IDEAS home Printed from https://ideas.repec.org/a/ren/journl/v2y2010i1p32-45.html
   My bibliography  Save this article

Labour Market Dynamics in Greek Regions: a Bayesian Markov Chain Approach Using Proportions Data

Author

Listed:
  • George A. Christodoulakis

    (Manchester Business School, University of Manchester)

  • Emmanuel C. Mamatzakis

    (University of Piraeus)

Abstract

This paper focuses on Greek labour market dynamics at a regional base, which comprises of 16 provinces, as defined by NUTS levels 1 and 2 (Eurostat, 2008), using Markov Chains for proportions data for the first time in the literature. We apply a Bayesian approach, which employs a Monte Carlo Integration procedure that uncovers the entire empirical posterior distribution of transition probabilities from full employment to part employment, unemployment and economically unregistered unemployment and vice a versa. Our results show that there are disparities in the transition probabilities across regions, implying that the convergence of the Greek labour market at a regional base is far from being considered as completed. However, some common patterns are observed as regions in the south of the country exhibit similar transition probabilities between different states of the labour market

Suggested Citation

  • George A. Christodoulakis & Emmanuel C. Mamatzakis, 2010. "Labour Market Dynamics in Greek Regions: a Bayesian Markov Chain Approach Using Proportions Data," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 2(1), pages 32-45, January.
    • Handle: RePEc:ren:journl:v:2:y:2010:i:1:p:32-45
    as

    Download full text from publisher

    File URL: http://www.rofea.org/index.php?journal=journal&page=article&op=download&path%5B%5D=23&path%5B%5D=12
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    2. van Dijk, H. K. & Kloek, T., 1980. "Further experience in Bayesian analysis using Monte Carlo integration," Journal of Econometrics, Elsevier, vol. 14(3), pages 307-328, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cilasun, Seyit Mumin & Acar, Elif Oznur & Gunalp, Burak, 2015. "The Effects of Labor Market Reforms on the Labor Market Dynamics in Turkey," MPRA Paper 64767, University Library of Munich, Germany.
    2. Jauer, Julia & Liebig, Thomas & Martin, John P. & Puhani, Patrick A., 2014. "Migration as an adjustment mechanism in the crisis? A comparison of Europe and the United States," Hannover Economic Papers (HEP) dp-537, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    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. George A. Christodoulakis & Emmanuel C. Mamatzakis, 2009. "Labour Market Dynamics in EU: a Bayesian Markov Chain Approach," Discussion Paper Series 2009_07, Department of Economics, University of Macedonia, revised Apr 2009.
    2. Elsby, Michael W.L. & Hobijn, Bart & Şahin, Ayşegül, 2015. "On the importance of the participation margin for labor market fluctuations," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 64-82.
    3. Jochen Mankart & Rigas Oikonomou, 2017. "Household Search and the Aggregate Labour Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1735-1788.
    4. Elhanan Helpman, 2010. "Labor Market Frictions as a Source of Comparative Advantage, with Implications for Unemployment and Inequality," NBER Working Papers 15764, National Bureau of Economic Research, Inc.
    5. Isabel Cairó & Shigeru Fujita & Camilo Morales-Jimenez, 2020. "The Cyclicality of Labor Force Participation Flows: The Role of Labor Supply Elasticities and Wage Rigidity," Working Papers 20-23, Federal Reserve Bank of Philadelphia.
    6. Krause, M.U., 2002. "Inter-Industry Wage Differentials and Job Flows," Discussion Paper 2002-3, Tilburg University, Center for Economic Research.
    7. Marcelo Veracierto, 2007. "Establishments dynamics and matching frictions in classical competitive equilibrium," Working Paper Series WP-07-16, Federal Reserve Bank of Chicago.
    8. Konon, Alexander & Fritsch, Michael & Kritikos, Alexander S., 2018. "Business cycles and start-ups across industries: An empirical analysis of German regions," Journal of Business Venturing, Elsevier, vol. 33(6), pages 742-761.
    9. Idriss Fontaine, 2021. "Uncertainty and Labour Force Participation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 437-471, April.
    10. Claudio Michelacci & Hernán Ruffo, 2015. "Optimal Life Cycle Unemployment Insurance," American Economic Review, American Economic Association, vol. 105(2), pages 816-859, February.
    11. Brown, Alessio J.G. & Merkl, Christian & Snower, Dennis J., 2011. "Comparing the effectiveness of employment subsidies," Labour Economics, Elsevier, vol. 18(2), pages 168-179, April.
    12. Nobuhiro Kiyotaki & Ricardo Lagos, 2007. "A Model of Job and Worker Flows," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 770-819, October.
    13. James A. Chalfant & Richard S. Gray & Kenneth J. White, 1991. "Evaluating Prior Beliefs in a Demand System: The Case of Meat Demand in Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 476-490.
    14. Dale T. Mortensen & Christopher A. Pissarides, 1995. "Technological Progress," CEP Discussion Papers dp0264, Centre for Economic Performance, LSE.
    15. Galiani, Sebastian & Lamarche, Carlos & Porto, Alberto & Sosa-Escudero, Walter, 2005. "Persistence and regional disparities in unemployment (Argentina 1980-1997)," Regional Science and Urban Economics, Elsevier, vol. 35(4), pages 375-394, July.
    16. Martin Beraja, 2017. "Counterfactual Equivalence in Macroeconomics," 2017 Meeting Papers 1400, Society for Economic Dynamics.
    17. Michaela Fuchs & Antje Weyh, 2010. "The determinants of job creation and destruction: plant-level evidence for Eastern and Western Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(4), pages 425-444, November.
    18. Valeriy Chereshnev & Aleksandra Vasilyeva, 2013. "Model complex of forecasting of interdependent development of migration processes and region labour market," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 272-281.
    19. Jose Garcia-Louzao & Linas Tarasonis, 2023. "Productivity-enhancing reallocation during the Great Recession: evidence from Lithuania," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 729-749.
    20. Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.

    More about this item

    Keywords

    Greek Regions; Employment; Unemployment; Markov Chains;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:ren:journl:v:2:y:2010:i:1:p:32-45. 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: Dr. Jerzy (Jurek) Konieczny (email available below). General contact details of provider: http://www.rcfea.org/ .

    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.