compute_irf {gEcon} | R Documentation |
The compute_irf
function computes the impulse response functions for selected variables
and shocks and returns an object of gecon_simulation
class.
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.
# 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)