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You want the comparison to the mean of the other variables for each observation?

Can you be a bit more specific about what you are doing? What values in AA need to be copied? Is it the value for one date, or values for a range of dates? Are we matching up observations by-date?

Forecast of data at t+4 given information at t.

You can request the forecast standard errors and construct intervals from those.

If you are okay with a separate regression line for both the non-2008/2009 values and for the the 2008/2009 values, the easiest way to do this is to create new series that have missing data for subsections of the data. That is, create a series with just the 2008 and 2009 values, and a separate serie...

Take a look at the by-stats functions:

http://www.eviews.com/help/helpintro.ht ... stics.html

We've identified the issue. In the MacKinnon algorithm for the response surface, we have found that there are potential issues with the polynomial approximation to the response surface for extreme values. In this case, the statistic value is so out of bounds that the existing algorithm approximation...

I can't see an easy way to do that since we need linearity in the states.

You can just set the values of the C vector outside of the object.

Sorry, the option was not documented. If you go into the dialog and run it with the additive outlier and look at the command capture, you'll see that the option is "type=ao", as in


Sorry for the inconvenience.

The 99% was a generic comment, not specific to your data (which I haven't seen). What I'd recommend is that you make a model from your equation and solve for the fitted probabilities and examine them. I do note that your 0 category is the least frequent, and though you most certainly have fitted pro...

Thanks. We will take a look.

The model is what it is. If you have a better model, then you can use it instead. Adding explanatory variables may help, but that may lead to overfitting. And in a case where 99% of observations have the same response, there is not much that one case do. You may want to generate the individual respo...

In this type of model it is certainly possible that the highest predicted probability never matches the actual realization. This problem becomes more acute the greater number of possible outcomes in the speicfication. In this case, the highest fitted probability is always for the dep=1 category, und...