| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w14447 |
| 来源ID | Working Paper 14447 |
| Inferring Welfare Maximizing Treatment Assignment under Budget Constraints | |
| Debopam Bhattacharya; Pascaline Dupas | |
| 发表日期 | 2008-10-30 |
| 出版年 | 2008 |
| 语种 | 英语 |
| 摘要 | This paper concerns the problem of allocating a binary treatment among a target population based on observed covariates. The goal is to (i) maximize the mean social welfare arising from an eventual outcome distribution, when a budget constraint limits what fraction of the population can be treated and (ii) to infer the dual value, i.e. the minimum resources needed to attain a specific level of mean welfare via efficient treatment assignment. We consider a treatment allocation procedure based on sample data from randomized treatment assignment and derive asymptotic frequentist confidence interval for the welfare generated from it. We propose choosing the conditioning covariates through cross-validation. The methodology is applied to the efficient provision of anti-malaria bed net subsidies, using data from a randomized experiment conducted in Western Kenya. We find that subsidy allocation based on wealth, presence of children and possession of bank account can lead to a rise in subsidy use by about 9 percentage points compared to allocation based on wealth only, and by 17 percentage points compared to a purely random allocation. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Poverty and Wellbeing |
| URL | https://www.nber.org/papers/w14447 |
| 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/572122 |
| 推荐引用方式 GB/T 7714 | Debopam Bhattacharya,Pascaline Dupas. Inferring Welfare Maximizing Treatment Assignment under Budget Constraints. 2008. |
| 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 | ||
| w14447.pdf（523KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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