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101 lines (89 loc) · 4.94 KB
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############################################
## Récupération des paramètres de demande ##
## en situation de monopole #############
##
###################################
## Import des données #############
library(readxl)
library(lubridate)
library(plyr)
setwd("C:/Users/Bertrand/Documents/Competition_Policy_Cases/Codes/Codes")
# Import des données
Bicilandia <- read_excel("Damages.xls",
sheet="Bicilandia")
Bicilandia$Month = ymd(Bicilandia$Month)
Flandria <- read_excel("Damages.xls",
sheet="Flandria")
Flandria$Month <- ymd(Flandria$Month)
## Fin de l'import des données ########
#######################################
## Création des variables de volume ###
##
##
Bicilandia$Binda_Volume <- Bicilandia$Binda_Turnover / Bicilandia$Binda_Price
Bicilandia$Guerra_Volume <- Bicilandia$Guerra_Turnover/ Bicilandia$Guerra_Price
Bicilandia$Speicher_Volume <- Bicilandia$Speicher_Turnover / Bicilandia$Speicher_Price
##
Bicilandia$Cartel_Price <- (Bicilandia$Binda_Price + Bicilandia$Guerra_Price)/2
Bicilandia$Cartel_Cost <- (Bicilandia$Binda_Cost + Bicilandia$Guerra_Cost)/2
Bicilandia$Cartel_Volume <- (Bicilandia$Binda_Volume + Bicilandia$Guerra_Volume)/2
Bicilandia$asurb <- 2*Bicilandia$Cartel_Price - Bicilandia$Cartel_Cost
##
Bicilandia$Cartel_cf_Cournot_Price <- Bicilandia$asurb/3 + 2/3*Bicilandia$Cartel_Cost
Collusion <- Bicilandia
Collusion <- subset(Collusion, Month < ymd("2012-07-01"))
Collusion <- subset(Collusion, Month > ymd("2006-12-01"))
Collusion$Cartel_cf_Cournot_Price <- Collusion$asurb/3 + 2/3*Collusion$Cartel_Cost
Collusion$Cartel_cf_Cournot_Price[1:6] <- Collusion$Cartel_Price[1] + 0:5*(Collusion$Cartel_cf_Cournot_Price[6]-Collusion$Cartel_Price[1])
Collusion$Cartel_cf_Cournot_Price[60:66] <- Collusion$Cartel_cf_Cournot_Price[60] + 0:6*(Collusion$Cartel_Price[66]-Collusion$Cartel_cf_Cournot_Price[60])/6
Collusion$Cartel_cf_Cournot_Volume <- 4/3*Collusion$Cartel_Volume
Collusion$Cartel_cf_Cournot_Volume[1:7] <- Collusion$Cartel_Volume[1] + 0:6*(Collusion$Cartel_cf_Cournot_Volume[7]-Collusion$Cartel_Volume[1])
Collusion$Cartel_cf_Cournot_Volume[60:66] <- Collusion$Cartel_cf_Cournot_Volume[60] + 0:6*(Collusion$Cartel_Volume[66]-Collusion$Cartel_cf_Cournot_Volume[60])/6
##
plot(Bicilandia$Month, Bicilandia$Binda_Volume , type = "l" , col = "Blue", ylab = "Volume", mar = c(0,0,0,0), main = "Counterfactual Volumes with Two-Models Approach", ylim = c(10000,65000))
lines(Bicilandia$Month, Bicilandia$Guerra_Volume, type = "l", col = "Green")
lines(Bicilandia$Month, Bicilandia$Speicher_Volume, type = "l", col = "Brown")
##
legend("topright", legend=c("Binda", "Guerra","Speicher"),
col=c("Blue","Green","Brown"),lty = 1, cex=0.6)
lines(Collusion$Month,Collusion$Cartel_cf_Cournot_Volume, col = "brown", lty = 2)
##
plot(Bicilandia$Month, Bicilandia$Binda_Price , type = "l" , col = "Blue",ylim = c(10,20), ylab = "Price", xlab = "", oma = c(0,0,0,0), main = "Counterfactual Prices with Two-Models Approach")
lines(Bicilandia$Month, Bicilandia$Guerra_Price, type = "l", col = "Green")
lines(Bicilandia$Month, Bicilandia$Speicher_Price, type = "l", col = "Brown")
##
legend("topright", legend=c("Binda", "Guerra","Speicher"),
col=c("Blue","Green","Brown"),lty = 1, cex=0.6)
lines(Collusion$Month,Collusion$Cartel_cf_Cournot_Price, col = "brown", lty = 2)
Aujourdhui <- ymd("2017-01-01")
Damages_paidunits_Binda <- function(r) {
sum((Collusion$Binda_Price - Collusion$Cartel_cf_Cournot_Price)*Collusion$Binda_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Damages_paidunits_Binda(0.0)
Damages_paidunits_Guerra <- function(r) {
sum((Collusion$Guerra_Price - Collusion$Cartel_cf_Cournot_Price)*Collusion$Guerra_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Damages_paidunits_Guerra(0.0)
Profits_Binda <- function(r) {
sum((Collusion$Binda_Price-Collusion$Binda_Cost)*Collusion$Binda_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Profits_Binda(0.015)
Harm_Binda <- function(r) {
sum((Collusion$Cartel_cf_Cournot_Volume - Collusion$Binda_Volume)*(Collusion$Binda_Price-Collusion$Cartel_cf_Cournot_Price)*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Harm_Binda(0.0)
Harm_Guerra <- function(r) {
sum((Collusion$Cartel_cf_Cournot_Volume - Collusion$Guerra_Volume)*(Collusion$Cartel_Price-Collusion$Cartel_cf_Cournot_Price)*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Harm_Guerra(0.0)
Profits_Guerra <- function(r) {
sum((Collusion$Guerra_Price-Collusion$Guerra_Cost)*Collusion$Guerra_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Cf_Profits_Binda <- function(r) {
sum((Collusion$Cartel_cf_Cournot_Price - Collusion$Guerra_Cost)*Collusion$Cartel_cf_Cournot_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Cf_Profits_Binda(0.015)
Cf_Profits_Binda <- function(r) {
sum((Collusion$Cartel_cf_Cournot_Price - Collusion$Guerra_Cost)*Collusion$Cartel_cf_Cournot_Volume*(1+r)^(as.numeric(Aujourdhui-Collusion$Month)/365))
}
Cf_Profits_Binda(0.015)