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Assessing the gender gap in labour market index: volatility of results and reliability

Author

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  • Rosalia Castellano
  • Antonella Rocca

Abstract

Purpose - – The construction and use of composite indicators has recently increased considerably because such indicators permit the comparison and ranking of countries with respect to complex phenomena of global importance. Together with the diffusion of these composite indicators, a major debate has emerged over their real capacity to produce objective and reliable results. The paper aims to discuss these issues. Design/methodology/approach - – In this paper, an analysis of the results of the Gender Gap Labour Market Index (GGLMI) – an ad hoc composite indicator constructed by the authors to analyse the gender gap in European labour markets – is proposed, in order to identify the most appropriate choices in the construction of composite indicators, to obtain reliable results. This is a sensible approach, especially when various aspects (some of them controversial) have to be synthesised. Findings - – In addition to highlighting the greater robustness of non-compensatory methods, this analysis confirms the variability of countries’ rankings on graded positional lists, and suggests the need to use a procedure based on a set of alternative methods conveniently combined in each step of the composite indicator construction. Research limitations/implications - – The research identifies the weak steps in composite indicator construction and the data characteristics which increase the volatility. Only an approach based on various alternative paths can control for it. Practical implications - – It offers some reflections on the extent to which gender disparities in labour market still persist in European countries and the different ways in which it manifests. Social implications - – The analysis of characteristics and policies activated in countries at the top of the ranking can suggest initiatives to promote gender equality. Originality/value - – Besides of testing the robustness of results, an effort in order to identify the best way to obtain a synthetic and reliable single rank is made. Further, the results produced by the GGLMI for the year 2011 are presented and discussed.

Suggested Citation

  • Rosalia Castellano & Antonella Rocca, 2015. "Assessing the gender gap in labour market index: volatility of results and reliability," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(8), pages 749-772, August.
    • Handle: RePEc:eme:ijsepp:v:42:y:2015:i:8:p:749-772
    DOI: 10.1108/IJSE-06-2014-0117
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    References listed on IDEAS

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    1. Yann Algan & Pierre Cahuc, 2006. "Job Protection: The Macho Hypothesis," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(3), pages 390-410, Autumn.
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    3. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
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    5. Cristina Davino, Rosaria Romano, 2011. "Sensitivity Analysis of Composite Indicators through Mixed Model Anova," Working Papers 32-2011, Macerata University, Department of Studies on Economic Development (DiSSE), revised Mar 2011.
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    8. Michele Pellizzari & Anne Fichen, 2013. "A New Measure of Skills Mismatch: Theory and Evidence from the Survey of Adult Skills (PIAAC)," OECD Social, Employment and Migration Working Papers 153, OECD Publishing.
    9. M. Benito & R. Romera, 2011. "Improving quality assessment of composite indicators in university rankings: a case study of French and German universities of excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 153-176, October.
    10. Castellano, Rosalia & Punzo, Gennaro & Rocca, Antonella, 2013. "Women’s job search propensity and selection effect in European labour markets," MPRA Paper 50869, University Library of Munich, Germany.
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    1. Rosalia Castellano & Antonella Rocca, 2017. "The dynamic of the gender gap in the European labour market in the years of economic crisis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1337-1357, May.
    2. Rosalia CASTELLANO & Antonella ROCCA, 2018. "Gender disparities in European labour markets: A comparison of conditions for men and women in paid employment," International Labour Review, International Labour Organization, vol. 157(4), pages 589-608, December.
    3. Mignoli, Gian Piero & Siboni, Benedetta Prof. & Rignanese, Pasqua & Valentini, Camilla & Toschi, Tullia Gallina, 2018. "UGII – University Gender Inequality Index. A proposal from the University of Bologna," OSF Preprints kfg6m, Center for Open Science.
    4. Helena Corrales-Herrero & Beatriz Rodriguez-Prado, 2021. "Measuring Youth Living Conditions in Europe: A Multidimensional Cross-Country Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 1077-1117, June.

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