Estimating the Financial Return to Education Between Fields of Study

J. McRae
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引用次数: 1

Abstract

The Mincer regression equation was utilized to compute the expected financial return to education from additional years of education across the 2016 Canadian population. Data was taken from the 2016 Canadian Census of Population to create the populations of interest. Three sub populations were then derived from the collected data to represent Canadians with different major areas of study namely, business, humanities, and engineering. Mincerian regressions were run using these subsections to determine how the financial return to education differs between distinct majors. Additional multiple regressions included an interaction term between sex and years of schooling in an attempt to determine whether an individual’s sex affects their expected return to education given a specific area of study. The regression results indicated that business majors boast the largest average expected return to education while engineering majors boast the lowest. Subsequently, in relation to business majors, sex was not found to have an impact on expected financial returns. Future research may build off the findings of this paper by expanding the scope to include all areas of study in addition to deciphering whether the expected return to education for a given major is consistent throughout all major Canadian universities.
估算不同学习领域之间的教育财务回报
Mincer回归方程用于计算2016年加拿大人口额外受教育年数的预期教育经济回报。数据取自2016年加拿大人口普查,以创建感兴趣的人口。然后从收集的数据中得出三个亚群,代表不同主要学习领域的加拿大人,即商业、人文和工程。使用这些子部分运行Mincerian回归来确定不同专业之间教育的财务回报如何不同。额外的多元回归包括性别和受教育年限之间的相互作用项,试图确定一个人的性别是否会影响他们在特定学习领域的预期教育回报。回归结果显示,商科专业的平均预期教育回报最高,工科专业的平均预期教育回报最低。随后,就商科专业而言,性别并未对预期财务回报产生影响。未来的研究可能会以本文的发现为基础,将范围扩大到包括所有研究领域,并解读在加拿大所有主要大学中,特定专业的预期教育回报是否一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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