Interpretability of Composite Indicators Based on Principal Components
Principal component approaches are often used in the construction of composite indicators to summarize the information of input variables. The gain of dimension reduction comes at the cost of difficulties in interpretation, inaccurate targeting, and possible conflicts with the theoretical framework...
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Main Authors: | Kris Boudt, Marco d’Errico, Hong Anh Luu, Rebecca Pietrelli |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2022/4155384 |
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