- Afzal, M., Hersh, J., and Newhouse, D. (2015). Building a better model: Variable selection to predict poverty in Pakistan and Sri Lanka.
Paper not yet in RePEc: Add citation now
Ahrens, A. ; Hansen, C.B. ; Schaffer, M.E. lassopack: Model selection and prediction with regularized regression in stata. 2020 The Stata Journal. 20 176-235
- Alkire, S. ; Meinzen-Dick, R. ; Peterman, A. ; Quisumbing, A. ; Seymour, G. ; Vaz, A. The women’s empowerment in agriculture index. 2013 World Development. 52 71-91
Paper not yet in RePEc: Add citation now
Alkire, S. ; Roche, J.M. ; Ballon, P. ; Foster, J. ; Santos, M.E. ; Seth, S. Multidimensional poverty measurement and analysis. 2015 Oxford University Press: USA
Alsop, R. ; Heinsohn, N. Measuring empowerment in practice: Structuring analysis and framing indicators. 2005 The World Bank: Washington D.C.
- Athey, S. The impact of machine learning on economics. 2019 En : Agrawal, A. ; Gans, J. ; Goldfarb, A. The Economics of Artificial Intelligence. University of Chicago Press:
Paper not yet in RePEc: Add citation now
- Basuchoudhary, A. ; Bang, J.T. ; Sen, T. Machine-learning Techniques in Economics: New Tools for Predicting Economic Growth. 2017 Springer:
Paper not yet in RePEc: Add citation now
Duflo, E. Women empowerment and economic development. 2012 Journal of Economic literature. 50 1051-1079
- FAO, ; FHI360, . 2016 Food and Agriculture Organization: Rome
Paper not yet in RePEc: Add citation now
- Glennerster, R. ; Walsh, C. ; Diaz-Martin, L. A practical guide to measuring women’s and girls’ empowerment in impact evaluations. 2018 Gender Sector, Abdul Latif Jameel Poverty Action Lab:
Paper not yet in RePEc: Add citation now
- Hannan, A. ; Heckert, J. ; James-Hawkins, L. ; Yount, K.M. Cognitive interviewing to improve women’s empowerment questions in surveys: Application to the health and nutrition and intrahousehold relationships modules for the project-level women’s empowerment in agriculture index. 2020 Maternal and child nutrition. 16 -
Paper not yet in RePEc: Add citation now
- Heckert, J. ; Fabic, M.S. Improving data concerning women’s empowerment in sub-saharan africa. 2013 Studies in Family Planning. 44 319-344
Paper not yet in RePEc: Add citation now
Ibrahim, S. ; Alkire, S. Agency and empowerment: A proposal for internationally comparable indicators. 2007 Oxford Development Studies. 35 379-403
Jayachandran, S. ; Biradavolu, M. ; Cooper, J. Using machine learning and qualitative interviews to design a five-question women’s agency index. 2021 National Bureau of Economic Research:
Kabeer, N. Resources, agency, achievements: Reflections on the measurement of women’s empowerment. 1999 Development and Change. 30 435-464
- Kadiyala, S. ; Harris, J. ; Headey, D. ; Yosef, S. ; Gillespie, S. Agriculture and nutrition in india: Mapping evidence to pathways. 2014 Annals of the New York Academy of Sciences. 1331 43-56
Paper not yet in RePEc: Add citation now
- Kshirsagar, V., Wieczorek, J., Ramanathan, S., and Wells, R. (2017). Household poverty classification in data-scarce environments: a machine learning approach. arXiv preprint arXiv:1711.06813.
Paper not yet in RePEc: Add citation now
- Laszlo, S. ; Grantham, K. Measurement of women’s economic empowerment in GrOW projects: Inventory and user guide. 2017 ISID: Institute for the Study of International Development:
Paper not yet in RePEc: Add citation now
Lentz, E. ; Michelson, H. ; Baylis, K. ; Zhou, Y. A data-driven approach improves food insecurity crisis prediction. 2019 World Development. 122 399-409
- Malapit, H. ; Quisumbing, A. ; Meinzen-Dick, R. ; Seymour, G. ; Martinez, E.M. ; Heckert, J. ; Rubin, D. ; Vaz, A. ; Yount, K.M. ; Phase, G.A.A.P. Development of the project-level women’s empowerment in agriculture index (pro-weai). 2019 World Development. 122 675-692
Paper not yet in RePEc: Add citation now
- Malapit, H. J. L., Pinkstaff, C. S. K., Kovarik, C., Quisumbing, A., and Meinzen-Dick, R. (2017). The Abbreviated Women’ s Empowerment in Agriculture Index (A-WEAI), volume 1647. IFPRI Discussion Paper 1647. Washington, DC: International Food Policy Research Institute.
Paper not yet in RePEc: Add citation now
- Malhotra, A. ; Schuler, S.R. ; Carol, B. Women’s empowerment as a variable in international development. 2005 Measuring empowerment: Cross-disciplinary Perspectives. 1 71-88
Paper not yet in RePEc: Add citation now
McBride, L. ; Nichols, A. Retooling poverty targeting using out-of-sample validation and machine learning. 2018 The World Bank Economic Review. 32 531-550
- Narayanan, S. ; Lentz, E. ; Fontana, M. ; De, A. ; Kulkarni, B. Developing the women’s empowerment in nutrition index in two states of india. 2019 Food Policy. 89 -
Paper not yet in RePEc: Add citation now
- Narayanan, S. ; Lentz, E. ; Fontana, M. ; Kulkarni, B. Rural women’s empowerment in nutrition: A framework linking food, health and institutions. 2022 Journal of Development Studies. 58 1-18
Paper not yet in RePEc: Add citation now
- Pereznieto, P. ; Taylor, G. A review of approaches and methods to measure economic empowerment of women and girls. 2014 Gender and Development. 22 233-251
Paper not yet in RePEc: Add citation now
- Pratley, P. Associations between quantitative measures of women’s empowerment and access to care and health status for mothers and their children: A systematic review of evidence from the developing world. 2016 Social Science and Medicine. 169 119-131
Paper not yet in RePEc: Add citation now
- Richardson, R.A. Measuring women’s empowerment: A critical review of current practices and recommendations for researchers. 2018 Social Indicators Research. 137 539-557
Paper not yet in RePEc: Add citation now
Saha, S. & Narayanan, S. (2020). A Simplified Measure of Nutritional Empowerment Using Machine Learning to Abbreviate the Women’s Empowerment in Nutritional Index (WENI), NCAER-Data Innovation Centre, Student Grant Report No.5, July 2020. https://www.ncaer.org/uploads/publication/pdf/Saha%20and%20Narayanan%20Student%20Grantee%20Report.pdf
- Santoso, M. ; Bezner-Kerr, R. ; Hoddinott, J. ; Garigipati, P.O.S. ; Young, S. Role of women’s empowerment in child nutrition outcomes: A systematic review. 2019 Advances in Nutrition. 10 1138-1151
Paper not yet in RePEc: Add citation now
- Schrider, D.R. ; Kern, A.D. Supervised machine learning for population genetics: A new paradigm. 2018 Trends in Genetics. 34 301-312
Paper not yet in RePEc: Add citation now
- Shah, N. ; Mohan, D. ; Bashingwa, J.J.H. ; Ummer, O. ; Chakraborty, A. ; LeFevre, E. Amnesty Using machine learning to optimize the quality of survey data: Protocol for a use case in india. 2020 JMIR Research Protocols. 9 -
Paper not yet in RePEc: Add citation now
- Storm, H. ; Baylis, K. ; Heckelei, T. Machine learning in agricultural and applied economics. 2019 European Review of Agricultural Economics. 47 849-892
Paper not yet in RePEc: Add citation now
- Tibshirani, R. Regression shrinkage and selection via the lasso. 1996 Journal of the Royal Statistical Society: Series B (Methodological). 58 267-288
Paper not yet in RePEc: Add citation now
- Wuest, T. ; Weimer, D. ; Irgens, C. ; Thoben, K.-D. Machine learning in manufacturing: advantages, challenges, and applications. 2016 Production and Manufacturing Research. 4 23-45
Paper not yet in RePEc: Add citation now
- Yount, K.M. ; Cheong, Y.F. ; Maxwell, L. ; Heckert, J. ; Martinez, E.M. ; Seymour, G. Measurement properties of the project-level women’s empowerment in agriculture index. 2019 World Development. 124 -
Paper not yet in RePEc: Add citation now