IDEAS home Printed from https://ideas.repec.org/a/rfa/aefjnl/v4y2017i3p77-88.html
   My bibliography  Save this article

The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same?

Author

Listed:
  • Johanna Amberger
  • Ralf Fendel

Abstract

To determine whether the sensitivity of inflation to changes in the business cycle varies over time, hybrid new Keynesian Phillips curves are formulated in state space form and estimated via the Kalman filter. Analyses cover the Euro Area aggregate and eleven Euro Area countries. Results confirm the increasingly important role of inflation expectations. While the Phillips curve flattens until 2007, slope coefficients increase considerably with the financial crisis in 2007/08 on the basis of output gaps. Nonetheless, stable or decreasing slope coefficients are observed on the basis of unemployment gaps, indicating strong dependence on the driving variable used in estimations. Overall, differences in cross-country Phillips curve parameters are decreasing, indicating a convergence of Euro Area countries' inflation dynamics since 1990.

Suggested Citation

  • Johanna Amberger & Ralf Fendel, 2017. "The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same?," Applied Economics and Finance, Redfame publishing, vol. 4(3), pages 77-88, May.
    • Handle: RePEc:rfa:aefjnl:v:4:y:2017:i:3:p:77-88
    as

    Download full text from publisher

    File URL: http://redfame.com/journal/index.php/aef/article/view/2296/2512
    Download Restriction: no
    File URL: http://redfame.com/journal/index.php/aef/article/view/2296
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
    2. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    3. repec:zbw:bofrdp:2014_031 is not listed on IDEAS
    4. José Luis Montiel Olea & Carolin Pflueger, 2013. "A Robust Test for Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 358-369, July.
    5. Maral Kichian, 2001. "On the Nature and the Stability of the Canadian Phillips Curve," Staff Working Papers 01-4, Bank of Canada.
    6. A. Stevens, 2013. "What inflation developments reveal about the Phillips curve: implications for monetary policy," Economic Review, National Bank of Belgium, issue iii, pages 67-76, December.
    7. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    8. Marianna Riggi & Fabrizio Venditti, 2014. "Surprise! Euro area inflation has fallen," Questioni di Economia e Finanza (Occasional Papers) 237, Bank of Italy, Economic Research and International Relations Area.
    9. Julio Blanco & Isaac Baley, 2013. "Learning to Price," 2013 Meeting Papers 663, Society for Economic Dynamics.
    10. repec:zbw:bofism:2008_040 is not listed on IDEAS
    11. Gary Koop & Luca Onorante, 2011. "Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters," Working Papers 1109, University of Strathclyde Business School, Department of Economics.
    12. Marianna Riggi & Fabrizio Venditti, 2015. "Failing to Forecast Low Inflation and Phillips Curve Instability: A Euro-Area Perspective," International Finance, Wiley Blackwell, vol. 18(1), pages 47-68, March.
    13. repec:zbw:bofrdp:2008_016 is not listed on IDEAS
    14. Matheson, Troy & Stavrev, Emil, 2013. "The Great Recession and the inflation puzzle," Economics Letters, Elsevier, vol. 120(3), pages 468-472.
    15. repec:bde:journl:v:07-08:y:2013:p:09 is not listed on IDEAS
    16. Joseph S. Vavra, 2014. "Time-Varying Phillips Curves," NBER Working Papers 19790, National Bureau of Economic Research, Inc.
    17. Luis Julián Álvarez & Alberto Urtasun, 2013. "Variation in the cyclical sensitivity of Spanish inflation: an initial approximation," Economic Bulletin, Banco de España, issue JUL, pages 11-17, July-Augu.
    18. repec:zbw:bofrdp:2013_006 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2021. "Domestic and Global Determinants of Inflation: Evidence from Expectile Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 982-1001, August.
    2. Hsien-Ming Chou & Tsai-Lun Cho, 2020. "Effects of Slope Coefficients and Bollinger Bands on Short-term Investment," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 10(2), pages 1-7.
    3. Johannes Schuffels & Clemens Kool & Lenard Lieb & Tom van Veen, 2022. "Is the Slope of the Euro Area Phillips Curve Steeper than It Seems? Heterogeneity and Identification," CESifo Working Paper Series 10103, CESifo.

    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. Johanna Amberger & Ralf Fendel, 2017. "Understanding inflation dynamics in the Euro Area: deviants and commonalities across member countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 261-293, May.
    2. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    3. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    4. Szafranek, Karol, 2017. "Flattening of the New Keynesian Phillips curve: Evidence for an emerging, small open economy," Economic Modelling, Elsevier, vol. 63(C), pages 334-348.
    5. Sune Karlsson & Pär Österholm, 2020. "A note on the stability of the Swedish Phillips curve," Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
    6. N. Cordemans & J. Wauters, 2018. "Are inflation and economic activity out of sync in the euro area?," Economic Review, National Bank of Belgium, issue i, pages 79-96, June.
    7. Luis J. Álvarez & Isabel Sánchez, 2017. "A suite of inflation forecasting models," Occasional Papers 1703, Banco de España.
    8. Andrejs Bessonovs & Olegs Tkacevs, 2016. "Relationship Between Inflation and Economic Activity and Its Variation Over Time in Latvia," Working Papers 2016/03, Latvijas Banka.
    9. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    10. Campbell Leith & Jim Malley, 2007. "A Sectoral Analysis of Price-Setting Behavior in U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 335-342, May.
    11. Andrea Boitani & Salvatore Perdichizzi & Chiara Punzo, 2022. "Nonlinearities and expenditure multipliers in the Eurozone [Tales of fiscal adjustment]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 552-575.
    12. Gergely Ganics & Atsushi Inoue & Barbara Rossi, 2021. "Confidence Intervals for Bias and Size Distortion in IV and Local Projections-IV Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 307-324, January.
    13. Daniel J. Lewis & Karel Mertens, 2022. "Dynamic Identification Using System Projections on Instrumental Variables," Working Papers 2204, Federal Reserve Bank of Dallas, revised 06 Oct 2023.
    14. Fernando Borraz & Diego Gianelli, 2010. "Un análisis de comportamiento a nivel de agente de la encuesta de expectativas de inflación del BCU," Documentos de trabajo 2010001, Banco Central del Uruguay.
    15. Oinonen, Sami & Paloviita, Maritta & Vilmi, Lauri, 2013. "How have inflation dynamics changed over time? Evidence from the euro area and USA," Bank of Finland Research Discussion Papers 6/2013, Bank of Finland.
    16. Lanne, Markku & Luoto, Jani, 2013. "Autoregression-based estimation of the new Keynesian Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 561-570.
    17. Hiroyuki Kawakatsu, 2021. "Information in daily data volatility measurements," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1642-1656, April.
    18. Bertille Antoine & Otilia Boldea, 2015. "Efficient Inference with Time-Varying Information and the New Keynesian Phillips Curve," Discussion Papers dp15-04, Department of Economics, Simon Fraser University, revised 25 Aug 2016.
    19. Giselle Montamat & James H. Stock, 2020. "Quasi-experimental estimates of the transient climate response using observational data," Climatic Change, Springer, vol. 160(3), pages 361-371, June.
    20. Carlos A. Medel, 2018. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," International Economic Journal, Taylor & Francis Journals, vol. 32(3), pages 331-371, July.

    More about this item

    Keywords

    time-varying Phillips curve; inflation dynamics; output gap; unemployment gap;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:rfa:aefjnl:v:4:y:2017:i:3:p:77-88. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.