Bertoli Paola, Grembi Veronica
University of Economics, Prague, and CERGE-EI Teaching Fellow, Prague, Czech Republic.
Mediterranean University of Reggio Calabria, Reggio Calabria, Italy.
Health Econ. 2017 Sep;26 Suppl 2:78-91. doi: 10.1002/hec.3571.
We provide a new assessment of the effect of hospital proximity in an emergency situation-road-traffic accidents-exploiting the exogenous variation in the proximity to cities that are legally allowed to have a hospital on the basis of their population size. Our instrumental variable results show that a one-standard-deviation increase in the distance to the nearest hospital (5 km) raises the fatality rate by 13.84% at the sample average. This figure is equal to 0.92 additional deaths per 100 accidents. We show that both ordinary least squares and difference-in-differences estimates, common approaches in the literature, provide a downward-biased measure of the true effect of hospital proximity because they do not fully solve spatial sorting problems. Proximity is more important when the level of road safety is low, when emergency services are less responsive, and when the nearest hospital has relatively low quality standards.
我们利用基于人口规模合法允许拥有医院的城市附近地区的外生变化,对紧急情况下(道路交通事故)医院距离的影响进行了新的评估。我们的工具变量结果表明,在样本均值处,到最近医院的距离增加一个标准差(5公里)会使死亡率提高13.84%。这个数字相当于每100起事故中额外增加0.92例死亡。我们表明,文献中常用的普通最小二乘法和差分估计法,都对医院距离的真实影响给出了有向下偏差的衡量,因为它们没有完全解决空间排序问题。当道路安全水平较低、应急服务响应较慢以及最近医院的质量标准相对较低时,距离的影响更为重要。