IDEAS home Printed from
   My bibliography  Save this paper

Identifying Technology Shocks in Models with Heterogeneous Inputs


  • Marcus Hagedorn

    (University of Zurich)

  • Iourii Manovskii

    (University of Pennsylvania)

  • Luigi Bocola

    (University of Pennsylvania)


We show that the key identifying assumptions underlying the existing approaches to identifying technology shocks in the data are violated in models with heterogeneous capital and labor. We propose a new method to identifying technology shocks in the data in presence of factor heterogeneity and prove its identification. We find that hours respond positively to positive technology shocks identified using the proposed procedure. The identified technology shocks account for a sizable fraction of the business cycle volatility in macroeconomic aggregates.

Suggested Citation

  • Marcus Hagedorn & Iourii Manovskii & Luigi Bocola, 2011. "Identifying Technology Shocks in Models with Heterogeneous Inputs," 2011 Meeting Papers 1393, Society for Economic Dynamics.
  • Handle: RePEc:red:sed011:1393

    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.


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

    Cited by:

    1. Marcus Hagedorn, 2011. "Comment on "The Cyclical Behavior of Equilibrium Unemployment and Vacancies in the U.S. and Europe"," NBER Chapters,in: NBER International Seminar on Macroeconomics 2011, pages 236-240 National Bureau of Economic Research, Inc.

    More about this item


    This item is featured on the following reading lists or Wikipedia pages:
    1. Canadian Macro Study Group


    Access and download statistics


    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:red:sed011:1393. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.