| Summary: | 博士 === 國立政治大學 === 教育學系 === 90 === The phenomenon if overeducation has gradually appeared due to an expansion of higher education. This study is therefore designed to examine whether higher education has been over exceeded.
These findings of this study indicate that the Qualification Model is placed the highest ratio of overeducation while the Standard-Deviation Model is the lowest one. Compared the indicators of overeducation to international standard, Mode Model is the fittest indicator, yet, Standard-Deviation Model is not the best one because of its characteristics of normal distribution. In addition, compared Qualification Model to Non-Qualification Model, the Mean Model of Non-Qualification Model is closed to Qualification Model.
In the wage function of human capital theory, the variable of mismatch between education and occupation can be modified based on the bias of traditional view for education. In other words, the mismatch between education and occupation variable has a deep influence on wage. This finding differs from previous studies; wage depends on education factor only. When adding the variable of mismatch between education and occupation to wage function, it has more statistic explanation. Next, rate of returns in Taiwan, no matter overeducation or adequate-education is higher than rate of returns in American and Europe.
Due to an increase on years of education, working experience, working in public sector, the factors influence overeducation are getting more. In addition, among all occupations, professional is relatively reduced in the probability of overeducation, comparing to non-professional. Moreover, in the field of science, it is revealed that the humanities have a bit overeducation than the engineering.
Finally, Qualification Model explains less regarding salary than any models in examination. This indicates that personal view deices whether education influences wage or not. If taking the method of employer’s evaluation or the method of job analysis as a reference for Qualification Model, it will make Qualification Model become more reliable.
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