IDEAS home Printed from https://ideas.repec.org/p/zbw/wsidps/157.html
   My bibliography  Save this paper

Is work in Europe decent? A study based on the 4th European survey of working conditions 2005

Author

Listed:
  • Tangian, Andranik

Abstract

Composite indicators of Decent work for 31 European countries are constructed with the data of the Fourth European Working Conditions Survey 2005 (EWCS 2005). Partial indices reflect 15 aspects of working conditions as in the recently published German DGBindex Gute-Arbeit. In a sense, the German indicator is extended to European data. Two methodologies, of the OECD and of the Hans Böckler Foundation, differing in scaling, give very similar results. The main findings are as follows: 1. Evaluation of working conditions. Working conditions are evaluated on the average with 61 conditional % (= low medium level), ranging from 51 in Turkey (inferior level) to 67 in Switzerland (upper medium level). A good evaluation (> 80) is inherent only in the meaningfulness of work (81). Two aspects got a bad evaluation (

Suggested Citation

  • Tangian, Andranik, 2007. "Is work in Europe decent? A study based on the 4th European survey of working conditions 2005," WSI Working Papers 157, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
  • Handle: RePEc:zbw:wsidps:157
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/38784/1/607333219.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    2. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    3. Richard ANKER & Igor CHERNYSHEV & Philippe EGGER & Farhad MEHRAN & Joseph A. RITTER, 2003. "Measuring decent work with statistical indicators," International Labour Review, International Labour Organization, vol. 142(2), pages 147-178, June.
    4. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    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. Seifert, Hartmut & Tangian, Andranik, 2007. "Flexicurity: Reconciling Social Security with Flexibility - Empirical Findings for Europe," WSI Working Papers 154, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    2. Tangian, Andranik, 2012. "Statistical test for the mathematical theory of democracy," WSI Working Papers 179, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    3. Lott, Yvonne, 2014. "Working time autonomy and time adequacy: What if performance is all that counts?," WSI Working Papers 188, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    4. Rafael Muñoz de Bustillo & Enrique Fernández-Macías & José-Ignacio Antón & Fernando Esteve, 2011. "Measuring More than Money," Books, Edward Elgar Publishing, number 14072.
    5. Virginia Navajas-Romero & Rosalía Díaz-Carrión & Antonio Ariza-Montes, 2019. "Decent Work as Determinant of Work Engagement on Dependent Self-Employed," Sustainability, MDPI, vol. 11(9), pages 1-17, April.
    6. Tangian, Andranik, 2008. "On the European readiness for flexicurity: Empirical evidence with OECD/HBS methodologies and reform proposals," WSI Working Papers 160, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.

    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. Tangian, Andranik, 2007. "Analysis of the third European survey on working conditions with composite indicators," European Journal of Operational Research, Elsevier, vol. 181(1), pages 468-499, August.
    2. Laurens CHERCHYE & Willem MOESEN & Nicky ROGGE & Tom VAN PUYENBROECK, 2009. "Constructing a knowledge economy composite indicator with imprecise data," Working Papers of Department of Economics, Leuven ces09.15, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    3. Tangian, Andranik S., 2004. "Constructing the composite indicator "Quality of work" from the third European survey on working conditions," WSI Working Papers 132, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    4. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    5. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    6. Tangian, Andranik S., 2005. "Composite indicator of German regional policy and its use for optimizing subsidies to regional labour markets," WSI Working Papers 138, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    7. L Cherchye & W Moesen & N Rogge & T Van Puyenbroeck & M Saisana & A Saltelli & R Liska & S Tarantola, 2008. "Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 239-251, February.
    8. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    9. Tangian, Andranik S., 2005. "A composite indicator of working conditions in the EU-15 for policy monitoring and analytical purposes," WSI Working Papers 135, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    10. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    11. Enrico Ivaldi & Gian Marco Ugolini, 2015. "The Nautical Quality Index (NaQi): Methodology and Application to the Case of Italy," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 43-58, May.
    12. Teemu Makkonen & Robert P. Have, 2013. "Benchmarking regional innovative performance: composite measures and direct innovation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 247-262, January.
    13. Li, Xingchen & Xu, Guangcheng & Wu, Jie & Xu, Chengzhen & Zhu, Qingyuan, 2024. "Evaluation of bank efficiency by considering the uncertainty of nonperforming loans," Omega, Elsevier, vol. 126(C).
    14. Matthias Firgo & Fabian Gabelberger & Andreas Reinstaller & Yvonne Wolfmayr, 2024. "Assessing Regional Production Potential to Strengthen the Security of Supply in Strategic Products," WIFO Working Papers 670, WIFO.
    15. Kumar, Sanjesh & Singh, Baljeet, 2019. "Barriers to the international diffusion of technological innovations," Economic Modelling, Elsevier, vol. 82(C), pages 74-86.
    16. Sheikh, Shahbaz, 2018. "The impact of market competition on the relation between CEO power and firm innovation," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 36-50.
    17. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    18. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    19. Rajko Tomaš, 2022. "Measurement of the Concentration of Potential Quality of Life in Local Communities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 79-109, August.
    20. Tavassoli, Sam, 2015. "Innovation determinants over industry life cycle," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 18-32.

    More about this item

    Keywords

    Composite indicators; quality of work; European Union; statistical indices; processing qualitative and ordinal data;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J88 - Labor and Demographic Economics - - Labor Standards - - - Public Policy

    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:zbw:wsidps:157. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/wsihbde.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.