An Unbalance Adjustment Method for Development Indicators

By Enrico Casadio Tarabusi, Giulio Guarini. 2013

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METHODS FOR CONSTRUCTING COMPOSITE INDICES: ONE FOR ALL OR ALL FOR ONE? (2013, background): “So we can define an aggregation approach ‘compensatory’ or ‘non-compensatory’ depending on whether it permits compensability or not (Casadio Tarabusi and Guarini, 2012).”
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…”
On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2018, unknown): “The mean–min function, developed by Tarabusi and Guarini (2013), is another approach working towards the penalisation of the unbalances in the construction of a composite index.”
Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices (2018, background): “This function realizes the maximum penalization for unbalanced values of the indicators (Casadio Tarabusi and Guarini 2013).”