution of knowledge around the world is irrelevant. Results are stated in terms of lemmas, theorems, and corollaries in order to bring out as clearly as possible the role of each assumption.

Monetary Policy Divergence and Net Capital Flows: Accounting for Endogenous Policy Responses

Abstract: This paper measures the effect of monetary tightening in key advanced economies on net capital flows around the world. Measuring this effect is complicated by the fact that the domestic monetary policies of affected economies respond endogenously to the foreign tightening shock. Using a structural VAR framework with quarterly panel data we estimate the impulse responses of domestic policy variables and net capital flows to a foreign monetary tightening shock. We find that the endogenous response of domestic monetary policy depends on each economy's capital account openness and exchange rate regime. We use a method to compute counterfactual impulse responses for net capital outflows under the assumption that the domestic policy rate does not respond to foreign monetary tightening. Our results suggests that failing to account for the endogenous response of domestic monetary policy biases down the estimated elasticity of net capital flows to foreign interest rates by as much as one-third for countries with open capital accounts.

An evaluation of real-time forecasting performance across 10 western U.S. States

Abstract: The recent financial crisis and economic downturn has emphasized the importance of accurate subnational forecasting models. To judge which models work best, researchers have emphasized the importance of looking at the true real-time performance of models and not simply an analysis of out-of-sample results. In this study we utilize real-time forecasts from the Western Blue Chip Economic Forecast to analyze and evaluate a host of different forecasters and models across time and 10 U.S. states to see if some models and forecasters consistently outperform others. We use the forecast accuracy criteria established by the Blue Chip publication. To evaluate accuracy we develop a scoring procedure based on the number of years that the forecaster/model was closest to actual relative to what we would expect just by random chance. We also utilize standard measures such as the Root Mean Square Error and Theil’s inequality coefficient and test the statistical significance of the best forecasts. We then take a closer look at one model that has proven to be very accurate.

Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun

Abstract: In this paper, we examine changes in the time series properties of three widely used housing market indicators (real house prices, price-to-income ratios, and price-to-rent ratios) for a large set of countries to detect episodes of explosive dynamics. Dating such episodes of exuberance in housing markets provides a timeline as well as empirical content to the narrative connecting housing exuberance to the global 2008-09 recession. For our empirical analysis, we employ two recursive univariate unit root tests recently developed by Phillips et al. (2015) to a panel setting in order to exploit the large cross-sectional dimension of our international dataset. Statistically significant periods of exuberance are found in most countries. Moreover, we find strong evidence of the emergence of an unprecedented period of exuberance in the early 2000s that eventually collapsed around 2006-07, preceding the 2008-09 global recession. We examine whether macro and financial variables help to predict (in-sample) episodes of exuberance in housing markets. Long-term interest rates, credit growth and global economic conditions are found to be among the best predictors. We conclude that global factors (partly) explain the synchronization of exuberance episodes that we detect in the data in the 2000s.