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A composite indicator of working conditions in the EU-15 for policy monitoring and analytical purposes

Author

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  • Tangian, Andranik S.
Abstract
A composite indicator Working conditions for comparing European countries is constructed from data of the Third European Survey on Working Conditions. The main findings are as follows: (a) European countries differ with respect to working conditions statistically more significantly than with respect to earnings; it implies a quite accurate discrimination threshold in ranking countries with respect to working conditions,(b) working conditions and earnings positively correlate over the whole of Europe but correlate little within single countries; it indicates at the prevailing role of national determinants over professional or social specificities as contributing to the average working conditions, and (c) earnings play no essential role in subjective estimations, including job satisfaction, which mainly depends on working conditions; consequently, more attention should be paid to improving the latter. The same approach is applied to constructing a three-dimensional indicator of Working time, reflecting its aspects duration, location (abnormality), and flexibility. It is found that abnormality and flexibility compensate each other, whereas the duration is not aflected by two other factors.

Suggested Citation

  • 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.
  • Handle: RePEc:zbw:wsidps:135
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    References listed on IDEAS

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    1. Gardner, Jonathan & Andrew Oswald, 2002. "Does Money Buy Happiness? A Longitudinal Study Using Data on Windfalls," Royal Economic Society Annual Conference 2002 81, Royal Economic Society.
    2. Tangian, Andranik S., 2004. "Liberal and trade-unionist concepts of flexicurity: Modelling in application to 16 European countries," WSI Working Papers 131, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    3. Anna Cristina D'Addio & Tor Eriksson & Paul Frijters, 2007. "An analysis of the determinants of job satisfaction when individuals' baseline satisfaction levels may differ," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2413-2423.
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    7. Tom Wansbeek & Arie Kapteyn, 1983. "Tackling Hard Questions by Means of Soft Methods: The Use of Individual Welfare Functions in Socio‐Economic Policy," Kyklos, Wiley Blackwell, vol. 36(2), pages 249-269, May.
    8. Tangian, Andranik S., 2003. "Optimizing German regional policy-2004: A study based on empirical data from 1994 to 2001," WSI Working Papers 119, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    9. repec:bla:kyklos:v:36:y:1983:i:2:p:249-69 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Fernando Almeida & Nelson Amoedo, 2021. "Exploring the association between R&D expenditure and the job quality in the European Union," Papers 2101.03214, arXiv.org.
    2. Tangian, Andranik & Seifert, Hartmut, 2006. "Globalization and deregulation : Does flexicurity protect atypically employed?," WSI Working Papers 143, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    3. José María Arranz & Carlos García-Serrano & Virginia Hernanz, 2018. "Employment Quality: Are There Differences by Types of Contract?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 203-230, May.
    4. 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.
    5. 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.
    6. Elena Stefana & Filippo Marciano & Diana Rossi & Paola Cocca & Giuseppe Tomasoni, 2021. "Composite Indicators to Measure Quality of Working Life in Europe: A Systematic Review," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(3), pages 1047-1078, October.
    7. Tangian, Andranik, 2007. "Flexibility-Flexicurity-Flexinsurance: Response to the European Commission's Green Paper "Modernising Labour Law to Meet the Challenges of the 21st Century"," WSI Working Papers 149, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    8. 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.
    9. Matteo Mazziotta & Adriano Pareto, 2016. "On a Generalized Non-compensatory Composite Index for Measuring Socio-economic Phenomena," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 983-1003, July.
    10. 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.
    11. Tangian, Andranik S., 2007. "Is flexible work precarious? A study based on the 4th European survey of working conditions 2005," WSI Working Papers 153, The Institute of Economic and Social Research (WSI), Hans Böckler Foundation.
    12. Nuno Crespo & Nádia Simões & José Castro Pinto, 2013. "Determinant factors of job quality in Europe," Working Papers Series 2 13-01, ISCTE-IUL, Business Research Unit (BRU-IUL).
    13. Rafael Muñoz de Bustillo & Enrique Fernández-Macías & José-Ignacio Antón & Fernando Esteve, 2011. "Measuring More than Money," Books, Edward Elgar Publishing, number 14072.

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    More about this item

    Keywords

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

    JEL classification:

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

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