| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29686 |
| 来源ID | Working Paper 29686 |
| Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions | |
| Beatrice Ferrario; Stefanie Stantcheva | |
| 发表日期 | 2022-01-24 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | This paper illustrates the design and use of open-ended survey questions as a way of eliciting people's first-order concerns on policies. Multiple choice questions are the backbone of most surveys, but they may prime respondents to select answer options that they would not naturally have thought about, and they may omit relevant options. Open-ended questions that do not constrain respondents with specific answer choices are a valuable tool for eliciting first-order thinking. We discuss three text analysis methods to analyze open-ended questions' answers. To illustrate how to apply these methods, we provide evidence from large-scale surveys on income and estate taxation. We show the that key concerns relate mostly to distribution issues, fairness, and government, rather than to efficiency concerns. There are large partisan gaps in the first-order concerns on policies. |
| 主题 | Microeconomics ; Welfare and Collective Choice ; Behavioral Economics ; Public Economics ; Taxation |
| URL | https://www.nber.org/papers/w29686 |
| 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/587360 |
| 推荐引用方式 GB/T 7714 | Beatrice Ferrario,Stefanie Stantcheva. Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions. 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 | ||
| w29686.pdf（3217KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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