Testing the Sticky Information Phillips Curve
Olivier Coibion
No 61, Working Papers from Department of Economics, College of William and Mary
Abstract:
I consider the empirical evidence for the sticky information model of Mankiw and Reis (2002) relative to the basic sticky price model, conditional on historical measures of inflation forecasts. Overall, the evidence is unfavorable to the sticky information model of price-setting: the estimated structural parameters are inconsistent with an underlying sticky information model and the sticky-information Phillips Curve is statistically dominated by the New Keynesian Phillips Curve. I find that the poor performance of the sticky information approach is driven by two key elements. First, predicted inflation in the sticky information model places substantial weight on old forecasts of inflation. Because these consistently underestimate inflation in the 1970s and overestimate inflation since the 1980s, particularly at long forecast horizons, predicted inflation from the sticky information model inherits these patterns. Second, predicted inflation from the sticky information model is excessively smooth.
Keywords: Sticky Information; Expectations; Inflation (search for similar items in EconPapers)
JEL-codes: E30 E37 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2007-10-21
New Economics Papers: this item is included in nep-cba and nep-mac
References: Add references at CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://economics.wm.edu/wp/cwm_wp61.pdf (application/pdf)
Related works:
Journal Article: Testing the Sticky Information Phillips Curve (2010) 
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:cwm:wpaper:61
Access Statistics for this paper
More papers in Working Papers from Department of Economics, College of William and Mary Contact information at EDIRC.
Bibliographic data for series maintained by Daifeng He ( this e-mail address is bad, please contact ) and Alfredo Pereira ().