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Thank you for the suggestion, in the command line it works.
However, the @expand function still does not work, I get the error "RSV is not defined". Bug in the program or currently not supported?

Hi,

Using the @expand function for including dummy variables does not work with this add-on.
The available space for specifying an equation is also too limited for me. Is there a way to solve these issues?

Thanks

Well, if an Eviews expert is saying something is not easy, I'm not even going to bother trying Thanks for your swift replies.

Thanks for your suggestion. SUR would be helpful, but I need standard errors that are robust to heteroskedasticity and autocorrelation, and ideally adjusted for clustering at firm level. From what I've read on this forum, Eviews 7 does not currently support this..is there a way to calculate a Wald t...

Hi, I would like to test whether the parameters a2 and b2 are equal in the following separate linear OLS regressions: Y1=a1+a2X1+a3X2+a4X3+... Y1=b1+b2X4+b3X2+b4X3+... The models have the same dependent and control variables; only the partitioning variables X1 and X4 differ and I have to test whethe...

Thank you, that does work :)

One quick question please: In this section of the code above: for !sic2=1 to 99 is it possible to refer to a series containing the SIC codes instead of "1 to 99"? Since I read in the manual that "for" has to be combined with "to"? I need this because the SIC codes do no...

I can confirm that winsorizing now works flawlessly :D
Thanks for the fast response Gareth!

Sure, I've attached a trimmed version of it. I've tested it on the variables "at" and "revt" for a winsorization at 5% and 95% quintiles. As you can see the minimum is the same for the unwinsorized and winsorized series, but the maximum differs. PS: I see you edited your post :P ...

Ok too bad, but than I'll look at the number of observations after the regression, like you suggested.
Thank you for the help Gareth.

Hi, I've downloaded the trimming and winsorization add-in for Eviews 7. However, when I do winsorization on a variable, it only performs winsorization for the upper tail of the distribution. So the maximum is affected after winsorization, but the minimum is not. I've used different quantiles but the...

To date, I haven't found a solution yet :(

Does anyone know how to let the program check whether there are at least # number of observations, before performing industry-year regressions?

Thank you.

Thank you, that did the trick! I have one final question: I would like the program to only perform the industry-year regression if there are at least 15 observations to avoid a poor fit. I've tried to use an if statement in combination with the @regobs command, but that did not work (guess because @...

Gareth, I think I (we) almost got it. After a lot of trial and error I tried this for a small sample of SIC industries 60-63. I've also extended the matrix for storing other statistics: matrix(1200,16) coefs !counter = 1 for !year=1991 to 2010 for !sic2=60 to 63 'list all sic codes here. smpl !year ...

I changed both %sic to !sic but got an error "syntax error in "FOR 0 1 TO 99" If I place an equality sign as in for !sic2=1 to 99 'list all sic codes here. the syntax error disappears but then I'm back at the previous error: Error in Sample: Range Error in "SMPL @FIRST+1991-1 @FI...