IDEAS home Printed from https://ideas.repec.org/p/fip/feddgw/70.html

Exchange rate pass-through: evidence based on vector autoregression with sign restrictions

Author

Listed:
  • Lian An
  • Jian Wang

Abstract

We estimate exchange rate pass-through (PT) into import, producer and consumer price indexes for nine OECD countries, using a method proposed by Uhlig (2005). In a Vector Autoregression (VAR) model, we identify the exchange rate shock by imposing restrictions on the signs of impulse responses for a small subset of variables. These restrictions are consistent with a large class of theoretical models and previous empirical findings. We find that exchange rate PT is less than one at both short and long horizons. Among three price indexes, exchange rate PT is greatest for import price index and smallest for consumer price index. In addition, greater exchange rate PT is found in an economy which has a smaller size, higher import share, more persistent exchange rate, more volatile monetary policy, higher inflation rate, and less volatile aggregate demand.

Suggested Citation

  • Lian An & Jian Wang, 2011. "Exchange rate pass-through: evidence based on vector autoregression with sign restrictions," Globalization Institute Working Papers 70, Federal Reserve Bank of Dallas.
  • Handle: RePEc:fip:feddgw:70
    Note: Published as: An, Lisa and Jian Wang (2012), "Exchange Rate Pass-through: Evidence Based on Vector Autoregression with Sign Restrictions," Open Economies Review 23 (2): 359-380.
    as

    Download full text from publisher

    File URL: https://www.dallasfed.org/-/media/documents/research/international/wpapers/2011/0070.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fip:feddgw:70. 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: Amy Chapman (email available below). General contact details of provider: https://edirc.repec.org/data/frbdaus.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.