EViews.com

Dear, the .prg is not available anymore. Could you see into it? Or possibly provide a link to similar program which creates an output table. This is such a trivial thing, yet very helpful and somehow ignored here on the Forum. Thanks and best wishes!

Thank you, it works!

Dear Eviews Friends, can you please help me with finding out why message of illegal or reserved name pops up in this case? I have tried with different variable names as 'credadj' 'loanadj' 'adjloan', but if there is Log Real in front, it always ends up in the same manner. Nota bene: for a variable n...

Thanks, I will try to figure out what is wrong with my settings

Dear Glenn, I am afraid that unchecking the Stop on missings got us nowhere. It returns NA for the whole sample for the exogenous. Moreover, you say that if one single value for exogenous is needed, I can play with endogenous, get common value for exogenous etc. However, the common value of NA is NA...

Hi Glenn, I have been studying the manual on this subject for a few days now, and the scenarios just do not turn out right. It returns NA for the whole sample for my endogenous and the message is 'Solve terminated - Unable to compute due to missing data in ...equation'. What I did is I have created ...

Hi Glenn, working with model object involves some hussle, so I have tried to recalculate my equations with dummy variables once equal to zero and once equal to one (one at a time, others held @Actual).Due to near singular matrix, I will have to work with model scenarios after all. If I name Scenario...

Hi Glenn,

since no news from you I am trying to copy my equations into the Model Object in order to get the marginal effects via scenarios, but when copying the equation, model returns an error: @IDENTITY is not a Genr or series expression function in EQ1. How to deal with this?

[quote="EViews Glenn"]

If I were you, I would save my equation into a model object.

Is it too pragmatical if I just deduce the first outcome from the second one:
FIRST
equation eq1.tobit...
eq1.fit(i) xb
xb=xb-dummy_of_interest*eq1.c(...)
scalar meanxb=@mean(xb)+@dummy_of_interest

SECOND
equation eq1.tobit...
eq1.fit(i) xb
xb=xb-dummy_of_interest*eq1.c(...)
scalar meanxb=@mean(xb)

Dear Glenn, I have used the code you've indicated, following the steps and omitting the corrections for the expersq (as I don't have non-linear terms). I assume that I can use the results I have obtained, only for the continuous regressors, in the following way: R12=0.28 means that for each addition...

[quote="EViews Glenn"]Got it... ' Next, we extract the fitted XB eq1.fit(i) xb ' Get means of XB, adjusting for square of mean(exper) rather than mean of expersq xb = xb - expersq*eq1.c(4) scalar meanxb = @mean(xb) + @mean(exper)^2*eq1.c(4) Dear Glenn, I am getting the marginal effects for...

Thank you! Since you recommend caution in using McFadden for Tobit, would it be possible to get a tip from you on which one is the most appropriate for Tobit. I would appreciate your answer although I am aware that this goes beyond the Eviews support service!

I have calculated the McFadden one, can you please confirm that the smaller ratio confirms that the model is good and viceversa (as opposed to the one in real R squared)?

Well, the only problem I am having currently is that my Chi-square test statistics are around few thousands (e.g. test statistic is 30 000 and the critical value is 32,3). Since I am wondering if this indeed could be true, I would like to check with some additional measure. Actually, I was noticing ...