We use a Bayesian Markov Chain Monte Carlo algorithm to estimate the parameters of a “true” data-generating mechanism and those of a sequence of approximating models that a monetary authority uses to guide its decisions. Gaps between a true expectational Phillips curve and the monetary authority’s approximating nonexpectational Phillips curve models unleash inflation that a monetary authority that knows the true model would avoid. A sequence of dynamic programming problems implies that the monetary authority’s inflation target evolves as its estimated Phillips curve moves. Our estimates attribute the rise and fall of post- WWII inflation in the United States to an intricate interaction between the monetary authority’s beliefs and economic shocks. Shocks in the 1970s made the monetary authority perceive a tradeoff between inflation and unemployment which ignited big inflation. The monetary authority’s beliefs about the Phillips curve changed in ways that account for former Federal Reserve Chairman Paul Volcker’s conquest of U.S. inflation. (JEL E24, E31, E52, N12)
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Volume (Year): 96 (2006) Issue (Month): 4 (September) Pages: 1193-1224 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2004.
"Normalization in econometrics,"
Working Paper
2004-13, Federal Reserve Bank of Atlanta.
[Downloadable!]
Other versions:
James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007.
"Normalization in Econometrics,"
Econometric Reviews,
Taylor and Francis Journals, vol. 26(2-4), pages 221-252.
[Downloadable!] (restricted)
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.