IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2017y2017i4id1153p424-439.html
   My bibliography  Save this article

Reakční funkce Evropské centrální banky
[The Reaction Function of the European Central Bank]

Author

Listed:
  • Ondřej Čížek

Abstract

The forecast-based reaction function of the European Central Bank (ECB) is estimated in this paper and the change in the monetary policy regime is discussed in the context of the current economic crisis. ECB/Eurosystem staff projections database is utilized in order to estimate the rule. The advantage of using this database is demonstrated by comparing the results of econometric estimation utilizing these data on projections with the results obtained by popular method of using future values as proxies for expectations. This popular method is shown to be inadequate in this paper not only by econometric verification of alternative forms of the estimated reaction function. Its inadequacy is demonstrated also by analyzing statistical properties of the time series and by showing that standard econometric assumptions do not hold when using future values as proxies for expectations. It is further shown that current values are more suitable proxies for expectations than values actually observed in the future. This fact provides an answer to the question analyzed recently by Arlt, Mandel (2012), (2014) who investigated how is it possible that simple backward-looking rules perform extremely well when describing forward-looking behavior of central banks.

Suggested Citation

  • Ondřej Čížek, 2017. "Reakční funkce Evropské centrální banky [The Reaction Function of the European Central Bank]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(4), pages 424-439.
  • Handle: RePEc:prg:jnlpol:v:2017:y:2017:i:4:id:1153:p:424-439
    DOI: 10.18267/j.polek.1153
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1153.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1153.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.1153?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    2. Filip Novotný & Marie Raková, 2011. "Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 348-366, August.
    3. Yash P. Mehra, 1999. "A forward-looking monetary policy reaction function," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 33-54.
    4. Jaromír Kukal & Tran Van Quang, 2011. "Modelování měnově politické úrokové míry ČNB neuronovými sítěmi [Modeling the CNB's Monetary Policy Interest Rate by Artificial Neural Networks]," Politická ekonomie, Prague University of Economics and Business, vol. 2011(6), pages 810-829.
    5. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.
    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. Christophe Blot & Paul Hubert & Fabien Labondance, 2017. "Does monetary policy generate asset price bubbles ?," SciencePo Working papers Main hal-03471824, HAL.
    2. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," SciencePo Working papers Main hal-03459227, HAL.
    3. Josef Arlt & Martin Mandel, 2012. "Je možné předpovídat repo sazbu ČNB na základě zpět hledícího měnového pravidla? [Is it Possible to Predict the CNB Repo Rate on the Basis of the Backward-Looking Monetary Rule?]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(4), pages 484-504.
    4. Saad Ahmad, 2020. "Identifying a robust policy rule for the Fed's response to financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 565-578, October.
    5. Ambrose, Brent W. & Coulson, N. Edward & Yoshida, Jiro, 2018. "Reassessing Taylor rules using improved housing rent data," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 243-257.
    6. Jens Klose, 2021. "Daily Monetary Policy Rules and the ECB's Medium-Term Orientation," MAGKS Papers on Economics 202129, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Robert Tchaidze & Alina Carare, 2004. "The Use and Abuse of Taylor Rules: How precisely can we estimate them?," Econometric Society 2004 Latin American Meetings 132, Econometric Society.
    8. Christophe Blot & Paul Hubert & Fabien Labondance, 2018. "Monetray policy and asset price bubbles," Working Papers hal-03471562, HAL.
    9. Maritta Paloviita & Markus Haavio & Pirkka Jalasjoki & Juha Kilponen, 2021. "What Does "Below, but Close to, 2 Percent" Mean? Assessing the ECB's Reaction Function with Real-Time Data," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 125-169, June.
    10. Floro, Danvee & van Roye, Björn, 2017. "Threshold effects of financial stress on monetary policy rules: A panel data analysis," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 599-620.
    11. Bruno Albuquerque, 2019. "One Size Fits All? Monetary Policy and Asymmetric Household Debt Cycles in U.S. States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1309-1353, August.
    12. Ansgar Belke & Jens Klose, 2019. "Forecasting ECB Policy Rates with Different Monetary Policy Rules," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(3), pages 238-252, June.
    13. Donato Masciandaro, 2023. "How Elastic and Predictable Money Should Be: Flexible Monetary Policy Rules from the Great Moderation to the New Normal Times (1993-2023)," BAFFI CAREFIN Working Papers 23196, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    14. repec:hal:spmain:info:hdl:2441/4evh7bju58uep3gd1frcn5nr9 is not listed on IDEAS
    15. repec:hal:spmain:info:hdl:2441/2geqol5jud8hgonsak4roj21gh is not listed on IDEAS
    16. Virmani, Vineet, 2004. "Operationalising Taylor-type Rules for the Indian Economy: Issues and Some Results (1992Q3 2001Q4)," IIMA Working Papers WP2004-07-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    17. Paul Hubert & Fabien Labondance, 2016. "Central Bank Sentiment and Policy Expectations," Working Papers hal-03471878, HAL.
    18. Marco J. Lombardi & Feng Zhu, 2018. "A Shadow Policy Rate to Calibrate U.S. Monetary Policy at the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 14(5), pages 305-346, December.
    19. Hamza Bennani, 2016. "Measuring Monetary Policy Stress for Fed District Representatives," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 156-176, May.
    20. repec:hal:spmain:info:hdl:2441/64veevce0i99oav223j3pkv1hf is not listed on IDEAS
    21. Klose, Jens, 2023. "Estimated monetary policy rules for the ECB with granular variations of forecast horizons for inflation and output," Economic Modelling, Elsevier, vol. 127(C).
    22. Paloviita, Maritta & Haavio, Markus & Jalasjoki, Pirkka & Kilponen, Juha, 2017. "What does "below, but close to, two percent" mean? Assessing the ECB's reaction function with real time data," Bank of Finland Research Discussion Papers 29/2017, Bank of Finland.
    23. repec:hal:spmain:info:hdl:2441/3eg9t5b1sb8phpnt79jr73qjr7 is not listed on IDEAS
    24. Jung, Alexander, 2018. "Does McCallum’s rule outperform Taylor’s rule during the financial crisis?," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 9-21.

    More about this item

    Keywords

    monetary policy; reaction function; backward-looking; forward-looking; forecast-based; rational expectations; shadow rate;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:prg:jnlpol:v:2017:y:2017:i:4:id:1153:p:424-439. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.