| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29549 |
| 来源ID | Working Paper 29549 |
| Selection in Surveys | |
| Deniz Dutz; Ingrid Huitfeldt; Santiago Lacouture; Magne Mogstad; Alexander Torgovitsky; Winnie van Dijk | |
| 发表日期 | 2021-12-06 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic that used randomly assigned financial incentives to encourage participation. We link the survey data to administrative data sources, allowing us to observe a ground truth for participants and nonparticipants. We find evidence of large nonresponse bias, even after correcting for observable differences between participants and nonparticipants. We apply a range of existing methods that account for nonresponse bias due to unobserved differences, including worst-case bounds, bounds that incorporate monotonicity assumptions, and approaches based on parametric and nonparametric selection models. These methods produce bounds (or point estimates) that are either too wide to be useful or far from the ground truth. We show how these shortcomings can be addressed by modeling how nonparticipation can be both active (declining to participate) and passive (not seeing the survey invitation). The model makes use of variation from the randomly assigned financial incentives, as well as the timing of reminder emails. Applying the model to our data produces bounds (or point estimates) that are narrower and closer to the ground truth than the other methods. |
| 主题 | Econometrics ; Estimation Methods ; Data Collection ; Public Economics ; Labor Economics ; COVID-19 |
| URL | https://www.nber.org/papers/w29549 |
| 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/587223 |
| 推荐引用方式 GB/T 7714 | Deniz Dutz,Ingrid Huitfeldt,Santiago Lacouture,et al. Selection in Surveys. 2021. |
| 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 | ||
| w29549.pdf（1550KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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