BookmarkSubscribeRSS Feed
itslarajean
Fluorite | Level 6
Hi all,
I have a VAR regression produced out based on my Development data period. I now wish for this VAR model to predict the future values but with some variables to have a fixed value (that variable will not be forecasted by my VAR model).

For example:
My VAR model is below
A = a1A_t-1 + b1B_t-1 + c1C_t-1
B = a2A_t-1 + b2B_t-1 + c2C_t-1
C = a3A_t-1 + b3B_t-1 + c3C_t-1

I want the VAR model to predict A and B but for C I have a set of values I wish to input. How do I do this?

Thank you.
1 REPLY 1
sbxkoenk
SAS Super FREQ

I have moved this topic to the 'SAS Forecasting and Econometrics' board.

 

Hello @itslarajean ,

 

Are you using PROC VARMAX?

 

I think you can use "the missing value trick for scoring a vector ARIMA(X) model".
As described in the below blog for regression ...

The missing value trick for scoring a regression model
By Rick Wicklin on The DO Loop February 17, 2014
https://blogs.sas.com/content/iml/2014/02/17/the-missing-value-trick-for-scoring-a-regression-model....

 

Include training (development as you call it) and future periods in your dataset (the one that you put in the DATA= option on the PROC VARMAX statement).

For future periods, A and B are missing , but C has values.

 

I hope it works for you,

Koen

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

Multiple Linear Regression in SAS

Learn how to run multiple linear regression models with and without interactions, presented by SAS user Alex Chaplin.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 491 views
  • 0 likes
  • 2 in conversation