View source: R/get_elasticities.R
get_elasticities | R Documentation |
Calculates elasticities for a given variable and market.
get_elasticities( blp_data, share_info, theta_lin, variable, products, market, printLevel = 1 )
blp_data |
data object created by the function |
share_info |
object with individual and aggregated choice probabilities created by the function |
theta_lin |
linear parameter of the variable for which elasticities are calculated for, |
variable |
character specifying a variable for which elasticities are calculated for, |
products |
optional: character vector of specific products, |
market |
character specifying the market in which elasticities are calculated |
printLevel |
level of output information (default = 1) |
Returns a matrix with elasticities. Value in row j and col i for a variable x, gives the effect of a change in product i's characteristic x on the share of product j.
K<-2 #number of random coefficients data <- simulate_BLP_dataset(nmkt = 25, nbrn = 20, Xlin = c("price", "x1", "x2", "x3", "x4", "x5"), Xexo = c("x1", "x2", "x3", "x4", "x5"), Xrandom = paste0("x",1:K),instruments = paste0("iv",1:10), true.parameters = list(Xlin.true.except.price = rep(0.2,5), Xlin.true.price = -0.2, Xrandom.true = rep(2,K), instrument.effects = rep(2,10), instrument.Xexo.effects = rep(1,5)), price.endogeneity = list( mean.xi = -2, mean.eita = 0, cov = cbind( c(1,0.7), c(0.7,1))), printlevel = 0, seed = 234234 ) model <- as.formula("shares ~ price + x1 + x2 + x3 + x4 + x5 | x1 + x2 + x3 + x4 + x5 | 0+ x1 + x2 | iv1 + iv2 + iv3 + iv4 + iv5 + iv6 + iv7 + iv8 +iv9 +iv10" ) blp_data <- BLP_data(model = model, market_identifier="cdid", product_id = "prod_id", productData = data, integration_method = "MLHS" , integration_accuracy = 40, integration_seed = 1) theta_guesses <- matrix(c(0.5,2), nrow=2) rownames(theta_guesses) <- c("x1","x2") colnames(theta_guesses) <- "unobs_sd" shareObj <- getShareInfo( blp_data=blp_data, par_theta2 = theta_guesses, printLevel = 1) get_elasticities(blp_data=blp_data, share_info = shareObj , theta_lin = 1, variable = "price", products = c("4","20"), market = 1)
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