史珍珍;曾湘泉;

• 1:中国人民大学劳动人事学院

摘要(Abstract)：

互联网为劳动经济学研究提供了全新的数据收集渠道。基于互联网的劳动力市场大数据具有动态性、及时性等特点,能用来分析传统调查数据无法分析的问题。本文在文献分析的基础上,讨论了劳动力市场大数据的产生过程、内涵及应用,并在此基础上总结了数据收集方式、测量指标,以及可能存在的问题与解决方法,最后对国内学者未来可以基于大数据对劳动力市场开展的研究进行了展望,以期推动大数据在国内劳动经济学研究中的应用。

关键词(KeyWords)： 大数据;劳动力市场;基于互联网的劳动力市场大数据;搜寻与匹配

Abstract:

Keywords:

基金项目(Foundation): 国家社会科学基金重点项目(13AZD005)

作者(Authors): 史珍珍;曾湘泉;

DOI: 10.16538/j.cnki.fem.2016.07.007

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• (1)参见http://www.cccblog.org/2012/03/29/obama-administration-unveils-200m-big-data-rd-initiative/。
• (2)这两家贸易杂志为Computerworld和Informationweek。五家在线工作搜索网站为www.monster.com;www.computerjobs.com;www.jobengine.com;www.jobs-online.com;www.peoplesearch.com。
• (1)EEA成员国包括欧盟国家、挪威、冰岛和列支敦士登。
• (1)在Monster.com上,当某条岗位空缺信息出现“抱歉,此空缺信息已不存在”的提示时,就表示该空缺信息已经失效。
• (2)在德国,对第M月失业率的估计,是依据第M-1月第3周和第4周、第M月第1周和第2周的失业数据进行的(Askitas和Zimmermann,2009)。
• (1)数据来源于中国互联网信息中心2016年1月发布的《中国互联网发展状况统计报告》。其中,网民是指过去半年内使用过互联网的6周岁及以上中国居民。