PerturbationDSGE.state_space#
- PerturbationDSGE.state_space(theta)[source]#
The solution at
thetaon the substrate its order calls for.- Parameters:
theta (
ArrayLike) – Structural parameters in the model’s own space.- Return type:
_LinearGaussianStateSpace|_NonlinearStateSpace- Returns:
A linear-Gaussian system at first order; the pruned nonlinear system at second.
Example
>>> import numpy as np >>> class Latent: ... parameter_names, bounds = ("rho", "sigma"), ((0.0, 0.99), (0.01, 1.0)) ... n_states, n_controls = 1, 1 ... def equations(self, th, y_next, y, x_next, x): ... return np.array([y[0] - x[0], x_next[0] - th[0] * x[0]]) ... def steady_state(self, th): ... return np.zeros(1), np.zeros(1) ... def shock_loading(self, th): ... return np.array([[th[1]]]) ... def observation(self, th): ... return np.array([[0.0, 1.0]]), np.zeros(1), np.array([[1e-4]]) ... def log_prior(self, th): ... return 0.0 >>> first = PerturbationDSGE(Latent(), np.zeros(50), order=1).state_space([0.8, 0.5]) >>> second = PerturbationDSGE(Latent(), np.zeros(50), order=2).state_space([0.8, 0.5]) >>> type(first).__name__, type(second).__name__ ('_LinearGaussianStateSpace', '_NonlinearStateSpace')