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Mutual relationships between the unemployment rate and the unemployment duration in the Visegrad Group countries in years 2001–2017

Author

Listed:
  • Krzysztof Dmytrow

    (University of Szczecin, Poland)

  • Beata Bieszk-Stolorz

    (University of Szczecin, Poland)

Abstract

Research background: The most important indicators that describe the situation on the labour market are the unemployment rate and the unemployment duration. If both these indicators are high, then the human capital deteriorates. Therefore, it seems justified to analyse the mutual relationships between them. Purpose of the article: The article aims at finding the relationships between the unemployment rate and the unemployment duration, and checking if the mutual courses of these two indicators in the Visegrad Group countries are connected with each other. Methods: The business cycle clock methodology will be used to analyse the relationship between the unemployment rate and the median unemployment duration. Next, the similarity of the course of these two indicators will be analysed by means of the Pearson product-moment correlation coefficient and the Dynamic Time Warping (DTW) technique. Findings & Value added: Amongst the analysed countries, Czechia, Poland and Slovakia were, to a certain degree, similar with respect to the mutual course of the unemployment rate and the unemployment duration. Until the peak of the financial crisis in 2009, the unemployment rate and the unemployment duration decreased. During the next years, the unemployment rate was increasing and after 2-3 years it was followed by the increase of the unemployment duration. The situation improved after the year 2013 — both indicators were decreasing. In Hungary, on the contrary, the unemployment rate was increasing or steady until 2012, and during the following years it started to decrease. However, the course of the unemployment duration was completely different than in remaining countries. The value added of the article is application of the business clock cycle and the Dynamic Time Warping technique in finding the relationships and similarity of courses between the unemployment rate and the unemployment duration.

Suggested Citation

  • Krzysztof Dmytrow & Beata Bieszk-Stolorz, 2019. "Mutual relationships between the unemployment rate and the unemployment duration in the Visegrad Group countries in years 2001–2017," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(1), pages 129-148, March.
    • Handle: RePEc:pes:ierequ:v:14:y:2019:i:1:p:129-148
    DOI: 10.24136/eq.2019.006
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    Citations

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    Cited by:

    1. Krzysztof Dmytrów & Beata Bieszk-Stolorz & Joanna Landmesser-Rusek, 2022. "Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method," Energies, MDPI, vol. 15(20), pages 1-17, October.
    2. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2023. "Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    3. Katarzyna Wawrzyniak & Iwona Bak & Katarzyna Cheba & Maciej Oesterreich, 2020. "The Similarity of European Union Countries in Terms of the Structure of the Unemployed," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 416-429.
    4. Krzysztof Dmytrow & Beata Bieszk-Stolorz, 2021. "Comparison of changes in the labour markets of post-communist countries with other EU member states," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 741-764, December.
    5. 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.
    6. Beata Bieszk-Stolorz & Krzysztof Dmytrów, 2022. "Assessment of the Similarity of the Situation in the EU Labour Markets and Their Changes in the Face of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    7. 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.
    8. Krzysztof Dmytrów & Joanna Landmesser & Beata Bieszk-Stolorz, 2021. "The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method," Energies, MDPI, vol. 14(13), pages 1-23, July.
    9. Beata Bieszk-Stolorz & Krzysztof Dmytrów & Ewa Frąckiewicz, 2024. "Multivariate Analysis of the Sustainable Development of the Silver Economy in the European Union Countries," Sustainability, MDPI, vol. 16(23), pages 1-21, December.
    10. Beata Bieszk-Stolorz & Iwona Markowicz, 2021. "Decline in Share Prices of Energy and Fuel Companies on the Warsaw Stock Exchange as a Reaction to the COVID-19 Pandemic," Energies, MDPI, vol. 14(17), pages 1-17, August.
    11. Beata Bieszk-Stolorz & Iwona Markowicz, 2022. "The Impact of the COVID-19 Pandemic on the Situation of the Unemployed in Poland. A Study Using Survival Analysis Methods," Sustainability, MDPI, vol. 14(19), pages 1-19, October.

    More about this item

    Keywords

    registered unemployment rate; unemployment duration; business cycle clock; Dynamic Time Warping; Visegrad Group countries;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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