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Estimating Phillips curves in turbulent times using the ECB's survey of professional forecasters

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  • Onorante, Luca
  • Koop, Gary

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 and dynamic model averaging in order to ensure an econometric specification capturing potential changes. We use both regression-based and VAR-based methods. The paper confirms that there have been shifts in the Phillips curve and identifies three sub-periods in the EMU: an initial period of price stability, a few years where inflation was driven mainly by external shocks, and the financial crisis, where the New Keynesian Phillips curve outperforms alternative formulations. This finding underlines the importance of introducing informed judgment in forecasting models and is also important for the conduct of monetary policy, as the crisis entails changes in the effect of expectations on inflation and a resurgence of the “sacrifice ratio”. JEL Classification: E31, C53, C11

Suggested Citation

  • Onorante, Luca & Koop, Gary, 2012. "Estimating Phillips curves in turbulent times using the ECB's survey of professional forecasters," Working Paper Series 1422, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20121422
    Note: 412615
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Moretti, Laura & Onorante, Luca & Zakipour-Saber, Shayan, 2019. "Phillips curves in the euro area," Research Technical Papers 8/RT/19, Central Bank of Ireland.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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. 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.
    19. repec:zbw:bofrdp:2013_006 is not listed on IDEAS
    20. 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.

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    More about this item

    Keywords

    Bayesian; financial crisis; inflation expectations; Phillips curve; Survey of Professional Forecasters;
    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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