基于logistic回归分析.docx

基于SPSS logistic回归分析探究不同月均收入的男女比例 一一一 华北科技学院 基础部 北京东燕郊 065201 摘要：在计划经济时代,由于中国政府推行男女性别平等的就业制度和工资分配制度,因而城市劳动力性别工资差异并不明显。经济改革以来,伴随着由计划经济向市场经济的转型,工资分配机制发生了根本改变,性别工资差异越来越明显。性别分割是我国劳动力市场上一直存在的一种现象,性别收入差距总体趋势在扩大;个体特征差异能够在一定程度上解释性别收入差异,现阶段性别收入差异在很大程度上是由于劳动者本身的人力资本水平引起的,是正常合理的范围;歧视仍然是造成性别收入差距的一个原因,女性在获得教育的机会上还是比男性要低,而且女性很难进入到高收入行业和职业,使得在教育方面女性仍然处于不利地位。本文将运用SPSS二元回归分析探究不同月均收入对应的男女比例并得出结论，旨在对分析结果提出一些有建设性的建议。 关键词：logistic回归分析；SPSS软件；人均收入；性别比例 Based on SPSS logistic regression analysis to explore the sex ratio of different monthly income NIU Xiaoyu （North China institute of science and technology，Beijing，065201，China） Abstract: In the era of planned economy, as a result of the Chinese government to implement gender equality employment system and salary distribution system, and urban labor gender wage gap is not obvious. Since the economic reform, with the transition from planned economy to market economy, fundamental changes have taken place in wage distribution mechanism, the gender wage gap is more and more obvious. Gender segmentation is Chinas labor market has been a phenomenon of gender overall trend in the expanding income gap; Individual characteristics can partly explain the gender income differences, gender differences at present stage is largely caused by the human capital level of laborer itself, is a normal reasonable range; Discrimination is still a cause of the gender pay gap, women in the opportunity to gain education or lower than men, women and it is hard to get into to high income industry and profession, making women still at a disadvantage in terms of education. This paper will use SPSS binary regression analysis to explore the sex ratio of different monthly income and concludes that, to the results of the analysis put forward some constructive Suggestions. Keywords: Logistic regression analysis; SPSS software; Per capita income; Sex ratio 1.引言 经济改革之前，中国 女性劳动年龄人口基本上实现了普遍就业，女性 劳动力 参与率超过90%， 女性劳动力几乎占总劳动力的半数(48%)，女性就业者 平均工资占 男性就业者平均工资的84%。与世界上其他国家相比