| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w15463 |
| 来源ID | Working Paper 15463 |
| Testing the Correlated Random Coefficient Model | |
| James J. Heckman; Daniel A. Schmierer; Sergio S. Urzua | |
| 发表日期 | 2009-10-29 |
| 出版年 | 2009 |
| 语种 | 英语 |
| 摘要 | The recent literature on instrumental variables (IV) features models in which agents sort into treatment status on the basis of gains from treatment as well as on baseline-pretreatment levels. Components of the gains known to the agents and acted on by them may not be known by the observing economist. Such models are called correlated random coefficient models. Sorting on unobserved components of gains complicates the interpretation of what IV estimates. This paper examines testable implications of the hypothesis that agents do not sort into treatment based on gains. In it, we develop new tests to gauge the empirical relevance of the correlated random coefficient model to examine whether the additional complications associated with it are required. We examine the power of the proposed tests. We derive a new representation of the variance of the instrumental variable estimator for the correlated random coefficient model. We apply the methods in this paper to the prototypical empirical problem of estimating the return to schooling and find evidence of sorting into schooling based on unobserved components of gains. |
| 主题 | Econometrics ; Estimation Methods |
| URL | https://www.nber.org/papers/w15463 |
| 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/573139 |
| 推荐引用方式 GB/T 7714 | James J. Heckman,Daniel A. Schmierer,Sergio S. Urzua. Testing the Correlated Random Coefficient Model. 2009. |
| 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 | ||
| w15463.pdf（805KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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