Screening for collusion: a spatial statistics approach
提出一种筛查局部卡特尔的方法，先检验是否存在与合谋行为一致的高分网点聚类，再确定最可疑区域供进一步反垄断调查，并应用于荷兰汽油市场。
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.