| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w22725 |
| 来源ID | Working Paper 22725 |
| Learning and Earning: An Approximation to College Value Added in Two Dimensions | |
| Evan Riehl; Juan E. Saavedra; Miguel Urquiola | |
| 发表日期 | 2016-10-10 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | This paper explores the implications of measuring college productivity in two different dimensions: earning and learning. We compute system-wide measures using administrative data from the country of Colombia that link social security records to students’ performance on a national college graduation exam. In each case we can control for individuals’ college entrance exam scores in an approach akin to teacher value added models. We present three main findings: 1) colleges’ earning and learning productivities are far from perfectly correlated, with private institutions receiving relatively higher rankings under earning measures than under learning measures; 2) earning measures are significantly more correlated with student socioeconomic status than learning measures; and 3) in terms of rankings, earning measures tend to favor colleges with engineering and business majors, while colleges offering programs in the arts and sciences fare better under learning measures. |
| 主题 | Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand ; Labor Market Structures |
| URL | https://www.nber.org/papers/w22725 |
| 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/580398 |
| 推荐引用方式 GB/T 7714 | Evan Riehl,Juan E. Saavedra,Miguel Urquiola. Learning and Earning: An Approximation to College Value Added in Two Dimensions. 2016. |
| 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 | ||
| w22725.pdf（458KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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