Gateway to Think Tanks
来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w4491 |
来源ID | Working Paper 4491 |
Estimates of the Returns to Schooling From Sibling Data: Fathers, Sons and Brothers | |
Orley Ashenfelter; David J. Zimmerman | |
发表日期 | 1993-10-01 |
出版年 | 1993 |
语种 | 英语 |
摘要 | In this paper we use data on brothers, and fathers and sons, to estimate the economic returns to schooling. Our goal is to determine whether the correlation between earnings and schooling is due, in part, to the correlation between family backgrounds and schooling. The basic idea is to contrast the differences between the schooling of brothers, and fathers and sons, with the differences in their respective earnings. Since individuals linked by family affiliation are more likely to have similar innate ability and family backgrounds than randomly selected individuals our procedure provides a straightforward control for unobserved family attributes. Our empirical results indicate that in the sample of brothers the ordinary least squares estimates of the return to schooling may be biased upward by some 25% by the omission of family background factors. Adjustments for measurement error, however, imply that the intrafamily estimate of the returns to schooling is biased downward by about 25% also, so that the ordinary least squares estimate suffers from very little overall bias. Using data on fathers and sons introduces some ambiguity into these findings, as commonly used specification tests reject our simplest models of the role of family background in the determination of earnings. |
主题 | Labor Economics ; Labor Compensation |
URL | https://www.nber.org/papers/w4491 |
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/561868 |
推荐引用方式 GB/T 7714 | Orley Ashenfelter,David J. Zimmerman. Estimates of the Returns to Schooling From Sibling Data: Fathers, Sons and Brothers. 1993. |
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 | ||
w4491.pdf(1389KB) | 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。