gemNonrivalry_Congestiblity {GE} | R Documentation |
Some Examples Illustrating Congestible Non-rival Goods
Description
Some examples illustrating congestible non-rival goods (or services).
Usage
gemNonrivalry_Congestiblity(...)
Arguments
... |
arguments to be passed to the function sdm2. |
See Also
Examples
## The firm supplies non-rival services.
dst.firm <- node_new(
"non-rival services",
type = "Leontief", a = 1,
"labor"
)
dst.consumer1 <- node_new(
"util",
type = "SCES", es = 1, # es = 0
alpha = 1, beta = c(0.75, 0.25),
"serv1", "labor"
)
dst.consumer2 <- node_new(
"util",
type = "SCES", es = 1, # es = 0
alpha = 1, beta = c(0.5, 0.5),
"serv2", "labor"
)
dst.consumer3 <- node_new(
"util",
type = "SCES", es = 1,
alpha = 1, beta = c(0.1, 0.9),
"serv3", "labor"
)
efficient.coef <- 0.6 # 0.8, 0.7
ge <- sdm2(
A = list(
dst.firm, dst.firm, dst.firm, dst.firm,
dst.consumer1, dst.consumer2, dst.consumer3
),
B = matrix(c(
1, 1, 0, efficient.coef, 0, 0, 0,
1, 0, 1, efficient.coef, 0, 0, 0,
0, 1, 1, efficient.coef, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0
), 4, 7, TRUE),
S0Exg = {
tmp <- matrix(NA, 4, 7)
tmp[4, 5:7] <- 100
tmp
},
names.commodity = c(paste0("serv", 1:3), "labor"),
names.agent = c(paste0("firm", 1:4), paste0("consumer", 1:3)),
numeraire = "labor"
)
ge$p
round(ge$z, 5)
round(ge$D, 5)
round(ge$S, 5)
##
efficient.coef <- 0.2
ge <- sdm2(
A = list(
dst.firm, dst.firm, dst.firm,
dst.consumer1, dst.consumer2, dst.consumer3
),
B = matrix(c(
1, efficient.coef, 0, 0, 0, 0,
1, efficient.coef, 0, 0, 0, 0,
0, efficient.coef, 0.5, 0, 0, 0,
0, 0, 0, 0, 0, 0
), 4, 6, TRUE),
S0Exg = {
tmp <- matrix(NA, 4, 6)
tmp[4, 4:6] <- 100
tmp
},
names.commodity = c(paste0("serv", 1:3), "labor"),
names.agent = c(paste0("firm", 1:3), paste0("consumer", 1:3)),
numeraire = "labor"
)
ge$p
round(ge$z, 5)
round(ge$D, 5)
round(ge$S, 5)
## congested land services.
efficient.coef <- 0.6 # 0.8, 0.7
dst.firm <- node_new(
"non-rival services",
type = "Leontief", a = 1,
"land"
)
ge <- sdm2(
A = list(
dst.firm, dst.firm, dst.firm, dst.firm,
dst.consumer1, dst.consumer2, dst.consumer3
),
B = matrix(c(
1, 1, 0, efficient.coef, 0, 0, 0,
1, 0, 1, efficient.coef, 0, 0, 0,
0, 1, 1, efficient.coef, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0
), 5, 7, TRUE),
S0Exg = {
tmp <- matrix(NA, 5, 7)
tmp[4, 5:7] <- 55
tmp[5, 5:7] <- 45
tmp
},
names.commodity = c(paste0("serv", 1:3), "labor", "land"),
names.agent = c(paste0("firm", 1:4), paste0("consumer", 1:3)),
numeraire = "labor"
)
ge$p
round(ge$z, 5)
round(ge$D, 5)
round(ge$S, 5)
##
efficient.coef <- 0.2
ge <- sdm2(
A = list(
dst.firm, dst.firm, dst.firm,
dst.consumer1, dst.consumer2, dst.consumer3
),
B = matrix(c(
1, efficient.coef, 0, 0, 0, 0,
1, efficient.coef, 0, 0, 0, 0,
0, efficient.coef, 0.5, 0, 0, 0,
0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0
), 5, 6, TRUE),
S0Exg = {
tmp <- matrix(NA, 5, 6)
tmp[4, 4:6] <- 55
tmp[5, 4:6] <- 45
tmp
},
names.commodity = c(paste0("serv", 1:3), "labor", "land"),
names.agent = c(paste0("firm", 1:3), paste0("consumer", 1:3)),
numeraire = "labor"
)
ge$p
round(ge$z, 5)
round(ge$D, 5)
round(ge$S, 5)
[Package GE version 0.4.5 Index]