force loop continue and ignor errors

[Yanyu Li]

when I am using loop, I have 478 value variables. The data not fit the model sometimes, and the loop will get stuck. I tried to use -capture- to tell STATA, pls skip the error and keep working.

Here is my code:

forvalue i=1(1)478{
capture noisily:
arch ut rmrf smb hml umd if id==`i', earch(1) egarch(1) distribution(t)
predict variance1 if id==`i', variance
replace var2=variance1 if id==`i'
drop variance1
if _rc==0{
continue
}
}

unfortunately, it doesn't work.

I am really grateful if someone could help me figure it out.

Many thanks!

[Nick Cox]

forvalue i=1(1)478 {    
    capture noisily arch ut rmrf smb hml umd if id==`i', earch(1) egarch(1) distribution(t)    
    if _rc == 0 {          
        predict variance1 if id==`i', variance        
        replace var2=variance1 if id==`i'        
        drop variance1      
    }
}

[Yanyu Li]

I see! Many Big Thx, Nick!!!

Best,

[Necip Bulut]

Hello Nick Cox , I faced the same problem, could you please help me. My code is like that:

levelsof id, local(levels) // id is company id
foreach i of local levels{
    
    
    nlsur (l_gm_Y=ln({A})+({s}/(1-{s}))*(ln(({alph}*gm_K^(({s}-1)/{s}))+((1-{alph})*((exp({g}))*gm_L))^(({s}-1)/{s})))) (l_KY=ln({alph})+(({s}-1)/{s})*(ln(gm_Y/gm_K)-ln({A}))) (l_LY=ln(1-{alph})+(({s}-1)/{s})*(ln(gm_Y/gm_L)-ln({A})-{g})), initial(aa), if id==`i'
    
    replace coeff_A= _b[/A] if id==`i'
    replace coeff_s= _b[/s] if id==`i'
    replace coeff_alph= _b[/alph] if id==`i'
    replace coeff_g= _b[/g] if id==`i'
    
}

My panel data include about 280 firms. I am trying to fit my equation for each firm and to save results. However, Stata does not solve the minimization problem for some firms such as firm 6. I have received error code r(430) and my loop does not continue for the rest of the firms. I want that even if there is no solution for some firms, my loop codes ignore these firms and continue for other firms. How can I do that?

[Nick Cox]

It's really the same answer adapted to your commands.

[Necip Bulut]

Thanks a lot Nick Cox

[IPL Png]

Thanks so much, Nick!