Root Mean Square Error in Forecasting

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Bablowski
Posts: 18
Joined: Tue Aug 25, 2015 1:08 am

Root Mean Square Error in Forecasting

Postby Bablowski » Wed Jul 13, 2016 3:16 am

Hello, maybe stupid question, but I want to be clear in this:

I made VAR model in EViews, where there are some statistically insignificant variables. I ran forecast and I wanted to compute Root Mean Square Error. I tought that RMSE is computed according to model with only statistically significant variables but EViews gives me results that seem to be computed from model with all variables (regardless there are also insignificant variables). Such RMSE can´t be true then.
Can you help me? Thank you.

trubador
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Posts: 1518
Joined: Thu Nov 20, 2008 12:04 pm

Re: Root Mean Square Error in Forecasting

Postby trubador » Wed Jul 13, 2016 11:40 am

That's the way how RMSE (or any other evaluation metric) is computed. There is nothing inherently wrong here. Whether or not to keep insignificant variables in the model is up to you (based on the research question, hypotheses and other statistical criteria of course).


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