2008 2008
> > #5 B 2008 2008
> >
> > identical(dat2[,3],pmin(dat2[,2],2009))
> > #[1] TRUE
> >
> > identical(dat2[,4],pmin(dat2[,2],2009))
> [1] TRUE
>
> > A.K.
> >
> >
> >
> > - Original Message -
> > From: kebrab67 &
I have a set of data with 205 988 observation sand 10 variables , three of
which are Legal_status, Date_of_incorporation and Last_year. I set my time
horizon from 1989 to 2009. Now I want to know when a company is dead. If
Last_year is bigger or equal to 2009 then I say that a new "variable" last
Hello,
I have a set of 100 variables with 1560 observations. I did an O.L.S
regression of three of these variables on a fourth. But there are problems
of endogeneity... So I look in my dataset for instruments to do an IV. I
can't find a good instrument because their correlation with my endogeneous
id age76 Wage76 Grade76 Black immigrt. ...
1 25 102456 12 1 0
2 27 15432 15 0 1
3 30 12340 16 1 1
Then I have lots of data variables 100 for 5000 indi
Hello, I have a set of data including age, wage and education level each
called age76, wage76 and grade76 I want to know how i can calculate the
average wage of people age 15 to 65 (each year separetly) , only for those
who have an education level of 10 12 and 16...
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I see what you mean as I go trgouh my courses (chapters related to type i and
II errors) Is there any way in the therory for me to choose which variables
in a set of variables explain more my Y. Or should I base my reflexion
solely on economic theory and discriminate between variables?
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The eleventh variable is log(wage) and the 10 other variables are actually
all at least theorically significant to the regression. like wether the
person is black, immmigrant, it´s experience, age, if he works in a city...
But i need only take a few variables out of this ten. Actually taking only
I have a 11*1562 set of data. I want to regress using ols all combination of
the ten variables on the eleventh. Store the results of the t test of each
regression and the r2 to compare which combination is better. the
combination can use any amount o variables. How can I do that in R?
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