Screening for Collusion: A Spatial Statistics Approach

We develop a method to screen for local cartels. We first test whether there is statistical evidence of clustering of outlets that score high on some characteristic that is consistent with collusive behavior. If so, we determine in a second step the most suspicious regions where further antitrust investigation would be warranted. We apply our method to build a variance screen for the Dutch gasoline market.

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Year of publication:	2012
Authors:	Heijnen, Pim ; Haan, Marco A. ; Soetevent, Adriaan R.
Publisher:	Amsterdam and Rotterdam : Tinbergen Institute
Subject:	collusion \| variance screen \| spatial statistics \| K-function

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Series:	Tinbergen Institute Discussion Paper ; 12-058/1
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	769986048 [GVK] hdl:10419/87556 [Handle] RePEc:dgr:uvatin:20120058 [RePEc]
Classification:	C11 - Bayesian Analysis ; D40 - Market Structure and Pricing. General ; L12 - Monopoly; Monopolization Strategies ; L41 - Monopolization; Horizontal Anticompetitive Practices
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010326538