EconPapers    
Economics at your fingertips  
 

The FRBNY staff underlying inflation gauge: UIG

Marlene Amstad, Simon Potter and Robert Rich

No 672, Staff Reports from Federal Reserve Bank of New York

Abstract: Monetary policymakers and long-term investors would benefit greatly from 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. This paper presents the ?FRBNY Staff Underlying Inflation Gauge (UIG)? for CPI and PCE. 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, real, and financial variables. It also considers the specific and time-varying persistence of individual subcomponents of an inflation series. An attractive feature of the UIG is that it can be updated on a daily basis, which allows for a close monitoring of changes in underlying inflation. This capability can be very useful when large and sudden economic fluctuations occur, as at the end of 2008. In addition, the UIG displays greater forecast accuracy than traditional measures of core inflation.

Keywords: expectations; survey forecasts; imperfect information; term structure of disagreement (search for similar items in EconPapers)
JEL-codes: C13 C33 C43 E31 (search for similar items in EconPapers)
Date: 2014-04-22
New Economics Papers: this item is included in nep-cba, nep-for, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr672.pdf Full text (application/pdf)

Related works:
Working Paper: The FRBNY Staff Underlying Inflation Gauge: UIG (2014) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fip:fednsr:672

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Staff Reports from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().

 
Page updated 2025-03-31
Handle: RePEc:fip:fednsr:672