| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27094 |
| 来源ID | Working Paper 27094 |
| A New Method for Estimating Teacher Value-Added | |
| Michael Gilraine; Jiaying Gu; Robert McMillan | |
| 发表日期 | 2020-05-04 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | This paper proposes a new methodology for estimating teacher value-added. Rather than imposing a normality assumption on unobserved teacher quality (as in the standard empirical Bayes approach), our nonparametric estimator permits the underlying distribution to be estimated directly and in a computationally feasible way. The resulting estimates fit the unobserved distribution very well regardless of the form it takes, as we show in Monte Carlo simulations. Implementing the nonparametric approach in practice using two separate large-scale administrative data sets, we find the estimated teacher value-added distributions depart from normality and differ from each other. To draw out the policy implications of our method, we first consider a widely-discussed policy to release teachers at the bottom of the value-added distribution, comparing predicted test score gains under our nonparametric approach with those using parametric empirical Bayes. Here the parametric method predicts similar policy gains in one data set while overestimating those in the other by a substantial margin. We also show the predicted gains from teacher retention policies can be underestimated significantly based on the parametric method. In general, the results highlight the benefit of our nonparametric empirical Bayes approach, given that the unobserved distribution of value-added is likely to be context-specific. |
| 主题 | Econometrics ; Estimation Methods ; Subnational Fiscal Issues ; Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand ; Labor Market Structures |
| URL | https://www.nber.org/papers/w27094 |
| 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/584767 |
| 推荐引用方式 GB/T 7714 | Michael Gilraine,Jiaying Gu,Robert McMillan. A New Method for Estimating Teacher Value-Added. 2020. |
| 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 | ||
| w27094.pdf（1083KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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