2011•Applied EconomicsRequires access

Examining the ability of core inflation to capture the overall trend of total inflation

Heather L. R. Tierney

Open publisher page 7 citations

Abstract

This article examines whether core inflation is able to predict the overall trend of total inflation using real-time data in a parametric and nonparametric framework. Specifically, two sample periods and five in-sample forecast horizons in two measures of inflation, which are the Personal Consumption Expenditure (PCE) and the Consumer Price Index (CPI), are used in the exclusions-from-core inflation persistence model. This article finds that core inflation is only able to capture the overall trend of total inflation for the 12-quarter in-sample forecast horizon using the CPI in both the parametric and nonparametric models in the longer sample period. The nonparametric model outperforms the parametric model for both data samples and for all five in-sample forecast horizons.

About this research paper

What this paper is about

This article examines whether core inflation is able to predict the overall trend of total inflation using real-time data in a parametric and nonparametric framework. Specifically, two sample periods and five in-sample forecast horizons in two measures of inflation, which are the Personal Consumption Expenditure (PCE) and the Consumer Price Index (CPI), are used in the exclusions-from-core inflation persistence model. This article finds that core inflation is only able to capture the overall trend of total inflation for the 12-quarter in-sample forecast horizon using the CPI in both the parametric and nonparametric models in the longer sample period. The nonparametric model outperforms the parametric model for both data samples and for all five in-sample forecast horizons.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This article examines whether core inflation is able to predict the overall trend of total inflation using real-time data in a parametric and nonparametric framework. Specifically, two sample periods and five in-sample forecast horizons in two measures of inflation, which are the Personal Consumption Expenditure (PCE) and the Consumer Price Index (CPI), are used in the exclusions-from-core inflation persistence model. This article finds that core inflation is only able to capture the overall trend of total inflation for the 12-quarter in-sample forecast horizon using the CPI in both the parametric and nonparametric models in the longer sample period. The nonparametric model outperforms the parametric model for both data samples and for all five in-sample forecast horizons.

Key concepts: Nonparametric statistics, Economics, Inflation (cosmology), Econometrics, Core inflation, Sample (material), Personal consumption expenditures price index, Index (typography)

Related papers

Back to paper searchBrowse research topicsOriginal source
Examining the ability of core inflation to capture the overall trend of total inflation — Research Paper | ScholarLens