| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w13949 |
| 来源ID | Working Paper 13949 |
| Nonparametric Identification and Estimation in a Generalized Roy Model | |
| Patrick Bayer; Shakeeb Khan; Christopher Timmins | |
| 发表日期 | 2008-04-16 |
| 出版年 | 2008 |
| 语种 | 英语 |
| 摘要 | This paper considers nonparametric identification and estimation of a generalized Roy model that includes a non-pecuniary component of utility associated with each choice alternative. Previous work has found that, without parametric restrictions or the availability of covariates, all of the useful content of a cross-sectional dataset is absorbed in a restrictive specification of Roy sorting behavior that imposes independence on wage draws. While this is true, we demonstrate that it is also possible to identify (under relatively innocuous assumptions and without the use of covariates) a common non-pecuniary component of utility associated with each choice alternative. We develop nonparametric estimators corresponding to two alternative assumptions under which we prove identification, derive asymptotic properties, and illustrate small sample properties with a series of Monte Carlo experiments. We demonstrate the usefulness of one of these estimators with an empirical application. Micro data from the 2000 Census are used to calculate the returns to a college education. If high-school and college graduates face different costs of migration, this would be reflected in different degrees of Roy-sorting-induced bias in their observed wage distributions. Correcting for this bias, the observed returns to a college degree are cut in half. |
| 主题 | Econometrics ; Estimation Methods ; Labor Economics ; Labor Supply and Demand ; Labor Compensation |
| URL | https://www.nber.org/papers/w13949 |
| 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/571621 |
| 推荐引用方式 GB/T 7714 | Patrick Bayer,Shakeeb Khan,Christopher Timmins. Nonparametric Identification and Estimation in a Generalized Roy Model. 2008. |
| 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 | ||
| w13949.pdf（483KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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