<>
Here is a way to make this work for a 70% random sample...
*************
//drop it beforehand
capt prog drop sim
drop _all
set obs 10000
gen x1= rnormal()
gen x2= rnormal()
//DGP
gen y= 1+2*x1+4*x2+rnormal()
//define the program
program define sim
version 10.1
preserve
//70% sample
gen byte sample=runiform()<0.7
reg y x* if sample
restore
end
//simulate it!
simulate _b _se, /*
*/ reps(100): sim
renpfix _b_ pointest_
renpfix _se_ standerror_
list, noobs h(40)
*************
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Diederik van
Liere
Gesendet: Donnerstag, 24. September 2009 16:23
An: [email protected]
Betreff: st: Cannot initialize matrix to store summed coefficient estimates
Dear Statalist members,
I am trying to write a simple macro that takes a random sub sample of my
dataset, run my regression and aggregates the e(B) matrices in a new matrix
so I can calculate the average coefficient estimate and the average standard
error. However, I am a bit stuck with initializing the matrix that will
contain the summed coefficients and summed standard errors. What I have been
trying to do looks like this:
local define matrix X
foreach v of varlist 'varlist' {
//create 1 x k matrix with initial values 0.0
matrix X[1, "`v'"]= 0.0
}
forvalues i =1/n {
preserve
generate x =runiform()
//some more code to create random sample
regress varlist
matrix y = e(b)
foreach b of e(b) {
matrix X[1,`b'] = matrix X[1,`b'] + _b["`b'"]
}
matrix list X
restore
}
Unfortunately, I don't know how to fix the error that is thrown on row 3
(matrix X[1, "`v'"] = 0.0
Stata exits with a type mismatch error and I have tried a whole range of
alternatives but so far nothing works....
I would appreciate any suggestions to get this macro working and I am sure
it's quite simple but I have been staring at this for too long :(
Best regards,
Diederik van Liere
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