Casual Contraception in Casual Sex
Condom1_Women

Specification
Model Name:Condom1_Women
Title:Women
Description:P(Condom | grade) Among Women
Method:logit
Sample:Condom
Dependent Variable:condom
Independent Variables:sophomore + junior + senior
Subset:if female == 1 & condom >= 0
Time & Date Computed:09:09:14, 9 Jul 2014

Sections in which this model is embedded

  1. CompressedTables — Compressed Tables
  2. MainAnalysis — Tables

Estimates Replay

logit condom sophomore junior senior  if female == 1 & condom >= 0 , 

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Model Condom1_Women
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Logistic regression                               Number of obs   =       2582
                                                  LR chi2(3)      =      18.56
                                                  Prob > chi2     =     0.0003
Log likelihood = -1628.8351                       Pseudo R2       =     0.0057

------------------------------------------------------------------------------
      condom |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   sophomore |  -.3639837   .1193213    -3.05   0.002    -.5978491   -.1301182
      junior |  -.3244292   .1182821    -2.74   0.006    -.5562578   -.0926007
      senior |    -.46728   .1157495    -4.04   0.000    -.6941448   -.2404153
       _cons |   .9856719   .0816453    12.07   0.000     .8256499    1.145694
------------------------------------------------------------------------------
Scalars
r2_p .0056644801615943
N_cds 0
N_cdf 0
p .0003373731816475
chi2 18.55813029647379
df_m 3
ll_0 -1638.114157614998
k_eq_model 1
ll -1628.835092466761
k_autoCns 0
rc 0
converged 1
k_dv 1
k_eq 1
k 4
ic 3
N 2582
rank 4
Macros
_estimates_name Condom1_Women
cmd logit
cmdline logit condom sophomore junior senior if female == 1 & condom >= 0 ,
estat_cmd logit_estat
predict logit_p
marginsnotok stdp DBeta DEviance DX2 DDeviance Hat Number Residuals RStandard SCore
title Logistic regression
chi2type LR
opt moptimize
vce oim
user mopt__logit_d2()
crittype log likelihood
ml_method d2
singularHmethod m-marquardt
technique nr
which max
depvar condom
properties b V

Matrices

e(b), transpose
y1
condom sophomore -.36398366
condom junior -.324429243
condom senior -.467280013
condom _cons .985671877
e(V)
condom condom condom condom
sophomore junior senior _cons
condom sophomore .014237574 .006665963 .006665963 -.006665963
condom junior .006665963 .013990647 .006665963 -.006665963
condom senior .006665963 .006665963 .013397935 -.006665963
condom _cons -.006665963 -.006665963 -.006665963 .006665963
e(mns), transpose
r1
sophomore .225019365
junior .235476375
senior .245933385
_cons 1
e(rules), transpose
r1
c1 0
c2 0
c3 0
c4 0
e(ilog), transpose
r1
c1 -1638.11416
c2 -1628.85282
c3 -1628.83509
c4 -1628.83509
c5 0
c6 0
c7 0
c8 0
c9 0
c10 0
c11 0
c12 0
c13 0
c14 0
c15 0
c16 0
c17 0
c18 0
c19 0
c20 0
e(gradient), transpose
r1
condom sophomore 8.8507e-13
condom junior -4.4298e-14
condom senior 2.9602e-10
condom _cons 7.2508e-08