IDEAS home Printed from https://ideas.repec.org/p/qed/wpaper/1214.html
   My bibliography  Save this paper

Identifying a Forward-Looking Monetary Policy in an Open Economy

Author

Listed:
  • Rokon Bhuiyan

    (QED)

Abstract

I identify a forward-looking monetary policy function in a structural VAR model by using forecasts of macroeconomic variables, in addition to the realized variables used in a standard VAR. Both impulse responses and variance decompositions of the monetary policy variable of this forecast-augmented VAR model suggest that forecasted variables play a greater role than realized variables in a central bank’s policy decisions. I also find that a contractionary policy shock instantaneously increases the market interest rate as well as the forecast of the market interest rate. The policy shock also appreciates both the British pound and the forecast of the pound on impact. On the other hand, the policy shock lowers expected inflation immediately, but affects realized inflation with a lag. When I estimate the standard VAR model encompassed in the forecast-augmented model, I find that a contractionary policy shock raises the inflation rate and leads to a gradual appreciation of the domestic currency. However, the inclusion of inflation expectations reverses this puzzling response of the inflation rate, and the inclusion of both the market interest rate forecast and the exchange rate forecast removes the delayed overshooting response of the exchange rate. These findings suggest that a standard VAR may incorrectly identify the monetary policy function.

Suggested Citation

  • Rokon Bhuiyan, 2009. "Identifying a Forward-Looking Monetary Policy in an Open Economy," Working Paper 1214, Economics Department, Queen's University.
  • Handle: RePEc:qed:wpaper:1214
    as

    Download full text from publisher

    File URL: http://qed.econ.queensu.ca/working_papers/papers/qed_wp_1214.pdf
    File Function: First version 2009
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

    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:qed:wpaper:1214. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.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.