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Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions

Author

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  • Carlo Cavicchia

    (University of Rome La Sapienza)

  • Maurizio Vichi

    (University of Rome La Sapienza)

Abstract

In the last years, with the data revolution and the use of new technologies, phenomena are frequently described by a huge quantity of information useful for making strategic decisions. A priority for policymakers is having simple statistical tools useful to synthesize data. Such tools are represented by composite indicators (CIs). According to the glossary of statistical terms of OECD (The OECD-JRC handbook on practices for developing composite indicators. Paper presented at the OECD Committee on Statistics, 2004), OECD-JRC (Handbook on constructing composite indicators. Methodology and user guide, OECD, Paris, 2008), a CI is formed when manifest (observed) indicators are compiled into a single index, on the basis of an underlying model of the multi-dimensional concept that is being measured, and weights commonly represent the relative importance of each indicator. CIs are increasingly used for bench-marking countries’ performances and the methodological challenges raise a series of technical issues that, if not adequately addressed, can lead to CIs being misinterpreted or manipulated. Yet doubts are often raised about the robustness of the resulting countries’ rankings and about the significance of the associated policy message. In this paper, we propose a model-based approach for the construction of CIs with a hierarchical structure where the CIs (first and second order) are estimated using the Hierarchical Disjoint Non-Negative Factor Analysis (Cavicchia and Vichi in Hierarchical disjoint non-negative factor analysis. Manuscript submitted for publication, 2020) in a LS framework. In order to assess the methodology of construction of a CI, a set of properties is proposed and applied. Some well-known CIs, such as the Human Development Index and the Multidimensional Poverty index, are taken into consideration to show the importance of those properties. Therefore, we include into our proposal the most frequently used approaches in the literature of CIs, and we evaluate the model to assess their performances.

Suggested Citation

  • Carlo Cavicchia & Maurizio Vichi, 2021. "Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 449-479, August.
    • Handle: RePEc:spr:soinre:v:156:y:2021:i:2:d:10.1007_s11205-020-02318-7
    DOI: 10.1007/s11205-020-02318-7
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    1. Alkire, Sabina & Foster, James & Seth, Suman & Santos, Maria Emma & Roche, Jose Manuel & Ballon, Paola, 2015. "Multidimensional Poverty Measurement and Analysis," OUP Catalogue, Oxford University Press, number 9780199689491.
    2. Maurizio Vichi, 2017. "Disjoint factor analysis with cross-loadings," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(3), pages 563-591, September.
    3. Sabina Alkire, 2010. "Human Development: Definitions, Critiques, and Related Concepts," OPHI Working Papers 36, Queen Elizabeth House, University of Oxford.
    4. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, Jose M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers ophiwp090_ch9.pdf, Queen Elizabeth House, University of Oxford.
    5. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers ophiwp088_ch7.pdf, Queen Elizabeth House, University of Oxford.
    6. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    7. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers 83, Queen Elizabeth House, University of Oxford.
    8. Robert Wherry, 1959. "Hierarchical factor solutions without rotation," Psychometrika, Springer;The Psychometric Society, vol. 24(1), pages 45-51, March.
    9. Kenneth Bollen, 1984. "Multiple indicators: Internal consistency or no necessary relationship?," Quality & Quantity: International Journal of Methodology, Springer, vol. 18(4), pages 377-385, August.
    10. Giuseppe Munda & Michela Nardo, 2009. "Noncompensatory/nonlinear composite indicators for ranking countries: a defensible setting," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1513-1523.
    11. D K Despotis, 2005. "A reassessment of the human development index via data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 969-980, August.
    12. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    13. Ebert, Udo & Welsch, Heinz, 2004. "Meaningful environmental indices: a social choice approach," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 270-283, March.
    14. Louis Guttman, 1954. "Some necessary conditions for common-factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 149-161, June.
    15. John Schmid & John Leiman, 1957. "The development of hierarchical factor solutions," Psychometrika, Springer;The Psychometric Society, vol. 22(1), pages 53-61, March.
    16. William Revelle & Richard Zinbarg, 2009. "Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 145-154, March.
    17. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 9 - Distribution and Dynamics," OPHI Working Papers 90, Queen Elizabeth House, University of Oxford.
    18. Natale Carlo Lauro & Maria Gabriella Grassia & Rosanna Cataldo, 2018. "Model Based Composite Indicators: New Developments in Partial Least Squares-Path Modeling for the Building of Different Types of Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 421-455, January.
    19. Sabina Alkire, James E. Foster, Suman Seth, Maria Emma Santos, José M. Roche and Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 2 - The Framework," OPHI Working Papers ophiwp083_ch2.pdf, Queen Elizabeth House, University of Oxford.
    20. Sabina Alkire & James E. Foster & Suman Seth & Maria Emma Santos & Jose M. Roche & Paola Ballon, 2015. "Multidimensional Poverty Measurement and Analysis: Chapter 7 - Data and Analysis," OPHI Working Papers 88, Queen Elizabeth House, University of Oxford.
    21. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    22. Farhad Noorbakhsh, 1998. "The human development index: some technical issues and alternative indices," Journal of International Development, John Wiley & Sons, Ltd., vol. 10(5), pages 589-605.
    23. Sagar, Ambuj D. & Najam, Adil, 1998. "The human development index: a critical review," Ecological Economics, Elsevier, vol. 25(3), pages 249-264, June.
    24. Richard Zinbarg & William Revelle & Iftah Yovel & Wen Li, 2005. "Cronbach’s α, Revelle’s β, and Mcdonald’s ω H : their relations with each other and two alternative conceptualizations of reliability," Psychometrika, Springer;The Psychometric Society, vol. 70(1), pages 123-133, March.
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