| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13443 |
| DP13443 Using RCTs to Estimate Long-Run Impacts in Development Economics | |
| Adrien Bougen; Yue Huang; Michael Kremer; Edward Miguel | |
| 发表日期 | 2019-01-10 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | We assess evidence from randomized control trials (RCTs) on long-run economic productivity and living standards in poor countries. We first document that several studies estimate large positive long-run impacts, but that relatively few existing RCTs have been evaluated over the long-run. We next present evidence from a systematic survey of existing RCTs, with a focus on cash transfer and child health programs, and show that a meaningful subset can realistically be evaluated for long-run effects. We discuss ways to bridge the gap between the burgeoning number of development RCTs and the limited number that have been followed up to date, including through new panel (longitudinal) data, improved participant tracking methods, alternative research designs, and access to administrative, remote sensing, and cell phone data. We conclude that the rise of development economics RCTs since roughly 2000 provides a novel opportunity to generate high-quality evidence on the long-run drivers of living standards. |
| 主题 | Development Economics |
| 关键词 | Randomized controlled trials Long-run impacts Panel (longitudinal) data Development economics Cash transfers Child health |
| URL | https://cepr.org/publications/dp13443 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/542258 |
| 推荐引用方式 GB/T 7714 | Adrien Bougen,Yue Huang,Michael Kremer,et al. DP13443 Using RCTs to Estimate Long-Run Impacts in Development Economics. 2019. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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