区域分割下农民工收入差距的回归分解  

Regression-Based Decomposition on Income Gap of Rural Migrant Workers Under the Background of Regional Segmentation

作　　者：向书坚[1] 李芳芝[2,1] 李超[2] 

机构地区：[1]中南财经政法大学统计与数学学院 [2]安徽财经大学统计与应用数学学院

出　　处：《统计研究》2014年第2期49-54,共6页Statistical Research

摘　　要：根据CHIPS《外来务工人员调查》数据,基于夏普里值(Shapley Value)的回归分解,本文考察区域分割、人力资本、社会资本和单位特征等因素对农民工收入差距的影响及贡献大小。研究结论:区域因素对农民工收入差距的贡献最大,对东中西部地区组内差距的贡献较小;健康和经验因素的贡献仅次于区域因素;农民工从事的行业和职业类型是农民工收入差距的重要成因;性别因素的贡献位居中等,西部地区尤为严重;受教育年限对农民工收入差距的贡献比城镇职工低;单位特征因素对西部地区农民工收入差距的贡献较大,而对东中部地区和全部样本的贡献都很小;社会资本的贡献微弱。According to the survey data of CHIPS migrant workers, based on regression-hased deeompnsitinn using shapley value, this paper examines regional segmentation, human capital, social capital and unit charaeteristies ＇ contribution to migrant workers＇ income gap. In the conclusions, regional faetor＇s contribution to the into〉me gap of rural migran! workers is the largest, which is smaller to the eastern, eentral and western within-gap. Health and experience faetors＇ contribution is the seeond largest. The industry and prufessiunal type thai migrant workers engagmt in is an important cause of income gap of migrant workers. The contribution of gender is moderate, which is serious in the west. Education＇s contribution to the income gap of rural migrant workers is lower than that of urban workers; unit characteristic＇ s contribution to the income gap uf rural migrant workers in the western region is large. On the contrary, it＇ s small to the eastern, central regions and all samples. The contribution of social capital is very low.

关 键 词：区域分割 收入差距 夏普里值 回归分解 

分 类 号：O212[理学—概率论与数理统计]