IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/9717.html
   My bibliography  Save this paper

Asymmetric Adjustment Costs, Asymmetric Pricing and Employment: Evidence from the UK

Author

Listed:

Abstract

This paper uses an asymmetric multivariate model to investigate asymmetries in employment and pricing behaviour by firms. This generalises the approach of Granger and Lee (1989) and also exploits the cross-equation restrictions on the equations for prices and employment implied by a restricted cost function - the dual to a Cobb-Douglas production function. The results suggest that both prices and employment respond asymmetrically to shocks to costs and demand.

Suggested Citation

  • Arden, R. & Holly, S. & Turner, P., 1997. "Asymmetric Adjustment Costs, Asymmetric Pricing and Employment: Evidence from the UK," Cambridge Working Papers in Economics 9717, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:9717
    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 search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cook, Steven & Holly, Sean & Turner, Paul, 1999. "The power of tests for non-linearity: the case of Granger-Lee asymmetry," Economics Letters, Elsevier, vol. 62(2), pages 155-159, February.
    2. Michael Arghyrou & Christopher Martin & Costas Milas, 2005. "Non-linear inflationary dynamics: evidence from the UK," Oxford Economic Papers, Oxford University Press, vol. 57(1), pages 51-69, January.
    3. Sean Holly & Paul Turner & Melvyn Weeks, 2003. "Asymmetric Adjustment and Bias in Estimation of an Equilibrium Relationship from a Cointegrating Regression," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 195-202, June.
    4. Steven Cook, 2000. "Frequency domain and time series properties of asymmetric error correction terms," Applied Economics, Taylor & Francis Journals, vol. 32(3), pages 297-304.
    5. Christopher Martin & Michael Arghyrou & Costas Milas, 2004. "Nonlinear inflation dynamics: evidence from the UK," Money Macro and Finance (MMF) Research Group Conference 2003 59, Money Macro and Finance Research Group.

    More about this item

    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:cam:camdae:9717. 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: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    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.