社会阶层认知分化的实证研究——基于有序Probit面板模型的估计

发布时间：2018-03-01 09:49

  本文关键词： 社会阶层认知分化 面板有序Probit 边际概率效应 地区差异　出处：《南方经济》2017年07期 　论文类型：期刊论文

【摘要】：文章基于2012与2014年中国劳动力动态调查数据,利用有序Probit面板模型对我国劳动力社会阶层认知分化进行影响因素分析。实证显示,具有先赋性和自致性因素优势的个体更倾向于作出较高的阶层认知;主观认知因素显著影响劳动力的社会阶层认知,"相对剥离感"不利于阶层认知的提升。上述结论关于主观认知解释变量的内生性和有序模型的非正态性设定都是稳健的。此外,这些因素对劳动力社会阶层认知分化的边际概率影响具有一定的地区差异性。这些结果对我们正确评估社会转型期的代际传承、弱势群体生存状态、青年人职业选择、劳动力身心健康等都具有政策意义。
[Abstract]:Based on the survey data of China's labor force dynamics in 2012 and 2014, this paper uses the ordered Probit panel model to analyze the factors influencing the cognitive differentiation of Chinese labor social strata. Individuals with preemptive and self-motivated factors tend to make higher stratum cognition; Subjective cognitive factors significantly affect the social stratum cognition of labor force, and "relative detachment" is not conducive to the promotion of stratum cognition. The above conclusions are robust on the endogenous nature of subjective cognitive explanatory variables and the non-normal setting of ordered models. These factors have a certain regional difference on the marginal probability of cognitive differentiation of the labor social stratum. These results are useful for us to evaluate the intergenerational transmission of the social transition period, the survival status of the disadvantaged groups, and the career choices of young people. The physical and mental health of labor force has policy significance.
【作者单位】： 中山大学岭南学院;合肥学院数理系;
【基金】：国家自然科学基金项目(71371199) 安徽高校自然科学研究重点项目(KJ2017A547)的资助
【分类号】：D013
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本文编号：1551418