Stata OUTPUT FOR EXEMPLAR 2


Stata commands in white, output in green and yellow, warnings are in red
Comments are in blue.

For comments on running the analyses go to the commented code file.


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. svyprop intuse                                          back to top
. /*-----------------------------------------------------------
>          Table 4.3
> get unweighted estimate of proportion of
> workplaces with an equal opportunities policy (EOP)
> but allowing for stratification
> -------------------------------------------------------------*/
. gen const=1

. svyset [pweight=const], strata(strata)
pweight is const
strata is strata

. /*----------------------------------------------------------
> now get weighted estimate - strata remain from previous call
> using svymean to get design effect
> ------------------------------------------------------------*/
. svyset [pweight=est_wt]
pweight is est_wt
strata is strata

. svydes

pweight:  est_wt
Strata:   strata
PSU:      
                                      #Obs per PSU
 Strata                       ----------------------------
 strata     #PSUs     #Obs       min      mean       max
--------  --------  --------  --------  --------  --------
       1        15        15         1       1.0         1
lines missed out
      71        25        25         1       1.0         1
--------  --------  --------  --------  --------  --------
      71      2191      2191         1       1.0         1

. svyprop eo

------------------------------------------------------------------------------
pweight:  est_wt                                Number of obs      =      2184
Strata:   strata                                Number of strata   =        71
PSU:                              Number of PSUs     =      2184
                                                Population size    = 2238.7715
------------------------------------------------------------------------------

Survey proportions estimation

  +---------------------------------------------------+
  |                eo    Obs   Est. Prop.   Std. Err. |
  |---------------------------------------------------|
  |      no eo policy    412     0.327215    0.018100 |
  | equal opps policy   1772     0.672785    0.018100 |
  +---------------------------------------------------+

. svymean eo,deff deft

Survey mean estimation

pweight:  est_wt                                  Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
                                                  Population size  = 2238.7715

------------------------------------------------------------------------------
    Mean |   Estimate    Std. Err.       Deff        Deft
---------+--------------------------------------------------------------------
      eo |   .6727851    .0181003    3.248741    1.802426
------------------------------------------------------------------------------
. svyprop intuse                                          back to top

. /*--------------------------------------------------------------
>          table 4.4
> now weighted table of proportions woth EOP by size of workplace
> ------------------------------------------------------------*/
. svytab  nempsize eo, row percent

pweight:  est_wt                                Number of obs      =      2184
Strata:   strata                                Number of strata   =        71
PSU:                              Number of PSUs     =      2184
                                                Population size    = 2238.7715

----------------------------------------
Size of   | equal opps policy recoded to
establish |             0 1             
ment      | no eo po  equal op     Total
----------+-----------------------------
  10 thru |    36.57     63.43       100
 25 to 49 |     35.2      64.8       100
 50 to 99 |    28.13     71.87       100
 100 to 1 |    18.75     81.25       100
 200 to 4 |    13.21     86.79       100
 500 or m |     8.71     91.29       100
          | 
    Total |    32.72     67.28       100
----------------------------------------
  Key:  row percentages

  Pearson:
    Uncorrected   chi2(5)         =   46.5507
    Design-based  F(2.19, 4625.03)=    6.9857     P = 0.0006
                                         back to top

. /*-------------------------------------------------------
>          table 4.5
> factors compared between eo workplaces and others
> -------------------------------------------------------*/
. svymean female,by(eo)

Survey mean estimation

pweight:  est_wt                                  Number of obs    =      2169
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2169
                                                  Population size  = 2233.6758

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.   [95% Conf. Interval]        Deff
---------------+--------------------------------------------------------------
female         |
      no_eo_po |   42.73338    2.430513    37.96691    47.49985    4.495512
      equal_op |   59.63827    1.266772    57.15401    62.12253    2.602532
------------------------------------------------------------------------------

. svymean ethnic,by(eo)

Survey mean estimation

pweight:  est_wt                                  Number of obs    =      2063
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2063
                                                  Population size  = 2204.9309

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.   [95% Conf. Interval]        Deff
---------------+--------------------------------------------------------------
ethnic         |
      no_eo_po |   3.337689    .4962556    2.364454    4.310923    3.743088
      equal_op |   5.810197    .5521122    4.727419    6.892975    3.338979
------------------------------------------------------------------------------

. svyprop disabgrp,by(eo)

------------------------------------------------------------------------------
pweight:  est_wt                                Number of obs      =      2074
Strata:   strata                                Number of strata   =        71
PSU:                              Number of PSUs     =      2074
                                                Population size    = 2209.8821
------------------------------------------------------------------------------

Survey proportions estimation

->  eo=no eo policy   

  +-------------------------------------------+
  |   disabgrp   Obs   Est. Prop.   Std. Err. |
  |-------------------------------------------|
  |       none   273     0.818294    0.031105 |
  |   under 3%    89     0.079993    0.014508 |
  | 3% or more    32     0.101713    0.027827 |
  +-------------------------------------------+

->  eo=equal opps policy   

  +-------------------------------------------+
  |   disabgrp   Obs   Est. Prop.   Std. Err. |
  |-------------------------------------------|
  |       none   893     0.775093    0.015699 |
  |   under 3%   652     0.128997    0.007244 |
  | 3% or more   135     0.095910    0.014338 |
  +-------------------------------------------+

. /*--------------------------------------------------------------
> now weighted linear models to get ses of differences
> ------------------------------------------------------------*/
. svyregress female eo

Survey linear regression

pweight:  est_wt                                  Number of obs    =      2169
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2169
                                                  Population size  = 2233.6758
                                                  F(   1,   2098)  =     34.79
                                                  Prob > F         =    0.0000
                                                  R-squared        =    0.0647

------------------------------------------------------------------------------
      female |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |   16.90488   2.866258     5.90   0.000     11.28388    22.52589
       _cons |   42.73338   2.430513    17.58   0.000     37.96691    47.49985
------------------------------------------------------------------------------

. svyregress ethnic eo

Survey linear regression

pweight:  est_wt                                  Number of obs    =      2063
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2063
                                                  Population size  = 2204.9309
                                                  F(   1,   1992)  =     11.13
                                                  Prob > F         =    0.0009
                                                  R-squared        =    0.0133

------------------------------------------------------------------------------
      ethnic |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |   2.472508   .7412694     3.34   0.001     1.018764    3.926253
       _cons |   3.337689   .4962556     6.73   0.000     2.364454    4.310923
------------------------------------------------------------------------------

. /*--------- get dummies for linear models----------*/
. tab disabgrp, gen(disab)

 Percentage |
         of |
  workforce |
  disabled, |
     groupe |      Freq.     Percent        Cum.
------------+-----------------------------------
       none |      1,171       56.27       56.27
   under 3% |        743       35.70       91.98
 3% or more |        167        8.02      100.00
------------+-----------------------------------
      Total |      2,081      100.00

. svyregress disab1 eo

Survey linear regression

pweight:  est_wt                                  Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  = 2209.8821
                                                  F(   1,   2003)  =      1.49
                                                  Prob > F         =    0.2220
                                                  R-squared        =    0.0025

------------------------------------------------------------------------------
      disab1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |  -.0432012   .0353675    -1.22   0.222    -.1125622    .0261597
       _cons |   .8182942   .0311046    26.31   0.000     .7572935    .8792949
------------------------------------------------------------------------------

. svyregress disab2 eo

Survey linear regression

pweight:  est_wt                                  Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  = 2209.8821
                                                  F(   1,   2003)  =      8.53
                                                  Prob > F         =    0.0035
                                                  R-squared        =    0.0053

------------------------------------------------------------------------------
      disab2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |   .0490037   .0167786     2.92   0.004     .0160984    .0819091
       _cons |   .0799929   .0145077     5.51   0.000     .0515412    .1084446
------------------------------------------------------------------------------

. svyregress disab3 eo

Survey linear regression

pweight:  est_wt                                  Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  = 2209.8821
                                                  F(   1,   2003)  =      0.03
                                                  Prob > F         =    0.8539
                                                  R-squared        =    0.0001

------------------------------------------------------------------------------
      disab3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |  -.0058025   .0315075    -0.18   0.854    -.0675934    .0559884
       _cons |   .1017129   .0278269     3.66   0.000     .0471403    .1562855
------------------------------------------------------------------------------

. /*--------------------------------------------------------------
> same analyses unweighted
> ------------------------------------------------------------*/
. svyset [pweight=const]
pweight is const
strata is strata

. svymean female,by(eo)

Survey mean estimation

pweight:  const                                   Number of obs    =      2169
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2169
                                                  Population size  =      2169

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.   [95% Conf. Interval]        Deff
---------------+--------------------------------------------------------------
female         |
      no_eo_po |   40.96654    1.281926    38.45256    43.48052    .9021551
      equal_op |   51.76528    .5240641    50.73754    52.79302    .5842003
------------------------------------------------------------------------------

. svymean ethnic,by(eo)

Survey mean estimation

pweight:  const                                   Number of obs    =      2063
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2063
                                                  Population size  =      2063

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.   [95% Conf. Interval]        Deff
---------------+--------------------------------------------------------------
ethnic         |
      no_eo_po |   3.810382    .4622849    2.903769    4.716995    .9985484
      equal_op |   5.616825      .26626    5.094648    6.139002    .9775552
------------------------------------------------------------------------------

. svyprop disabgrp,by(eo)

------------------------------------------------------------------------------
pweight:  const                                 Number of obs      =      2074
Strata:   strata                                Number of strata   =        71
PSU:                              Number of PSUs     =      2074
                                                Population size    =      2074
------------------------------------------------------------------------------

Survey proportions estimation

->  eo=no eo policy   

  +-------------------------------------------+
  |   disabgrp   Obs   Est. Prop.   Std. Err. |
  |-------------------------------------------|
  |       none   273     0.692893    0.022721 |
  |   under 3%    89     0.225888    0.020503 |
  | 3% or more    32     0.081218    0.013680 |
  +-------------------------------------------+

->  eo=equal opps policy   

  +-------------------------------------------+
  |   disabgrp   Obs   Est. Prop.   Std. Err. |
  |-------------------------------------------|
  |       none   893     0.531548    0.011289 |
  |   under 3%   652     0.388095    0.010913 |
  | 3% or more   135     0.080357    0.006600 |
  +-------------------------------------------+

. svyregress disab1 eo

Survey linear regression

pweight:  const                                   Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  =      2074
                                                  F(   1,   2003)  =     38.49
                                                  Prob > F         =    0.0000
                                                  R-squared        =    0.0163

------------------------------------------------------------------------------
      disab1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |  -.1613458   .0260061    -6.20   0.000    -.2123475    -.110344
       _cons |   .6928934   .0227206    30.50   0.000     .6483349    .7374519
------------------------------------------------------------------------------

. svyregress disab2 eo

Survey linear regression

pweight:  const                                   Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  =      2074
                                                  F(   1,   2003)  =     46.12
                                                  Prob > F         =    0.0000
                                                  R-squared        =    0.0176

------------------------------------------------------------------------------
      disab2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |   .1622069   .0238852     6.79   0.000     .1153646    .2090493
       _cons |   .2258883   .0205025    11.02   0.000     .1856798    .2660968
------------------------------------------------------------------------------

. svyregress disab3 eo

Survey linear regression

pweight:  const                                   Number of obs    =      2074
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2074
                                                  Population size  =      2074
                                                  F(   1,   2003)  =      0.00
                                                  Prob > F         =    0.9549
                                                  R-squared        =    0.0000

------------------------------------------------------------------------------
      disab3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
          eo |  -.0008611   .0152375    -0.06   0.955    -.0307441    .0290218
       _cons |   .0812183   .0136803     5.94   0.000     .0543892    .1080473
------------------------------------------------------------------------------
. 																back to top

. /*--------------------------------------------------------------
>                 table 4.6
> now weighted multivariate logistic models 
> ------------------------------------------------------------*/
. svyset [pweight=est_wt]
pweight is est_wt
strata is strata

. svylogit eo female disab2 disab3 ethnic

Survey logistic regression

pweight:  est_wt                                  Number of obs    =      2024
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2024
                                                  Population size  = 2197.8901
                                                  F(   4,   1950)  =     12.10
                                                  Prob > F         =    0.0000

------------------------------------------------------------------------------
          eo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      female |   .0185749   .0032457     5.72   0.000     .0122094    .0249403
      disab2 |   .6807342   .2116736     3.22   0.001     .2656043    1.095864
      disab3 |  -.1892321   .3754403    -0.50   0.614    -.9255378    .5470735
      ethnic |   .0287906   .0118429     2.43   0.015     .0055645    .0520168
       _cons |  -.4123304   .1910654    -2.16   0.031     -.787044   -.0376168
------------------------------------------------------------------------------

. 
. /*--------------------------------------------------------------
> now unweighted multivariate logistic models 
> ------------------------------------------------------------*/
. svyset [pweight=const]
pweight is const
strata is strata

. svylogit eo female disab2 disab3 ethnic

Survey logistic regression

pweight:  const                                   Number of obs    =      2024
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2024
                                                  Population size  =      2024
                                                  F(   4,   1950)  =     24.35
                                                  Prob > F         =    0.0000

------------------------------------------------------------------------------
          eo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      female |   .0139917   .0018713     7.48   0.000     .0103218    .0176617
      disab2 |   .8473436   .1355587     6.25   0.000     .5814887    1.113199
      disab3 |   .1089644   .2085119     0.52   0.601    -.2999648    .5178937
      ethnic |   .0171373   .0085307     2.01   0.045      .000407    .0338675
       _cons |   .4442131   .1084055     4.10   0.000     .2316106    .6568157
------------------------------------------------------------------------------
.                                                                 back to top

. /*--------------------------------------------------------------
>                 table 4.7adjusted for workplace size
> now weighted multivariate logistic models 
> ------------------------------------------------------------*/
. tab nempsize, gen(numemp)

Size of establishment |      Freq.     Percent        Cum.
----------------------+-----------------------------------
 10 thru 24 employees |        262       11.96       11.96
   25 to 49 employees |        396       18.07       30.03
   50 to 99 employees |        393       17.94       47.97
 100 to 199 employees |        387       17.66       65.63
 200 to 499 employees |        456       20.81       86.44
500 or more employees |        297       13.56      100.00
----------------------+-----------------------------------
                Total |      2,191      100.00

. svyset [pweight=est_wt]
pweight is est_wt
strata is strata

. svylogit eo female disab2 disab3 ethnic numemp2-numemp6

Survey logistic regression

pweight:  est_wt                                  Number of obs    =      2024
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2024
                                                  Population size  = 2197.8901
                                                  F(   9,   1945)  =     11.67
                                                  Prob > F         =    0.0000

------------------------------------------------------------------------------
          eo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      female |   .0197761   .0033316     5.94   0.000     .0132423    .0263099
      disab2 |   .0046995   .2246153     0.02   0.983    -.4358115    .4452104
      disab3 |  -.2228648    .377051    -0.59   0.555    -.9623294    .5165997
      ethnic |   .0293247   .0122012     2.40   0.016     .0053959    .0532535
     numemp2 |   .0715262   .2206386     0.32   0.746    -.3611856     .504238
     numemp3 |   .5539894   .2187152     2.53   0.011     .1250497    .9829292
     numemp4 |   1.152938   .2508128     4.60   0.000     .6610493    1.644827
     numemp5 |    1.65399   .2911786     5.68   0.000     1.082936    2.225043
     numemp6 |   1.991005   .3494775     5.70   0.000     1.305617    2.676393
       _cons |  -.6166667   .2364682    -2.61   0.009    -1.080423     -.15291
------------------------------------------------------------------------------

. 
. /*--------------------------------------------------------------
> now unweighted multivariate logistic models 
> ------------------------------------------------------------*/
. svyset [pweight=const]
pweight is const
strata is strata

. svylogit eo female disab2 disab3 ethnic numemp2-numemp6

Survey logistic regression

pweight:  const                                   Number of obs    =      2024
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2024
                                                  Population size  =      2024
                                                  F(   9,   1945)  =     19.32
                                                  Prob > F         =    0.0000

------------------------------------------------------------------------------
          eo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      female |   .0171235   .0019499     8.78   0.000     .0132993    .0209477
      disab2 |   .1770423   .1616377     1.10   0.274    -.1399582    .4940429
      disab3 |   .0040648   .2130104     0.02   0.985    -.4136867    .4218164
      ethnic |   .0159542   .0090478     1.76   0.078    -.0017902    .0336986
     numemp2 |   .1220072   .1794018     0.68   0.497    -.2298319    .4738462
     numemp3 |   .5459611   .1895193     2.88   0.004     .1742798    .9176424
     numemp4 |   1.096627   .2178593     5.03   0.000     .6693654    1.523888
     numemp5 |   1.575925   .2331842     6.76   0.000     1.118609    2.033242
     numemp6 |   1.734561   .3051802     5.68   0.000     1.136048    2.333074
       _cons |  -.2072431   .1754054    -1.18   0.238    -.5512446    .1367583
------------------------------------------------------------------------------

. svyprop intuse                                          back to top
 
. 
. /*--------------------------------------------------------------
> now mean of eo and by size group allowing for finite population
> correction
> Stata requires two things to get the finite population correct
> 1. A variable with the number of PSUs in the startum
> 2. Weights that add to the population size
> 
> first without fpc
> ------------------------------------------------------------*/
. svyset [pweight=grosswt], strata(strata) clear(fpc)
pweight is grosswt
strata is strata

. svymean eo ,deff deft

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
                                                  Population size  = 261888.74

------------------------------------------------------------------------------
    Mean |   Estimate    Std. Err.       Deff        Deft
---------+--------------------------------------------------------------------
      eo |   .6727851    .0181003    3.248741    1.802426
------------------------------------------------------------------------------

. svymean eo,  deff deft by(nempsize)

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
                                                  Population size  = 261888.74

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.       Deff        Deft
---------------+--------------------------------------------------------------
eo             |
      10_thru_ |   .6343108     .032809    5.057802    2.248956
      25_to_49 |   .6480435    .0349011    3.025251    1.739325
      50_to_99 |    .718747    .0263963    .9300344    .9643829
      100_to_1 |   .8124946    .0235814     .519204    .7205581
      200_to_4 |   .8679404    .0204599    .3112757    .5579209
      500_or_m |   .9129004    .0183455    .1241133    .3522972
------------------------------------------------------------------------------

. svymean eo,  deff deft by(nempsize)srssubpop

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
                                                  Population size  = 261888.74

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.       Deff        Deft
---------------+--------------------------------------------------------------
eo             |
      10_thru_ |   .6343108     .032809    1.197271    1.094199
      25_to_49 |   .6480435    .0349011    2.109514    1.452417
      50_to_99 |    .718747    .0263963    1.340794    1.157927
      100_to_1 |   .8124946    .0235814    1.408938    1.186987
      200_to_4 |   .8679404    .0204599    1.661722    1.289078
      500_or_m |   .9129004    .0183455    1.248647    1.117429
------------------------------------------------------------------------------

. /*----------- now with fpc--------------------------------*/
. svyset [pweight=grosswt] ,fpc(sampfrac) strata(strata)
pweight is grosswt
strata is strata
fpc is sampfrac

. svymean eo, deff deft

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
FPC:      sampfrac                                Population size  = 261888.74

------------------------------------------------------------------------------
    Mean |   Estimate    Std. Err.       Deff        Deft
---------+--------------------------------------------------------------------
      eo |   .6727851    .0180649    3.263253    1.798899
------------------------------------------------------------------------------
Finite population correction (FPC) assumes simple random sampling without 
replacement of PSUs within each stratum with no subsampling within PSUs.
Weights must represent population totals for deff to be correct when
using an FPC.  Note: deft is invariant to the scale of weights.

. svymean eo,  deff deft by(nempsize)

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
FPC:      sampfrac                                Population size  = 261888.74

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.       Deff        Deft
---------------+--------------------------------------------------------------
eo             |
      10_thru_ |   .6343108    .0327519      5.0826    2.245042
      25_to_49 |   .6480435    .0348414    3.040257    1.736348
      50_to_99 |    .718747    .0262604    .9282226    .9594174
      100_to_1 |   .8124946    .0233453     .513138    .7133434
      200_to_4 |   .8679404    .0201238    .3036667     .548757
      500_or_m |   .9129004    .0175665    .1147547    .3373392
------------------------------------------------------------------------------
Finite population correction (FPC) assumes simple random sampling without 
replacement of PSUs within each stratum with no subsampling within PSUs.
Weights must represent population totals for deff to be correct when
using an FPC.  Note: deft is invariant to the scale of weights.

. svymean eo,  deff deft by(nempsize)srssubpop

Survey mean estimation

pweight:  grosswt                                 Number of obs    =      2184
Strata:   strata                                  Number of strata =        71
PSU:                                Number of PSUs   =      2184
FPC:      sampfrac                                Population size  = 261888.74

------------------------------------------------------------------------------
Mean   Subpop. |   Estimate    Std. Err.       Deff        Deft
---------------+--------------------------------------------------------------
eo             |
      10_thru_ |   .6343108    .0327519    1.195476    1.092295
      25_to_49 |   .6480435    .0348414     2.11462     1.44993
      50_to_99 |    .718747    .0262604    1.343205    1.151964
      100_to_1 |   .8124946    .0233453    1.412908    1.175102
      200_to_4 |   .8679404    .0201238    1.682622    1.267905
      500_or_m |   .9129004    .0175665    1.250052    1.069984
------------------------------------------------------------------------------
Finite population correction (FPC) assumes simple random sampling without 
replacement of PSUs within each stratum with no subsampling within PSUs.
Weights must represent population totals for deff to be correct when
using an FPC.  Note: deft is invariant to the scale of weights.

. /*----------------------------------------------------
> The two analyses give the different ways that design 
> effects can be defined for subgroups
> The second one that compares the design with simple random
> samples of the same size within subgroups is more helpful
> Note that design effects are much reduced within 
> subgroups. This is because the subgroups are so strogly
> associated with the weighting factor here.
> ---------------------------------------------------------*/
. 
. 
end of do-file

. log close
       log:  C:\Documents and Settings\gillian raab\My Documents\aprojects\peas\ex4datafiles\results\satata.log
  log type:  text
 closed on:   2 Sep 2005, 15:01:10
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