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    经济经纬 2015 Issue (1) :131-136
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    流动人口就业者工资性别差异及影响因素研究——基于2012年流动人口动态监测数据的经验分析
    罗俊峰1,2,童玉芬1
    1.首都经济贸易大学 劳动经济学院 , 北京 100070;
2.山西大学 商务学院, 山西 太原 030031
    Salary Gender Differences and Influencing Factors for the Employed-Migrants ——An Empirical Analysis Based on the Dynamic Monitoring Data of the Migrant in 2012
    LUO Jun-feng1,2, TONG Yu-fen1
    1.School of Labour Economics, Capital University of Economic and Business,Beijing 100070,
China;2.Business College, Shanxi University, Taiyuan 030031,China
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摘要 笔者利用2012年原国家计生委流动人口动态监测数据,采用Mincer工资方程、Cotton分解模型,分析流动人口就业者工资性别差异及其影响因素。研究发现,低学历、农村户籍,在落后地区、劳动密集型等低端行业就业的流动人口工资低且性别差异更明显。工资性别差异主要由性别歧视以及其他不可观测因素引起,且年龄、外出务工年限、户口性质对歧视的影响较大。加快建立城乡统一的劳动力市场,保护女性流动人口就业者的合法权益迫在眉睫。
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罗俊峰
童玉芬
关键词流动人口就业者   工资性别差异   歧视     
Abstract: Based on the dynamic monitoring data of the migrant in 2012 from National Family Planning Commission, the paper analyses the salary gender differences and influencing factors for the employed-migrant by adopting the method of descriptive statistics, Mincer wage equation, Cotton decomposition model. Studies have found that the salary gender differences are even more serious for those who are low level of education, rural household registration, and employed in labour-intensive industries. The salary gender differences are mainly caused by the factors of the gender discrimination and other observations, which greatly affected by the age, the experience and the household registration. It is imminent to accelerate the establishment of a unified labor market and protect the legal rights and interests of female migrants.
KeywordsKey words:The Employed-migrants   Salary Gender Differences   Discrimination     
收稿日期 2015-01-15; 接受日期 2015-01-15;
作者简介: 罗俊峰(1979-),女,山西屯留人,首都经济贸易大学劳动经济学院博士研究生,山西大学商务学院讲师,主要从事就业与工资研究;童玉芬(1961-),女,陕西延川人,首都经济贸易大学劳动经济学院教授、博士生导师,主要从事就业、人口经济研究。
引用本文:   
罗俊峰,童玉芬.流动人口就业者工资性别差异及影响因素研究——基于2012年流动人口动态监测数据的经验分析[J].  经济经纬, 2015,1: 131-136
LUO Jun-feng, TONG Yu-fen.Salary Gender Differences and Influencing Factors for the Employed-Migrants ——An Empirical Analysis Based on the Dynamic Monitoring Data of the Migrant in 2012[J]  Economic Survey, 2015,V32(1): 131-136
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