| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28626 |
| 来源ID | Working Paper 28626 |
| Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index | |
| Seema Jayachandran; Monica Biradavolu; Jan Cooper | |
| 发表日期 | 2021-03-29 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | We propose a new method to design a short survey measure of a complex concept such as women's agency. The approach combines mixed-methods data collection and machine learning. We select the best survey questions based on how strongly correlated they are with a "gold standard'' measure of the concept derived from qualitative interviews. In our application, we measure agency for 209 women in Haryana, India, first, through a semi-structured interview and, second, through a large set of close-ended questions. We use qualitative coding methods to score each woman's agency based on the interview, which we treat as her true agency. To identify the close-ended questions most predictive of the "truth," we apply statistical algorithms that build on LASSO and random forest but constrain how many variables are selected for the model (five in our case). The resulting five-question index is as strongly correlated with the coded qualitative interview as is an index that uses all of the candidate questions. This approach of selecting survey questions based on their statistical correspondence to coded qualitative interviews could be used to design short survey modules for many other latent constructs. |
| 主题 | Econometrics ; Data Collection ; Microeconomics ; Households and Firms ; Labor Economics ; Demography and Aging ; Development and Growth ; Development |
| URL | https://www.nber.org/papers/w28626 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586299 |
| 推荐引用方式 GB/T 7714 | Seema Jayachandran,Monica Biradavolu,Jan Cooper. Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index. 2021. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28626.pdf（643KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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