Dynamic multipliers for long-run regressors in ARDL equations.
Displays a spool object with the cumulative dynamic multiplier curve for each of the long-run regressors. The argument is a positive integer denoting the horizon length, and defaults to 15.
Syntax
eq_name.dynmult(options) [horizon]
horizon is a positive integer denoting the horizon length, and defaults to 15.
Options
noci | Do not generate confidence intervals for asymmetric regressors. Note that confidence intervals can only be generated for asymmetric regressors. |
noshade | Display confidence interval using lines instead of shaded bands. |
level=number (default = 0.95) | Number between 0 and 1 representing the confidence interval level. |
reps=integer (default = 999) | Number of Monte Carlo repetitions used in the generation of confidence intervals (if applicable). |
f=number | Fraction of failed repetitions before stopping. Only applicable if a se_pattern is provided. |
prompt | Force the dialog to appear from within a program. |
p | Print output. |
Example
ardl_eq.dynmult
generates cumulative dynamic multiplier curves for each long-run regressor. The horizon length is 15, and the 95% confidence intervals (if they exist), are shaded, and derived from 999 Monte Carlo replications.
ardl_eq.dynmult(noshade) 30
generates cumulative dynamic multiplier curves for each long-run regressor. The horizon length is 30, and the 95% confidence intervals (if they exist), are not shaded.
ardl_eq.dynmult(noci)
produces cumulative dynamic multiplier curves for each long-run regressor. The horizon length is 15, and no confidence intervals are displayed.
ardl_eq.dynmult(level=0.99, reps=499) 10
shows cumulative dynamic multiplier curves for each long-run regressor. The horizon length is 10, and the 99% confidence intervals (if they exist), are shaded, and derived from 499 Monte Carlo replications.
Cross-references
See
“Linear and Nonlinear ARDL” for a discussion of ARDL equation models.