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Disentangling Heterogeneity Gaps and Pure Performance Differences in Composite Indexes Over Time: The Case of the Europe 2020 Strategy

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  • Barnabé Walheer

    (Université de Liège)

Abstract

Composite indexes have been widely used in different contexts to evaluate the performances of entities. The popularity of these indexes come mainly from their ease of use, interpretation and computation. In practice, heterogeneity could be present in the performance evaluation exercise due to differences between entities. For example, they could differ with respect to their ownership, geographical localization, economic infrastructure, resource endowments, social environment, and so on. As a result, composite indexes fail to capture the performance differences, as they are biased by the presence of heterogeneity. In this paper, we suggest a simple procedure to disentangle the heterogeneity gaps and pure performance differences in the composite indexes over time. We apply our procedure to the case of the Europe 2020 strategy by distinguishing between old and new European members.

Suggested Citation

  • Barnabé Walheer, 2019. "Disentangling Heterogeneity Gaps and Pure Performance Differences in Composite Indexes Over Time: The Case of the Europe 2020 Strategy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 25-45, May.
    • Handle: RePEc:spr:soinre:v:143:y:2019:i:1:d:10.1007_s11205-018-1974-4
    DOI: 10.1007/s11205-018-1974-4
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    1. Pasimeni, Paolo, 2011. "Measuring Europe 2020: a new tool to assess the strategy," MPRA Paper 53508, University Library of Munich, Germany, revised 02 Mar 2012.
    2. Gabor Rappai, 2016. "Europe En Route to 2020: A New Way of Evaluating the Overall Fulfillment of the Europe 2020 Strategic Goals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 77-93, October.
    3. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Karagiannis, Roxani & Karagiannis, Giannis, 2018. "Intra- and inter-group composite indicators using the BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 44-51.
    6. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    7. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    8. 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.
    9. Mehmet Çolak & Aylin Ege, 2013. "An Assessment of EU 2020 Strategy: Too Far to Reach?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 659-680, January.
    10. Andrea Saltelli & Beatrice D’Hombres & Jochen Jesinghaus & Anna Manca & Massimiliano Mascherini & Michela Nardo & Michaela Saisana, 2011. "Indicators for European Union Policies. Business as Usual?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(2), pages 197-207, June.
    11. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    12. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    13. Paolo Pasimeni, 2013. "The Europe 2020 Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 613-635, January.
    14. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    15. 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.
    16. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    17. Francesco Pasimeni & Paolo Pasimeni, 2016. "An Institutional Analysis of the Europe 2020 Strategy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1021-1038, July.
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    Cited by:

    1. Charlotte Wüst & Nicky Rogge, 2022. "How is the European Union progressing towards its Europe 2020 targets? A benefit-of-the-doubt window analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 405-438, May.
    2. Fan Liu & Barnabé Walheer, 2022. "Financial inclusion, financial technology, and economic development: a composite index approach," Empirical Economics, Springer, vol. 63(3), pages 1457-1487, September.
    3. Walheer, Barnabé, 2024. "A sequential benefit-of-the-doubt composite indicator," European Journal of Operational Research, Elsevier, vol. 316(1), pages 228-239.
    4. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    5. Emília Duľová Spišáková & Barbora Gontkovičová & Emil Spišák, 2021. "Assessment of Research and Development Financing Based on the Strategies in EU: Case of Sweden, Slovakia and Romania," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    6. Panagiotis Artelaris, 2022. "A development index for the Greek regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1261-1281, June.

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