st: scaling factor in stata

["David Maimon" <maimon.1@sociology.osu.edu>]

Hi everyone,
I am trying to estimate a tobit model and for some reason i cant figure
out how to get stata to provide the scaling factor score. As you can see
below, i use "fitstat" to get some important fit measures yet the program
doesnt report the scaling factor score. Could someone help with this?
David




Tobit estimates                                   Number of obs   =       
811
                                                  LR chi2(22)     =    
151.83
                                                  Prob > chi2     =    
0.0000
Log likelihood = -476.96714                       Pseudo R2       =    
0.1373

------------------------------------------------------------------------------
    property |      Coef.   Std. Err.      t    P>|t|     [95% Conf.
Interval]
-------------+----------------------------------------------------------------
 i_negschool |   .1438988   .0964402     1.49   0.136    -.0454109   
.3332086
   i_negfrie |   .3286087   .1190633     2.76   0.006     .0948903    
.562327
    i_vicdis |   .3602288   .1439221     2.50   0.013     .0777132   
.6427444
   i_expecta |  -.2449927   .1493127    -1.64   0.101    -.5380898   
.0481044
    i_achiev |   .0280943   .1496701     0.19   0.851    -.2657043    
.321893
      inter1 |  -.0062191    .069371    -0.09   0.929    -.1423926   
.1299543
      i_fair |   .1938048   .2668298     0.73   0.468    -.3299755    
.717585
    i_angtot |   .5533719   .2260862     2.45   0.015     .1095704   
.9971734
 i_othemotot |  -.2058069   .2588424    -0.80   0.427     -.713908   
.3022942
    i_coptot |   .5607551   .3116832     1.80   0.072    -.0510714   
1.172582
       i_fam |    -.51321    .177625    -2.89   0.004    -.8618834  
-.1645365
         exp |   .8271674   .2257306     3.66   0.000     .3840638   
1.270271
       i_eth |   .4781895   .2986111     1.60   0.110    -.1079767   
1.064356
      i_russ |  -.1970712   .2650049    -0.74   0.457    -.7172692   
.3231268
    i_gender |   1.013957   .2410874     4.21   0.000     .5407089   
1.487206
       i_age |  -.2252049   .1067119    -2.11   0.035    -.4346776  
-.0157321
   i_parstat |   .0934778   .2195227     0.43   0.670    -.3374399   
.5243955
        edf1 |  -.1925121   .2930169    -0.66   0.511     -.767697   
.3826728
         edm |   .2202301   .2906582     0.76   0.449    -.3503247    
.790785
  i_twparwor |  -.0706699   .2206055    -0.32   0.749    -.5037131   
.3623732
     dorscho |   .0737095   .2356156     0.31   0.754    -.3887981   
.5362171
    i_sctype |   .0243988   .2112807     0.12   0.908      -.39034   
.4391376
       _cons |  -1.461237   2.162386    -0.68   0.499    -5.705946   
2.783473
-------------+----------------------------------------------------------------
         _se |   1.780561   .1241392           (Ancillary parameter)
------------------------------------------------------------------------------

  Obs. summary:        666  left-censored observations at property<=1
                       145     uncensored observations

.
. fitstat

Measures of Fit for tobit of property

Log-Lik Intercept Only:     -552.882     Log-Lik Full Model:         -476.967
D(787):                      953.934     LR(22):                      151.830
                                         Prob > LR:                     0.000
McFadden's R2:                 0.137     McFadden's Adj R2:             0.094
Maximum Likelihood R2:         0.171     Cragg & Uhler's R2:            0.229
McKelvey and Zavoina's R2:     0.306
Variance of y*:                4.568     Variance of error:             3.170
AIC:                           1.235     AIC*n:                      1001.934
BIC:                       -4317.603     BIC':                         -4.469



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