IDEAS home Printed from https://ideas.repec.org/p/bca/bocawp/96-4.html
   My bibliography  Save this paper

Overnight Rate Innovations as a measure of monetary Policy Shocks in Vector Autoregressions

Author

Listed:
  • Jamie Armour
  • Walter Engert
  • Ben Fung

Abstract

The authors examine the Bank of Canada's overnight rate as a measure of monetary policy in vector autoregression (VAR) models.

Suggested Citation

  • Jamie Armour & Walter Engert & Ben Fung, 1996. "Overnight Rate Innovations as a measure of monetary Policy Shocks in Vector Autoregressions," Staff Working Papers 96-4, Bank of Canada.
    • Handle: RePEc:bca:bocawp:96-4
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2010/05/wp96-4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    2. Nathan S. Balke & Kenneth M. Emery, 1994. "Understanding the price puzzle," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q IV, pages 15-26.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    2. Cucciniello, Maria Chiara & Deleidi, Matteo & Levrero, Enrico Sergio, 2022. "The cost channel of monetary policy: The case of the United States in the period 1959–2018," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 409-433.
    3. Choi, Jae-Young & Ratti, Ronald A., 2000. "The Predictive Power of Alternative Indicators of Monetary Policy," Journal of Macroeconomics, Elsevier, vol. 22(4), pages 581-610, October.
    4. Chauvet, Marcelle & Tierney, Heather L. R., 2007. "Real Time Changes in Monetary Policy," MPRA Paper 16199, University Library of Munich, Germany, revised Apr 2009.
    5. Kui-Wai Li, 2013. "The US monetary performance prior to the 2008 crisis," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3450-3461, August.
    6. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    7. Filippo Occhino, 2001. "Monetary Policy Shocks in an Economy with Segmented Markets," Departmental Working Papers 200108, Rutgers University, Department of Economics.
    8. Brissimis, Sophocles N. & Kamberoglou, Nicos C. & Simigiannis, George T., 2001. "Is there a bank lending channel of monetary policy in Greece? Evidence from bank level data," Working Paper Series 104, European Central Bank.
    9. Sandra Eickmeier & Boris Hofmann & Andreas Worms, 2009. "Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area," German Economic Review, Verein für Socialpolitik, vol. 10(2), pages 193-223, May.
    10. Francisco de Castro, 2006. "The macroeconomic effects of fiscal policy in Spain," Applied Economics, Taylor & Francis Journals, vol. 38(8), pages 913-924.
    11. Lloyd, S. P., 2017. "Unconventional Monetary Policy and the Interest Rate Channel: Signalling and Portfolio Rebalancing," Cambridge Working Papers in Economics 1735, Faculty of Economics, University of Cambridge.
    12. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    13. Xavier Ragot, 2005. "A theory of low inflation in a non Ricardian economy with credit constraints," PSE Working Papers halshs-00590788, HAL.
    14. Croushore, Dean & Evans, Charles L., 2006. "Data revisions and the identification of monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1135-1160, September.
    15. Peydró, José-Luis & Jasova, Martina & Mendicino, Caterina & Panetti, Ettore & Supera, Dominik, 2021. "Monetary Policy, Labor Income Redistribution and the Credit Channel: Evidence from Matched Employer-Employee and Credit Registe," CEPR Discussion Papers 16549, C.E.P.R. Discussion Papers.
    16. Chetan Dave & Scott J. Dressler & Lei Zhang, 2020. "Bank Lending, Monetary Policy Transmission, and Interest on Excess Reserves: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 44, Villanova School of Business Department of Economics and Statistics.
    17. Jose A. Zabala & Maria A. Prats, 2020. "The unconventional monetary policy of the European Central Bank: Effectiveness and transmission analysis," The World Economy, Wiley Blackwell, vol. 43(3), pages 794-809, March.
    18. Virginie Coudert & Benoît Mojon, 1997. "Asymétries financières et transmission de la politique monétaire en Europe," Économie et Prévision, Programme National Persée, vol. 128(2), pages 41-60.
    19. Dickinson, David & Liu, Jia, 2007. "The real effects of monetary policy in China: An empirical analysis," China Economic Review, Elsevier, vol. 18(1), pages 87-111.
    20. Fan, Longzhen & Yu, Yihong & Zhang, Chu, 2011. "An empirical evaluation of China's monetary policies," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 358-371, June.

    More about this item

    Keywords

    REGRESSION ANALYSIS; TIME SERIES; ECONOMIC MODELS;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:bca:bocawp:96-4. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.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.