Modeling U.S. Inflation Dynamics: A Bayesian Nonparametric Approach
This paper uses an infinite hidden Markov model (IHMM) to analyze U.S. inflation dynamics with a particular focus on the persistence of inflation. The IHMM is a Bayesian nonparametric approach to modeling structural breaks. It allows for an unknown number of breakpoints and is a flexible and attractive alternative to existing methods. We found a clear structural break during the recent financial crisis. Prior to that, inflation persistence was high and fairly constant.
|Date of creation:||Jan 2010|
|Date of revision:|
|Contact details of provider:|| Postal: Via Patara, 3, 47921 Rimini (RN)|
Web page: http://www.rcfea.org
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rim:rimwps:03_10. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marco Savioli)
If references are entirely missing, you can add them using this form.