Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index
Year of publication: |
2021
|
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Authors: | Jayachandran, Seema ; Biradavolu, Monica ; Cooper, Jan |
Publisher: |
Munich : Center for Economic Studies and Ifo Institute (CESifo) |
Subject: | women’s empowerment | survey design | feature selection | psychometrics |
Series: | CESifo Working Paper ; 8984 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1753530709 [GVK] hdl:10419/235354 [Handle] RePec:ces:ceswps:_8984 [RePEc] |
Classification: | C83 - Survey Methods; Sampling Methods ; D13 - Household Production and Intrahouse Allocation ; J16 - Economics of Gender ; O12 - Microeconomic Analyses of Economic Development |
Source: |
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Using machine learning and qualitative interviews to design a five-question women's agency index
Jayachandran, Seema, (2021)
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Using machine learning and qualitative interviews to design a five-question women's agency index
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Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index
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