IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Accounting for Incomplete Pass-Through

  • Emi Nakamura
  • Dawit Zerom
Registered author(s):

    Recent theoretical work has suggested a number of potentially important factors in causing incomplete pass-through of exchange rates to prices, including markup adjustment, local costs and barriers to price adjustment. We empirically analyse the determinants of incomplete pass-through in the coffee industry. The observed pass-through in this industry replicates key features of pass-through documented in aggregate data: prices respond sluggishly and incompletely to changes in costs. We use microdata on sales and prices to uncover the role of markup adjustment, local costs and barriers to price adjustment in determining incomplete pass-through using a structural oligopoly model that nests all three potential factors. The implied pricing model explains the main dynamic features of short and long-run pass-through. Local costs reduce long-run pass-through (after six quarters) by 59% relative to a Constant Elasticity of Substitution benchmark. Markup adjustment reduces pass-through by an additional 33%, where the extent of markup adjustment depends on the estimated "super-elasticity" of demand. The estimated menu costs are small (0.23% of revenue) and have a negligible effect on long-run pass-through but are quantitatively successful in explaining the delayed response of prices to costs. We find that delayed pass-through in the coffee industry occurs almost entirely at the wholesale rather than the retail level. Copyright , Wiley-Blackwell.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://hdl.handle.net/10.1111/j.1467-937X.2009.589.x
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Oxford University Press in its journal The Review of Economic Studies.

    Volume (Year): 77 (2010)
    Issue (Month): 3 ()
    Pages: 1192-1230

    as
    in new window

    Handle: RePEc:oup:restud:v:77:y:2010:i:3:p:1192-1230
    Contact details of provider:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:oup:restud:v:77:y:2010:i:3:p:1192-1230. 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: (Oxford University Press)

    or (Christopher F. Baum)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.