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Wavelet Analisis of Unemployment Rate in Visegrad Countries

In: 16th International Scientific Conference Globalization and Its Socio-Economic Consequences. University of Zilina, The Faculty of Operation and Economics of Transport and Communication, Department of Economics, 5th – 6th October 2016. (Part II.)

Author

Listed:
  • Monika Hadas-Dyduch

    (University of Economics in Katowice, Poland)

  • Adam P. Balcerzak

    (Nicolaus Copernicus University)

  • Michal Bernard Pietrzak

    (Nicolaus Copernicus University)

Abstract

Visegrad countries, Poland, Slovakia, Czech Republic and Hungary have common history and have faced the same challenges created by globalisation process for the last three decades. They have successfully transformed form central planned to market economies. They have implemented fundamental reforms of their whole institutional systems and finally joined the European Union in the year 2004. During this process the most significant changes, which were directly influenced by opening of these economies in the reality of globalisation, have been seen on the labour markets. From the policy point of view the labour markets are always considered as crucial for social and macroeconomic stability of economies. This forces the economists to constant empirical research in this field. In this context the aim of the article is to conduct comparative analysis of the unemployment phenomena in the four countries. For this purpose wavelet analysis was applied. In the research a discrete wavelet transformation was used, which has been recently effectively used for analysis of macroeconomic indicators. The empirical research was conducted for the years 1998-2016 and it was based on the Eurostat data. In the research the following hypothesis was verified: the phenomenon of unemployment in the case of Poland, Slovakia and Hungary is formed in a quite similar way, whereas in Czech Republic the situation on the labour markets is mainly determined by factors of different nature.

Suggested Citation

  • Monika Hadas-Dyduch & Adam P. Balcerzak & Michal Bernard Pietrzak, 2016. "Wavelet Analisis of Unemployment Rate in Visegrad Countries," Chapters, in: Tomas Kliestik (ed.),16th International Scientific Conference Globalization and Its Socio-Economic Consequences. University of Zilina, The Faculty of Operation and Economi, edition 1, volume 0, pages 595-602, Institute of Economic Research.
    • Handle: RePEc:pes:ecchap:24
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    Cited by:

    1. Beata Bieszk-Stolorz & Krzysztof Dmytrow, 2021. "Clustering of Voivodships in Poland According to the Effectiveness of Professional Activisation in the Aspect of Changes in Procedures," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 108-121.
    2. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2021. "Impact of Changes to Procedures on the Evaluation of the Effectiveness of Forms of Professional Activation in Poland," Economies, MDPI, vol. 9(2), pages 1-18, June.
    3. Mariusz Zieliński, 2022. "The Effect of the COVID-19 Pandemic on the Labor Markets of the Visegrad Countries," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    4. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2020. "Influence of Accession of the Visegrad Group Countries to the EU on the Situation in Their Labour Markets," Sustainability, MDPI, vol. 12(16), pages 1-16, August.

    More about this item

    Keywords

    unemployment; wavelet analysis; multiresolution analysis; Visegrad countries;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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