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A robust approach to composite indicators exploiting interval data: The interval-valued global gender gap index (IGGGI)

A robust approach to composite indicators exploiting interval data: The interval-valued global gender gap index (IGGGI)

Drago, Carlo and Gatto, Andrea ORCID: 0000-0003-1005-3571 (2018) A robust approach to composite indicators exploiting interval data: The interval-valued global gender gap index (IGGGI). In: Paoloni, Paola and Lombardi, Rosa, (eds.) Advances in Gender and Cultural Research in Business and Economics: 4th IPAZIA Workshop on Gender Issues 2018, Rome, Italy. Springer Proceedings in Business and Economics (SPBE) . Springer, Cham, Switzerland, pp. 103-114. ISBN 978-3030003340 (doi:https://doi.org/10.1007/978-3-030-00335-7_7)

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Abstract

Gender equality is a pillar of the sustainable development agenda. Women empowerment and gender mainstreaming are the bases of sound gender policies, especially in countries where greater gender gaps are observed, e.g. rural areas. This issue becomes particularly relevant in least developed countries, where an effective regulation is compelling. It is convened that gender equality is a powerful driver of economic development and social change, especially for its capacity of facilitating entrepreneurship. The appropriate gauging of the legal, economic, social and cultural factors determining or underlying a potential gender gap is crucial to shape and define such gender policies. Thus, it turns fundamental to attribute more robust bases to measure such phenomenon. With the scientific purpose of measuring gender gap in a more reliable way, this work aims to furnish a robust framework to compute composite indicators in the field of gender economics. We consider the weights of the different components. Thus, we apply an interval data analysis to the World Economic Forum’s Global Gender Gap Index. The results show consistent differences among the rankings of the two indexes, translatable in diverse policy implications.

Item Type: Book Section
Uncontrolled Keywords: Gender economics, Development policy, Interval data, Composite indicators, Sensitivity analysis, Rural entrepreneurship
Subjects: H Social Sciences > HB Economic Theory
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Livelihoods & Institutions Department
Last Modified: 16 Sep 2019 15:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25217

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