摘要
本文运用中国健康与营养调查数据(CHNS),在Mincer工资方程中引入住房和医疗非货币收益。为了避免住房、医疗等非货币收益和教育内生性对估计结果带来的偏误,本文用配偶的特征变量做工具变量,采用两阶段最小二乘法(2SLS)估计后,我们发现在18岁到45岁的已婚男性样本中,非货币收益和工资收入之间存在显著的替代关系,住房福利可能使工资降低64.69%,医疗福利可能使工资降低14.06%。进一步,本文发现,考虑住房、医疗福利等非货币收益后,教育回报率显著上升。因此,非货币收益是理解工资差异和估计教育回报需要考虑的重要因素。
Using China Health and Nutrition Survey(CHNS) data,we find that individuals who get non-monetary benefits such as housing subsidy and health insurance from work have significantly lower wages,as predicted by the compensating wage differential model.When non-monetary benefits are included in wage equation,the return to education is larger than when it is not included.The results show that non-monetary benefit is an important factor to consider when investigating wage differentials and estimating returns to education.
出处
《经济学报》
2014年第3期107-121,共15页
China Journal of Economics
基金
国家自然科学基金面上项目"流动性约束与中国家庭金融行为"(71373213)
中组部"青年拔尖人才支持计划"
教育部"新世纪优秀人才支持计划"
中央高校"基本科研业务经费专项资金"资助