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I have an estimation: Probit with continuous and categorical dummy variables. If I add the dummy variables to the estimation I have to leave the constant out, otherwise the output gives me NA everywhere. (Right?) My problem is that I get no McFadden R-squared if I leave the constant out of the estim...

Thanks for all the help! The probit model is now completed. Next step is that I have to run a multinomial logit regression. The dependent variable can be either one of three choices where 1 is the reference point. The dependent variable is followed by a set of independent variables (regressors?). Ho...

I tried the following:
@expand(industry, @dropfirst) but then I get the same error message as in the beginning.

Shouldn't I then just rewrite the equation so that every dummy is seperate?

So @recode(MS,1,0) @recode(CS,1,0) @recode(3510,1,0) @recode(3520,1,0) etc?

See what happens if you only use one @expand statement at at time.

It works when I only use one @expand statement at at time.
Does this effect the outcome of the regression if I have to perform them seperately instead of at once?

Dummy variable trap.

If I leave the constant out of the equation I get the following error message:

Non-positive likelihood value for observation 1

Do you get a warning message on the equation output? There is indeed a warning message: Singular covariance - coefficients are not unique Covariance matrix computed using second derivatives My equations input is as follows: valuation_model c volatility size growth leverage mkt_bk r_d @expand(indust...

Do you already have your data in EViews? Which parts of the manual have you looked at? Yes my data is in Eviews and I found in the manual that I have to select the binary estimation method from the equation objects. When I enter my equation specification the displayed information shows NA for St.Er...

Can someone please tell me how to run a probit and logit regression with Eviews? I have absolutely no clue how the program works, and need these regressions to finish my thesis. Both Regressions need to be run on 363(Date of Data) *10 (variables) data items. For the Probit Regression I have: - 6 ind...