| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29616 |
| 来源ID | Working Paper 29616 |
| Causal Inference from Hypothetical Evaluations | |
| B. Douglas Bernheim; Daniel Björkegren; Jeffrey Naecker; Michael Pollmann | |
| 发表日期 | 2022-01-03 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | This paper explores methods for inferring the causal effects of treatments on choices by combining data on real choices with hypothetical evaluations. We propose a class of estimators, identify conditions under which they yield consistent estimates, and derive their asymptotic distributions. The approach is applicable in settings where standard methods cannot be used (e.g., due to the absence of helpful instruments, or because the treatment has not been implemented). It can recover heterogeneous treatment effects more comprehensively, and can improve precision. We provide proof of concept using data generated in a laboratory experiment and through a field application. |
| 主题 | Econometrics ; Estimation Methods ; Microeconomics ; Households and Firms |
| URL | https://www.nber.org/papers/w29616 |
| 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/587289 |
| 推荐引用方式 GB/T 7714 | B. Douglas Bernheim,Daniel Björkegren,Jeffrey Naecker,et al. Causal Inference from Hypothetical Evaluations. 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 | ||
| w29616.pdf（745KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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