| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w9413 |
| 来源ID | Working Paper 9413 |
| Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating | |
| Brian A. Jacob; Steven D. Levitt | |
| 发表日期 | 2003-01-06 |
| 出版年 | 2003 |
| 语种 | 英语 |
| 摘要 | We develop an algorithm for detecting teacher cheating that combines information on unexpected test score fluctuations and suspicious patterns of answers for students in a classroom. Using data from the Chicago Public Schools, we estimate that serious cases of teacher or administrator cheating on standardized tests occur in a minimum of 4-5 percent of elementary school classrooms annually. Moreover, the observed frequency of cheating appears to respond strongly to relatively minor changes in incentives. Our results highlight the fact that incentive systems, especially those with bright line rules, often induce behavioral distortions such as cheating. Statistical analysis, however, may provide a means of detecting illicit acts, despite the best attempts of perpetrators to keep them clandestine. |
| 主题 | Health, Education, and Welfare ; Education ; Other ; Law and Economics |
| URL | https://www.nber.org/papers/w9413 |
| 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/567032 |
| 推荐引用方式 GB/T 7714 | Brian A. Jacob,Steven D. Levitt. Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating. 2003. |
| 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 | ||
| w9413.pdf（838KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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