On a Generalized Non-compensatory Composite Index for Measuring Socio-economic Phenomena
By Matteo Mazziotta, Adriano Pareto. 2016
311 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5766dad0636766799b2728a7bf053881f19c911b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Salvatore Greco
- Alessio Ishizaka
- Benedetto Matarazzo
- Gianpiero Torrisi
- Adriano Pareto
- Matteo Mazziotta
- Menelaos Tasiou
- Marco Cinelli
Citations in the corpus
- Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, background): “Indeed, the non-compensatoriness of composite indices has been a largely discussed issue (e.g., Casadio Tarabusi & Guarini, 2013; Mazziotta & Pareto, 2016; Munda & Nardo, 2009) and the most adopted aggregation function to avoid complete compensatoriness is the geometric mean that has been recently…”
- Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices (2018, background): “However, normalized indicators in an identical range have much more similar variability than original ones (Mazziotta and Pareto 2016).”
- On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, background): “A newer variant of the index allows for the ‘absolute assessment’ of the units over time (Mazziotta and Pareto 2016, p. 989).”