| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28241 |
| 来源ID | Working Paper 28241 |
| Simple and Credible Value-Added Estimation Using Centralized School Assignment | |
| Joshua Angrist; Peter Hull; Parag A. Pathak; Christopher R. Walters | |
| 发表日期 | 2020-12-28 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Many large urban school districts match students to schools using algorithms that incorporate an element of random assignment. We introduce two simple empirical strategies to harness this randomization for value-added models (VAMs) measuring the causal effects of individual schools. The first estimator controls for the probability of being offered admission to different schools, treating the take-up decision as independent of potential outcomes. Randomness in school assignments is used to test this key conditional independence assumption. The second estimator uses randomness in offers to generate instrumental variables (IVs) for school enrollment. This procedure uses a low-dimensional model of school quality mediators to solve the under-identification challenge arising from the fact that some schools are under-subscribed. Both approaches relax the assumptions of conventional value-added models while obviating the need for elaborate nonlinear estimators. In applications to data from Denver and New York City, we find that models controlling for both assignment risk and lagged achievement yield highly reliable VAM estimates. Estimates from models with fewer controls and older lagged score controls are improved markedly by IV. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Labor Economics ; Labor Supply and Demand |
| URL | https://www.nber.org/papers/w28241 |
| 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/585926 |
| 推荐引用方式 GB/T 7714 | Joshua Angrist,Peter Hull,Parag A. Pathak,et al. Simple and Credible Value-Added Estimation Using Centralized School Assignment. 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 | ||
| w28241.pdf（603KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
