With the expansion of higher education for many years, the difficulty in graduates’ employment and the continuous decrease in the starting salaries have become the typical features of China’s labor market in recent years. Under pressure from all facets, many university graduates have to engage in jobs that do not match their education. The mismatch between education and jobs not only implies the inefficient allocation of resources invested in education, but also imposes penalty effect on labor wages. How is the effect of educational mismatch on wages? How to avoid measurement error and the heterogeneity from unobservable variable " ability”? What is the theoretical mechanism of the effect of educational mismatch on wages? Thus, this paper analyzes the effect of educational mismatch on wages on the basis of the models proposed by Duncan & Hoffman(1981), and Verdugo, R.R & Verdugo, NT(1989), by using the panel data of China Family Panel Studies(CFPS)from 2010 to 2014. We use a fixed effects model and instrumental variable estimates to address the two econometric problems faced by the empirical literature: omitted variable bias and measurement error. The fixed-effect instrumental variable estimates in this paper confirm that overeducated workers suffer from a wage penalty of 1.4%. Conversely, under-educated employees receive a bonus of 2.4%. Both omitted variable bias and measurement error are inevitable and important factors. The upward bias which is caused by the omission of unobservable variable " ability” is offset by the downward bias caused by measurement error to a large extent. In addition, this paper further tests the theoretical mechanism of the effect of education mismatch on employment. we find educational requirement for jobs is the vital determinant of wages for employees aged 40 or above, while it has no significant effect on wages for those under the age of 40. In other words, as employees’ working years are getting longer and longer, their wages gradually depend on their current productivity and skills, rather than the education they have received when they left the education system. Workers who take voluntary job changes are less prone to over-education. Therefore, as their career progresses, the employees constantly seek jobs that match their educational skills, so that the mismatch has been improved. It means that the occupation liquidity hypothesis holds in China. There is a compensation mechanism between education mismatch and human capital. The over-education can compensate for the lack of expression ability, understanding capability, and health at work. The enlightenment contained in the conclusion of this paper is as follows: firstly, the education authorities should reform the education system, so as to provide the skilled graduates needed by the market; secondly, colleges and universities should adjust the subject structure and personnel training structure actively and effectively to meet the needs of the market; what’s more, companies should establish the talent identification and multi-level reward and punishment mechanism so as to identify the over-educated workers and release their labor productivity; finally, the governments should strengthen career guidance and help university graduates to find more matched jobs so as to reduce the time of job seeking and weaken the wage premium problem.
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Journal of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YaoLan BaoXiaohua HuangJun, Vice Editor-in-Chief
The Penalty Effect of Educational Mismatch on Wages: An Empirical Study Based on Micro Panel Data of China
Journal of Finance and Economics Vol. 44, Issue 03, pp. 84 - 96 (2018) DOI:10.16538/j.cnki.jfe.2018.03.007
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Cite this article
Yan Min, Wang Weiguo. The Penalty Effect of Educational Mismatch on Wages: An Empirical Study Based on Micro Panel Data of China[J]. Journal of Finance and Economics, 2018, 44(3): 84–96.
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