Object Reference : Object View and Procedure Reference : Model
  
 
stochastic
Stochastic solution options for models.
stochastic sets options for stochastic model solution but does not solve the model.
Syntax
model_name.stochastic(options)
Options
Note that these options have no effect on the current solve if deterministic solution has been selected.
 
i=arg (default=“n”)
Innovation generation: “n” (normal random number) or “b” (bootstrap).
d=arg (default=“f”)
Diagonal covariance matrix (for bootstrap: draw resids independently for each equation): “t” (true), “f” (false).
v=arg (default=“t”)
Scale covariance matrix to equation specified innovation variances: “t” (true), “f” (false). Does not apply to Bootstrap.
m=pos_number (default=1.0)
Multiply resid covariance or bootstrap by the positive number pos_number.
s=quoted_sample
Covariance estimation sample (Bootstrap residual draw sample). For example, s =“1970.1 2003.4”
r=integer (default=1000)
Number of stochastic repetitions.
k
Calculate confidence interval from entire sample.
f=number (default=.02)
Fraction of failed repetitions before stopping.
b=number (default=.95)
Size of stochastic confidence intervals.
c=arg (default=“f”)
Include coefficient uncertainty: “t” (true), “f” (false).
p=page_name
Page name for a new workfile page to save the results of all repetitions of the stochastic solve. If blank (default) only summaries (mean, sd, etc.) of the repetitions are maintained.
Cross-references
See “Models” for a discussion of models. See Model::innov to set options on individual series in stochastic solution.
See also Model::model, Model::solve and Model::solveopt.