在不完全市场份额信息下模拟赫芬达尔-赫希曼指数

Simulation of a Hirschman–Herfindahl index without complete market share information

Health Economics · 2003
被引 24
人大 A-ABS 3

中文导读

用最大似然法模拟赫芬达尔-赫希曼指数,解决市场份额数据不全或延迟的问题,帮助监管机构通过调查最大三到四家企业来实时衡量市场集中度。

Abstract

This paper utilizes maximum likelihood methods to simulate a Hirschman-Herfindahl index (HHI) for markets in which complete market share information is unavailable or delayed. Many jurisdictions either may be unable to administratively collect data or experience delays in collection that make data regarding turbulent markets of limited use. With the development of this method, regulatory authorities monitoring health-care competition or health-care firms can now use market surveys--in which reliable recall is often limited to the largest three or four firms--to produce an on-the-spot measure of market concentration.

HHI模拟最大似然法不完全市场份额市场集中度