EconPapers    
Economics at your fingertips  
 

A Search for a Structural Phillips Curve

Argia Sbordone and Timothy Cogley (tim.cogley@nyu.edu)

No 291, Computing in Economics and Finance 2004 from Society for Computational Economics

Abstract: The central piece of the New Keynesian Phillips curve is a model of price setting with nominal rigidities that implies that the dynamics of inflation is well explained by the evolution of real marginal costs. The objective of this paper is to analyze whether this model of inflation dynamics has the nature of a structurally invariant relationship. To assess this, we first analyze an unrestricted time series representation of the joint process of inflation and unit labor costs (or labor share), and present evidence that their joint dynamics is well represented by a time series model with drifting coefficients and volatilities. We do this by applying the methodology used in different multivariate contexts by Cogley (2003) and Cogley-Sargent (2002, 2003). Then we apply a two-step minimum distance estimator: taking as given the estimated unrestricted time series representation, we estimate the parameters of the inflation model by minimizing a quadratic function of the restrictions that the inflation model imposes on the unrestricted time-varying representation. If it is possible to fit an inflation model with constant parameters to a drifting time series representation, we argue that the sticky price model has the nature of a true structural Phillips curve.

Keywords: Inflation dynamics; Phillips curve; structural stability. (search for similar items in EconPapers)
JEL-codes: C22 E3 (search for similar items in EconPapers)
Date: 2004-08-11
References: Add references at CitEc
Citations: View citations in EconPapers (21)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: A Search for a Structural Phillips Curve* (2005) Downloads
Working Paper: A search for a structural Phillips curve (2005) Downloads
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:sce:scecf4:291

Access Statistics for this paper

More papers in Computing in Economics and Finance 2004 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum (baum@bc.edu).

 
Page updated 2025-03-31
Handle: RePEc:sce:scecf4:291