【作者】 韩冰；

【导师】 徐昕；

【作者基本信息】 首都经济贸易大学 ， 保险（专业学位）， 2019， 硕士

【摘要】 我国农民工对医疗服务的实际需求比较高,但是农民工自身对除劳动报酬外的其他劳动权益并不重视,并且在复杂的外界环境因素的影响下,农民工整体的医疗保障水平实际上仍旧偏低。本文利用2016年CMDS数据研究农民工参加城镇职工医疗保险的影响因素。首先对两代农民工的基本情况进行了描述性统计分析,然后采用二元Logistic回归模型对农民工的参保影响因素及其代际差异进行实证分析。在研究农民工参保的14个影响因素中,就业对农民工参保概率的影响程度最大,并且发现农民工的参保情况存在显著差异,农民工的自身主观因素以及外部客观因素对参保概率具有显著影响。对农民工参保影响因素的代际差异进行分析后发现显著性相对较高的10个因素在两个模型中的回归结果不同,结果表明在新生代模型中,职业类型变量中的技术类分组和住房来源变量中的单位免费房及其他住房分组未通过显著性检验;在第一代模型中,性别变量以及住房来源变量中的单位免费房和其他住房分组未通过显著性检验,并且不同的影响因素对两代农民工的影响不同。更多还原

【Abstract】 The actual demand for medical services by migrant workers in China is relatively high.However,due to the fact that migrant workers do not pay attention to other labor rights,and under the influence of external environmental factors,the overall medical insurance level of migrant workers is still lowThis paper uses the 2016 CMDS data to study the influencing factors of migrant workers participating in urban workers’ medical insurance.Firstly,the descriptive statistical analysis of the status quo and characteristics of migrant workers was carried out.Then,the binary logistic regression model was used to empirically analyze the influencing factors of migrant workers’ participation and the intergenerational differences of the influencing factors.Among the 14 influencing factors of migrant workers’ insured,the employment factor has the greatest impact on the participation probability of migrant workers,and through research,it is found that there is a significant difference in the participation rate of migrant workers’ basic medical insurance,and the migrant workers’ own endowment Conditions and external objective environmental factors have a significant impact on the probability of participation.After analyzing the intergenerational differences of the influencing factors of migrant workers’ participation,the regression results of the 10 factors with relatively high significance are different in the two models.The results show that in the new generation model,the occupational types under the socioeconomic characteristics dimension The technical grouping of variables,the unit free housing and other housing groups in the housing source variables did not pass the significance test;in the first generation model,the gender variables in the individual characteristic dimension and the housing source variables in the socioeconomic characteristics dimension Unit free rooms and other housing groups failed to pass the significance test.更多还原