高等教育入学机会城乡差异研究——基于二元选择O-B分解方法  

Research on Urban-rural Difference of Higher Education Opportunities:Empirical Results through O-B Decomposition of Binary Choice

作　　者：蔡超[1] 许启发[2] 

机构地区：[1]山东工商学院统计学院,山东烟台264005 [2]合肥工业大学管理学院,安徽合肥230009

出　　处：《统计与信息论坛》2012年第4期87-93,共7页Journal of Statistics and Information

基　　金：高等学校全国优秀博士学位论文作者专项资金资助项目<自回归条件密度建模及其在金融领域应用研究>(200982);教育部人文社会科学研究青年基金资助项目<基于Copula技术的金融风险计量与控制>(08JC790062);山东省自然科学基金项目<分位数误差校正模型理论;方法与应用>(ZR2010GM005)

摘　　要：以CGSS数据为研究对象,通过二元选择O-B分解可以将二元选择概率分解为特征效应与系数效应的优势,对中国高等教育入学机会城乡差异的影响因素进行了定量分析,揭示中国居民高等教育入学选择行为的内在影响机制。实证结果表明:第一,高等教育入学选择行为同时受到个人能力和家庭背景两个方面因素的影响,二者不可偏废;第二,高等教育入学机会城乡差异显著,并且这一差异随时代发展呈现扩大趋势;第三,高等教育入学机会城乡差异主要由特征差异引起,不过系数效应(歧视)也占据了相当重要的位置,后者更应当受到关注。In this paper,O-B decomposition of binary choice,which can decompose the binary choice probability into characteristics effect and coefficients effect,is used to study the urban-rural difference of higher education opportunities.Empirical analysis is based on CGSS data.The results tell us three facts.Firstly,individual ability and family background have positive effects on to higher education opportunities,and each of them should not be overlooked.Secondly,the urban-rural difference of higher education opportunities is notability,and this difference is widening over time.Lastly,the characteristics effects are the dominant factors for the urban-rural difference of higher education opportunities.However,the coefficient effects（discrimination） also occupy a very important position,and more attention should be paid for the latter.

关 键 词：高等教育入学机会 LOGIT回归模型 二元选择O-B分解 城乡差异 

分 类 号：C812[社会学—统计学]