I have written the program below and keep getting the error message that my variables are not defined.
Can somebody plese see where the error is and how I should adapt the code? Really nothing seems to work.
program define myreg, rclass
drop all
set obs 200
gen x= 2*uniform()
gen z = rnormal(0,1)
gen e = (invnorm(uniform()))^2
e=e-r(mean)
replace e=e-r(mean)
more
gen y = 1 + 1*x +1*z + 1*e
reg y x z
e=e-r(mean)
replace e=e-r(mean)
more
gen y = 1 + 1*x +1*z + 1*e
reg y x z
more
return scalar b0 =_[_cons]
return scalar b1=_[x]
return scalar b2 =_[z]
more
end
simulate b_0 = r(b0) b_1 = r(b1) b_2 = r(b2), rep(1000): myreg
*A possible solution with eclass
capture program drop myreg
program define myreg, eclass
* create an empty data by dropping all variables
drop _all
set obs 200
gen x= 2*uniform()
gen z = rnormal(0,1)
gen e = (invnorm(uniform()))^2
qui sum e /*to get r(mean) you need to run sum first*/
replace e=e-r(mean)
gen y = 1 + 1*x +1*z + 1*e
reg y x z
end
*gather the coefficients (_b) and standard errors (_se) from the *regression each time
simulate _b _se, reps(1000) seed (123): myreg
* show the final result
mat list r(table)
* A possible solution with rclass
* To understand the difference between rclass and eclass, see the Stata manual(http://www.stata.com/manuals13/rstoredresults.pdf)
capture program drop myreg
program define myreg, rclass
drop _all
set obs 200
gen x= 2*uniform()
gen z = rnormal(0,1)
gen e = (invnorm(uniform()))^2
qui sum e
replace e=e-r(mean)
gen y = 1 + 1*x +1*z + 1*e
reg y x z
mat output=e(b)
return scalar b0=output[1,3]
return scalar b1=output[1,1]
return scalar b2=output[1,2]
end
simulate b_0=r(b0) b_1=r(b1) b_2=r(b2), rep(1000) seed (123): myreg
return list
*P.S. You should read all the comments as suggested by @Nick to fully understand what I did here. .
