Pricing models: a Bayesian DSGE approach to the U.S. economy
This paper compares and estimates three pricing mechanisms in the context of a small DSGE model of the U.S. economy. We interpret our results as favoring the pricing mechanism presented in Wolman (1999 Wolman model) over the New Keynesian model with indexation (Gali and Gertler 1999, Smets and Wouters 2004a) and the sticky information model of Mankiw and Reis (2002). The key factor that explains the performance of the Wolman model is that the data reject the key assumption of the New Keynesian model that the firm's probability of price change is constant over time and independent of the contract's vintage. Our results also show that incorporating indexation in the New Keynesian model represents a poor expedient in matching the autocorrelation function of the inflation process over the last 20 years. Copyright 2007 The Ohio State University.
(This abstract was borrowed from another version of this item.)
Volume (Year): (2005)
Issue (Month): ()
|Contact details of provider:|| Postal: 20th Street and Constitution Avenue, NW, Washington, DC 20551|
Web page: http://www.federalreserve.gov/
More information through EDIRC
|Order Information:|| Email: |
When requesting a correction, please mention this item's handle: RePEc:fip:fedgpr:y:2005:x:16. 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: (Kris Vajs)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.