题 目：Digging into online job-seeking resume data merged with online recruitment advertisement data: gender differences, personal traits, and overeducation

报告人：郑燕巧   浙江财经大学金融学院   助理教授

主持人：宋华盛  教授    浙江大学经济学院

时 间：2018年11月2日星期五 14：00--15：30

地 点：浙江大学玉泉校区经济学院418室  

郑燕巧，美国纽约州立大学布法罗分校经济系博士，浙江财经大学金融学院助理教授。其研究兴趣为劳动经济学、城市经济学。

摘要：One self-fulfilling explanation for gender pay differences in labor markets in that women propose lower desired salaries. By using an actual job seeking resume database and applying text mining skills, we are able to observe both the extent of gender differences in desired salaries and job related self-view. We also use the data to explore overeducation issue. The higher education expansion since 1999 in China has produced a huge supply of highly educated labor, which cannot be effectively utilized by the industry in a short time. Overeducation results as workers possess excess educational qualifications relative to those their jobs require, which has a far-reaching impact on workers' own career and also economic growth at large. We merge and match job resume database and job advertisement database, and quantitatively analyzes the degree and distribution of educational mismatch between the labor supplier and the labor demander from the aggregate, industrial and individual levels, and estimates pay penalty experienced by overeducated workers.

CRPE秘书处
2018-10-29