Screening for Collusion: A Spatial Statistics Approach

Pim Heijnen, Marco Haan and Adriaan Soetevent

No 12-058/1, Tinbergen Institute Discussion Papers from Tinbergen Institute

Abstract: Published in the 'Journal of Economic Geography' .

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.

Keywords: collusion; variance screen; spatial statistics; K-function (search for similar items in EconPapers)
JEL-codes: C11 D40 L12 L41 (search for similar items in EconPapers)
Date: 2012-06-18
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://papers.tinbergen.nl/12058.pdf (application/pdf)

Related works:
Journal Article: Screening for collusion: a spatial statistics approach (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tin:wpaper:20120058

Access Statistics for this paper

More papers in Tinbergen Institute Discussion Papers from Tinbergen Institute Contact information at EDIRC.
Bibliographic data for series maintained by Tinbergen Office +31 (0)10-4088900 ().