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st: Estout and Stata 11


From   "Herve STOLOWY" <stolowy@hec.fr>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Estout and Stata 11
Date   Mon, 02 Nov 2009 20:17:39 +0100

Dear Statalisters:

I have the following syntax created with Stata 10 and using -estout- (downloadable from SSC). 

xi:logit english  ln_sales  roa_w  growth_op2_w leverage_w listing i.sic2 i.year i.country if sample_universe==1, robust nolog

estimates store m1, title(Logit on the universe)

estadd estatclass: m1
estadd nagelkerke: m1
estadd scalar cons = _b[_cons]: m1
estadd scalar cons_t = _b[_cons]/_se[_cons]: m1
estadd scalar cons_p = (1-normal(abs(_b[_cons]/_se[_cons]))) * 2: m1

estout m1 using Table4, replace  cells ("b(fmt(%9.3f) label(Coefficients)) t(fmt(%9.3f) label(z)) p(fmt(%9.3f))") stats (cons cons_t cons_p N chi2 p  r2_p nagelkerke p_corr, layout("@ @ @") fmt(3 3 3 0 3 0 3 3 3) labels("Constant" "Number of observations" "Chi square" "p(chi2)" "Pseudo R-square" "Nagelkerke R-square" "Pct classified in sample")) label labcol2( + - + - +, title(Predicted signs)) indicate("Industry effects = _Isic2*" "Year effects = _Iyear*" "Country effects = _Icountry*" , labels("Included" "Not included" ))  drop(_cons) type

It used to work perfectly.

I have installed Stata 11 today and I now get very strange results (sorry to copy them):

Predicted signs Logit on the universe           
                Coefficients    z       p
english                         
ln_sales        +       0.531   30.813  0.000
roa_w   -       -0.722  -4.639  0.000
growth_op2_w    +       0.161   7.981   0.000
leverage_w      -       -1.222  -11.122 0.000
English cross listing   +       1.128   10.733  0.000
o.sic2==12              0.000   .       .
o.sic2==41              0.000   .       .
o.sic2==74              0.000   .       .
o.sic2==81              0.000   .       .
o.sic2==83              0.000   .       .
o.sic2==84              0.000   .       .
o.sic2==85              0.000   .       .
o.sic2==91              0.000   .       .
o.sic2==92              0.000   .       .
o.sic2==94              0.000   .       .
o.sic2==97              0.000   .       .
o.country==BRA          0.000   .       .
o.country==CAN          0.000   .       .
o.country==CHL          0.000   .       .
o.country==CIV          0.000   .       .
o.country==CYM          0.000   .       .
o.country==CYP          0.000   .       .
o.country==CZE          0.000   .       .
o.country==HRV          0.000   .       .
o.country==ISR          0.000   .       .
o.country==JOR          0.000   .       .
o.country==LBR          0.000   .       .
o.country==LTU          0.000   .       .
o.country==MHL          0.000   .       .
o.country==MYS          0.000   .       .
o.country==PER          0.000   .       .
o.country==REU          0.000   .       .
o.country==ROM          0.000   .       .
o.country==ROU          0.000   .       .
o.country==SAU          0.000   .       .
o.country==SRB          0.000   .       .
o.country==SVK          0.000   .       .
o.country==THA          0.000   .       .
o.country==TUN          0.000   .       .
o.country==TWN          0.000   .       .
o.country==VGB          0.000   .       .
o.country==VIR          0.000   .       .
o.country==VNM          0.000   .       .
o.country==ZAF          0.000   .       .
Industry effects                Included                
Year effects            Included                
Country effects                 Included                
Constant                -0.763  -1.071  0.284
Number of observations          12871           
Chi square              2171.490                
p(chi2)         0               
Pseudo R-square         0.238           
Nagelkerke R-square             0.374           
Pct classified in sample                74.540          
(output written to Table4)

I did not have time to investigate all the changes in Stata 11.

Would you have any idea?

Best regards

Herve Stolowy




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