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Labour Elasticity in V4 countries: Structural decomposition analysis

Author

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  • Martin Lábaj

    (University of Economics in Bratislava, Faculty of National Economy, Department of Economic Policy)

  • Karol Morvay
  • Martin Hudcovský

Abstract

In the present paper, we analyse determinants of labour elasticity in V4 countries. While the standard approach relies on the parametric estimation of labour elasticity coefficients, we employ a novel approach based on structural decomposition analysis. This allows us to identify several determinants that mitigate the effects of economic growth on employment. We decompose the overall change in employment into the contribution of six factors: changes in labour productivity, changes in import of intermediate products, changes in the structure of production, changes in the final demand structure by industries and by sectors, and a change in final demand volume. We show that besides generally accepted influence of labour productivity growth on employment other factors such as structural changes and changes in final demand played an important role in employment changes. These results shed some light on low labour elasticity in V4 countries that goes beyond the simple labour productivity growth argument.

Suggested Citation

  • Martin Lábaj & Karol Morvay & Martin Hudcovský, 2015. "Labour Elasticity in V4 countries: Structural decomposition analysis," Department of Economic Policy Working Paper Series 009, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
    • Handle: RePEc:brt:depwps:009
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    References listed on IDEAS

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    1. de Vries, Gaaitzen J. & Erumban, Abdul A. & Timmer, Marcel P. & Voskoboynikov, Ilya & Wu, Harry X., 2012. "Deconstructing the BRICs: Structural transformation and aggregate productivity growth," Journal of Comparative Economics, Elsevier, vol. 40(2), pages 211-227.
    2. Davide Furceri & Ernesto Crivelli & Mr. Joël Toujas-Bernate, 2012. "Can Policies Affect Employment Intensity of Growth? A Cross-Country Analysis," IMF Working Papers 2012/218, International Monetary Fund.
    3. Yang, Ling & Lahr, Michael L., 2010. "Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987-2005," China Economic Review, Elsevier, vol. 21(4), pages 557-570, December.
    4. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    5. Skolka, Jiri, 1989. "Input-output structural decomposition analysis for Austria," Journal of Policy Modeling, Elsevier, vol. 11(1), pages 45-66.
    6. Paul De Boer, 2009. "Multiplicative Decomposition And Index Number Theory: An Empirical Application Of The Sato-Vartia Decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 163-174.
    7. Gulay Gunluk-Senesen & Umit Senesen, 2011. "Decomposition Of Labour Demand By Employer Sectors And Gender: Findings For Major Exporting Sectors In Turkey," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 233-253.
    8. Claudia Ciobanu & Konstadinos Mattas & Dimitris Psaltopoulos, 2004. "Structural Changes in Less Developed Areas: An Input- Output Framework," Regional Studies, Taylor & Francis Journals, vol. 38(6), pages 603-614.
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    Cited by:

    1. Andrej Privara & Eva Rievajová & Mustafa Murat Yüceşahin, 2019. "Labour Market Disadvantages Faced by Migrant Workers from Czech Republic, Hungary, and Slovakia in Britain," Migration Letters, Migration Letters, vol. 16(4), pages 585-594, October.

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    Keywords

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    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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