| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP15222
|
| DP15222 Measuring Voters' Knowledge of Political News |
| Charles Angelucci; Andrea Prat
|
| 发表日期 | 2020-08-29
|
| 出版年 | 2020
|
| 语种 | 英语
|
| 摘要 | We propose a methodology to measure knowledge of news about recent political events that combines a protocol for identifying stories, a quiz to elicit knowledge, and the estimation of a model of individual knowledge that includes difficulty, partisanship, and memory decay. We focus on news about the Federal Government in a monthly sample of 1,000 US voters repeated 11 times. People in the most informed tercile are 97% more likely than people in the bottom tercile to know the main story of the month. We document large inequalities across socioeconomic groups, with the best-informed group over 14 percentage points more likely to know the typical story compared to the least-informed group. Voters are 10-30% less likely to know stories unfavorable to their political party. Also, each month passing lowers the probability of knowing a story by 3-4 percentage points. We repeat our study on news about the Democratic Party primaries. |
| 主题 | Industrial Organization
; Public Economics
|
| URL | https://cepr.org/publications/dp15222
|
| 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/544196
|
推荐引用方式
GB/T 7714 |
Charles Angelucci,Andrea Prat. DP15222 Measuring Voters' Knowledge of Political News. 2020.
|
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