Abstract

Based on household data in CFPS 2018, this article uses empirical analysis methods such as descriptive statistical analysis, OLS and Logit regression, and Sharpley value decomposition to study the issue of household housing inequality in China. The research results show that the issue of household housing inequality in China is reflected in three housing level indicators: housing value, housing area, and whether there is real estate ownership. The housing level is affected by regional factors and family factors, and the contribution rate of each factor is different for different housing level indicators.

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