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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: J Labor Econ. 2017;35(1):18977. doi: 10.3386/w18977

Table 1.

Logistic Regression Model of C-Section Risk (ρ): All Doctors

Coefficient SE Marginal Effect
Age < 20 −.337 .013 −.075
Age ≥ 25 and < 30 .262 .008 .058
Age ≥ 30 and < 35 .434 .008 .096
Age ≥ 35 .739 .009 .164
2nd birth −1.347 .007 −.298
3rd birth −1.645 .009 −.364
4th or higher birth −2.140 .012 −.474
Previous C-section 3.660 .008 .810
Previous large infant .139 .029 .031
Previous preterm −.293 .025 −.065
Multiple birth 2.879 .014 .638
Breech 3.353 .016 .742
Placenta previa 3.811 .054 .844
Abruptio placenta 2.048 .030 .454
Cord prolapse 1.761 .047 .390
Uterine bleeding .026 .035 .006
Eclampsia 1.486 .096 .329
Chronic hypertension .745 .025 .165
Pregnancy hypertension .639 .013 .142
Chronic lung condition .064 .014 .014
Cardiac condition −.121 .020 −.027
Diabetes .558 .011 .124
Anemia .131 .018 .029
Hemoglobinopathy .116 .047 .026
Herpes .461 .024 .102
Other STD .052 .017 .012
Hydramnios .616 .018 .136
Incompetent cervix .043 .035 .010
Renal disease −.024 .031 −.005
Rh sensitivity −.045 .040 −.010
Other risk factor .276 .006 .061
Constant −1.414 .007 −.313
Pseudo R2 .32

Note.—Number of observations = 1,169,654.