意大利的反贫困措施:微观模拟分析

Nicola Curci, G. Grasso, Marco Savegnago, P. Recchia
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引用次数: 20

摘要

意大利于2019年推出的“城市补助计划”(RdC)已取代“包容性补助计划”(ReI),成为普遍的最低收入计划。在本文中,我们使用意大利银行的静态(非行为)微观模拟模型BIMic来衡量RdC在减少不平等方面的影响,以及作为绝对扶贫的新贡献。我们的研究结果没有考虑到政策变化带来的行为反应,但结果表明,RdC在减少不平等、降低绝对贫困的发生率、甚至强度方面是有效的。我们还记录了该福利设计的某些特征如何影响这些效应在人群中的分布。为此,我们模拟了RdC当前设计的两种假设变化:一种是将更多资源分配给有未成年人的大家庭(平均而言比其他家庭更需要),另一种是根据地理区域和市政规模考虑生活成本的差异。
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Anti-Poverty Measures in Italy: A Microsimulation Analysis
Introduced in 2019, the Reddito di cittadinanza (RdC) has replaced the Reddito di inclusione (ReI) as a universal minimum income scheme in Italy. In this paper, we use BIMic, the Bank of Italy’s static (non-behavioural) microsimulation model, to measure the effects of the RdC in terms of inequality reduction and, as a novel contribution, of absolute poverty alleviation. Our results, which do not account for behavioural responses to policy changes, show that the RdC is effective in reducing inequality, and attenuating the incidence, and even more so the intensity, of absolute poverty. We also document how certain features of the design of this benefit affect the distribution of these effects across the population. For this purpose, we simulate two hypothetical changes to the current design of the RdC: one that directs more resources to large households with minors (on average more in need than other households) and the other that takes into account the differences in the cost of living according to geographical areas and municipality size.
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