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Jel Classification:E37 

Working Paper
Do Phillips Curves Conditionally Help to Forecast Inflation?

This paper reexamines the forecasting ability of Phillips curves from both an unconditional and conditional perspective by applying the method developed by Giacomini and White (2006). We find that forecasts from our Phillips curve models tend to be unconditionally inferior to those from our univariate forecasting models. Significantly, we also find conditional inferiority, with some exceptions. When we do find improvement, it is asymmetric - Phillips curve forecasts tend to be more accurate when the economy is weak and less accurate when the economy is strong. Any improvement we find, ...
Working Papers , Paper 17-26

Working Paper
Is It Time to Reassess the Focal Role of Core PCE Inflation?

In this paper, I review the history of “core” PCE inflation and its rationale: remove volatile items with transitory shocks to better highlight the trend in inflation. Structural changes in the inflation process imply that, on a “reducing volatility” basis, the list of items excluded from the “core” inflation basket (aside from gasoline) is far from optimal. This is true whether one assesses volatility on the basis of a weighted component monthly, or an index monthly, or a 12-month index, or a 5-year index. In addition, I demonstrate other deficiencies of exclusion indexes. ...
Working Papers , Paper 202110

Working Paper
Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications

We show that a model where investors learn about the persistence of oil-price movements accounts well for the fluctuations in oil-price futures since the late 1990s. Using a DSGE model, we then show that this learning process alters the impact of oil shocks, making it time-dependent and consistent with the muted impact oil-price changes had on macroeconomic outcomes during the early 2000s and again over the past two years. The Spring 2008 increase in oil prices had a larger impact because market participants considered that it was likely driven by permanent shocks.
International Finance Discussion Papers , Paper 1179

Working Paper
Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors : The Federal Reserve's Approach

Since November 2007, the Federal Open Market Committee (FOMC) of the U.S. Federal Reserve has regularly published participants? qualitative assessments of the uncertainty attending their individual forecasts of real activity and inflation, expressed relative to that seen on average in the past. The benchmarks used for these historical comparisons are the average root mean squared forecast errors (RMSEs) made by various private and government forecasters over the past twenty years. This paper documents how these benchmarks are constructed and discusses some of their properties. We draw several ...
Finance and Economics Discussion Series , Paper 2017-020

Report
The relationship between expected inflation, disagreement, and uncertainty: evidence from matched point and density forecasts

This paper examines matched point and density forecasts of inflation from the Survey of Professional Forecasters to analyze the relationship between expected inflation, disagreement, and uncertainty. We extend previous studies through our data construction and estimation methodology. Specifically, we derive measures of disagreement and uncertainty by using a decomposition proposed in earlier research by Wallis and by applying the concept of entropy from information theory. We also undertake the empirical analysis within a seemingly unrelated regression framework. Our results offer mixed ...
Staff Reports , Paper 253

Working Paper
DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors

Currently, there is growing interest in dynamic stochastic general equilibrium (DSGE) models that have more parameters, endogenous variables, exogenous shocks, and observables than the Smets and Wouters (2007) model, and substantial additional complexities from non-Gaussian distributions and the incorporation of time-varying volatility. The popular DYNARE software package, which has proved useful for small and medium-scale models is, however, not capable of handling such models, thus inhibiting the formulation and estimation of more re-alistic DSGE models. A primary goal of this paper is to ...
Working Papers , Paper 21-02

Working Paper
Two Measures of Core Inflation: A Comparison

Trimmed-mean Personal Consumption Expenditure (PCE) inflation does not clearly dominate ex-food-and-energy PCE inflation in real-time forecasting of headline PCE inflation. However, trimmed-mean inflation is the superior communications and policy tool because it is a less-biased real-time estimator of headline inflation and because it more successfully filters out headline inflation?s transitory variation, leaving only cyclical and trend components.
Working Papers , Paper 1903

Working Paper
The Business Cycle Mechanics of Search and Matching Models

This paper estimates a real business cycle model with unemployment driven by shocks to labor productivity and the job separation rate. We make two contributions. First, we develop a new identification scheme based on the matching elasticity that allows the model to perfectly match a range of labor market moments, including the volatilities of unemployment and vacancies. Second, we use our model to revisit the importance of shocks to the job separation rate and highlight how their correlation with labor productivity affects their transmission mechanism.
Working Papers , Paper 2026

Working Paper
Assessing Macroeconomic Tail Risks in a Data-Rich Environment

We use a large set of economic and financial indicators to assess tail risks of the three macroeconomic variables: real GDP, unemployment, and inflation. When applied to U.S. data, we find evidence that a dense model using principal components (PC) as predictors might be misspecified by imposing the “common slope” assumption on the set of predictors across multiple quantiles. The common slope assumption ignores the heterogeneous informativeness of individual predictors on different quantiles. However, the parsimony of the PC-based approach improves the accuracy of out-of-sample forecasts ...
Research Working Paper , Paper RWP 19-12

Working Paper
High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗

Working Papers , Paper 20-35

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Clark, Todd E. 9 items

Carriero, Andrea 7 items

Richter, Alexander W. 6 items

Throckmorton, Nathaniel A. 6 items

Bernstein, Joshua 5 items

Giannone, Domenico 5 items

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C53 49 items

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forecasting 18 items

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