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Hi,

I'd like to sue the growth rates of one data series that has ended and use those growth rates to extend another data series that replaced it bacx in time. Anyone know a quick and easy way to program that?

Wonderful, thank you very much

Ok, and that code gives the RMSE of the mean as a forecaster, and

scalar rmse = @rmse(yf, y)
is to find the RMSE of the forecast?

So I want to compare my forecasts RMSE compared to the RMSE that I would get if I just used the mean as my forecast.

Thank you once again!

Oh, ok. So is it the RMSE of using the mean to forecast though? If so why do we need the forecast variable in there?

Amazing. Thank you both!

Me again. Sorry for asking another question today. I was just hoping someone could tell me how to code an equation within the range and then a forecast for the remainder of the range.

Great idea startz, thanks.

EViews Gareth, I tried your code and it says yf is not defined

Can someone tell me how I can compare a forecasts RMSE to the unconditional mean?

Is there a command that will replace code in an Eviews program? I plan on creating a few programs that will do a lot of the same things to the variables. So rather than copying and pasting the new variable name into each line of relevant code it would be nice to work from a template and add a line t...

Oh my goodness. This worked! Thanks a million!

I see. thanks for the explanation. The only issue is that now when I want a growth rate it will be calculating it without using the full previous quarter in the denominator.

I can't follow what this is doing.

I think the best way to do it would be to create a quarterly growth rate series from the monthly series. Can that be done? Just calculate (M4+M5+M5)/(M1=M2+M3) -1?

I don't think it can be done by creating one new series because I want to have quarterly growth rates with missing monthly variables, but the missing month has to change. The snapshot for Q2 would require replacing the third month of Q2 with the second month of Q2. This is true for every subsequent ...