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Measuring active ageing: A Data Envelopment Analysis approach

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  • Amado, Carla A.F.
  • São José, José M.S.
  • Santos, Sérgio P.

Abstract

The ‘Active Ageing Index’ was created with the purpose of helping policy makers implement and monitor active ageing policies both at European and national levels. However, this index has not fully achieved this purpose. In this article we propose a methodological approach based on Data Envelopment Analysis to enhance the measurement of active ageing in the European Union countries. We use a model with 22 indicators grouped into four domains. By introducing different types of virtual weight restrictions, we combine normative judgements with an optimisation procedure, showing each country in the best possible light. Furthermore, we undertake a sensitivity analysis regarding the effect of varying the limits of the relative contribution of each domain.

Suggested Citation

  • Amado, Carla A.F. & São José, José M.S. & Santos, Sérgio P., 2016. "Measuring active ageing: A Data Envelopment Analysis approach," European Journal of Operational Research, Elsevier, vol. 255(1), pages 207-223.
    • Handle: RePEc:eee:ejores:v:255:y:2016:i:1:p:207-223
    DOI: 10.1016/j.ejor.2016.04.048
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    7. Seyran Gürsoy Çuhadar, 2020. "Yaşlanan Nüfusa Çözüm Önerisi Olarak Aktif Yaşlanma Yaklaşımı: Eleştiriler ve Olası Endeks için Türkiye Önerileri," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(79), pages 361-397, December.
    8. Pereira, Miguel Alves & Figueira, José Rui & Marques, Rui Cunha, 2020. "Using a Choquet integral-based approach for incorporating decision-maker’s preference judgments in a Data Envelopment Analysis model," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1016-1030.
    9. Verbunt, Pim & Rogge, Nicky, 2018. "Geometric composite indicators with compromise Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 264(1), pages 388-401.
    10. Per H. Jensen & Jakob Skjøtt-Larsen, 2021. "Theoretical Challenges and Social Inequalities in Active Ageing," IJERPH, MDPI, vol. 18(17), pages 1-16, August.
    11. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    12. Carla Oliveira Henriques & Maria Elisabete Neves & Licínio Castelão & Duc Khuong Nguyen, 2022. "Assessing the performance of exchange traded funds in the energy sector: a hybrid DEA multiobjective linear programming approach," Annals of Operations Research, Springer, vol. 313(1), pages 341-366, June.
    13. Kalinichenko, Olena & Amado, Carla A.F. & Santos, Sérgio P., 2022. "Exploring the potential of Data Envelopment Analysis for enhancing pay-for-performance programme design in primary health care," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1084-1100.
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