1. Understanding a rise_model object

Every modern factory – dsge_model(...), rfvar_model(...), svar_model(...), proxy_svar_model(...), prfvar_model(...), dsge_var_model(...) – returns an object of the same class: rise_model. The fields below are the canonical ones; the engines (solve, filter, estimate, forecast, irf, decompositions) read these and only these, regardless of which factory produced the object.

1.1. Ordering and information about atoms

1.1.1. Endogenous variables

For DSGE-shaped models, endogenous variables are ordered by group, and within each group alphabetically:

static variables – variables dated in period t only.
purely predetermined variables – variables dated in periods t and t-1.
predetermined and forward-looking variables – variables dated in periods t, t-1 and t+1.
purely forward-looking variables – variables dated in periods t and t+1.

For VAR-shaped models (reduced-form, structural, proxy SVAR, panel, DSGE-VAR) the endogenous variables are in the order they were passed to the factory. Panel models additionally append a per-unit suffix during expansion (GROWTH_US, GROWTH_CA, …).

1.1.2. Exogenous variables

Alphabetical order.

1.1.3. Parameters

Alphabetical order.

1.1.4. Observables

Alphabetical order.

1.2. Information on model equations

get(m, 'equations') returns the equations as they were written, together with their labels (the quoted strings that appear before each equation in the model file). The equations are the parser-canonical form; the original raw text of the model file is not preserved.

VAR-family models do not have model-file equations in the same sense; get(m, 'equations') returns the canonical structural / reduced-form representation the parser built from the factory arguments.

1.3. Information on model results

1.3.1. First-order structural form

The matrices of the parsed first-order structural form are reachable via extract_first_order_structure. They include the contemporaneous, lead and lag Jacobians used to feed the perturbation solver (DSGE-shaped models) or the structural-form matrices A0, A1, …, Ap (SVAR-shaped models).

1.3.2. Solution results

After solve succeeds, the solution lives in m.state_space{1} (one entry per parameterization) and includes the regime-specific transition matrices, the shock-impact matrices, and the steady state. Use print_solution(m) for a human-readable view:

print_solution(m)
print_solution(m, {'pi','y'})        % restrict to a subset

The shape of state_space is the same across factories – the unified state-space representation described in Modern architecture.

1.3.3. Posterior maximisation results

After estimate succeeds:

m_est.estimation.posterior_maximization.mode
m_est.estimation.posterior_maximization.mode_stdev
m_est.estimation.posterior_maximization.hessian
m_est.estimation.posterior_maximization.vcov
m_est.estimation.posterior_maximization.log_post
m_est.estimation.posterior_maximization.log_lik
m_est.estimation.posterior_maximization.log_prior
m_est.estimation.posterior_maximization.log_marginal_data_density_laplace

The field names and shapes are the same across factories.

See Estimation for the full surface.