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Retour à Global Statistics - Composite Indices for International Comparisons

Avis et commentaires pour d'étudiants pour Global Statistics - Composite Indices for International Comparisons par Université de Genève

16 évaluations
8 avis

À propos du cours

The number of composite indices that are constructed and used internationally is growing very fast; but whilst the complexity of quantitative techniques has increased dramatically, the education and training in this area has been dragging and lagging behind. As a consequence, these simple numbers, expected to synthesize quite complex issues, are often presented to the public and used in the political debate without proper emphasis on their intrinsic limitations and correct interpretations. In this course on global statistics, offered by the University of Geneva jointly with the ETH Zürich KOF, you will learn the general approach of constructing composite indices and some of resulting problems. We will discuss the technical properties, the internal structure (like aggregation, weighting, stability of time series), the primary data used and the variable selection methods. These concepts will be illustrated using a sample of the most popular composite indices. We will try to address not only statistical questions but also focus on the distinction between policy-, media- and paradigm-driven indicators....

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1 - 8 sur 8 Avis pour Global Statistics - Composite Indices for International Comparisons

par Liliana F D V A

Apr 06, 2019

This is definitely a great course to acquire a real grasp of the methodology required for the construction of composite indices!

The multiple examples provided in the different modules were definitely eye openers to the wide array of composite indices that are being used world wide. An element I felt missing though was a deeper explanation of the robustness tests each organization developed to chose their final indices.

I believe a great follow up for this course would be the design of a specialization program with multiple courses that could go deeper into the technical aspects of the construction of composite indices (aggregation, elasticity, weights, and robustness tests) through a hands-on approach and a Capstone project in which students could apply all their knowledge for the proper construction of a composite index.

par Vianney B B E M

May 27, 2019

Ce cours m'a permis de comprendre la théorie et les méthodes utilisées pour élaborer les indices composites qui, jusque là, étaient des "boites noires". J'ai pu en saisir toute la richesse analytique. Je me réjouis d'utiliser et de partager les acquis de ce cours avec toutes les personnes partageant les mêmes préoccupations : rendre intelligible une grande quantité d'informations en les synthétisant en une grandeur explicite, informative. Je recommande vivement le suivi de ce cours.

par Stellios S

Jul 29, 2018

With CIs everywhere, this is a nice course for a wider audience to get an understanding of how they get constructed and matters that have to be taken into account while doing so. Plenty of use-cases about well-known indices and presentations from people involved in their creation. If you are working with data, it is highly likely that you may come up with ideas in the end!

par Mohamed A M J

Mar 30, 2019

Eventhough this isn't something I want to particularly do in the future I would like to say that I have enjoyed learning about composite indicators. I would highly recommend this MOOC to anyone.

par Saad N

Oct 09, 2019

Well structured course with many popular examples. I was looking for such course for a long time and this course really satisfies my needs.

par José L V P

May 02, 2019

Ha sido un curso genial. Realmente didáctico y formal.

par Igor C

Oct 31, 2019

The support material, especially in the two first weeks, could be simplified (eg, the powerpoints could be presented in another format, reducing the dozens of pages by at least a half).

par José F N T

Apr 21, 2020

It would be good to add a computational exercise to estimate a composite indicator.