Decomposition of the Interval Based Composite Indicators by Means of Biclustering

CLADAG 2019 12-th Scientific Meeting Classification and Data Analysis Group Cassino, September 11 – 13, 2019 Book of Short Papers/Abstracts

4 Pages Posted: 29 Apr 2020

See all articles by Carlo Drago

Carlo Drago

Università degli Studi "Niccolò Cusano"

Date Written: September 2019

Abstract

Interval-based composite indicators are useful as subjectivities exist in the choices leading to the construction of a composite indicator. The interval shows the level of variation which is able to be determined by the different factors considered on the construction of the composite indicator. We will explore and analyze different results of the underlying composite indicators computed on the Monte Carlo simulations using biclustering. The results offer an understanding and explanation of the sensitivity of the composite indicator outcomes to the inputs under consideration.

Keywords: composite indicators, interval data, biclustering

JEL Classification: C43, C81, C82

Suggested Citation

Drago, Carlo, Decomposition of the Interval Based Composite Indicators by Means of Biclustering (September 2019). CLADAG 2019 12-th Scientific Meeting Classification and Data Analysis Group Cassino, September 11 – 13, 2019 Book of Short Papers/Abstracts , Available at SSRN: https://ssrn.com/abstract=3568357

Carlo Drago (Contact Author)

Università degli Studi "Niccolò Cusano" ( email )

Via Don Carlo Gnocchi, 3
Rome, 00166
Italy

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