Hi!
I am running this code, and it's giving me an error: *b invalid name
gen v_eth= `ethnici1'*b[1,1] + edumo2*b[2,1] + edumo3*b[3,1] + edufa2*b[4,1] + edufa3*b[5,1] + female*b[6,1] + desplazado1*b[7,1] + b[8,1]
I had previously run this code,
* Regresión
regress ln_PERCAPITA ethnici1 edumo2 edumo3 edufa2 edufa3 female desplazado1 [iw=FEX_C] if FG==1
**Construccion inicadormatrix
matrix b= e(b)'
mat list b
mat rowname b = b1 b2 b3 b4 b5 b6 b7 b8
mat list b
predict mu
** Smoothed distribution
gen mu_tilde= exp(mu) if FG==1
label var mu_tilde "Smoothed distribution"
gen ln_mutilde = ln(mu_tilde)
**drop mu_tilde
** Residuales
gen e= ln_PERCAPITA-mu if FG==1
*las comillas en el r(mean) indican que estoy utilizando una variable macro
sum ethnici1 [iw=FEX_C] if FG==1
local ethnici1= `r(mean)'
**sum female [iw=FEX_C] if FG==1
**local female= `r(mean)'
sum edumo2 [iw=FEX_C] if FG==1
local edumo2= `r(mean)'
sum edumo3 [iw=FEX_C] if FG==1
local edumo3= `r(mean)'
sum edufa2 [iw=FEX_C] if FG==1
local edufa2= `r(mean)'
sum edufa3 [iw=FEX_C] if FG==1
local edufa3= `r(mean)'
sum female [iw=FEX_C] if FG==1
local female= `r(mean)'
sum desplazado1 [iw=FEX_C] if FG==1
local desplazado1= `r(mean)'
mat C = (`ethnici1', `edumo2', `edumo3', `edufa2', `edufa3', `female', `desplazado1', 1)
mat list C
mat v= C*b
mat list v
gen v= `ethnici1'*b[1,1] +`edumo2'*b[2,1] +`edumo3'*b[3,1] + `edufa2'*b[4,1] + `edufa3'*b[5,1] + `female'*b[6,1] + `desplazado1'*b[7,1] + b[8,1]
I don't get what the problem is
I am running this code, and it's giving me an error: *b invalid name
gen v_eth= `ethnici1'*b[1,1] + edumo2*b[2,1] + edumo3*b[3,1] + edufa2*b[4,1] + edufa3*b[5,1] + female*b[6,1] + desplazado1*b[7,1] + b[8,1]
I had previously run this code,
* Regresión
regress ln_PERCAPITA ethnici1 edumo2 edumo3 edufa2 edufa3 female desplazado1 [iw=FEX_C] if FG==1
**Construccion inicadormatrix
matrix b= e(b)'
mat list b
mat rowname b = b1 b2 b3 b4 b5 b6 b7 b8
mat list b
predict mu
** Smoothed distribution
gen mu_tilde= exp(mu) if FG==1
label var mu_tilde "Smoothed distribution"
gen ln_mutilde = ln(mu_tilde)
**drop mu_tilde
** Residuales
gen e= ln_PERCAPITA-mu if FG==1
*las comillas en el r(mean) indican que estoy utilizando una variable macro
sum ethnici1 [iw=FEX_C] if FG==1
local ethnici1= `r(mean)'
**sum female [iw=FEX_C] if FG==1
**local female= `r(mean)'
sum edumo2 [iw=FEX_C] if FG==1
local edumo2= `r(mean)'
sum edumo3 [iw=FEX_C] if FG==1
local edumo3= `r(mean)'
sum edufa2 [iw=FEX_C] if FG==1
local edufa2= `r(mean)'
sum edufa3 [iw=FEX_C] if FG==1
local edufa3= `r(mean)'
sum female [iw=FEX_C] if FG==1
local female= `r(mean)'
sum desplazado1 [iw=FEX_C] if FG==1
local desplazado1= `r(mean)'
mat C = (`ethnici1', `edumo2', `edumo3', `edufa2', `edufa3', `female', `desplazado1', 1)
mat list C
mat v= C*b
mat list v
gen v= `ethnici1'*b[1,1] +`edumo2'*b[2,1] +`edumo3'*b[3,1] + `edufa2'*b[4,1] + `edufa3'*b[5,1] + `female'*b[6,1] + `desplazado1'*b[7,1] + b[8,1]
I don't get what the problem is
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