回归不连续设计
住宿
人口经济学
偏移量(计算机科学)
低收入
跳跃
分布(数学)
社会救助
经济
心理学
劳动经济学
医学
经济增长
计算机科学
数学
数学分析
物理
病理
量子力学
神经科学
程序设计语言
作者
Gedeão Locks,Josselin Thuilliez
标识
DOI:10.1016/j.jue.2023.103547
摘要
In France, childless adults younger than 25 face hard-to-meet eligibility conditions to enroll in the minimum income program. The restrictive requirements generate a “jump” in the number of recipients at ages around 25. We use a Regression Discontinuity (RD) design to assess the impact of the French minimum income program (RSA) on users of accommodation and meal distribution services. We find that the RSA benefit reduces the homelessness rate by 20% among young adults aged 22 to 27. This result is driven by new RSA recipients who have started paying partial rent to third parties, and the probability of becoming a regular tenant increases after age 26. We simulate the effects of lowering the program’s minimum age eligibility on the probability of being homeless. Our findings suggest that in programs directed at homeless individuals, around 60% of expenditures are offset by savings in social assistance costs to the homeless.
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