Description Usage Arguments Details Value See Also Examples
View source: R/class_model_stat_sim.R
The compute_irf
function computes the impulse response functions for selected variables
and shocks and returns an object of gecon_simulation
class.
1 2 | compute_irf(model, variables = NULL, shocks = NULL,
sim_length = 40, cholesky = TRUE)
|
model |
an object of |
variables |
the names or indices of variables whose responses are to be simulated. |
shocks |
the names or indices of shocks for which IRFs are to be computed. If missing, IRFs are computed for all shocks with non-zero variance. |
sim_length |
the length of simulation path, the default value is 40. |
cholesky |
a logical value. If set to FALSE, IRFs are computed with initial values of all shocks equal to 1, otherwise the Cholesky decomposition of shock covariance matrix is used (the default). |
Cf. gEcon users' guide, chapter ‘Model analysis’.
The function returns an object of gecon_simulation
class.
For details, see gecon_simulation-class
.
Generic functions such as print
and summary
provide information
about the impulse response functions.
The plot_simulation
function allows to plot the IRFs.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # copy the example to the current working directory
file.copy(from = file.path(system.file("examples", package = "gEcon"),
"rbc.gcn"), to = getwd())
# make and load the model
rbc <- make_model("rbc.gcn")
# solve the model
rbc <- steady_state(rbc)
rbc <- solve_pert(rbc)
# compute and print the IRFs
rbc <- set_shock_cov_mat(rbc, cov_matrix = matrix(0.01, 1, 1),
shock_order = "epsilon_Z")
rbc_irf <- compute_irf(rbc, variables = c("K_s", "C", "Z", "I", "Y"))
summary(rbc_irf)
plot_simulation(rbc_irf)
|
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