A quantitative comparison of sticky-price and sticky-information models of price setting

Michael Kiley

No 2006-45, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: I estimate sticky-price and sticky-information models of price setting for the United States via maximum-likelihood techniques, reaching several conclusions. First, the sticky-price model fits best, and captures inflation dynamics as well as reduced-form equations once hybrid-behavior is allowed. Second, the importance of hybrid behavior in sticky-price models is potentially consistent with a role for some information imperfections, such as sticky information, as a complement to nominal price rigidities. Finally, the favorable results herein for the hybrid sticky-price model when evaluated by statistics that summarize the relative fit of different models is consistent with the existing literature that is both supportive and dismissive of such models, as this literature has largely ignored fit in evaluating such models. Many previous studies have focused on ancillary issues, such as the standard errors associated with certain parameters or Granger-causality tests that may not provide much information about sticky-price models.

Keywords: Phillips curve; Inflation (Finance); Econometric models (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-cba and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)

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Related works:
Journal Article: A Quantitative Comparison of Sticky-Price and Sticky-Information Models of Price Setting (2007)
Journal Article: A Quantitative Comparison of Sticky‐Price and Sticky‐Information Models of Price Setting (2007)
Journal Article: A quantitative comparison of sticky-price and sticky-information models of price setting (2005)
Working Paper: A QUANTITATIVE COMPARISON OF STICKY-PRICE AND STICKY-INFORMATION MODELS OF PRICE SETTING (2005)
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