Federal Reserve Bank of St. Louis

About: Federal Reserve Bank of St. Louis is a other organization based out in St Louis, Missouri, United States. It is known for research contribution in the topics: Monetary policy & Inflation. The organization has 203 authors who have published 1650 publications receiving 46084 citations.

Regime Switching and Monetary Policy Measurement

Abstract: This paper applies regime switching methods to the problem of measuring monetary policy. Policy preferences and structural factors are specified parametrically as independent Markov processes. Interaction between the structural and preference parameters in the policy rule serves to identify the two processes. The estimates uncover policy episodes that are initiated by switches of "dove regimes," shown to Granger cause both NBER recessions and the Romer dates. These episodes imply real effects of monetary policy that are smaller than those found in previous studies.

Nonlinearity and chaos in economic models: Implications for policy decisions

Abstract: This survey paper discusses the policy implications that can be expected from the recent research on nonlinearity and chaos in economic models. Expected policy implications are interpreted as a driving force behind the recent proliferation of research in this area. In general, it appears that no new justification for policy intervention is developed in models of endogenous fluctuations, although this conclusion depends in part on the definition of equilibrium. When justified, however, policy tends to be very effective in these models. Copyright 1993 by Royal Economic Society.

Nested Forecast Model Comparisons: A New Approach to Testing Equal Accuracy

Abstract: This paper develops bootstrap methods for testing whether, in a finite sample, competing out-of-sample forecasts from nested models are equally accurate. Most prior work on forecast tests for nested models has focused on a null hypothesis of equal accuracy in population — basically, whether coefficients on the extra variables in the larger, nesting model are zero. We instead use an asymptotic approximation that treats the coefficients as non-zero but small, such that, in a finite sample, forecasts from the small model are expected to be as accurate as forecasts from the large model. Under that approximation, we derive the limiting distributions of tests of equal mean square error, and develop bootstrap methods for estimating critical values. Monte Carlo experiments show that our proposed procedures have good size and power properties for the null of equal finite-sample forecast accuracy. We illustrate the use of the procedures with applications to forecasting stock returns and inflation.

How Effective is Central Bank Forward Guidance

Abstract: This paper investigates the effectiveness of forward guidance for the central banks of four countries: New Zealand, Norway, Sweden, and the United States. We test whether forward guidance improved market participants’ ability to forecast future short-term and long-term rates. We find that forward guidance improved market participants’ ability to forecast short-term rates over relatively short forecast horizons, but only for Norway and Sweden. Importantly, there is no evidence that forward guidance has increased the efficacy of monetary policy for New Zealand, the country with the longest history of forward guidance.