Search Results
Using Core Inflation to Predict Headline Inflation
An analysis of CPI data suggests that a measure of inflation excluding food and energy and a measure excluding only energy are useful predictors of overall inflation 12 months in the future.
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. ...
Journal Article
Will a Cooler Labor Market Slow Supercore Inflation?
Given steady declines in price inflation for core goods and expectations that rent inflation will moderate over time, the outlook for nonhousing core services—or “supercore”—inflation has grown in importance. State-level data document a typically weak relationship between this indicator and unemployment rates, highlighting the stickiness of supercore inflation. The data show that its sensitivity to labor markets strengthened early in the pandemic recovery in connection with strong demand for service workers. However, it’s uncertain whether this sensitivity will remain heightened or ...
Journal Article
Is It Time to Add Food-at-Home Inflation to Measures of Core Inflation?
Since the mid-1970s, the Federal Reserve has used core inflation to examine trends in underlying inflation. Core inflation is considered a more stable measure as it excludes energy and food, historically viewed as the most volatile components of inflation. However, core inflation can be a challenge for central bankers to communicate, as food inflation is highly salient to consumers. We argue that food-at-home inflation has become less volatile over time and could be added to measures of core inflation with few drawbacks.
Journal Article
The New York Fed Staff Underlying Inflation Gauge (UIG)
A measure of underlying inflation that uses all relevant information, is available in real time, and forecasts inflation better than traditional underlying inflation measures?such as core inflation measures?would greatly benefit monetary policymakers, market participants, and the public. This article presents the New York Fed Staff Underlying Inflation Gauge (UIG) for the consumer price index and the personal consumption expenditures deflator. Using a dynamic factor model approach, the UIG is derived from a broad data set that extends beyond price series to include a wide range of nominal, ...
Skewness warrants caution as Trimmed Mean PCE inflation eases
Divergence of core and trimmed mean inflation readings prompt reassessment of which one is the best indicator of medium-term trend.
Working Paper
The role of commodity prices in forecasting U.S. core inflation
This note documents a curious finding about the substantial forecast ability of a simple aggregator of three commodity futures prices for U.S. core inflation. The proposed aggregator reduces the out-of-sample root mean squared error for 12-month-ahead inflation forecasts of the benchmark AR(1) model by 28 percent (20 percent) for the PCE (CPI) measure of core inflation. To avoid obfuscation of the sources of forecast ability, the model is intentionally kept simple, although extensions for improving and increasing the robustness of the forecast procedure are also discussed.
Discussion Paper
Inflation Persistence—An Update with December Data
This post presents an updated estimate of inflation persistence, following the release of personal consumption expenditure (PCE) price data for December 2022. The estimates are obtained by the Multivariate Core Trend (MCT), a model we introduced on Liberty Street Economics last year and covered most recently in a January post. The MCT is a dynamic factor model estimated on monthly data for the seventeen major sectors of the PCE price index. It decomposes each sector’s inflation as the sum of a common trend, a sector-specific trend, a common transitory shock, and a sector-specific transitory ...
Report
Measurement and Theory of Core Inflation
We discuss the concept of core inflation and its relevance for policymakers and then review a variety of approaches that have been pursued for the construction of informative core measures. After illustrating some empirical patterns displayed by U.S. inflation data and discussing conceptual issues around measurement, we provide a unified framework to interpret various widely used core measures and compare their relative properties.
Report
CONDI: a cost-of-nominal-distortions index
We construct a price index with weights for the prices of different PCE (personal consumption expenditures) goods chosen to minimize the welfare costs of nominal distortions. In this cost-of-nominal-distortions index (CONDI), the weights are computed in a multi-sector New Keynesian model with time-dependent price setting. The model is calibrated using U.S. data on the dispersion of price stickiness and labor shares across sectors. We find that the CONDI weights depend mostly on price stickiness and are less affected by the dispersion in labor shares. Moreover, CONDI stabilization closely ...