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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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    4. 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.
    5. Per H. Jensen & Jakob Skjøtt-Larsen, 2021. "Theoretical Challenges and Social Inequalities in Active Ageing," IJERPH, MDPI, vol. 18(17), pages 1-16, August.
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    7. 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.
    8. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    9. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    10. 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.
    11. Georgiana Cristina TOMA (ROSU) & Gabriela TUCHILUS, 2018. "What Are The Effects Of Active Ageing On Gdp Per Capita?," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1), pages 611-619, November.
    12. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
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    15. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.

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