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Measuring empowerment: Choices, values and norms

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  • Maiorano, Diego
  • Shrimankar, Dishil
  • Thapar-Björkert, Suruchi
  • Blomkvist, Hans

Abstract

In this paper, we present a novel, survey-based method to measure people’s empowerment, across different domains of their lives. The method includes three elements: (i) a direct measurement of decision-making, defined as the ability to make choices; (ii) a measure of whether people have reasons to value those choices; and (iii) a measure of the role that prevailing social norms play in determining people’s ability to make strategic life choices. We build an Empowerment score that is computed using these three elements. In the second part of the paper we, first, evaluate the effectiveness of the tool, using original survey data from India. We show that using the Empowerment score makes a substantial difference compared to a simpler (and less theoretically rigorous) score based on direct measurement of decision-making only. Second, we apply the Alkire-Foster method to compute an Empowerment index that allows for comparisons of empowerment levels across locations, contexts, social groups and time. The Empowerment score has important policy applications. It can be used as a variable in policy and programme evaluations and to identify not only those who make or do not make a certain choice, but also individuals who do not value making those choices and if they might be conforming to social norms. In this way, the tool can assist in directing government attention to work with marginalised groups in making choices they want to make rather than pressing them into making choices that they do not value.

Suggested Citation

  • Maiorano, Diego & Shrimankar, Dishil & Thapar-Björkert, Suruchi & Blomkvist, Hans, 2021. "Measuring empowerment: Choices, values and norms," World Development, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:wdevel:v:138:y:2021:i:c:s0305750x20303478
    DOI: 10.1016/j.worlddev.2020.105220
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    References listed on IDEAS

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    4. Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2021. "Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index," IZA Discussion Papers 14221, Institute of Labor Economics (IZA).
    5. Peterman, Amber & Schwab, Benjamin & Roy, Shalini & Hidrobo, Melissa & Gilligan, Daniel O., 2021. "Measuring women’s decisionmaking: Indicator choice and survey design experiments from cash and food transfer evaluations in Ecuador, Uganda and Yemen," World Development, Elsevier, vol. 141(C).
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    7. Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2023. "Using machine learning and qualitative interviews to design a five-question survey module for women’s agency," World Development, Elsevier, vol. 161(C).
    8. Qanti, Sara Ratna & Peralta, Alexandra & Zeng, Di, 2021. "Social Norms and Perception on Women's Participation in Agricultural Decisions: The Case of West Java, Indonesia," 2021 Conference, August 17-31, 2021, Virtual 314984, International Association of Agricultural Economists.

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