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Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters

Author

Listed:
  • Gary Koop

    (Department of Economics, University of Strathclyde)

  • Luca Onorante

    (European Central Bank)

Abstract

This paper uses forecasts from the European Central Bank?s Survey of Professional Forecasters to investigate the relationship between inflation and inflation expectations in the euro area. We use theoretical structures based on the New Keynesian and Neoclassical Phillips curves to inform our empirical work. Given the relatively short data span of the Survey of Professional Forecasters and the need to control for many explanatory variables,we use dynamic model averaging in order to ensure a parsimonious econometric specification. We use both regression-based and VAR-based methods. We find no support for the backward looking behavior embedded in the Neo-classical Phillips curve. Much more support is found for the forward looking behavior of the New Keynesian Phillips curve, but most of this support is found after the beginning of the financial crisis.

Suggested Citation

  • 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.
  • Handle: RePEc:str:wpaper:1109
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    References listed on IDEAS

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    Cited by:

    1. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    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. Croonenbroeck, Carsten & Stadtmann, Georg, 2012. "Evaluating Phillips curve based inflation forecasts in Europe: A note," Discussion Papers 329, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    4. 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.
    5. Chletsos, Michael & Drosou, Vasiliki & Roupakias, Stelios, 2016. "Can Phillips curve explain the recent behavior of inflation? Further evidence from USA and Canada," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 20-28.
    6. Guérin, Pierre & Leiva-Leon, Danilo, 2017. "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, vol. 157(C), pages 45-49.
    7. López Pérez, Víctor, 2015. "Do professional forecasters behave as if they believed in the new Keynesian Phillips Curve for the euro area?," Working Paper Series 1763, European Central Bank.
    8. 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.
    9. Moretti, Laura & Onorante, Luca & Zakipour-Saber, Shayan, 2019. "Phillips curves in the euro area," Research Technical Papers 8/RT/19, Central Bank of Ireland.
    10. 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.
    11. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
    12. Oinonen, Sami & Paloviita, Maritta & Vilmi, Lauri, 2013. "How have inflation dynamics changed over time? : Evidence from the euro area and USA," Research Discussion Papers 6/2013, Bank of Finland.
    13. repec:zbw:bofrdp:2013_006 is not listed on IDEAS
    14. Mohammed Saiful Islam & Riduanul Mustafa, 2017. "Quest for a Valid Phillips Curve in the Long Run: An Empirical Approach," International Business Research, Canadian Center of Science and Education, vol. 10(4), pages 191-198, April.
    15. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    16. Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
    17. Schleer, Frauke & Kappler, Marcus, 2014. "The Phillips Curve: (In)stability, the role of credit, and implications for potential output measurement," ZEW Discussion Papers 14-067, ZEW - Leibniz Centre for European Economic Research.
    18. Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.
    19. 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.
    20. Choi, Yoonseok & Kim, Sunghyun, 2016. "Testing an alternative price-setting behavior in the new Keynesian Phillips curve: Extrapolative price-setting mechanism," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 253-265.

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    More about this item

    Keywords

    inflation expectations; survey of professional forecasters; Phillips curve; Bayesian;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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