Learn R Programming

antitrust (version 0.99.26)

AuctionCap-Methods: Auction Cap Methods

Description

calcBuyerExpectedCost computes the expected amount that the buyer will pay to the auction winner.

calcBuyerValuation computes the value to the buyer of the outside option.

calcExpectedLowestCost computes the expected lowest cost of the winning bid.

calcExpectedPrice computes the expected price paid by the buyer.

calcOptimalReserve computes the bidder's optimal reserve price.

calcSellerCostParms calibrates the parameters of the Seller Cost CDF, as well as the reserve price, if not supplied.

cdfG calculates the probability that a cost draw less than or equal to ‘c’ is realized for each firm. If ‘c’ is not supplied, the buyer reserve and total capacity is used.

Usage

# S4 method for Auction2ndCap
calcSellerCostParms(object, ...)

# S4 method for Auction2ndCap calcBuyerValuation(object)

# S4 method for Auction2ndCap calcOptimalReserve(object, preMerger = TRUE, lower, upper)

# S4 method for Auction2ndCap calcBuyerExpectedCost(object, preMerger = TRUE)

# S4 method for Auction2ndCap cdfG(object, c, preMerger = TRUE)

# S4 method for Auction2ndCap calcExpectedPrice(object, preMerger = TRUE)

# S4 method for Auction2ndCap calcExpectedLowestCost(object, preMerger = TRUE)

Arguments

object

An instance of the respective class (see description for the classes)

...

Additional arguments to pass to calcSellerCostParms

preMerger

If TRUE, the pre-merger ownership structure is used. If FALSE, the post-merger ownership structure is used. Default is TRUE.

lower

The minimum for the bidder's reserve price.

upper

The maximum for the bidder's reserve price.

c

cdfG calculates the probability that a cost draw less than or equal to ‘c’ is realized for each firm. If ‘c’ is not supplied, the buyer reserve and total capacity is used.

Author

Charles Taragin ctaragin+antitrustr@gmail.com

Examples

Run this code
showMethods(classes="Auction2ndCap") # show all methods defined for the class

Run the code above in your browser using DataLab