IDEAS home Printed from https://ideas.repec.org/p/cdf/wpaper/2015-13.html
   My bibliography  Save this paper

Professionals Forecast of the Inflation Gap and its Persistence

Author

Listed:

Abstract

The purpose of the present paper is to investigate perceived inflation gap persistence using actual data of professional forecasts. We derive the unobserved perceived inflation gap persistence and using a state dependent model we estimate the non-linear persistence coefficient of inflation gap. Our main result is that for GDP deflator inflation, the estimates of persistence largely confirm the results obtained indirectly using a linear model. However, when we look at CPI inflation, we find that there is strong evidence for state-dependence and time variation.

Suggested Citation

  • Easaw, Joshy & Heravi, Saeed & Dixon, Huw David, 2015. "Professionals Forecast of the Inflation Gap and its Persistence," Cardiff Economics Working Papers E2015/13, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2015/13
    as

    Download full text from publisher

    File URL: http://carbsecon.com/wp/E2015_13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monica Jain, 2019. "Perceived Inflation Persistence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 110-120, January.
    2. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
    3. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    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. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
    2. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    3. Carlos Carvalho & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2023. "Anchored Inflation Expectations," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 1-47, January.
    4. James M. Nason & Gregor W. Smith, 2021. "Measuring the slowly evolving trend in US inflation with professional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 1-17, January.
    5. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    6. Easaw, Joshy & Golinelli, Roberto, 2014. "Inflation Expectations and the Two Forms of Inattentiveness," Cardiff Economics Working Papers E2014/21, Cardiff University, Cardiff Business School, Economics Section.
    7. Benjamin Wong, 2015. "Do Inflation Expectations Propagate the Inflationary Impact of Real Oil Price Shocks?: Evidence from the Michigan Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(8), pages 1673-1689, December.
    8. Zhiyong Fan & Yushan Hu & Penglong Zhang, 2022. "Measuring China's core inflation for forecasting purposes: taking persistence as weight," Empirical Economics, Springer, vol. 63(1), pages 93-111, July.
    9. Onour , Ibrahim A., 2021. "Modeling and assessing systematic risk in stock markets in major oil exporting countries," Economic Consultant, Scientific and Educational Initiative LLC, vol. 35(3), pages 18-29.
    10. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    11. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    12. Pagliari, Maria Sole, 2024. "Does one (unconventional) size fit all? Effects of the ECB’s unconventional monetary policies on the euro area economies," European Economic Review, Elsevier, vol. 168(C).
    13. Gabriel Arce‐Alfaro & Boris Blagov, 2023. "Monetary Policy Uncertainty and Inflation Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 70-94, February.
    14. Ardakani Omid M. & Kishor N. Kundan, 2018. "Examining the success of the central banks in inflation targeting countries: the dynamics of the inflation gap and institutional characteristics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-19, February.
    15. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, March.
    16. Christian Bauer & Sebastian Weber, 2016. "The Efficiency of Monetary Policy when Guiding Inflation Expectations," Research Papers in Economics 2016-14, University of Trier, Department of Economics.
    17. George Kapetanios & Stephen Millard & Katerina Petrova & Simon Price, 2018. "Time varying cointegration and the UK great ratios," CAMA Working Papers 2018-53, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Mandalinci, Zeyyad, 2017. "Forecasting inflation in emerging markets: An evaluation of alternative models," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1082-1104.
    19. Timo Wollmershäuser & Wolfgang Nierhaus & Nikolay Hristov & Dorine Boumans & Marcell Göttert & Christian Grimme & S. Lauterbacher & Robert Lehmann & Wolfgang Meister & Andreas Peichl & Magnus Reif & F, 2017. "ifo Konjunkturprognose 2017/2018: Deutsche Wirtschaft stark und stabil," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(12), pages 30-83, June.
    20. Michael T. Kiley, 2008. "Monetary policy actions and long-run inflation expectations," Finance and Economics Discussion Series 2008-03, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Keywords

    Perceived Inflation Gaps; Professional s Survey-based Forecasts; State-Dependent Models;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:cdf:wpaper:2015/13. 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: Yongdeng Xu (email available below). General contact details of provider: https://edirc.repec.org/data/ecscfuk.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.