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Measuring Human Development in the MENA Region

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  • Mehmet Pinar
  • Thanasis Stengos
  • M. Ege Yazgan

Abstract

We aim to assess welfare improvements in the Middle East and North Africa (MENA) region using the Human Development Index (HDI). We obtain weighting schemes that yield the best- and worst-case scenarios for measured human development, relying on consistent tests for stochastic dominance efficiency (SDE), with the official equally weighted HDI taken as a benchmark. In the best-case scenario index, life expectancy and GDP indexes receive the highest weights for the 1975–2005 period, while the education index is the dominant contributor to the worst-case scenario in the same period. In addition, we observe a relative change in the best- and worst-case scenarios between two fifteen-year periods. The GDP index is the main contributor to the best-case scenario between 1975 and 1990, whereas the education index is the main contributor to the worst-case scenario during that period. Life expectancy is the main contributor to the best-case scenario in the 1990–2005 period, while the GDP and education indexes are the primary contributors to the worst-case scenario during that period.

Suggested Citation

  • Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2015. "Measuring Human Development in the MENA Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1179-1192, November.
    • Handle: RePEc:mes:emfitr:v:51:y:2015:i:6:p:1179-1192
    DOI: 10.1080/1540496X.2015.1080517
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    Citations

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    Cited by:

    1. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    2. Qiuxia Yang, 2020. "Fiscal Transparency and Public Service Quality Association: Evidence from 12 Coastal Provinces and Cities of China," JRFM, MDPI, vol. 14(1), pages 1-14, December.
    3. Mehmet Pinar, 2022. "Choquet-Integral Aggregation Method to Aggregate Social Indicators to Account for Interactions: An Application to the Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 1-53, January.
    4. Mehmet Pinar, 2019. "Multidimensional Well-Being and Inequality Across the European Regions with Alternative Interactions Between the Well-Being Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 31-72, July.
    5. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to OECD’s Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 917-954, June.
    6. Giovanni Bernardo & Irene Brunetti & Mehmet Pinar & Thanasis Stengos, 2021. "Measuring the presence of organized crime across Italian provinces: a sensitivity analysis," European Journal of Law and Economics, Springer, vol. 51(1), pages 31-95, February.
    7. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    8. Ganlin Huang & Yaqiong Jiang, 2017. "Urbanization and Socioeconomic Development in Inner Mongolia in 2000 and 2010: A GIS Analysis," Sustainability, MDPI, vol. 9(2), pages 1-11, February.
    9. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to Measuring Child Development," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(5), pages 1567-1588, October.

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