Search Results
Working Paper
The Effect of Component Disaggregation on Measures of the Median and Trimmed-Mean CPI
For decades, the Federal Reserve Bank of Cleveland (FRBC) has produced median and trimmed-mean consumer price index (CPI) measures. These have proven useful in various contexts, such as forecasting and understanding post-COVID inflation dynamics. Revisions to the FRBC methodology have historically involved increasing the level of disaggregation in the CPI components, which has improved accuracy. Thus, it may seem logical that further disaggregation would continue to enhance its accuracy. However, we theoretically demonstrate that this may not necessarily be the case. We then explore the ...
Journal Article
Buy a home or rent? A better way to choose
Knowing whether buying a home is a better financial move for a family than renting requires a consideration of costs and options that people often neglect to factor in. One aspect of the calculation that is almost always overlooked is uncertainty--the fact that no matter how good one's estimates of the future are, the future can turn out differently than projected. Incorporating uncertainty into the rent-or-buy calculation gives potential homebuyers information that can improve their decisions. While incorporating uncertainty is complicated, it's made easier with the Cleveland Fed's online ...
Working Paper
Oil Price Fluctuations and US Banks
We document a sizable effect of oil price fluctuations on US banking variables by estimating an SVAR with sign restrictions as in Baumeister and Hamilton (2019). We find that oil market shocks that lead to a contraction in world economic activity unambiguously lower the amount of bank credit to the US economy, tend to decrease US banks' net worth, and tend to increase the US credit spread. The effects can be strong and long-lasting, or more modest and short-lived, depending on the source of the oil price fluctuations. The effects are stronger for smaller and lower leveraged banks.
Working Paper
Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach
We develop a flexible modeling framework to produce density nowcasts for US inflation at a trading-day frequency. Our framework: (1) combines individual density nowcasts from three classes of parsimonious mixed-frequency models; (2) adopts a novel flexible treatment in the use of the aggregation function; and (3) permits dynamic model averaging via the use of weights that are updated based on learning from past performance. Together these features provide density nowcasts that can accommodate non-Gaussian properties. We document the competitive properties of the nowcasts generated from our ...
Journal Article
Neutral Interest Rates and the Monetary Policy Stance
The neutral interest rate (r-star) is an important input in monetary policy discussions and is commonly used to assess the stance of monetary policy. This Economic Commentary presents estimates of the neutral interest rate from a recently developed model and provides a high-level description of this new model. With data through 2025:Q2, the model estimates the implied (medium-run) nominal neutral interest rate to be 3.7 percent, with a 68 percent coverage band ranging from 2.9 percent to 4.5 percent. Given that the effective nominal federal funds rate is currently in the range of 4.25 percent ...
Working Paper
A Unified Framework to Estimate Macroeconomic Stars
This paper develops a semi-structural model to jointly estimate “stars” — long-run levels of output (its growth rate), the unemployment rate, the real interest rate, productivity growth, price inflation, and wage inflation. It features links between survey expectations and stars, time-variation in macroeconomic relationships, and stochastic volatility. Survey data help discipline stars’ estimates and have been crucial in estimating a high-dimensional model since the pandemic. The model has desirable real-time properties, competitive forecasting performance, and superior fit to the ...
Working Paper
Are banks forward-looking in their loan loss provisioning? Evidence from the Senior Loan Officer Opinion Survey (SLOOS)
The purpose of this study is to empirically analyze if loan loss provisioning is forward-looking. Using a confidential dataset that directly helps us identify loan demand and loan supply at the bank level, we test if the banks? provisioning behavior is different before and after the crisis. We find, for the entire sample of banks, loan loss provisioning is forward-looking and statistically significant in the post-crisis period. Our results show that the top quartiles of banks in our dataset exhibit a forward-looking approach to loan loss provisioning both in the pre- and post-crisis period. ...
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.
Working Paper
A medium scale forecasting model for monetary policy
This paper presents a 16-variable Bayesian VAR forecasting model of the U.S. economy for use in a monetary policy setting. The variables that comprise the model are selected not only for their effectiveness in forecasting the primary variables of interest, but also for their relevance to the monetary policy process. In particular, the variables largely coincide with those of an augmented New-Keynesian DSGE model. We provide out-of sample forecast evaluations and illustrate the computation and use of predictive densities and fan charts. Although the reduced form model is the focus of the ...
Journal Article
Where would the federal funds rate be, if it could be negative?
In the wake of Great Recession, the Federal Reserve engaged in conventional monetary policy actions by reducing the federal funds rate. But soon the rate hit zero, and could go no lower. In such environments, policymakers still think in terms of where the federal funds rate should be, were it possible to go negative. To project the ?unconstrained path? of the funds rate?ignoring the zero lower bound?and to identify the key underlying shocks driving that path, we employ a statistical macroeconomic forecasting model. We find that the federal funds rate would have been extremely negative during ...