Casual Contraception in Casual Sex
NSCCoitus2_Men

Sections in which this model is embedded

1. AllFigures_Coitus_NSC — All Figures, Coitus Only, When Hooking Up With a Partner Who Does Not Attend the Same College
2. AllFigures_NSC — All Figures, Coitus + Condom Use (same y-axis limits), When Hooking Up With a Partner Who Does Not Attend the Same College
3. AllSequentialProcessFigures — Additional Sequential Process Figures
4. AlternateSpecs — Supplement F: Intermediate Models
5. CompressedTables — Compressed Tables
6. MainAnalysis — Tables
7. SensitivityA — Results for Subsamples by whether the Partner Attends the Same College
8. SensitivityB — Sensitivity of the Demographic Trends to Age at Onset, Hookup Ordinality and Partner Count

Estimates Replay

gllamm had_vaginal_intercourse sophomore junior senior mom_SomeCollege mom_College mom_Graduate Black Hispanic Asian OtherRace mixed_race partner_black partner_hispanic partner_asian partner_mixed_race partner_race_other_none immigrant protestant catholic jewish other_religion rural small_town medium_city large_city  if female == 0  & partner_attends_same_college_r == 0, i(school) link(logit) family(bin)

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Model NSCCoitus2_Men
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number of level 1 units = 967
number of level 2 units = 21
 
Condition Number = 11.31938
 
gllamm model 
 
log likelihood = -650.14365
 
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had_vaginal_intercourse |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
              sophomore |   .2184925   .1768437     1.24   0.217    -.1281147    .5650997
                 junior |   .2373561   .1861429     1.28   0.202    -.1274773    .6021894
                 senior |   .8374519   .2000539     4.19   0.000     .4453534     1.22955
        mom_SomeCollege |   -.210993   .1984791    -1.06   0.288    -.6000049     .178019
            mom_College |    -.04914   .1952518    -0.25   0.801    -.4318265    .3335465
           mom_Graduate |  -.4833628   .2118221    -2.28   0.022    -.8985264   -.0681992
                  Black |  -.0131547   .3496855    -0.04   0.970    -.6985257    .6722164
               Hispanic |   .1573768   .2629483     0.60   0.550    -.3579924    .6727459
                  Asian |  -.2229379   .3046222    -0.73   0.464    -.8199863    .3741106
              OtherRace |    .270599   .3483413     0.78   0.437    -.4121374    .9533354
             mixed_race |  -.0051118   .2140083    -0.02   0.981    -.4245604    .4143368
          partner_black |   .2815651   .4489577     0.63   0.531    -.5983759    1.161506
       partner_hispanic |  -.3026457    .292464    -1.03   0.301    -.8758646    .2705732
          partner_asian |  -.4906895   .2943118    -1.67   0.095     -1.06753    .0861509
     partner_mixed_race |  -.1162829   .2538409    -0.46   0.647     -.613802    .3812361
partner_race_other_none |  -.3108882   .5053388    -0.62   0.538    -1.301334    .6795577
              immigrant |  -.0898475   .2389781    -0.38   0.707     -.558236     .378541
             protestant |   .0093944   .2262174     0.04   0.967    -.4339835    .4527723
               catholic |  -.0378325   .1901803    -0.20   0.842    -.4105791     .334914
                 jewish |   .0377974   .2868153     0.13   0.895    -.5243502     .599945
         other_religion |   .0368458   .2408753     0.15   0.878    -.4352611    .5089528
                  rural |   .3856387   .3174559     1.21   0.224    -.2365635    1.007841
             small_town |   .0177022   .1845529     0.10   0.924    -.3440148    .3794191
            medium_city |  -.1401598   .1759024    -0.80   0.426    -.4849221    .2046026
             large_city |  -.0750519   .2224728    -0.34   0.736    -.5110906    .3609867
                  _cons |  -.1551403   .2573968    -0.60   0.547    -.6596287    .3493481
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Variances and covariances of random effects
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***level 2 (school)
 
    var(1): 9.142e-19 (2.000e-10)
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Matrices