Define a quarterly projection model

Declares a linear semi-structural model with model-consistent expectations. Equations are parsed immediately, so unknown symbols and malformed lag/lead references are caught at construction time. Coefficients are extracted from the current calibration when the model is solved with qpm_solve().

Usage

qpm_model(
  name = "QPM model",
  variables,
  shocks,
  equations,
  params = list(),
  sigma = NULL,
  meta = list()
)

Arguments

name

Model name used in printed output.

variables

Variable declarations from vars().

shocks

Shock declarations from shocks().

equations

Equations from eqs(); one per variable.

params

Named list/vector of parameter values.

sigma

Named vector of shock standard deviations. Defaults to 1 for every shock.

meta

Optional list of metadata (e.g. plausible parameter ranges used by qpm_lint()).

Value

An object of class qpm_model.

Examples

m <- qpm_model(
  name      = "AR(1) toy",
  variables = vars(x = "A persistent process"),
  shocks    = shocks(eps_x),
  equations = eqs(x ~ rho * x[-1] + eps_x),
  params    = list(rho = 0.8)
)
m
#> <qpm_model> AR(1) toy
#>   1 endogenous variables - 1 shocks - 1 parameters
#>   dynamics: max lag 1, max lead 0
#>   calibration:
#>     rho = 0.8
#>   variables: x