Re: st: svy, subpop ( ) with version 10

["Leda Inga" <ledainga@gmail.com>]

I'm still trying to find if there's a good measure of fit for a
fixed-effect logit model. As I answered in the last email, I'm really
interesed in getting one.

2008/6/6 Steven Samuels <sjhsamuels@earthlink.net>:
> The numbers of PSU and strata (before subsetting) are different. Therefore
> either the -svyset- commands or the data sets differ.  By the way, how did
> you resolve your cluster problem?
>
> Steven
> On Jun 6, 2008, at 8:04 PM, Leda Inga wrote:
>
>> Hi,
>>
>> I'm running a logit using svy and found a difference in the
>> coefficients and pvalues reported by version 9 and 10 of Stata. I
>> thought that it could be because of the observations that each one
>> takes into account. As you can see below the version 10 considers 4178
>> observations but  there are actually 8471 and the results are the same
>> as using the "if" after svy. Can anybody explain this?
>>
>> The command I used for both versions was:
>>
>> svy, subpop(urbano): logit PS n_hijos educ seguro V157 NSE rural
>> _ISREGION_3 _ISREGION_5 CPci CPci2 labor_prol
>>
>> VERSION 10:
>>
>> Survey: Logistic regression
>>
>> Number of strata   =        24                  Number of obs      =
>>  4178
>> Number of PSUs   =       451                 Population size    =
>> 2920.9792
>>
>>                            Subpop. no. of obs =      4178
>>                                                          Subpop. size
>>      = 2920.9792
>>                                                          Design df
>>      =       427
>>                                                          F(  10,
>> 418)    =     30.43
>>                                                          Prob > F
>>      =    0.0000
>>
>>
>> ------------------------------------------------------------------------------
>>             |             Linearized
>>          PS |      Coef.   Std. Err.      t    P>|t|     [95% Conf.
>> Interval]
>>
>> -------------+----------------------------------------------------------------
>>     n_hijos |  -.0627022   .0233953    -2.68   0.008    -.1086865
>> -.0167179
>>        educ |   .0995025   .0176722     5.63   0.000     .0647671
>>  .1342379
>>      seguro |   .2691795   .1430446     1.88   0.061    -.0119797
>>  .5503387
>>        V157 |   .2184025   .0961237     2.27   0.024     .0294679
>>  .4073371
>>         NSE |   .5893834   .0859681     6.86   0.000     .4204101
>>  .7583568
>> _ISREGION_3 |  -.8503491   .2073588    -4.10   0.000     -1.25792
>> -.4427781
>> _ISREGION_5 |  -.7629466   .2529318    -3.02   0.003    -1.260093
>> -.2658003
>>        CPci |    .298412   .0547975     5.45   0.000     .1907057
>>  .4061184
>>       CPci2 |  -.0109094   .0043379    -2.51   0.012    -.0194356
>> -.0023832
>>  labor_prol |    .415821   .1035528     4.02   0.000     .2122843
>>  .6193578
>>       _cons |  -2.961981   .3026012    -9.79   0.000    -3.556754
>> -2.367207
>>
>> ------------------------------------------------------------------------------
>> Note: 25 strata omitted because they contain no subpopulation members.
>>
>>
>> VERSION 9:
>>
>> Survey: Logistic regression
>>
>> Number of strata   =        49                  Number of obs      =
>>  8471
>> Number of PSUs   =      1118                 Population size    =
>>  6948.092
>>                                                          Subpop. no.
>> of obs =      4212
>>                                                          Subpop. size
>>      = 2945.3116
>>                                                          Design df
>>      =      1069
>>                                                          F(  10,
>> 1060)    =     31.19
>>                                                          Prob > F
>>      =    0.0000
>>
>>
>> ------------------------------------------------------------------------------
>>             |             Linearized
>>          PS |      Coef.   Std. Err.      t    P>|t|     [95% Conf.
>> Interval]
>>
>> -------------+----------------------------------------------------------------
>>     n_hijos |  -.0624413    .023198    -2.69   0.007      -.10796
>> -.0169225
>>        educ |    .100353   .0178213     5.63   0.000     .0653842
>>  .1353218
>>      seguro |   .2789113   .1415214     1.97   0.049     .0012202
>>  .5566025
>>        V157 |   .2192173   .0962575     2.28   0.023     .0303421
>>  .4080924
>>         NSE |   .5896208   .0851999     6.92   0.000     .4224427
>>  .7567989
>> _ISREGION_3 |  -.8230625   .2058183    -4.00   0.000    -1.226916
>> -.4192088
>> _ISREGION_5 |  -.7412179   .2491071    -2.98   0.003    -1.230012
>> -.2524236
>>        CPci |   .2921813     .04976     5.87   0.000      .194543
>>  .3898195
>>       CPci2 |  -.0103967   .0037064    -2.81   0.005    -.0176694
>>  -.003124
>>  labor_prol |   .4267068   .1025795     4.16   0.000     .2254268
>>  .6279867
>>       _cons |   -2.97932    .293572   -10.15   0.000    -3.555362
>> -2.403277
>>
>> ------------------------------------------------------------------------------
>>
>>
>> Thanks.
>> *
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>
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