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Synchronization of Economic Sentiment Cycles in the Euro Area: a time-frequency analysis

Author

Listed:
  • Luís Aguiar-Conraria

    (Universidade do Minho, NIPE, and Escola de Economia e Gestão)

  • Manuel M. F. Martins

    (Cef.up, Faculdade de Economia, Universidade do Porto)

  • Maria Joana Soares

    (Universidade do Minho, NIPE, and Departmento de Matemática)

Abstract

We use wavelet tools and Economic Sentiment Indicators to study the synchronization of economic cycles in the Euro Area. We assess the time-varying and frequency-varying pattern of business cycles synchronization in the Area and test the impact of the creation of the European Monetary Union in 1999. Among several results, we find that (a) the EMU is associated with a significant increase in synchronization of economic sentiment in the Euro Area; (b) the hard-peg of its currency to the Euro led to a comparable synchronization of Denmark's economic sentiment after 1999, differently from what happened in the case of the UK.

Suggested Citation

  • Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2011. "Synchronization of Economic Sentiment Cycles in the Euro Area: a time-frequency analysis," CEF.UP Working Papers 1105, Universidade do Porto, Faculdade de Economia do Porto.
    • Handle: RePEc:por:cetedp:1105
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    References listed on IDEAS

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    Cited by:

    1. Marianna Siničáková & Veronika Šuliková & Ľubica Štiblárová, 2018. "Tradičný a alternatívny pohľad na synchronizáciu hospodárskych cyklov v Európskej únii [Traditional and Alternative Look at the Business Cycle Synchronisation in the European Union]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(2), pages 260-277.
    2. Radka Martináková & Svatopluk Kapounek, 2013. "Economic sentiment indicator and its information capability in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2491-2498.
    3. Horvath, Denis & Sulikova, Veronika & Gazda, Vladimir & Sinicakova, Marianna, 2013. "The distance-based approach to the quantification of the world convergences and imbalances - comparisons across countries and factors," MPRA Paper 45033, University Library of Munich, Germany.

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    More about this item

    Keywords

    Business cycle synchronization; Economic sentiment; Euro Area; Continuous wavelet transform; Wavelet coherency; Wavelet distance; Phase-difference.;
    All these keywords.

    JEL classification:

    • 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
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F44 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Business Cycles

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