Higher-Order Risk-Returns to Education

被引:1
|
作者
Henderson, Daniel J. [1 ,2 ,3 ]
Souto, Anne-Charlotte [4 ]
Wang, Le [5 ]
机构
[1] Univ Alabama, Dept Econ Finance & Legal Studies, Tuscaloosa, AL 35487 USA
[2] Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
[3] Inst Study Labor IZA, D-53113 Bonn, Germany
[4] Univ Pittsburgh, Dept Econ, Pittsburgh, PA 15260 USA
[5] Univ Oklahoma, Dept Econ, Norman, OK 73019 USA
关键词
return to education; risk; higher moments; portfolio theory; categorical regression splines; NONPARAMETRIC REGRESSION; INSTRUMENTAL VARIABLES; EMPIRICAL-ANALYSIS; ECONOMIC RETURN; AVERSION; HETEROGENEITY; ABILITY; DEMAND; CHOICE;
D O I
10.3390/jrfm13110253
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In the traditional human capital framework, education is often considered as an investment, rather than consumption, while consumption is not necessarily precluded. Whether education is an investment is empirically unclear and relatively under-explored. We shed light on this issue by estimating the risk-return trade-off in the context of education. If education is indeed an investment, risk could play an important role in individual educational decisions just as with risky assets. As portfolio theory predicts, there could be a trade-off between returns to education and risks concerning those returns: higher risks are generally associated with higher returns. We contribute to the literature by proposing various measures of risk based on the entire distribution of returns to education recovered by our nonparametric models. Our results confirm a trade-off between returns and variance. We also found statistically significant impacts for the higher moments: skewness and kurtosis. Interestingly, we found the relationship between mean returns and variance to be linear, and the relationship between expected returns and higher-moments (skewness and kurtosis) is non-linear.
引用
收藏
页数:25
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