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Intra- and inter-group composite indicators using the BoD model

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  • Karagiannis, Roxani
  • Karagiannis, Giannis

Abstract

We extent the radial DEA model with a single constant input, often referred to as the Benefit-of-the-Doubt (BoD) model, to account for environmental or contextual differences. Based on this we estimate three types of composite indicators, namely the pooled that uses the entire sample of the evaluated units, the intra-group that accounts for within group differences, and the inter-group that reflects between group differences. In addition, we provide theoretically consistent aggregation rules for these types of composite indicators. We applied the proposed methodology to analyze the financial performance of public and private hospitals in Greece by means of financial ratios referring to their liquidity performance and to examine the extent of differences in the inter-group composite indicators between the two types of ownership both at the individual and the aggregate level.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:soceps:v:61:y:2018:i:c:p:44-51
    DOI: 10.1016/j.seps.2017.01.002
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    2. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    3. 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.
    4. Van Puyenbroeck, Tom & Rogge, Nicky, 2020. "Comparing regional human development using global frontier difference indices," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    5. Acs, Zoltan & Lafuente, Esteban & Szerb, László, 2022. "A note on the configuration of the digital ecosystem in Latin America," TEC Empresarial, School of Business, Costa Rica Institute of Technology (ITCR), vol. 16(1), pages 1-19.
    6. Lafuente, Esteban & Araya, Manuel & Leiva, Juan Carlos, 2022. "Assessment of local competitiveness: A composite indicator analysis of Costa Rican counties using the ‘Benefit of the Doubt’ model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    7. Nicky Rogge & Alena Kolyaseva, 2022. "Measuring and comparing World Bank regions’ ‘ease of doing business’ opportunity sets," Journal of Productivity Analysis, Springer, vol. 57(2), pages 131-155, April.
    8. Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.
    9. Georgios Tsaples & Jason Papathanasiou & Andreas C. Georgiou, 2022. "An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU," Mathematics, MDPI, vol. 10(13), pages 1-27, June.
    10. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    11. Georgiou, Andreas C. & Thanassoulis, Emmanuel & Papadopoulou, Alexandra, 2022. "Using data envelopment analysis in markovian decision making," European Journal of Operational Research, Elsevier, vol. 298(1), pages 276-292.
    12. Van Puyenbroeck, Tom & Montalto, Valentina & Saisana, Michaela, 2021. "Benchmarking culture in Europe: A data envelopment analysis approach to identify city-specific strengths," European Journal of Operational Research, Elsevier, vol. 288(2), pages 584-597.

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