Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach
In this paper, we introduce a penalized version of the geometric mean. In analogy with the Mazziotta Pareto Index, this composite indicator is derived as a product between the geometric mean and a penalization term to account for the unbalance among indicators. The unbalance is measured in terms of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Computation |
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| Online Access: | https://www.mdpi.com/2079-3197/10/4/64 |
| _version_ | 1827621204014399488 |
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| author | Francesca Mariani Mariateresa Ciommi |
| author_facet | Francesca Mariani Mariateresa Ciommi |
| author_sort | Francesca Mariani |
| collection | DOAJ |
| description | In this paper, we introduce a penalized version of the geometric mean. In analogy with the Mazziotta Pareto Index, this composite indicator is derived as a product between the geometric mean and a penalization term to account for the unbalance among indicators. The unbalance is measured in terms of the (horizontal) variability of the normalized indicators opportunely scaled and transformed via the Box–Cox function of order zero. The penalized geometric mean is used to compute the penalized Human Development Index (HDI), and a comparison with the geometric mean approach is presented. Data come from the Human Development Data Center for 2019 and refer to the classical three dimensions of HDI. The results show that the new method does not upset the original ranking produced by the HDI but it impacts more on countries with poor performances. The paper has the merit of proposing a new reading of the Mazziotta Pareto Index in terms of the reliability of the arithmetic mean as well as of generalizing this reading to the geometric mean approach. |
| first_indexed | 2024-03-09T10:59:21Z |
| format | Article |
| id | doaj.art-9962a86d5e2a45e19ee1d8544800056c |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-03-09T10:59:21Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-9962a86d5e2a45e19ee1d8544800056c2023-12-01T01:22:15ZengMDPI AGComputation2079-31972022-04-011046410.3390/computation10040064Aggregating Composite Indicators through the Geometric Mean: A Penalization ApproachFrancesca Mariani0Mariateresa Ciommi1Department of Economics and Social Sciences, Università Politecnica delle Marche, 60121 Ancona, ItalyDepartment of Economics and Social Sciences, Università Politecnica delle Marche, 60121 Ancona, ItalyIn this paper, we introduce a penalized version of the geometric mean. In analogy with the Mazziotta Pareto Index, this composite indicator is derived as a product between the geometric mean and a penalization term to account for the unbalance among indicators. The unbalance is measured in terms of the (horizontal) variability of the normalized indicators opportunely scaled and transformed via the Box–Cox function of order zero. The penalized geometric mean is used to compute the penalized Human Development Index (HDI), and a comparison with the geometric mean approach is presented. Data come from the Human Development Data Center for 2019 and refer to the classical three dimensions of HDI. The results show that the new method does not upset the original ranking produced by the HDI but it impacts more on countries with poor performances. The paper has the merit of proposing a new reading of the Mazziotta Pareto Index in terms of the reliability of the arithmetic mean as well as of generalizing this reading to the geometric mean approach.https://www.mdpi.com/2079-3197/10/4/64composite indicatoraggregation methodHuman Development Index |
| spellingShingle | Francesca Mariani Mariateresa Ciommi Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach Computation composite indicator aggregation method Human Development Index |
| title | Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach |
| title_full | Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach |
| title_fullStr | Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach |
| title_full_unstemmed | Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach |
| title_short | Aggregating Composite Indicators through the Geometric Mean: A Penalization Approach |
| title_sort | aggregating composite indicators through the geometric mean a penalization approach |
| topic | composite indicator aggregation method Human Development Index |
| url | https://www.mdpi.com/2079-3197/10/4/64 |
| work_keys_str_mv | AT francescamariani aggregatingcompositeindicatorsthroughthegeometricmeanapenalizationapproach AT mariateresaciommi aggregatingcompositeindicatorsthroughthegeometricmeanapenalizationapproach |