关键词: Austerity Health outcomes Matching estimator Mortality rate Multiperiod difference-in-differences Spatial non-stationarity Time-series cross-sectional

Mesh : Humans Mortality / trends Male Female Italy / epidemiology Aged Middle Aged Vulnerable Populations Economic Recession Adult

来  源:   DOI:10.1016/j.ehb.2024.101408

Abstract:
This study examines the impact of austerity measures on mortality rates across Italian regions from 2003 to 2018. Since 2007, regions experiencing substantial healthcare financial deficits have been required to implement recovery plans (RPs). We use a recent difference-in-differences staggered matching estimator to assess the effects of this austerity policy on municipal-level monthly mortality rates. This allows us to evaluate the policy\'s spatial heterogeneity across treated municipalities, accounting for their distance from the nearest hospital. The analysis reveals a significant negative impact of austerity measures on health, particularly in peripheral areas and among vulnerable populations. Mortality rates are higher in regions under RPs, with this effect escalating with increasing distance from hospitals. The policy\'s impact is also more pronounced among vulnerable populations, with differences observed between genders and across seasons.
摘要:
这项研究调查了紧缩措施对2003年至2018年意大利各地区死亡率的影响。自2007年以来,经历大量医疗保健财政赤字的地区已被要求实施复苏计划(RP)。我们使用最近的差异交错匹配估计器来评估这种紧缩政策对市政级每月死亡率的影响。这使得我们能够评估政策在处理过的城市之间的空间异质性,说明他们离最近医院的距离.分析显示紧缩措施对健康有重大负面影响,特别是在周边地区和弱势群体中。在RPs下的地区死亡率较高,随着与医院距离的增加,这种影响也在升级。这项政策的影响在弱势群体中也更加明显,观察到性别之间和不同季节之间的差异。
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