Measuring the Slowly Evolving Trend in US Inflation with Professional Forecasts
James Nason and
Gregor Smith
No 274641, Queen's Economics Department Working Papers from Queen's University - Department of Economics
Abstract:
Much research studies US inflation history with a trend-cycle model with unobserved components. A key feature of this model is that the trend may be viewed as the Fed’s evolving inflation target or long-horizon expected inflation. We provide a new way to measure the slowly evolving trend and the cycle (or inflation gap), based on forecasts from the Survey of Professional Forecasters. These forecasts may be treated either as rational expectations or as adjusting to those with sticky information. We find considerable evidence of inflation-gap persistence and some evidence of implicit sticky information. But statistical tests show we cannot reconcile these two widely used perspectives on US inflation and professional forecasts, the unobserved-components model and the sticky-information model.
Keywords: Financial Economics; International Development (search for similar items in EconPapers)
Pages: 44
Date: 2013-10
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/274641/files/qed_wp_1316.pdf (application/pdf)
Related works:
Journal Article: Measuring the slowly evolving trend in US inflation with professional forecasts (2021) 
Working Paper: Measuring the Slowly Evolving Trend in US Inflation with Professional Forecasts (2014) 
Working Paper: Measuring The Slowly Evolving Trend In Us Inflation With Professional Forecasts (2013) 
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:ags:quedwp:274641
DOI: 10.22004/ag.econ.274641
Access Statistics for this paper
More papers in Queen's Economics Department Working Papers from Queen's University - Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().