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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Towards An Optimal Synthetic Index On The Gender Inequality Measurement

Authors:

José María Riobóo, Irene Riobóo

Published in:

 

(2009).ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera. European Council for Modeling and Simulation. doi:10.7148/2009 

 

ISBN: 978-0-9553018-8-9

 

23rd European Conference on Modelling and Simulation,

Madrid, June 9-12, 2009

Citation format:

Rioboo, I., & Rioboo, J. M. (2009). Towards An Optimal Synthetic Index On The Gender Inequality Measurement. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp. 463-469). European Council for Modeling and Simulation. doi:10.7148/2009-0463-0469

DOI:

http://dx.doi.org/10.7148/2009-0463-0469

Abstract:

Gender equality is a key aspect of human rights in order to achieve sustainability and development focused on people. Bearing in mind how important equality has become in decision making, indicators including the gender approach are useful for quantifying the differences between the two genders and how they have evolved over time.

Taking gender into account brings a diverse and complex reality into play which, in order to analyse accurately, entails distinguishing between various approaches and technical alternatives. This paper presents modelling, understood as creating a simplified recreation of a complex reality, as the most suitable framework.

A thorough analysis of recent literature reveals serious limitations, thus leading to the need to further research in areas such as the adaptation of empirical indicators to the theoretical framework, the expression applied when calculating simple indicators, the process used when rescaling them for normalisation purposes, the average used to obtain a synthetic index and the methods used to assign weights to integrated simple indicators. We have focused our research on these aspects, analysing and contrasting different alternatives, particularly focusing on ascertaining the most accurate methodology to attain a synthetic gender indicator, as a way of analysing these phenomena.

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