IDEAS home Printed from https://ideas.repec.org/p/sce/scecf4/291.html

A Search for a Structural Phillips Curve

Author

Listed:
  • Argia M. Sbordone
  • Timothy Cogley

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.

Suggested Citation

  • Argia M. Sbordone & Timothy Cogley, 2004. "A Search for a Structural Phillips Curve," Computing in Economics and Finance 2004 291, Society for Computational Economics.
  • Handle: RePEc:sce:scecf4:291
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecf4:291. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.