IDEAS home Printed from https://ideas.repec.org/a/ksa/szemle/607.html
   My bibliography  Save this article

Makroelemzők inflációs várakozásai Magyarországon
[The inflationary expectations of macro analysts in Hungary]

Author

Listed:
  • Krekó, Judit
  • Vonnák, Balázs

Abstract

Tanulmányunkban a magyarországi professzionális inflációs előrejelzések értékelésére vállalkoztunk. A Reuters által végzett felmérés első hat éve alapján igazolódni látszik az az előzetes sejtés, miszerint az egyes makroelemzők előrejelzéseinek átlagolása csökkenti az átlagos előrejelzési hibát. Az előrejelzések átlaga torzítatlan becslése a tényinflációnak, azonban nem minden esetben tükrözi azonnal az új információkat. A hónapról hónapra változó minta és az egyes előrejelzők közti szóródás miatt a felmérés átlagának 0,1-0,2 százalékpontnál kisebb változásai csak kis valószínűséggel tulajdoníthatók a piaci inflációs várakozások tényleges megváltozásának. Háromszori egyirányú elmozdulás mögött ugyanakkor az esetek döntő többségében a várakozások tényleges megváltozása áll. Eredményeink alapján úgy ítéljük meg, hogy - tekintve egyfelől az adat könnyű elérhetőségét, másfelől kielégítő előrejelzési tulajdonságait - rövid távú (1-2 évre történő) inflációs tervezéshez optimális választás az előrejelzői konszenzus figyelembevétele. Journal of Economic Literature (JEL) kód: C32, C42, C52, D84, E31.

Suggested Citation

  • Krekó, Judit & Vonnák, Balázs, 2003. "Makroelemzők inflációs várakozásai Magyarországon [The inflationary expectations of macro analysts in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 315-334.
  • Handle: RePEc:ksa:szemle:607
    as

    Download full text from publisher

    File URL: http://www.kszemle.hu/tartalom/letoltes.php?id=607
    Download Restriction: Registration and subscription. 3-month embargo period to non-subscribers.
    ---><---

    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. Pesaran, M. Hashem & Shin, Y. & Smith, R.J., 1999. "Bounds Testing Approaches to the Analysis of Long-run Relationships," Cambridge Working Papers in Economics 9907, Faculty of Economics, University of Cambridge.
    2. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1996. "Testing for the 'Existence of a Long-run Relationship'," Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge.
    3. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1.
    4. repec:crs:wpaper:9645 is not listed on IDEAS
    5. Bewley, R. A., 1979. "The direct estimation of the equilibrium response in a linear dynamic model," Economics Letters, Elsevier, vol. 3(4), pages 357-361.
    6. Victor Zarnowitz & Phillip Braun, 1993. "Twenty-two Years of the NBER-ASA Quarterly Economic Outlook Surveys: Aspects and Comparisons of Forecasting Performance," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 11-94, National Bureau of Economic Research, Inc.
    7. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 293-318.
    8. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    9. Hasan Bakhshi & Anthony Yates, 1998. "Are UK inflation expectations rational?," Bank of England working papers 81, Bank of England.
    10. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    11. Dahl Christian M. & Hansen Niels L., 2001. "The Formation of Inflation Expectations under Changing Inflation Regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(4), pages 1-31, January.
    12. Gallo, Giampiero M. & Granger, Clive W.J. & Jeon, Yongil, 1999. "The Impact of the Use of Forecasts in Information Sets," University of California at San Diego, Economics Working Paper Series qt1w33d4b2, Department of Economics, UC San Diego.
    13. Yin-Wong Cheung & Menzie D. Chinn, 1999. "Are Macroeconomic Forecasts Informative? Cointegration Evidence from the ASA-NBER Surveys," NBER Working Papers 6926, National Bureau of Economic Research, Inc.
    14. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886.
    15. Andrea Brischetto & Gordon de Brouwer, 1999. "Householders’ Inflation Expectations," RBA Research Discussion Papers rdp1999-03, Reserve Bank of Australia.
    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. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    2. Rianne Legerstee & Philip Hans Franses, 2015. "Does Disagreement Amongst Forecasters Have Predictive Value?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(4), pages 290-302, July.
    3. Clements, Michael P., 2010. "Explanations of the inconsistencies in survey respondents' forecasts," European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
    4. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    5. Mills, Terence C. & Pepper, Gordon T., 1999. "Assessing the forecasters: an analysis of the forecasting records of the Treasury, the London Business School and the National Institute," International Journal of Forecasting, Elsevier, vol. 15(3), pages 247-257, July.
    6. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, University of Reading.
    7. Jalles, João Tovar, 2017. "On the rationality and efficiency of inflation forecasts: Evidence from advanced and emerging market economies," Research in International Business and Finance, Elsevier, vol. 40(C), pages 175-189.
    8. Scott Schuh, 2001. "An evaluation of recent macroeconomic forecast errors," New England Economic Review, Federal Reserve Bank of Boston, pages 35-56.
    9. Ottaviani, Marco & Sorensen, Peter Norman, 2006. "The strategy of professional forecasting," Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
    10. Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
    11. Jose A. Lopez, 2001. "Federal Reserve banks' imputed cost of equity capital," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue aug10.
    12. Edward J. Green & Jose A. Lopez & Zhenyu Wang, 2003. "Formulating the imputed cost of equity capital for priced services at Federal Reserve banks," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 55-81.
    13. Orphanides, Athanasios & Williams, John C., 2005. "The decline of activist stabilization policy: Natural rate misperceptions, learning, and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1927-1950, November.
    14. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
    15. Athanasios Orphanides & John C. Williams, 2007. "Inflation targeting under imperfect knowledge," Economic Review, Federal Reserve Bank of San Francisco, pages 1-23.
    16. Dean Croushore & Katherine Marsten, 2016. "Do GDP Forecasts Respond Efficiently to Changes in Interest Rates?," Working Papers 16-17, Federal Reserve Bank of Philadelphia.
    17. Anderson, Richard G. & Hoffman, Dennis L. & Rasche, Robert H., 2002. "A vector error-correction forecasting model of the US economy," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 569-598, December.
    18. Hansen, Bruce E., 2006. "Interval forecasts and parameter uncertainty," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 377-398.
    19. repec:lan:wpaper:470 is not listed on IDEAS
    20. Victor Zarnowitz, 1999. "Has the Business Cycle Been Abolished?," NBER Working Papers 6367, National Bureau of Economic Research, Inc.
    21. Orphanides, Athanasios, 2003. "Historical monetary policy analysis and the Taylor rule," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 983-1022, July.

    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
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:ksa:szemle:607. 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: Odon Sok (email available below). General contact details of provider: http://www.kszemle.hu .

    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.