antitrust (version 0.99.10)

LogitNestsALM-class: Class “LogitNestsALM”

Description

The “LogitNestsALM” class contains all the information needed to calibrate a nested Logit demand system under the assumption that the share of the outside product is not known. Once the model parameters have been calibrated, methods exist that perform a merger simulation analysis under the assumption that firms are playing a differentiated products Bertrand pricing game.

Objects from the Class

Objects can be created by using the constructor function logit.nests.alm.

Extends

Class '>LogitNests, directly. Class '>Logit, by class '>LogitNests, distance 2. Class '>Bertrand, by class '>Logit, distance 3. Class '>Antitrust, by class '>Bertrand, distance 4.

Methods

For all of methods containing the ‘preMerger’ argument, ‘preMerger’ takes on a value of TRUE or FALSE, where TRUE invokes the method using the pre-merger ownership structure, while FALSE invokes the method using the post-merger ownership structure.

calcSlopes

signature(object)

Uncover nested Logit demand parameters. Assumes that firms are currently at equilibrium in a differentiated product Bertrand Nash pricing game.

elast

signature(object, preMerger = TRUE)

Computes a k x k matrix of own and cross-price elasticities.

Examples

# NOT RUN {
showClass("LogitNestsALM")           # get a detailed description of the class
showMethods(classes="LogitNestsALM") # show all methods defined for the class
# }