关键词: 居住条件, 抑郁状况, 分位数回归, 门槛回归

Abstract: With the continuous increase in the scale and proportion of the older population, the situation of population aging is becoming increasingly severe, and older people's depression is turning to be prominent. In the context of the implementation of the national strategy to address the problem of population ageing, this paper explores the influence of housing conditions on older people's depression based on the 2018 China Health and Retirement Longitudinal Study Data (CHARLS2018). Through using the two-stage least square regression, quantile regression, and threshold regression models, our results show that good living conditions can significantly alleviate older people's depression after effectively addressing the endogenous problem of the model, and the conclusion is robust. The improvement effect of living conditions is more pronounced as the degree of older people's depression increases. Furthermore, the influence of living conditions on older people's depression differs significantly among different age groups. Compared to individuals aged 60-64, the coefficient is higher for the people aged over 64. Enhancing the quality and ageing suitability of older people's housing is an effective approach to alleviate their depression.

Keywords: Living Conditions, Depression, Quantile Regression, Threshold Regression