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How do you know which county an observation is from? (You may want to give an example of your data or post your workfile.)

Hi ,
you can write genr X= 1*(year>=1990) + 0*(year<1990). i test this command and it works.

best,
Sabine

Hello, I need help.

I am new in both eviews and econometrics. Help will very much appreciated.
1. I am doing a panel data study for my thesis, and one of my 5 variables is a dummy of a Mod, which consist of three : A,B, C. one of the three will be represented by intercept (C), however. so that leave another two.
the dummy is for Mod(A,B)
I have tried several ways suggested by the forum, but i keep getting error message.
if i use Genr - generate series by equation - enter @expand(Mod); - it show : @EXPAND is not a genr or series expresion function , if I put equation
e.g. roe c gdp cpi @expand(Mod) or roe gdp cpi @expand(Mod); - it says: syntax error
I have tried to write : roe c gdp cpi Group 01 @expand(Mod)
its not working.

2. I need it for a regression in which i am using a pool. can the dummy equation and pool use together? or maybe an alternative so the regression could work as one.
3. is it possible to have the dummy input together in imported excel and have it worked?

I can´t find these on internet.
can someone please help me out??

I am very new to this,as I have acquainted with eviews only for a month. It would be great help if the explanation can go step by step.

Thank you in advance for save me here!

Just a quick econometrics query: when creating date dummies, say monthly, wouldn't you need 11 dummies as opposed to 12 to avoid what's commonly called the 'dummy variable trap'? This seems to be the case since using the @expand(@monthly) command yielded to a pop-up saying that a near-singular matrix is occuring when I test for a VAR.

Indeed, hence:

Note that by default the @expand keyword will create a full set of dummies, thus you should not include a constant in your equation (since you'll create a singular matrix problem).

Alternatively, @expand lets you drop certain values from the expansion to avoid the singularity problem. You can use @dropfirst or @droplast to drop the first or the last categorisation. Thus:

Code: Select all

Y C X @expand(sex, @dropfirst)

Would regress Y on a constant, X and SEX=M, and not SEX=F.

Thanks for your response. I'm estimating a univariate VAR as a first step to testing for linearity, in turn to see whether a smooth transition AR model is appropriate. The @droplast command worked, but if I also wanted to drop June (month 6), how would I input a code for that?

The Command Reference has full details on how to use @expand.

Hi all,

I am fairly new at Eviews 7. I want to create dummy variables to consider seasonal effect on a daily data (7 days). Please help me.

Dear Eviews users,

I'm also having problems creating a dummy in my panel data. In my Tweets and Quotesdf are the tweets of 98 stocks and the first differenced stock quotes. Now I want to establish a dummy for the Google tweets & stocks since I'm hoping that my data will then be normally distributed. Can someone help me? I already tried making a dummy but I didn't work.

Thanks in advance for your time, very much appreciated!

Not quite sure what you're trying to do?

Just create a dummy whenever the stock name is "GOOG"?

I would like to create dummy variable for 400 obs daily (7 day week) from 1990/01/01 to 04/02/1991.
1-a dummy variable eqaul to 1 for 01/01/1990 to 31/01/1990 and equal 1 for 01/03/1990 to 31/03/1990...etc, and for monthly and quarterly ...etc date.
2-a dummy variable for No-dated, dummy equal to 1 for 1 and 2 obs and 5 and 6 obs...etc.

best regrads.

I have no idea, would you like to help me
best regards

What have you done so far?

for the moment I have no idea.