Econ Papers Daily / 期刊论文
家庭食物不安全与住房压力
Household Food Insecurity and Housing Stress
摘要
This study provides new empirical evidence on the association between housing cost burden and food insecurity in the U.S. Leveraging nationally representative longitudinal data from the 2020–2023 Survey of Income and Program Participation (SIPP) and a Double Machine Learning (DML) framework, we examine whether housing cost burden is associated with multiple food insecurity and very low food security (VLFS) outcomes, and whether this association varies by tenure transition. When housing cost burden is defined as housing costs exceeding 30% of income, we find no relationship between housing cost burden and food insecurity after adjustment for observed pre‐treatment household characteristics. When a 50% threshold is used, however, housing cost burden is associated with higher binary food insecurity and food insecurity depth among households that remain non‐owners throughout the study period. Broadly consistent with previous work, stable homeownership appears to attenuate this association in some specifications. The association is also more apparent for broader food insecurity outcomes than for VLFS. These findings highlight the importance of housing‐burden severity and tenure status in understanding links between housing affordability and food hardship.
中文摘要
本研究为美国住房成本负担与粮食不安全之间的关联提供了新的经验证据。我们利用2020—2023年收入与项目参与调查（SIPP）的全国代表性纵向数据以及双重机器学习（DML）框架，考察住房成本负担是否与多种粮食不安全和极低粮食安全（VLFS）结果相关，以及这种关联是否因产权转换而异。当住房成本负担被定义为住房成本超过收入的30%时，我们在调整观察到的处理前家庭特征后，未发现住房成本负担与粮食不安全之间存在关系。然而，当采用50%阈值时，住房成本负担与在整个研究期间始终为非业主的家庭中更高的二元粮食不安全和粮食不安全深度相关。与以往研究大体一致，稳定的住房所有权在某些设定中似乎减弱了这种关联。这种关联在更广泛的粮食不安全结果上也比在VLFS上更为明显。这些发现凸显了住房负担严重程度和产权状况在理解住房可负担性与粮食困难之间联系方面的重要性。