Screening for collusion: A spatial statistics approach

Pim Heijnen*, Marco A. Haan, Adriaan R. Soetevent

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
109 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)417-448
Number of pages32
JournalJournal of Economic Geography
Volume15
Issue number2
Early online date10-May-2014
DOIs
Publication statusPublished - 2015

Keywords

  • Collusion
  • variance screen
  • spatial statistics

Fingerprint

Dive into the research topics of 'Screening for collusion: A spatial statistics approach'. Together they form a unique fingerprint.

Cite this