房价、城市规模与工资性收入差距——基于中国32个大中城市面板数据的实证检验

鞠方1; 李文君2; 于静静3

房价、城市规模与工资性收入差距——基于中国32个大中城市面板数据的实证检验

引用本文：鞠方1，李文君2，于静静3.房价、城市规模与工资性收入差距——基于中国32个大中城市面板数据的实证检验[J].财经理论与实践,2019,(5):95-101

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作者	单位
鞠方1，李文君2，于静静3	（1.湘潭大学商学院，湖南湘潭411105 2.长沙学院经济与管理学院，湖南长沙410022 3.北京大学深圳研究生院，广东深圳518055）

中文摘要:基于中国32个大中城市面板数据，拓展Matlack和Vigdor的模型，考量房价、城市规模与工资性收入差距之间的关系。结果表明：房价上涨会引起以基尼系数衡量的工资性收入差距缩小，但当城市规模处于较大水平时，房价上涨又会拉大工资性收入差距；城市规模扩大会显著缩小工资性收入差距，但当城市房价已处于较高水平时，城市规模的继续扩张则会拉大工资性收入差距。

中文关键词:房价城市规模工资性收入差距两步SYS-GMM

Housing Price, Population Scale and the Wage Income Gap——An Empirical Test Based on the Panel Data of 32 Large and Medium-sized Cities in China

Abstract:Based on the panel data of 32 large and medium-sized cities in China from 2002 to 2015, this paper extended Matlack & Vigdor's model, and considered the relationship between housing price, city size and wage income gap. The results showed that higher housing prices will reduce urban income gap of wages measured by the Gini coefficient, but when the city scale is at a relatively large level, the rise in housing prices will widen the wage income gap; the extension of the population scale can significantly narrow the wage income gap, but if the urban housing price has been at a high level, the continued expansion of the urban scale will increase the wage income gap.

keywords:Housing prices Population scale Wage income gap Two-step System GMM

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