collusion-methods: Methods For Evaluating Collusion

Description Usage Arguments Details Value


This page describes methods that may be used to explore how a merger affects firms' incentives to collude.


## S4 method for signature 'Bertrand'


Let k denote the number of products in the market, and let c denote the number of firms in a coalition


An instance of one of the classes listed above.


A length c vector of integers indicating the index of the products participating in the coalition.


A length k vector of values between 0 and 1 that represent the product-specific discount rate for all products produced by firms particiapting in the coalition. NAs are allowed


TRUE returns pre-merger result, FALSE returns post-merger results. Default is TRUE.


TRUE recalculates demand and cost parameters under the assumption that the coalition specified in ‘coalition’ is operating pre-merger. FALSE (the default) uses demand and cost parameters calculated from the ‘ownerPre’ matrix.


Additional argument to pass to calcPrices


calcProducerSurplusGrimTrigger calculates ‘preMerger’ product producer surplus (as well as other statistics – see below), under the assumption that firms are playing an N-player iterated Prisoner's Dilemma where in each period a coalition of firms decides whether to cooperate with one another by setting the joint surplus maximizing price on some ‘coalition’ of their products, or defect from the coalition by setting all of their products' prices to optimally undercut the prices of the coalition's products. Moreover, firms are assumed to play Grim Trigger strategies where each firm cooperates in the current period so long as every firm in the coalition cooperated last period and defects otherwise. product level ‘discount’ rates are then employed to determine whether a firm's discounted surplus from remaining in the coalition are greater than its surplus from optimally undercutting the coalition prices' for one period plus its discounted surplus when all firms set Nash-Bertrand prices in all subsequent periods.


calcProducerSurplusGrimTrigger returns a data frame with rows equal to the number of products produced by any firm participating in the coalition and the following 5 columns

antitrust documentation built on May 18, 2018, 9:03 a.m.