---------------------------------------------------------------------------------------------------------

       log:  C:\AAA Miker Files\newer web pages\soc_388_notes\soc_388_2007\class_eight_log.log

  log type:  text

 opened on:  18 Oct 2007, 11:02:02

 

. use "C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta", clear

 

. *This is the CPS data from last class, the big dataset with 133K observations that I am about to contract

. contract maritl sex race if age>19 & age<60, zero

no room to add more variables due to width

    An attempt was made to add a variable that would have increased the memory required to store an

    observation beyond what is currently possible.  You have the following alternatives:

 

     1.  Store existing variables more efficiently; see help compress.

 

     2.  Drop some variables or observations; see help drop.  (Think of Stata's data area as the area of

         a rectangle; Stata can trade off width and length.)

 

     3.  Increase the amount of memory allocated to the data area using the set memory command; see help

         memory.

r(902);

 

. clear

 

. set mem 200m

 

Current memory allocation

 

                    current                                 memory usage

    settable          value     description                 (1M = 1024k)

    --------------------------------------------------------------------

    set maxvar         5000     max. variables allowed           1.733M

    set memory          200M    max. data space                200.000M

    set matsize         400     max. RHS vars in models          1.254M

                                                            -----------

                                                               202.987M

 

. use "C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta", clear

 

. contract maritl sex race if age>19 & age<60, zero

 

. rename _freq count

 

. tabulate race

 

        p25 |      Freq.     Percent        Cum.

------------+-----------------------------------

      White |         14       25.00       25.00

      Black |         14       25.00       50.00

Amer Indian |         14       25.00       75.00

      Asian |         14       25.00      100.00

------------+-----------------------------------

      Total |         56      100.00

 

. tabulate race [fweight=count]

 

        p25 |      Freq.     Percent        Cum.

------------+-----------------------------------

      White |     61,729       85.18       85.18

      Black |      7,045        9.72       94.90

Amer Indian |        957        1.32       96.22

      Asian |      2,737        3.78      100.00

------------+-----------------------------------

      Total |     72,468      100.00

 

. tabulate race [fweight=count], nolab

 

        p25 |      Freq.     Percent        Cum.

------------+-----------------------------------

          1 |     61,729       85.18       85.18

          2 |      7,045        9.72       94.90

          3 |        957        1.32       96.22

          4 |      2,737        3.78      100.00

------------+-----------------------------------

      Total |     72,468      100.00

 

. save "C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta"

file C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta saved

 

. *build a contrast

. * build a contrast between blacks and whites...

. gen black_v_white=0 if race==1

(42 missing values generated)

 

. replace  black_v_white=1 if race==2

(14 real changes made)

 

. label define race_contrast 0 "white" 1 "black"

 

. label val  black_v_white race_contrast

 

. set linesize 79

 

. desmat: poisson count sex maritl race  black_v_white*maritl

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  28

   Initial log likelihood:                                          -82911.173

   Log likelihood:                                                    -714.325

   LR chi square:                                                   164393.696

   Model degrees of freedom:                                                14

   Pseudo R-squared:                                                     0.991

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.054**     0.008

     maritl

2      married, AF spouse present                           -4.935**     0.061

3      married, spouse absent                               -3.889**     0.036

4      widowed                                              -3.857**     0.036

5      divorced                                             -1.747**     0.013

6      separated                                            -3.394**     0.028

7      never married                                        -1.030**     0.010

     race

8      Black                                                -2.660**     0.020

     black_v_white.maritl

9      black.married, AF spouse present                      0.780**     0.167

10     black.married, spouse absent                          0.800**     0.099

11     black.widowed                                         1.034**     0.089

12     black.divorced                                        0.602**     0.042

13     black.separated                                       1.542**     0.060

14     black.never married                                   1.065**     0.029

15   _cons                                                   9.832**     0.006

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. tabulate race [fweight=count]

 

        p25 |      Freq.     Percent        Cum.

------------+-----------------------------------

      White |     61,729       85.18       85.18

      Black |      7,045        9.72       94.90

Amer Indian |        957        1.32       96.22

      Asian |      2,737        3.78      100.00

------------+-----------------------------------

      Total |     72,468      100.00

 

. desmat: poisson count sex maritl race

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                   -1809.960

   LR chi square:                                                   240625.359

   Model degrees of freedom:                                                10

   Pseudo R-squared:                                                     0.985

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.057**     0.007

     maritl

2      married, AF spouse present                           -4.844**     0.055

3      married, spouse absent                               -3.740**     0.032

4      widowed                                              -3.749**     0.032

5      divorced                                             -1.709**     0.012

6      separated                                            -3.185**     0.024

7      never married                                        -0.900**     0.009

     race

8      Black                                                -2.170**     0.013

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

11   _cons                                                   9.787**     0.006

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. replace  black_v_white=0 if  black_v_white==.

(28 real changes made)

 

. save "C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta", replace

file C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta saved

 

. table race , contents (mean black_v_white)

 

----------------------------

        p25 | mean(black_~e)

------------+---------------

      White |              0

      Black |              1

Amer Indian |              0

      Asian |              0

----------------------------

 

. *Make a note from class, when I first created the black_v_white variable it had missing values for the other two racial categories, which were then dropped from the regressions. I fixed this by setting the other categories back to zero.

. rename black_v_white black_v_others

 

. desmat: poisson count sex maritl race  black_v_white*maritl

variable black_v_white not found

r(111);

 

. desmat: poisson count sex maritl race  black_v_others*maritl

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -975.476

   LR chi square:                                                   242294.327

   Model degrees of freedom:                                                16

   Pseudo R-squared:                                                     0.992

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.057**     0.007

     maritl

2      married, AF spouse present                           -4.912**     0.058

3      married, spouse absent                               -3.803**     0.034

4      widowed                                              -3.856**     0.035

5      divorced                                             -1.761**     0.013

6      separated                                            -3.390**     0.028

7      never married                                        -1.009**     0.010

     race

8      Black                                                -2.655**     0.020

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, AF spouse present                      0.757**     0.166

12     black.married, spouse absent                          0.715**     0.099

13     black.widowed                                         1.032**     0.089

14     black.divorced                                        0.616**     0.041

15     black.separated                                       1.537**     0.059

16     black.never married                                   1.044**     0.029

17   _cons                                                   9.825**     0.006

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *Compared to married, which is category one, the category which is the default comparison category, blacks are over-represented in every other marital status group.

. poisgof

 

         Goodness-of-fit chi2  =  1579.077

         Prob > chi2(39)       =    0.0000

 

. desmat: poisson count sex maritl race  black_v_others*maritl=ind(1)*ind(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -975.476

   LR chi square:                                                   242294.327

   Model degrees of freedom:                                                16

   Pseudo R-squared:                                                     0.992

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.057**     0.007

     maritl

2      married, AF spouse present                           -4.912**     0.058

3      married, spouse absent                               -3.803**     0.034

4      widowed                                              -3.856**     0.035

5      divorced                                             -1.761**     0.013

6      separated                                            -3.390**     0.028

7      never married                                        -1.009**     0.010

     race

8      Black                                                -2.655**     0.020

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, AF spouse present                      0.757**     0.166

12     black.married, spouse absent                          0.715**     0.099

13     black.widowed                                         1.032**     0.089

14     black.divorced                                        0.616**     0.041

15     black.separated                                       1.537**     0.059

16     black.never married                                   1.044**     0.029

17   _cons                                                   9.825**     0.006

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. poisgof

 

         Goodness-of-fit chi2  =  1579.077

         Prob > chi2(39)       =    0.0000

 

. *exactly the same coefficients...

. *because ind(1) is the default

. desmat: poisson count sex maritl race  black_v_others*maritl=ind(1)*ind(5)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -975.476

   LR chi square:                                                   242294.327

   Model degrees of freedom:                                                16

   Pseudo R-squared:                                                     0.992

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.057**     0.007

     maritl

2      married, AF spouse present                           -4.912**     0.058

3      married, spouse absent                               -3.803**     0.034

4      widowed                                              -3.856**     0.035

5      divorced                                             -1.761**     0.013

6      separated                                            -3.390**     0.028

7      never married                                        -1.009**     0.010

     race

8      Black                                                -2.039**     0.036

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, spouse present                        -0.616**     0.041

12     black.married, AF spouse present                      0.141       0.169

13     black.married, spouse absent                          0.099       0.103

14     black.widowed                                         0.416**     0.094

15     black.separated                                       0.922**     0.067

16     black.never married                                   0.428**     0.042

17   _cons                                                   9.825**     0.006

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *Here the coefficients for the interactions are all different, because the comparison is to divorce.

. poisgof

 

         Goodness-of-fit chi2  =  1579.077

         Prob > chi2(39)       =    0.0000

 

. *if we add a third dimension- is there a gender difference for blacks in terms of marital status, the problem with the coefficients depending on the excluded category gets even more troublesome.

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=ind(1)*ind(5)=ind(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.268**     0.024

     maritl

2      married, AF spouse present                           -6.796**     0.213

3      married, spouse absent                               -3.695**     0.046

4      widowed                                              -4.837**     0.080

5      divorced                                             -1.878**     0.020

6      separated                                            -3.645**     0.045

7      never married                                        -0.866**     0.013

     race

8      Black                                                -2.167**     0.058

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, spouse present                        -0.449**     0.065

12     black.married, AF spouse present                      1.436**     0.386

13     black.married, spouse absent                          0.003       0.156

14     black.widowed                                         0.641**     0.203

15     black.separated                                       0.931**     0.112

16     black.never married                                   0.259**     0.066

     black_v_others.sex

17     black.female                                          0.215**     0.075

     maritl.sex

18     married, spouse present.female                       -0.218**     0.026

19     married, AF spouse present.female                     2.258**     0.223

20     married, spouse absent.female                        -0.442**     0.071

21     widowed.female                                        1.230**     0.092

22     separated.female                                      0.231**     0.061

23     never married.female                                 -0.518**     0.029

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.293**     0.085

25     black.married, AF spouse present.female              -1.578**     0.431

26     black.married, spouse absent.female                   0.222       0.208

27     black.widowed.female                                 -0.335       0.229

28     black.separated.female                               -0.032       0.139

29     black.never married.female                            0.367**     0.086

30   _cons                                                   9.829**     0.007

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=ind(0)*ind(5)=ind(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.268**     0.024

     maritl

2      married, AF spouse present                           -6.796**     0.213

3      married, spouse absent                               -3.695**     0.046

4      widowed                                              -4.837**     0.080

5      divorced                                             -1.878**     0.020

6      separated                                            -3.645**     0.045

7      never married                                        -0.866**     0.013

     race

8      Black                                                -2.167**     0.058

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, spouse present                        -0.449**     0.065

12     black.married, AF spouse present                      1.436**     0.386

13     black.married, spouse absent                          0.003       0.156

14     black.widowed                                         0.641**     0.203

15     black.separated                                       0.931**     0.112

16     black.never married                                   0.259**     0.066

     black_v_others.sex

17     black.female                                          0.215**     0.075

     maritl.sex

18     married, spouse present.female                       -0.218**     0.026

19     married, AF spouse present.female                     2.258**     0.223

20     married, spouse absent.female                        -0.442**     0.071

21     widowed.female                                        1.230**     0.092

22     separated.female                                      0.231**     0.061

23     never married.female                                 -0.518**     0.029

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.293**     0.085

25     black.married, AF spouse present.female              -1.578**     0.431

26     black.married, spouse absent.female                   0.222       0.208

27     black.widowed.female                                 -0.335       0.229

28     black.separated.female                               -0.032       0.139

29     black.never married.female                            0.367**     0.086

30   _cons                                                   9.829**     0.007

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=ind(2)*ind(5)=ind(1)

 

*Later Note: I meant ind(2)*ind(5)*ind(1)- I am not sure why it worked with= but see desmat help.

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.483**     0.071

     maritl

2      married, AF spouse present                           -4.910**     0.317

3      married, spouse absent                               -3.243**     0.140

4      widowed                                              -3.747**     0.179

5      divorced                                             -1.429**     0.062

6      separated                                            -2.264**     0.088

7      never married                                        -0.159**     0.040

     race

8      Black                                                -2.167**     0.058

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     white.married, spouse present                         0.449**     0.065

12     white.married, AF spouse present                     -1.436**     0.386

13     white.married, spouse absent                         -0.003       0.156

14     white.widowed                                        -0.641**     0.203

15     white.separated                                      -0.931**     0.112

16     white.never married                                  -0.259**     0.066

     black_v_others.sex

17     white.female                                         -0.215**     0.075

     maritl.sex

18     married, spouse present.female                       -0.511**     0.080

19     married, AF spouse present.female                     0.680       0.369

20     married, spouse absent.female                        -0.220       0.196

21     widowed.female                                        0.895**     0.210

22     separated.female                                      0.199       0.125

23     never married.female                                 -0.151       0.080

     black_v_others.maritl.sex

24     white.married, spouse present.female                  0.293**     0.085

25     white.married, AF spouse present.female               1.578**     0.431

26     white.married, spouse absent.female                  -0.222       0.208

27     white.widowed.female                                  0.335       0.229

28     white.separated.female                                0.032       0.139

29     white.never married.female                           -0.367**     0.086

30   _cons                                                   9.380**     0.064

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *If you have only two categories, switching the indicator comparison category just reverses the coefficients. But if you have many categories, it becomes a thornier problem.

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. *for desmat, the key to dealing with multiple categories and several dimensions, without having your coefficients all depend on the arbitrary excluded categories, is sums-to-zero coding, or what desmat calls deviation coding, which is the default in SAS, but indicator coding is the default in desmat and in the built in xi function in stata.

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=dev(1)*dev(2)*dev(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     race

1      Amer Indian                                          -4.167**     0.033

2      Asian                                                -3.116**     0.020

     black_v_others

3      black                                                -0.887**     0.019

     maritl

4      married, spouse present                               2.371**     0.021

5      married, spouse absent                               -1.080**     0.045

6      widowed                                              -1.207**     0.050

7      divorced                                              0.900**     0.025

8      separated                                            -0.293**     0.031

9      never married                                         1.874**     0.021

     black_v_others.maritl

10     black.married, spouse present                        -0.440**     0.021

11     black.married, spouse absent                         -0.086       0.045

12     black.widowed                                         0.094       0.050

13     black.divorced                                       -0.143**     0.025

14     black.separated                                       0.315**     0.031

15     black.never married                                   0.079**     0.021

     sex

16     female                                                0.311**     0.019

     black_v_others.sex

17     black.female                                         -0.005       0.019

     maritl.sex

18     married, spouse present.female                       -0.305**     0.021

19     married, spouse absent.female                        -0.288**     0.045

20     widowed.female                                        0.409**     0.050

21     divorced.female                                      -0.123**     0.025

22     separated.female                                     -0.015       0.031

23     never married.female                                 -0.290**     0.021

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.014       0.021

25     black.married, spouse absent.female                   0.114*      0.045

26     black.widowed.female                                 -0.025       0.050

27     black.divorced.female                                 0.059*      0.025

28     black.separated.female                                0.051       0.031

29     black.never married.female                            0.151**     0.021

30   _cons                                                   6.155**     0.019

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. *the same goodness of fit, but all the coeffients in the interactions are built on deviation coding, so they are not dependent on excluded category.

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=dev(1)*dev(2)*dev(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     race

1      Amer Indian                                          -4.167**     0.033

2      Asian                                                -3.116**     0.020

     black_v_others

3      black                                                -0.887**     0.019

     maritl

4      married, spouse present                               2.371**     0.021

5      married, spouse absent                               -1.080**     0.045

6      widowed                                              -1.207**     0.050

7      divorced                                              0.900**     0.025

8      separated                                            -0.293**     0.031

9      never married                                         1.874**     0.021

     black_v_others.maritl

10     black.married, spouse present                        -0.440**     0.021

11     black.married, spouse absent                         -0.086       0.045

12     black.widowed                                         0.094       0.050

13     black.divorced                                       -0.143**     0.025

14     black.separated                                       0.315**     0.031

15     black.never married                                   0.079**     0.021

     sex

16     female                                                0.311**     0.019

     black_v_others.sex

17     black.female                                         -0.005       0.019

     maritl.sex

18     married, spouse present.female                       -0.305**     0.021

19     married, spouse absent.female                        -0.288**     0.045

20     widowed.female                                        0.409**     0.050

21     divorced.female                                      -0.123**     0.025

22     separated.female                                     -0.015       0.031

23     never married.female                                 -0.290**     0.021

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.014       0.021

25     black.married, spouse absent.female                   0.114*      0.045

26     black.widowed.female                                 -0.025       0.050

27     black.divorced.female                                 0.059*      0.025

28     black.separated.female                                0.051       0.031

29     black.never married.female                            0.151**     0.021

30   _cons                                                   6.155**     0.019

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=ind(2)*ind(5)*ind(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.483**     0.071

     maritl

2      married, AF spouse present                           -4.910**     0.317

3      married, spouse absent                               -3.243**     0.140

4      widowed                                              -3.747**     0.179

5      divorced                                             -1.429**     0.062

6      separated                                            -2.264**     0.088

7      never married                                        -0.159**     0.040

     race

8      Black                                                -2.167**     0.058

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     white.married, spouse present                         0.449**     0.065

12     white.married, AF spouse present                     -1.436**     0.386

13     white.married, spouse absent                         -0.003       0.156

14     white.widowed                                        -0.641**     0.203

15     white.separated                                      -0.931**     0.112

16     white.never married                                  -0.259**     0.066

     black_v_others.sex

17     white.female                                         -0.215**     0.075

     maritl.sex

18     married, spouse present.female                       -0.511**     0.080

19     married, AF spouse present.female                     0.680       0.369

20     married, spouse absent.female                        -0.220       0.196

21     widowed.female                                        0.895**     0.210

22     separated.female                                      0.199       0.125

23     never married.female                                 -0.151       0.080

     black_v_others.maritl.sex

24     white.married, spouse present.female                  0.293**     0.085

25     white.married, AF spouse present.female               1.578**     0.431

26     white.married, spouse absent.female                  -0.222       0.208

27     white.widowed.female                                  0.335       0.229

28     white.separated.female                                0.032       0.139

29     white.never married.female                           -0.367**     0.086

30   _cons                                                   9.380**     0.064

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=ind(1)*ind(5)*ind(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     sex

1      female                                                0.268**     0.024

     maritl

2      married, AF spouse present                           -6.796**     0.213

3      married, spouse absent                               -3.695**     0.046

4      widowed                                              -4.837**     0.080

5      divorced                                             -1.878**     0.020

6      separated                                            -3.645**     0.045

7      never married                                        -0.866**     0.013

     race

8      Black                                                -2.167**     0.058

9      Amer Indian                                          -4.167**     0.033

10     Asian                                                -3.116**     0.020

     black_v_others.maritl

11     black.married, spouse present                        -0.449**     0.065

12     black.married, AF spouse present                      1.436**     0.386

13     black.married, spouse absent                          0.003       0.156

14     black.widowed                                         0.641**     0.203

15     black.separated                                       0.931**     0.112

16     black.never married                                   0.259**     0.066

     black_v_others.sex

17     black.female                                          0.215**     0.075

     maritl.sex

18     married, spouse present.female                       -0.218**     0.026

19     married, AF spouse present.female                     2.258**     0.223

20     married, spouse absent.female                        -0.442**     0.071

21     widowed.female                                        1.230**     0.092

22     separated.female                                      0.231**     0.061

23     never married.female                                 -0.518**     0.029

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.293**     0.085

25     black.married, AF spouse present.female              -1.578**     0.431

26     black.married, spouse absent.female                   0.222       0.208

27     black.widowed.female                                 -0.335       0.229

28     black.separated.female                               -0.032       0.139

29     black.never married.female                            0.367**     0.086

30   _cons                                                   9.829**     0.007

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. save "C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta", replace

file C:\AAA Miker Files\newer web pages\soc_388_notes\collapsed age race marital from cps.dta saved

 

. *Women are less likely to be married than men, in part because women live longer (and are more likely to be widowed). For blacks, the gender difference is even stronger, that is black women are even less likely to be married than black men.

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=dev(1)*dev(2)*dev(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     race

1      Amer Indian                                          -4.167**     0.033

2      Asian                                                -3.116**     0.020

     black_v_others

3      black                                                -0.887**     0.019

     maritl

4      married, spouse present                               2.371**     0.021

5      married, spouse absent                               -1.080**     0.045

6      widowed                                              -1.207**     0.050

7      divorced                                              0.900**     0.025

8      separated                                            -0.293**     0.031

9      never married                                         1.874**     0.021

     black_v_others.maritl

10     black.married, spouse present                        -0.440**     0.021

11     black.married, spouse absent                         -0.086       0.045

12     black.widowed                                         0.094       0.050

13     black.divorced                                       -0.143**     0.025

14     black.separated                                       0.315**     0.031

15     black.never married                                   0.079**     0.021

     sex

16     female                                                0.311**     0.019

     black_v_others.sex

17     black.female                                         -0.005       0.019

     maritl.sex

18     married, spouse present.female                       -0.305**     0.021

19     married, spouse absent.female                        -0.288**     0.045

20     widowed.female                                        0.409**     0.050

21     divorced.female                                      -0.123**     0.025

22     separated.female                                     -0.015       0.031

23     never married.female                                 -0.290**     0.021

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.014       0.021

25     black.married, spouse absent.female                   0.114*      0.045

26     black.widowed.female                                 -0.025       0.050

27     black.divorced.female                                 0.059*      0.025

28     black.separated.female                                0.051       0.031

29     black.never married.female                            0.151**     0.021

30   _cons                                                   6.155**     0.019

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *Here, after using what I say is the better deviation coding, there doesn't a

> ppear to be as much of a black women marriage deficit, though they are more l

> ikely than black men to be never married.

. desmat: poisson count sex maritl race  black_v_others*maritl*sex=dev(1)*dev(5

> )*dev(1)

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                  56

   Initial log likelihood:                                         -122122.640

   Log likelihood:                                                    -335.420

   LR chi square:                                                   243574.440

   Model degrees of freedom:                                                29

   Pseudo R-squared:                                                     0.997

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     race

1      Amer Indian                                          -4.167**     0.033

2      Asian                                                -3.116**     0.020

     black_v_others

3      black                                                -0.887**     0.019

     maritl

4      married, spouse present                               2.371**     0.021

5      married, AF spouse present                           -2.565**     0.092

6      married, spouse absent                               -1.080**     0.045

7      widowed                                              -1.207**     0.050

8      separated                                            -0.293**     0.031

9      never married                                         1.874**     0.021

     black_v_others.maritl

10     black.married, spouse present                        -0.440**     0.021

11     black.married, AF spouse present                      0.181*      0.092

12     black.married, spouse absent                         -0.086       0.045

13     black.widowed                                         0.094       0.050

14     black.separated                                       0.315**     0.031

15     black.never married                                   0.079**     0.021

     sex

16     female                                                0.311**     0.019

     black_v_others.sex

17     black.female                                         -0.005       0.019

     maritl.sex

18     married, spouse present.female                       -0.305**     0.021

19     married, AF spouse present.female                     0.612**     0.092

20     married, spouse absent.female                        -0.288**     0.045

21     widowed.female                                        0.409**     0.050

22     separated.female                                     -0.015       0.031

23     never married.female                                 -0.290**     0.021

     black_v_others.maritl.sex

24     black.married, spouse present.female                 -0.014       0.021

25     black.married, AF spouse present.female              -0.336**     0.092

26     black.married, spouse absent.female                   0.114*      0.045

27     black.widowed.female                                 -0.025       0.050

28     black.separated.female                                0.051       0.031

29     black.never married.female                            0.151**     0.021

30   _cons                                                   6.155**     0.019

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *after changing the excluded category, using deviation coding here we have the same coefficients for the other stuff.

. *blacks remain much less likely to be married and more likely to be never married, the gender differences within the black community are not as strong.

. poisgof

 

         Goodness-of-fit chi2  =  298.9646

         Prob > chi2(26)       =    0.0000

 

. exit, clear