| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w30138 |
| 来源ID | Working Paper 30138 |
| Targeting Impact versus Deprivation | |
| Johannes Haushofer; Paul Niehaus; Carlos Paramo; Edward Miguel; Michael W. Walker | |
| 发表日期 | 2022-06-13 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Targeting is a core element of anti-poverty program design, with benefits typically targeted to those most “deprived” in some sense (e.g., consumption, wealth). A large literature in economics examines how to best identify these households feasibly at scale, usually via proxy means tests (PMTs). We ask a different question, namely, whether targeting the most deprived has the greatest social welfare benefit: in particular, are the most deprived those with the largest treatment effects or do the “poorest of the poor” sometimes lack the circumstances and complementary inputs or skills to take full advantage of assistance? We explore this potential trade-off in the context of an NGO cash transfer program in Kenya, utilizing recent advances in machine learning (ML) methods (specifically, generalized random forests) to learn PMTs that target both a) deprivation and b) high conditional average treatment effects across several policy-relevant outcomes. We find that targeting solely on the basis of deprivation is generally not attractive in a social welfare sense, even when the social planner's preferences are highly redistributive. We show that a planner using simpler prediction models, based on OLS or less sophisticated ML approaches, could reach divergent conclusions. We discuss implications for the design of real-world anti-poverty programs at scale. |
| 主题 | Econometrics ; Estimation Methods ; Public Economics ; Taxation ; Development and Growth ; Development |
| URL | https://www.nber.org/papers/w30138 |
| 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/587810 |
| 推荐引用方式 GB/T 7714 | Johannes Haushofer,Paul Niehaus,Carlos Paramo,et al. Targeting Impact versus Deprivation. 2022. |
| 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 | ||
| w30138.pdf（906KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
