Degrees of Return: Estimating Internal Rates of Return for College Majors Using Quantile Regression

被引:9
作者
Zhang, Liang [1 ]
Liu, Xiangmin [2 ]
Hu, Yitong [3 ]
机构
[1] New York Univ Steinhardt Sch Culture Educ & Human, Dept Adm Leadership & Technol, 82 Washington Sq East,7thFloor, New York, NY 10003 USA
[2] Rutgers State Univ, Sch Management & Lab Relat, New Brunswick, NJ USA
[3] New York Univ, Higher Educ Program, New York, NY USA
关键词
college major; internal rate of return; lifetime earnings; college costs; quantile regression; BIASED TECHNOLOGICAL-CHANGE; ECONOMIC RETURNS; WAGE PREMIUM; EDUCATION; EARNINGS; POLARIZATION; CHOICE; SELECTION; QUALITY; WEALTH;
D O I
10.3102/00028312241231512
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Using data collected from more than 5.8 million high school and college graduates ages 18 to 65 years who participated in the American Community Survey between 2009 and 2021, the authors estimate the internal rates of return (IRRs) for individuals with college degrees in 10 broad majors compared with high school graduates. The analysis shows significant differences in the age-earnings trajectories and IRRs across college majors. Furthermore, quantile regression analyses show that IRR is generally higher at the high end of the earnings distribution compared with the low end. Finally, the authors observed a slight decrease in IRR during the study period, which is consistent with the flattening and even decline in college wage premiums following the 2008 Great Recession.
引用
收藏
页码:577 / 609
页数:33
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