| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26389 |
| 来源ID | Working Paper 26389 |
| Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings | |
| Bharat K. Chandar; Ali Hortaçsu; John A. List; Ian Muir; Jeffrey M. Wooldridge | |
| 发表日期 | 2019-10-21 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Field experiments conducted with the village, city, state, region, or even country as the unit of randomization are becoming commonplace in the social sciences. While convenient, subsequent data analysis may be complicated by the constraint on the number of clusters in treatment and control. Through a battery of Monte Carlo simulations, we examine best practices for estimating unit-level treatment effects in cluster-randomized field experiments, particularly in settings that generate short panel data. In most settings we consider, unit-level estimation with unit fixed effects and cluster-level estimation weighted by the number of units per cluster tend to be robust to potentially problematic features in the data while giving greater statistical power. Using insights from our analysis, we evaluate the effect of a unique field experiment: a nationwide tipping field experiment across markets on the Uber app. Beyond the import of showing how tipping affects aggregate market outcomes, we provide several insights on aspects of generating and analyzing cluster-randomized experimental data when there are constraints on the number of experimental units in treatment and control. |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design ; Microeconomics ; Market Structure and Distribution |
| URL | https://www.nber.org/papers/w26389 |
| 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/584063 |
| 推荐引用方式 GB/T 7714 | Bharat K. Chandar,Ali Hortaçsu,John A. List,et al. Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings. 2019. |
| 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 | ||
| w26389.pdf（731KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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