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Ah, you want separate lags for different regressors. Yeah, no :(

Use fixed lags.

It would choose the best ARIMA orders for the given seasonal difference of one.

If you open the qe_sc2 series, over which dates does it have data?

qe_sc2 needs values for the pre-sample periods (due to lags in the model).

Recommend starting with the online tutorials:
https://eviews.com/Learning/index.html

Lesson 12 most appropriate.

Ah, now I see the issue.

Perhaps:


in a loop to loop through the variables you want.

So just create a new empty model, and add the equations you want in it? What am I missing?

Still not 100% sure I follow, but perhaps create the group with all the amuse*_area series, then loop through the series in that group, extract the numbers, and then create groups for the buckets. Roughly: group mygroup amuse*_area group mygroup12 group mygroup35 for !i mygroup.@count %j = mygroup.@...

Not sure I understand the logic behind what gets included. Do you just have a list of equations you want included?

I'm not sure I follow exactly, but I think the way to go is to create groups using the group wildcard constructor, and then use the @rsum function to generate the sums. So, for example, if you want to create a sum of all the series who match the pattern "amuseXX_area", you'd have: group my...

I think you're out of luck.

Create a new coefficient vector (not a vector, but a coef) called G, then use g instead of c

Use instead of

The EViews implementation of X-13 allows you to assign a workfile series as a user-variable in the X-13 pre-adjustment regression. You can create at calendar variable similar to those built in to X-13, but supporting you specific calendar. Recommend reading the X-13 documentation to see how they def...