EViews 14: stochastic simulations with linked vs unlinked equations
Posted: Fri Jul 03, 2026 3:54 am
Hi,
I had questions regarding stochastic simulations with bootstrapped innovations in EViews 14.
Firstly, on the model set-up:
I am thinking of experimenting with two versions of loading equations into the model.
1. If I use linked equation objects in the model, they are automatically loaded in as stochastic objects with specific standard deviation
2. If I use the equation representation which provides substituted coefficients and load in into the model as text, it loads in the equation as stochastic by default but standard deviation is initially set to NA. I can then use model.innov to specify standard deviations for each equation.
If I ensure standard deviations are set to same value across both the above versions of the model, will I get the same results while performing stochastic simulations?
Secondly, on the stochastic simulation options:
I wanted to see if it is possible to select the equations from which innovations are drawn. For instance, I would like to see simulation results for the entire system by incorporating uncertainty only in one equation. Can I use model.innov in this respect (perhaps by setting a stochastic eqn to be an identity instead)?
Finally, with regards to simulation output:
1. I get a message saying 'x residuals per equation calculated for bootstrap'. Is there a way to see/graph these residuals? On what basis is the number of residuals calculated?
2. Once simulation is complete, is it possible to extract values for a specific endogenous variable for all its 1000 simulations?
Thanks in advance for the help.
I had questions regarding stochastic simulations with bootstrapped innovations in EViews 14.
Firstly, on the model set-up:
I am thinking of experimenting with two versions of loading equations into the model.
1. If I use linked equation objects in the model, they are automatically loaded in as stochastic objects with specific standard deviation
2. If I use the equation representation which provides substituted coefficients and load in into the model as text, it loads in the equation as stochastic by default but standard deviation is initially set to NA. I can then use model.innov to specify standard deviations for each equation.
If I ensure standard deviations are set to same value across both the above versions of the model, will I get the same results while performing stochastic simulations?
Secondly, on the stochastic simulation options:
I wanted to see if it is possible to select the equations from which innovations are drawn. For instance, I would like to see simulation results for the entire system by incorporating uncertainty only in one equation. Can I use model.innov in this respect (perhaps by setting a stochastic eqn to be an identity instead)?
Finally, with regards to simulation output:
1. I get a message saying 'x residuals per equation calculated for bootstrap'. Is there a way to see/graph these residuals? On what basis is the number of residuals calculated?
2. Once simulation is complete, is it possible to extract values for a specific endogenous variable for all its 1000 simulations?
Thanks in advance for the help.