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Keywords:forecasts 

Working Paper
Risk Management in Monetary Policymaking: The 1994-95 Fed Tightening Episode

The 1994-95 Fed tightening episode was one of the most notable in the Fed’s history. First, the FOMC raised the policy rate by 300 basis points in a year, even though headline and core inflation were trending lower prior to the liftoff that occurred in February 1994. Second, the Fed’s actions caught the Treasury market by surprise, triggering a sharp decline in long-term bond prices. Third, Fed Chair Alan Greenspan and the Federal Open Market Committee were regularly surprised that inflation was not rising by more than the forecasts suggested during the episode. This article presents some ...
Working Papers , Paper 2023-030

Newsletter
Economic Outlook Symposium: Summary of 2014 Results and 2015 Forecasts

According to participants in the Chicago Fed?s annual Economic Outlook Symposium, the U.S. economy is forecasted to grow at a pace slightly above average in 2015, with inflation ticking lower and the unemployment rate edging down.
Chicago Fed Letter , Issue Mar

Discussion Paper
A Bayesian VAR Model Perspective on the Lagged Effect of Monetary Policy

Over the last few years, the U.S. economy has experienced unusually high inflation and an unprecedented pace of monetary policy tightening. While inflation has fallen recently, it remains above target, and the economy continues to expand at a robust pace. Does the resilience of the U.S. economy imply that monetary policy has been ineffectual? Or does it reflect that policy acts with “long and variable lags” and so we haven’t yet observed the full effect of the monetary tightening that has already taken place? Using a Bayesian vector autoregressive (BVAR) model, we show that economic ...
Liberty Street Economics , Paper 20231121a

Journal Article
The Likelihood of 2 Percent Inflation in the Next Three Years

This Commentary examines inflation forecasts generated from a range of statistical models that historically have performed well at forecasting inflation. For each model, we look at the most likely future forecast path and the distribution of forecasts around that path. We show that the models project generally rising inflation, but, in contrast to other forecasts, five out of six models assign a less than 50 percent probability to inflation?s being 2 percent or higher over the next three years.
Economic Commentary , Issue November

Working Paper
The Fed's Response to Economic News Explains the “Fed Information Effect”

High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a “Fed information effect” channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical ...
Working Paper Series , Paper 2020-06

Discussion Paper
The Central Banking Beauty Contest

Expectations can play a significant role in driving economic outcomes, with central banks factoring market sentiment into policy decisions and market participants forming their own assumptions about monetary policy. But how well do central banks understand the expectations of market participants—and vice versa? Our model, developed in a recent paper, features a dynamic game between (i) a monetary authority that cannot commit to an inflation target and (ii) a set of market participants that understand the incentives created by that credibility problem. In this post, we describe the game, a ...
Liberty Street Economics , Paper 20240930

Working Paper
Addressing COVID-19 Outliers in BVARs with Stochastic Volatility

The COVID-19 pandemic has led to enormous movements in economic data that strongly affect parameters and forecasts obtained from standard VARs. One way to address these issues is to model extreme observations as random shifts in the stochastic volatility (SV) of VAR residuals. Specifically, we propose VAR models with outlier-augmented SV that combine transitory and persistent changes in volatility. The resulting density forecasts for the COVID-19 period are much less sensitive to outliers in the data than standard VARs. Evaluating forecast performance over the last few decades, we find that ...
Working Papers , Paper 21-02R

Journal Article
Examining the Performance of FOMC Inflation Forecasts

Calendar-year inflation forecasts from Federal Open Market Committee meeting participants typically start near 2% and then are revised in response to incoming data. Before the pandemic when actual inflation was mostly below 2%, participants consistently lowered their forecasts over time. From 2021 onward when inflation surged to 40-year highs, participants consistently raised their forecasts over time. In both periods, cumulative forecast revisions help predict the size of subsequent forecast errors. This implies that the typical inflation forecast was slow to adjust to new information that ...
FRBSF Economic Letter , Volume 2024 , Issue 29 , Pages 6

Journal Article
Forecasts Point to Cautious Optimism for Near-term Rebound

Forecasts suggest the economy is on the road to recovery, though it could take a year or more for activity to return to pre-pandemic levels.
The Regional Economist , Volume 28 , Issue 3

Working Paper
Addressing COVID-19 Outliers in BVARs with Stochastic Volatility

Incoming data in 2020 posed sizable challenges for the use of VARs in economic analysis: Enormous movements in a number of series have had strong effects on parameters and forecasts constructed with standard VAR methods. We propose the use of VAR models with time-varying volatility that include a treatment of the COVID extremes as outlier observations. Typical VARs with time-varying volatility assume changes in uncertainty to be highly persistent. Instead, we adopt an outlier-adjusted stochastic volatility (SV) model for VAR residuals that combines transitory and persistent changes in ...
Working Papers , Paper 21-02

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