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Modelling inflation in the euro area

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  • Jansen, Eilev S.

Abstract

The paper presents an incomplete competition model (ICM), where inflation is determined jointly with unit labour cost growth. The ICM is estimated on data for the Euro area and evaluated against existing models, i.e. the implicit inflation equation of the Area Wide model (AWM) - cf. Fagan, Henry and Mestre (2001) - and estimated versions of the (single equation) P* model and a hybrid New Keynesian Phillips curve. The evidence from these comparisons does not invite decisive conclusions. There is, however, some support in favour of the (reduced form) AWM inflation equation. It is the only model that encompasses a general unrestricted model and it forecast encompasses the competitors when tested on 20 quarters of one step ahead forecasts. JEL Classification: C22, C32, C52, C53, E31

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  • Jansen, Eilev S., 2004. "Modelling inflation in the euro area," Working Paper Series 322, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:2004322
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    Cited by:

    1. D.M. Nachane & Amlendu Kumar Dubey, 2008. "The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-022, Indira Gandhi Institute of Development Research, Mumbai, India.
    2. Heather Anderson & Mardi Dungey & Denise Osborn & Farshid Vahid, 2007. "Constructing Historical Euro Area Data," Money Macro and Finance (MMF) Research Group Conference 2006 99, Money Macro and Finance Research Group.
    3. Eilev S. Jansen, 2004. "Modelling inflation in the Euro Area," Working Paper Series 4104, Department of Economics, Norwegian University of Science and Technology, revised 01 Jun 2004.
    4. Paul De Grauwe & Magdalena Polan, 2005. "Is Inflation Always and Everywhere a Monetary Phenomenon?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 239-259, June.
    5. Bowdler, Christopher & Jansen, Eilev S., 2004. "A markup model of inflation for the euro area," Working Paper Series 306, European Central Bank.
    6. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    7. William A. Barnett & Soumya Suvra Bhadury & Taniya Ghosh, 2016. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Open Economies Review, Springer, vol. 27(5), pages 871-893, November.
    8. Antonin Rusek, 2008. "Inflation Dynamics in New EU Member States: The Czech Case," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 191-204, May.
    9. Elsa Cristina Vaz, 2012. "Sectoral leadership in international competitiveness: the Portuguese case," Applied Economics Letters, Taylor & Francis Journals, vol. 19(14), pages 1319-1330, September.
    10. Nachane, D.M. & Dubey, Amlendu Kumar, 2011. "The vanishing role of money in the macro-economy: An empirical investigation for India," Economic Modelling, Elsevier, vol. 28(3), pages 859-869, May.
    11. D. M. Nachane & Amlendu Kumar Dubey, 2008. "The Vanishing Role of Money in the Macroeconomy - An Empirical Investigation Based On Spectral and Wavelet Analysis," Macroeconomics Working Papers 22369, East Asian Bureau of Economic Research.
    12. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.
    13. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    14. Elsa Vaz, 2008. "Sectoral Leadership in International Competitiveness," CEFAGE-UE Working Papers 2008_07, University of Evora, CEFAGE-UE (Portugal).
    15. repec:kap:iaecre:v:14:y:2008:i:2:p:191-204 is not listed on IDEAS
    16. Tea Šestanović & Josip Arnerić, 2021. "Neural network structure identification in inflation forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 62-79, January.
    17. Czudaj, Robert, 2011. "P-star in times of crisis - Forecasting inflation for the euro area," Economic Systems, Elsevier, vol. 35(3), pages 390-407, September.

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    More about this item

    Keywords

    Area Wide model; forecast encompassing.; incomplete competition model; inflation; model evaluation; new Keynesian Phillips curve; P*-model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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