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

摘要： 随着老年人口规模和比例的持续攀升，中国人口老龄化形势越来越严峻，与之伴随的老年人抑郁状况也越来越突出。在实施积极应对人口老龄化国家战略背景下，采用2018年中国健康与养老追踪调查（CHARLS2018）数据，通过二阶段最小二乘法和分位数回归、门槛回归的计量方法，探讨居住条件对老年人抑郁状况的影响。研究发现，在有效解决模型的内生性问题后，居住条件的改善能够显著缓解老年人的抑郁状况，且结论具有稳健性；老年人抑郁程度越高，居住条件改善的效应越明显；居住条件对不同年龄段老年人抑郁状况的影响具有明显差异，其对64岁以上老年人的影响相比60~64岁老年人更大。为此，加快城乡老年住房改造、提高老年人居住环境的适老化程度是缓解老年人抑郁状况的有效措施。

关键词: 居住条件, 抑郁状况, 分位数回归, 门槛回归