第二代农民工劳动收入影响因素——基于OLS与Multinominal Regression方法  

The Study on Influence Factors of Second-Generation of Migrant Workers' Income——Based on OLS and Multinominal Regression Methods

作　　者：惠源[1] 胡宏伟[1] 

机构地区：[1]武汉大学社会保障研究中心,湖北武汉430072

出　　处：《河北理工大学学报（社会科学版）》2010年第2期12-16,共5页Journal of Hebei Polytechnic University:Social Science Edition

基　　金：教育部"国际金融危机应对研究"应急课题资助(2009JYJR004);国家自然科学基金重点项目"中国补充养老保险制度研究"(70533040)支持

摘　　要：伴随经济快速发展,中国工业化、城市化加速,进城农民群体出现并且规模迅速膨胀。与第一代农民工相比,第二代农民工在教育、城市化意愿等方面有不同特征,尤其是其在工作收入及收入影响因素方面有了新的变化趋势。基于明瑟扩展方程,通过对典型数据的分析,使用最小二乘法(OLS),测量了年龄、教育、经验等因素对第二代农民工劳动收入的是否存在影响,以及影响的方向和程度,并使用多分变量逻辑斯蒂回归(Multinominal Logistic Regression)方法进行了进一步验证。发现教育水平和性别差异对第二代农民工的劳动收入有显著影响,年龄、就业方式、工作单位性质等因素也有一定程度影响,但影响并不稳定。在研究结论的基础上提出了加强对第二代农民工的教育和就业扶持等对策性思考。Accompanied by the rapid development of economy, Speedup of China＇ s industrialization and urbanization, emergence of migrant groups and the rapid expansion of the scale. Compared to the first generation of migrant workers, the second generation of migrant workers have different characteristics in education, urbanization and other aspects, especially its impact on income and income factors that have new trends. Based on the Mincer equation extended by the analysis of typical data, the use of least squares （OLS）, measured the age, education, experience and other factors on the second generation of migrant workers of the existence of labor income impacts, as well as the direction and extent of impact, and the use of multi-variable logistic regression （Muhinominal Logistic Regression） method for further validation. Found gender differences in educational level and the second generation of migrant workers on the labor income has a significant influence, age, employment, the nature of work and other factors have to some extent, but the impact is not stable. At the conclusion of the study based on the strengthening of the second generation of migrant workers to support the education and employment, such as thinking countermeasures.

关 键 词：第二代农民工 劳动收入 影响因素 

分 类 号：C913.2[经济管理]