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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Bibliographic Details
Main Authors: Kris Boudt, Marco d’Errico, Hong Anh Luu, Rebecca Pietrelli
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2022/4155384
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