The accuracy of hospital merger screening methods
The accuracy of hospital merger screening methods
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DOI：
10.1111/1756-2171.12215
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发表时间：
2017-12-01
影响因子：
2.3
通讯作者：
Garmon, Christopher
中科院分区：
文献类型：
--
作者：
Garmon, Christopher
本文分析了反垄断机构和法院使用的各种前瞻性医院并购筛查方法的准确性。将使用合并前数据计算的筛选方法的预测与相对于对照测量的 28 家医院合并后的实际合并后价格变化进行比较。评估的筛选方法包括传统的结构性指标（例如赫芬达尔-赫希曼指数）、源自医院竞争模型的指标（例如分流率、支付意愿和价格上涨压力）以及医院合并模拟。人们发现，与传统方法相比，支付意愿和价格上涨压力在标记潜在的反竞争合并以供进一步调查方面更为准确。
This article analyzes the accuracy of various prospective hospital merger screening methods used by antitrust agencies and the courts. The predictions of the screening methods calculated with pre-merger data are compared with the actual post-merger price changes of 28 hospital mergers measured relative to controls. The evaluated screening methods include traditional structural measures (e.g., Herfindahl-Hirschman Index), measures derived from hospital competition models (e.g., diversion ratios, willingness-to-pay, and upward pricing pressure), and hospital merger simulation. Willingness-to-pay and upward pricing pressure are found to be more accurate at flagging potentially anticompetitive mergers for further investigation than traditional methods.