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Clarify manual on conditional_forecasts with trends

time-shift
Johannes Pfeifer 2016-04-01 11:23:58 +02:00
parent 5b1a97f777
commit 80d3db5447
1 changed files with 8 additions and 4 deletions
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doc/dynare.texi
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@ -2458,7 +2458,7 @@ in @ref{stoch_simul}, if the @code{periods} option is specified. Note that this
in @ref{forecast} as the initial point at which the forecasts are computed
@item
in @ref{conditional_forecast} as the initial point at which the conditional forecasts are computed
in @ref{conditional_forecast} for a calibrated model as the initial point at which the conditional forecasts are computed
@item
in @ref{Ramsey} policy, where it also specifies the values of the endogenous states at
@ -4480,7 +4480,9 @@ varobs
@descriptionhead
This block specifies @emph{linear} trends for observed variables as
functions of model parameters.
functions of model parameters. In case the @code{loglinear}-option is used,
this corresponds to a linear trend in the logged observables, i.e. an exponential
trend in the level of the observables.
Each line inside of the block should be of the form:
@ -4489,7 +4491,7 @@ Each line inside of the block should be of the form:
@end example
In most cases, variables shouldn't be centered when
@code{observation_trends} is used.
@code{observation_trends} is used.
@examplehead
@ -6661,7 +6663,7 @@ Use @code{plot_conditional_forecast} to graph the results.
@item parameter_set = @code{calibration} | @code{prior_mode} | @code{prior_mean} | @code{posterior_mode} | @code{posterior_mean} | @code{posterior_median}
Specify the parameter set to use for the forecasting. No default
value, mandatory option.
value, mandatory option. Note that in case of estimated models, @code{conditional_forecast} does not support the @code{prefilter}-option.
@item controlled_varexo = (@var{VARIABLE_NAME}@dots{})
Specify the exogenous variables to use as control variables. No
@ -6770,6 +6772,8 @@ variables between the first and last specified period. If an intermediate period
is not specified, a value of 0 is assumed. That is, if you specify only
values for periods 1 and 3, the values for period 2 will be 0. Currently, it is not
possible to have uncontrolled intermediate periods.
In case of the presence of @code{observation_trends}, the specified controlled path for
these variables needs to include the trend component.
@end deffn