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A Robust Approach to Composite Indicators Exploiting Interval Data: The Interval-Valued Global Gender Gap Index (IGGGI)

In: Advances in Gender and Cultural Research in Business and Economics

Author

Listed:
  • Carlo Drago

    (University of Rome “N. Cusano”
    CED—Center for Economic Development & Social Change)

  • Andrea Gatto

    (CED—Center for Economic Development & Social Change
    Department of Economic and Legal Studies (DISEG), Palazzo Pacanowski, University of Naples “Parthenope”
    Department of Economics and Business Economics, CREATES, Center for Research in Econometric Analysis of Time Series, Aarhus BSS, Aarhus University)

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.

Suggested Citation

  • Carlo Drago & Andrea Gatto, 2019. "A Robust Approach to Composite Indicators Exploiting Interval Data: The Interval-Valued Global Gender Gap Index (IGGGI)," Springer Proceedings in Business and Economics, in: Paola Paoloni & Rosa Lombardi (ed.), Advances in Gender and Cultural Research in Business and Economics, chapter 0, pages 103-114, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-00335-7_7
    DOI: 10.1007/978-3-030-00335-7_7
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    Citations

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    Cited by:

    1. Gianluigi Cisco & Andrea Gatto, 2021. "Climate Justice in an Intergenerational Sustainability Framework: A Stochastic OLG Model," Economies, MDPI, vol. 9(2), pages 1-13, April.
    2. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    3. Zakir Morshed & Mohshin Habib & Christine Jubb, 2020. "Does Regulation Influence Microfinance Institutions to Be More Client-Responsive?," IJFS, MDPI, vol. 8(4), pages 1-24, October.
    4. Shuxin Mao & Sha Qiu & Tao Li & Mingfang Tang, 2020. "Rural Households’ Livelihood Strategy Choice and Livelihood Diversity of Main Ethnic Minorities in Chongqing, China," Sustainability, MDPI, vol. 12(19), pages 1-15, October.
    5. Andrea Gatto & Francesco Busato, 2019. "Defining, measuring and ranking energy vulnerability," CREATES Research Papers 2019-01, Department of Economics and Business Economics, Aarhus University.
    6. Jingkun Niu & Haifeng Du, 2021. "Coordinated Development Evaluation of Population–Land–Industry in Counties of Western China: A Case Study of Shaanxi Province," Sustainability, MDPI, vol. 13(4), pages 1-25, February.

    More about this item

    Keywords

    Gender economics; Development policy; Interval data; Composite indicators; Sensitivity analysis; Rural entrepreneurship;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations

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