Calculate the marginal cost reductions necessary to restore premerger prices in a merger, or the Upwards Pricing Pressure Index for the products of merging firms playing a differentiated products Bertrand pricing game.
# S4 method for ANY
cmcr(object,market=FALSE)
# S4 method for ANY
upp(object)
An instance of one of the classes listed above.
If TRUE, calculates (post-merger) share-weighted average of metric. Default is FALSE.
cmcr
returns a vector of length k equal to CMCR for the
merging parties' products and 0 for all other products.
upp
returns a vector of length k equal to the net UPP for the
merging parties' products and 0 for all other products.
cmcr
uses the results from the merger simulation and calibration
methods associates with a particular class to compute the compensating
marginal cost reduction (CMCR) for each of the merging parties' products.
Like cmcr
, upp
uses the results from the merger simulation and
calibration to compute the upwards pricing pressure of the merger on
each merging parties' products.
cmcr.bertrand
is a function that calculates CMCR
without the need to first calibrate a demand system and simulate a
merger. Likewise,upp.bertrand
calculates net UPP
without the need to first calibrate a demand
system and simulate a merger.