IDEAS home Printed from https://ideas.repec.org/p/sce/scecf5/251.html
   My bibliography  Save this paper

Demand Uncertainty and employment : A cross-country empirical examination

Author

Listed:
  • J-F Piferini

    (Département d'économie et de gestion université PARIS 8)

Abstract

I examine the impact of demand uncertainty on a firm's investment decisions. Recent theoretical work accounts for the degree of irreversibility of capital investment. Dixit and Pindyck deliver a clear prediction: an increase in uncertainty lowers current investment. With irreversible investment, uncertainty generates an "option value" to waiting, and investment is delayed in response to increased uncertainty. Similar considerations apply to a firm's hiring and firing decisions. For each of these kinds of decisions there are sunk costs, an uncertain environment, and some freedom of timing. In this study, I focus on the empirical evidence for the impact of demand uncertainty on employment. I use balanced panel data, annual from 1970 to 2000 for 17 countries: the 15 members of the European Union, the United States, and Japan. The results are broadly consistent with models that incorporate irreversibility of capital investment. I first estimate demand volatility using an ARCH specification. I then provide panel regression results, using a system generalized method of moments (GMM-sys) estimator, which suggest that the demand uncertainty has a significant negative impact on employment in these countries

Suggested Citation

  • J-F Piferini, 2005. "Demand Uncertainty and employment : A cross-country empirical examination," Computing in Economics and Finance 2005 251, Society for Computational Economics.
  • Handle: RePEc:sce:scecf5:251
    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.

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:scecf5:251. 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.