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Working Paper
A Unified Framework to Estimate Macroeconomic Stars
We develop a flexible semi-structural time-series model to estimate jointly several macroeconomic "stars" — i.e., unobserved long-run equilibrium levels of output (and growth rate of output), the unemployment rate, the real rate of interest, productivity growth, the price inflation, and wage inflation. The ingredients of the model are in part motivated by economic theory and in part by the empirical features necessitated by the changing economic environment. Following the recent literature on inflation and interest rate modeling, we explicitly model the links between long-run survey ...
Journal Article
Are we engineering ourselves out of manufacturing jobs?
Since the 1970s, productivity growth in the manufacturing sector has outpaced the overall economy, yet the sector?s share of the workforce has declined dramatically. This leads us to ask if we are in fact engineering ourselves out of jobs. This Economic Commentary explores the relationship between productivity and employment and points out why this apparently straightforward relationship may be more complicated than it appears.
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 ...
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
Forecasting implications of the recent decline in inflation
Should the unanticipated slowing of inflation that has occurred since early 2012 raise doubts about the reliability of inflation forecasts? We answer this question by conducting a few exercises with a common macroeconomic forecasting model. Our results indicate that even though inflation turned out to be much lower than forecasted, it still fell well within a normal range of uncertainty, and most of the deviation from the original forecast was a response to other economic developments.
Journal Article
Cyclical versus Acyclical Inflation: A Deeper Dive
This Commentary builds on recent research separating the components of overall inflation into cyclical and acyclical categories, but it does so at a finer level of disaggregation than previous analyses to understand recent inflation developments in the two categories. The inflation rate among cyclically sensitive subcomponents, which comprise roughly 40 percent of overall core PCE inflation, has generally continued to firm in recent years in line with a strengthening labor market and has returned to near pre-Great Recession levels. By contrast, the inflation rate among the acyclical ...
Working Paper
Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting
Financial data often contain information that is helpful for macroeconomic forecasting, while multistep forecast accuracy also benefits by incorporating good nowcasts of macroeconomic variables. This paper considers the role of nowcasts of financial variables in making conditional forecasts of real and nominal macroeconomic variables using standard quarterly Bayesian vector autoregressions (BVARs). For nowcasting the quarterly value of a variety of financial variables, we document that the average of the available daily data and a daily random walk forecast to fill in the missing days in the ...
Working Paper
Improving the Median CPI: Maximal Disaggregation Isn't Necessarily Optimal
For decades, the Federal Reserve Bank of Cleveland (FRBC) has produced the Median Consumer Price Index (CPI). It has proven useful in various contexts, such as forecasting and understanding post-COVID inflation dynamics. Historically, revisions/improvements to the FRBC methodology have involved increasing the level of disaggregation in the CPI components. Thus, it may be reasonable to assume that further disaggregation improves the properties of the median CPI. We theoretically demonstrate: not necessarily. We then empirically explore the impact of further disaggregation by examining fifteen ...
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
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 ...