中国大城市家政女工从业现状:基于网络大数据的分析

Employment Status of Female Domestic Workers from Large Chinese Cities: Evidence from Online Big Data

本文利用网络大数据分析了2015-2016年中国六大城市超过7万名家政女工的就业情况,发现本市场从业人员的预期月工资较2014年有所增加,平均教育程度为初中。根据Mincer工资方程,年龄、受教育年限和从业经验是决定月工资的重要因素。北京和上海这两大城市外来劳动力占据了超过99%的家政女工市场,来源地分布上以邻近省份为主。

This study uses online big data during 2015-2016 covering over 70 thousand female domestic workers from six larger Chinese cities,and finds that first,expected monthly wage of female domestic workers increased relative to the level in 2014;second,education level of this group is on average middle school;third,age,schooling and experience are three key determinants of monthly wage according to Mincer wage function;and last,in Beijing and Shanghai migrant workers account for more than 99% of the market where the majority of them originates from neighbouring provinces.