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. <P> Coverage in The Economist (December 15, 2012).

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Year of publication:	2012-06-18
Authors:	Heijnen, Pim ; Haan, Marco A. ; Soetevent, Adriaan R.
Institutions:	Tinbergen Instituut
Subject:	collusion \| variance screen \| spatial statistics \| K-function

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Extent:	application/pdf
Series:	Tinbergen Institute Discussion Papers.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series Tinbergen Institute Discussion Papers Number 12-058/1
Classification:	C11 - Bayesian Analysis ; D40 - Market Structure and Pricing. General ; L12 - Monopoly; Monopolization Strategies ; L41 - Monopolization; Horizontal Anticompetitive Practices
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011255447