IDEAS home Printed from https://ideas.repec.org/p/opa/wpaper/0005.html
   My bibliography  Save this paper

Decomposition of Unemployment: The Case of the Visegrad group countries

Author

Listed:
  • Michal Tvrdoň

    (Departament of Economics and Public Administration, School of Business Administration, Silesian University)

Abstract

Generally, economic performance declines and the unemployment rate rises during the economic crisis. This relationship was confirmed in the past several crises. Moreover, we can decompose unemployment into several components – seasonal, cyclical and structural. The aim of the paper is to decompose unemployment and we try to estimate the rate of structural unemployment. Quarterly data from the Eurostat database in the period between 2000 and 2012 were applied. In order to estimate the trend of the unemployment rate´s development was used Hodrick-Prescott filter. Data show that all observed economies recorded a low unemployment rate in a pre-crisis period and they had to face worsened labour market performance during and after the crisis. Our results suggest that structural component seems to be the most important component of unemployment. Moreover, it has decreased in these countries, except Hungary. We also compared our method with OECD estimations and we can state that these approaches lead to analogous results.

Suggested Citation

  • Michal Tvrdoň, 2015. "Decomposition of Unemployment: The Case of the Visegrad group countries," Working Papers 0005, Silesian University, School of Business Administration.
    • Handle: RePEc:opa:wpaper:0005
    as

    Download full text from publisher

    File URL: http://www.iivopf.cz/images/Working_papers/WPIEBS_05_Tvrdon.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gomes, Fábio Augusto Reis & da Silva, Cleomar Gomes, 2009. "Hysteresis versus NAIRU and convergence versus divergence: The behavior of regional unemployment rates in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(2), pages 308-322, May.
    2. Laurence Boone, 2000. "Comparing Semi-Structural Methods to Estimate Unobserved Variables: The HPMV and Kalman Filters Approaches," OECD Economics Department Working Papers 240, OECD Publishing.
    3. Agnete Gersing, 1997. "Structural Unemployment in Denmark," OECD Economics Department Working Papers 183, OECD Publishing.
    4. Benedikt Herz & Thijs van Rens, 2011. "Structural unemployment," Economics Working Papers 1276, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Murat Tasci, 2012. "The Ins and Outs of Unemployment in the Long Run: Unemployment Flows and the Natural Rate," Koç University-TUSIAD Economic Research Forum Working Papers 1233, Koc University-TUSIAD Economic Research Forum.
    6. Gerlach, Stefan & Yiu, Matthew S., 2004. "Estimating output gaps in Asia: A cross-country study," Journal of the Japanese and International Economies, Elsevier, vol. 18(1), pages 115-136, March.
    7. Davide Furceri & Annabelle Mourougane, 2012. "How Do Institutions Affect Structural Unemployment in Times of Crises?," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 59(4), pages 393-419.
    8. Fidrmuc, Jarko & Klein, Caroline & Price, Robert & Wörgötter, Andreas, 2013. "Slovakia: A Catching Up Euro Area Member In and Out of the Crisis," IZA Policy Papers 55, Institute of Labor Economics (IZA).
    9. Stuart E. Weiner, 1993. "New estimates of the natural rate of unemployment," Economic Review, Federal Reserve Bank of Kansas City, vol. 78(Q IV), pages 53-69.
    10. Laurence Boone & Claude Giorno & Mara Meacci & David Rae & Pete Richardson & Dave Turner, 2003. "Estimating the structural rate of unemployment for the OECD countries," OECD Economic Studies, OECD Publishing, vol. 2001(2), pages 171-216.
    11. Agustín Maravall & Fernando J. Sánchez, 2000. "An Application of TRAMO-SEATS: Model Selection and Out-of-Sample Performance: the Swiss CPI Series," Working Papers 0014, Banco de España.
    12. Petr Rozmahel, 2011. "Measuring the business cycles similarity and convergence trends in the Central and Eastern European countries towards the Eurozone with respect to some unclear methodological aspects," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(2), pages 237-250.
    13. Christian Gianella & Isabell Koske & Elena Rusticelli & Olivier Chatal, 2008. "What Drives the NAIRU? Evidence from a Panel of OECD Countries," OECD Economics Department Working Papers 649, OECD Publishing.
    14. Fabiani, Silvia & Mestre, Ricardo, 2000. "Alternative measures of the NAIRU in the euro area: estimates and assessment," Working Paper Series 17, European Central Bank.
    15. Chiarini, Bruno & Piselli, Paolo, 2001. "Identification and dimension of the NAIRU," Economic Modelling, Elsevier, vol. 18(4), pages 585-611, December.
    16. Tito Nícias Teixeira da Silva Filho, 2010. "The Natural Rate of Unemployment in Brazil, Chile, Colombia and Venezuela: Some Results and Challenges," Working Papers Series 212, Central Bank of Brazil, Research Department.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valerija Botric, 2012. "NAIRU estimates for Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 163-180.
    2. Pavel Tuleja & Michal Tvrdoň, 2011. "The Czech labour market after the crisis of a real economy: negative development or return to steady-state?," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(7), pages 477-488.
    3. Beissinger, Thomas, 2003. "Strukturelle Arbeitslosigkeit in Europa : eine Bestandsaufnahme (Structural unemployment in Europe * an inventory)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 411-427.
    4. Nicoletta Batini & Jennifer V. Greenslade, 2006. "Measuring the UK short-run NAIRU," Oxford Economic Papers, Oxford University Press, vol. 58(1), pages 28-49, January.
    5. Beissinger, Thomas, 2003. "Strukturelle Arbeitslosigkeit in Europa: Eine Bestandsaufnahme," University of Regensburg Working Papers in Business, Economics and Management Information Systems 389, University of Regensburg, Department of Economics.
    6. Beissinger, Thomas, 2003. "Strukturelle Arbeitslosigkeit in Europa : eine Bestandsaufnahme (Structural unemployment in Europe * an inventory)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 411-427.
    7. Emilie Jašová & Klára Čermáková & Božena Kadeřábková & Pavel Procházka, 2016. "Působení institucionálních faktorů na strukturální a cyklickou nezaměstnanost v zemích Visegrádské skupiny [Influence of Institutional Factors on Structural and Cyclical Unemployment in the Countri," Politická ekonomie, Prague University of Economics and Business, vol. 2016(1), pages 34-50.
    8. Horst Feldmann, 2012. "Product Market Regulation and Labor Market Performance around the World," LABOUR, CEIS, vol. 26(3), pages 369-391, September.
    9. Antonella Palumbo, 2008. "I metodi di stima del PIL potenziale tra fondamenti di Teoria economica e Contenuto empirico," Departmental Working Papers of Economics - University 'Roma Tre' 0092, Department of Economics - University Roma Tre.
    10. Silvia Fabiani & Ricardo Mestre, 2004. "A system approach for measuring the euro area NAIRU," Empirical Economics, Springer, vol. 29(2), pages 311-341, May.
    11. Emilie Jašová & Božena Kaderábková, 2012. "Comparing NAIRU and Economic Cycle from the Perspective of Labour Market in the Countries of the Visegrad Group," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 3-23.
    12. Alessandro Cianci, 2016. "Disoccupazione strutturale in Italia e regole europee di bilancio," a/ Working Papers Series 1601, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    13. Task Force of the Monetary Policy Committee of the European System of Central Banks, 2012. "Euro area labour markets and the crisis," Occasional Paper Series 138, European Central Bank.
    14. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2020. "Potential Output in Theory and Practice: A Revision and Update of Okun's Original Method," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 247-266.
    15. Gómez García, F. & Rebollo Sanz, Y. & Usabiaga Ibáñez, C., 2002. "Nuevas estimaciones de la NAIRU de la economía española: métodos directos," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 20, pages 509-530, Diciembre.
    16. Valerija Botric, 2011. "Structural Unemployment And Its Determinants In Southeast Europe," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 20(1), pages 81-100, june.
    17. Jennifer V Greenslade & Richard G Pierse & Jumana Saleheen, 2003. "A Kalman filter approach to estimating the UK NAIRU," Bank of England working papers 179, Bank of England.
    18. Michael Christl, 2020. "A Beveridge curve decomposition for Austria: did the liberalisation of the Austrian labour market shift the Beveridge curve?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-15, December.
    19. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    20. Olivier Basdevant & Nils Björksten & Özer Karagedikli, 2004. "Estimating a time varying neutral real interest rate for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP 2004/01, Reserve Bank of New Zealand.

    More about this item

    Keywords

    Hodrick-Prescott filter; Kalman filter; NAIRU; structural unemployment;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:opa:wpaper:0005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David Jančar (email available below). General contact details of provider: https://edirc.repec.org/data/opfslcz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.