Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index
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- Seema Jayachandran & Monica Biradavolu & Jan Cooper, 2021. "Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index," CESifo Working Paper Series 8984, CESifo.
- Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2021. "Using machine learning and qualitative interviews to design a five-question women's agency index," CEPR Discussion Papers 15961, C.E.P.R. Discussion Papers.
- 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).
References listed on IDEAS
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- Britta Augsburg & Bansi Malde & Harriet Olorenshaw & Zaki Wahhaj, 2021. "To invest or not to invest in sanitation: the role of intra-household gender differences in perceptions and bargaining power," IFS Working Papers W21/45, Institute for Fiscal Studies.
- Britta Augsburg & Bansi Malde & Harriet Olorenshaw & Zaki Wahhaj, 2023. "To invest or not to invest in sanitation: the role of intra-household gender differences in perceptions and bargaining power," IFS Working Papers W23/04, Institute for Fiscal Studies.
- Katie Tavenner & Todd A. Crane, 2022. "Hitting the target and missing the point? On the risks of measuring women’s empowerment in agricultural development," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(3), pages 849-857, September.
- Saha, Shree & Narayanan, Sudha, 2022.
"A simplified measure of nutritional empowerment: Using machine learning to abbreviate the Women’s Empowerment in Nutrition Index (WENI),"
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- Shree Saha & Sudha Narayanan, 2020. "A Simplified measure of nutritional empowerment using machine learning to abbreviate the Women's Empowerment in Nutrition Index (WENI)," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-031, Indira Gandhi Institute of Development Research, Mumbai, India.
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More about this item
JEL classification:
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
- O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2021-04-05 (Computational Economics)
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