本研究使用2007-2013年主計總處人力運用調查資料，選取年齡、教育程度、性別以及地區等變數，利用邏輯斯蒂(Logistic)迴歸分析，探討年齡、教育程度以及科系對於青年失業率之影響。
實證結果發現，未加入年齡前，教育程度越高失業率越高；加入年齡後，影響高失業率主要因素是年齡，而非教育程度，特別是15-24歲青年；本研究同時發現科系間的失業率有顯著的差異，例如醫、軍警及教育的失業率較低，文、商、管理及傳播的失業率較高。
The purpose of this study explores the effects of education, age, and college major upon the youth unemployment in Taiwan.
For the empirical study, we use the 2007-2013 Man Power Utilization Survey from the Directorate-General of Budget. Using the Logistic regression analysis, when omitting the variable of age, the empirical result shows that when omitting the variable of age, schooling reveals a significantly positive effect on the unemployment rate. However, after including age as an additional explanatory variable, age has replaced schooling as the most important factor in determining the unemployment rate, especially for the aged 15-24 of youth group. Our empirical study also finds that the unemployment rates among different college majors are significantly different. For example, the medicine, police and education related college majors have lower unemployment rates than the engineering major. Other majors like liberal art, business, management and communication have higher unemployment rates.
