A Local Examination for Persistence in Exclusions-from-Core Measures of Inflation Using Real-Time Data
AbstractUsing parametric and nonparametric methods, inflation persistence is examined through the relationship between exclusions-from-core inflation and total inflation for two sample periods and in five in-sample forecast horizons ranging from one quarter to three years over fifty vintages of real-time data in two measures of inflation: personal consumption expenditure and the consumer price index. Unbiasedness is examined at the aggregate and local levels. A local nonparametric hypothesis test for unbiasedness is developed and proposed for testing the local conditional nonparametric regression estimates, which can be vastly different from the aggregated nonparametric model. This paper finds that the nonparametric model outperforms the parametric model for both data samples and for all five in-sample forecast horizons.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 13089.
Date of creation: 30 Jan 2009
Date of revision:
Real-Time Data; Local Estimation; Nonparametrics; Inflation Persistence; Monetary Policy;
Other versions of this item:
- Tierney, Heather L.R., 2009. "A Local Examination for Persistence in Exclusions-from-Core Measures of Inflation Using Real-Time Data," MPRA Paper 13383, University Library of Munich, Germany, revised 03 Feb 2009.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
- E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-02-07 (All new papers)
- NEP-CBA-2009-02-07 (Central Banking)
- NEP-MAC-2009-02-07 (Macroeconomics)
- NEP-MON-2009-02-07 (Monetary Economics)
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