Returns to different levels of education in Russia

S. Dolgikh, B. Potanin
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Abstract

PurposeEducation system stimulates the development of human capital and provides informative signaling allowing to differentiate productivity of individuals. If education system is efficient then higher levels of education usually associated with greater returns on labor market. To evaluate the efficiency of Russian education system we aim to estimate the effect of vocational education and different levels of higher education on wages.Design/methodology/approachWe use data on 8,764 individuals in the years 2019–2021. Our statistical approach addresses two critical issues: nonrandom selection into employment and the endogeneity of education choice. To tackle these problems, we employed Heckman’s method and its extension that is a structural model which addresses the issue of self-selection into different levels of education.FindingsThe results of the analysis suggest that there is a significant heterogeneity in the returns to different levels of education. First, higher education, in general, offers substantial wage premiums when compared to vocational education. Specifically, individuals with specialist’s and bachelor’s degrees enjoy higher wage premiums of approximately 23.59–24.04% and 16.43–16.49%, respectively, compared to those with vocational education. Furthermore, we observe a significant dis-parity in returns among the various levels of higher education. Master’s degree provides a substantial wage premium in comparison to both bachelor’s (19.79–20.96%) and specialist’s (12.64–13.41%) degrees. Moreover, specialist degree offers a 7.16–7.55% higher wage premium than bachelor’s degree.Practical implicationsWe identify a hierarchical pattern in the returns associated with different levels of higher education in Russia, specifically “bachelor-specialist-master.” These findings indicate that each level of education in Russia serves as a distinct signal in the labor market, facilitating employers' ability to differentiate between workers. From a policy perspective, our results suggest the potential benefits of offering opportunities to transition from specialist’s to master’s degrees on a tuition-free basis. Such a policy may enhance access to advanced education and potentially lead to higher returns for individuals in the labor market.Originality/valueThere are many studies on returns to higher education in Russia. However, just few of them estimate the returns to different levels of higher education. Also, these studies usually do not address the issue of the endogeneity arising because of self-selection into different levels of education. Our structural econometric model allows addressing for this issue and provides consistent estimates of returns to different levels of education under the assumption that individuals with higher propensity to education obtain higher levels of education.
俄罗斯不同教育水平的回报
目的 教育系统刺激人力资本的发展,并提供信息信号,从而区分个人的生产力。如果教育体系是有效的,那么教育水平越高,劳动力市场的回报率就越高。为了评估俄罗斯教育系统的效率,我们旨在估算职业教育和不同层次高等教育对工资的影响。我们的统计方法解决了两个关键问题:就业的非随机选择和教育选择的内生性。为了解决这些问题,我们采用了赫克曼方法及其扩展方法,该方法是一个结构模型,可以解决不同教育水平的自我选择问题。分析结果分析结果表明,不同教育水平的回报存在显著的异质性。首先,与职业教育相比,高等教育总体上提供了巨大的工资溢价。具体来说,与受过职业教育的人相比,受过专科和本科教育的人享有更高的工资溢价,分别约为 23.59-24.04% 和 16.43-16.49%。此外,我们还观察到不同层次的高等教育在收益方面存在明显的差异。与学士学位(19.79%-20.96%)和专科学位(12.64%-13.41%)相比,硕士学位提供了可观的工资溢价。此外,专科学位的工资溢价比学士学位高 7.16-7.55%。这些研究结果表明,在俄罗斯,每个教育水平在劳动力市场上都是一个独特的信号,有助于雇主区分不同的工人。从政策角度来看,我们的研究结果表明,提供从专科到硕士的免学费过渡机会具有潜在的好处。这种政策可能会增加接受高等教育的机会,并有可能为劳动力市场中的个人带来更高的回报。然而,其中只有少数研究对不同层次高等教育的回报率进行了估算。而且,这些研究通常没有解决由于自我选择不同教育水平而产生的内生性问题。我们的结构计量经济学模型可以解决这个问题,并在教育倾向较高的个人获得较高教育水平的假设下,对不同教育水平的回报率做出一致的估计。
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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