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," NBER Working Papers 28626, National Bureau of Economic Research, Inc.
- 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," IZA Discussion Papers 14221, Institute of Labor Economics (IZA).
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More about this item
Keywords
Women's empowerment; Survey design; Feature selection; Psychometrics;All these keywords.
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-BIG-2021-05-10 (Big Data)
- NEP-CMP-2021-05-10 (Computational Economics)
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