conditional_forecast.dsge_dsgevar: Conditional Forecast for a DSGE-VAR Posterior

In dsge: Dynamic Stochastic General Equilibrium Models

Conditional Forecast for a DSGE-VAR Posterior

Description

Produces forecasts from a DSGE-VAR posterior conditional on a user-specified path for a subset of variables. For each posterior draw of the VAR coefficients, the function applies an algorithm analogous to Waggoner-Zha (1999) at the VAR level: at each period the conditioning constraints pin down a minimum-norm sequence of VAR innovations.

Usage

## S3 method for class 'dsge_dsgevar'
conditional_forecast(object, horizon = 12L, condition, ...)

## S3 method for class 'dsge_dsgevar_mh'
conditional_forecast(object, horizon = 12L, condition, ...)

Arguments

object	A dsge_dsgevar or dsge_dsgevar_mh object.
horizon	Integer. Forecast horizon.
condition	A named list of numeric vectors (use NA for unconditioned periods). Names must match VAR variable names.
...	Additional arguments (currently unused).

Value

An object inheriting from dsge_forecast with posterior summary statistics of the conditional forecast.

dsge documentation built on Sept. 25, 2026, 5:08 p.m.