random_path {gEcon} | R Documentation |
The function generates random shock paths based on the shock covariance matrix specified by the user and simulates the behaviour of the system.
random_path(model, variables = NULL, sim_length = 40)
model |
an object of |
variables |
the names or indices of variables whose paths are to be simulated. By default all variables are selected. |
sim_length |
the length of simulation path, the default value is 40. |
Cf. gEcon users' guide, chapter ‘Model analysis’.
An object of gecon_simulation
class storing simulated paths of the model's variables.
The simulate_model
function allows the user to specify her own shock paths and simulate
their impact on the model's variables. This function also returns an object of gecon_simulation
class.
Generic functions such as print
and summary
provide information about simulations' results.
The plot_simulation
function allows to visualize the impact of simulated shock paths on the model's variables.
# 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) # perform simulation and plot the results rbc <- set_shock_cov_mat(rbc, cov_matrix = matrix(0.01, 1, 1), shock_order = "epsilon_Z") rbc_rndpath <- random_path(rbc, variables = c("K_s", "C", "Z", "I", "Y"), sim_length = 100) plot_simulation(rbc_rndpath)