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Table 6 Multinomial probit estimates of the effects of declining fertility and health information gap on c-section use (Base outcome: vaginal delivery; Comparison group: low socioeconomic status women; Treatment group: High socioeconomic status women; Main explanatory variable: log of lagged ob/gyns per 100 births × Information), 1996-2004a

From: Mind the information gap: fertility rate and use of cesarean delivery and tocolytic hospitalizations in Taiwan

 

C-section

C-section on maternal request

Variables

Coef.

Robust Std. Err.

Coef.

Robust Std. Err.

Log of lagged ob/gyns per 100 births

0.789**

0.35

0.591***

0.13

Log of lagged ob/gyns per 100 births × Informationb

0.133

0.291

-0.054

0.39

Informationb

-0.188

0.513

-1.746**

0.655

Log GFR

-0.207

0.231

-0.588**

0.089

Patients' characteristics

    

   Age

0.057***

0.001

0.055***

0.002

   Insurable wage (÷102)

-0.0004***

0.00005

-0.0005***

0.0001

   Previous c-section

6.750***

0.029

3.322***

0.091

   Fetal distress

5.467***

0.035

---c

---c

   Dystocia

6.528***

0.045

--- c

---c

   Breech

3.784***

0.086

---c

---c

   Other complications

4.529***

0.017

---c

---c

Hospitals' characteristics

    

   Private non-profit

-0.653***

0.061

0.139**

0.07

   Proprietary

0.087

0.074

1.041***

0.094

   Medical Center

0.332**

0.119

0.612***

0.137

   Regional Hospital

-0.275***

0.075

0.263**

0.099

   District Hospital

-0.088**

0.037

0.585***

0.047

   Teaching Hospital

0.084

0.065

0.003

0.074

   Bed size (÷102)

-0.030***

0.005

0.003

0.005

Ob/gyn characteristics

    

   Ob/gyn age

-0.001

0.005

-0.011*

0.006

   Ob/gyn gender

0.003

0.024

0.126***

0.034

Constant

-5.446***

0.19

-5.219***

0.262

Log likelihood

-4,160,195.98

  1. a The regression includes a full set of time and regional dummies and N = 1,815,660
  2. b Information is a dummy variable and information = 1 indicates medically-informed individuals.
  3. * Statistically significant at the 10% level.
  4. ** Statistically significant at the 5% level.
  5. *** Statistically significant at the 1% level.
  6. cCoefficients and standard errors were not estimated because CDMR by definition does not have medical complications.
  7. The marginal effect of the interaction term "Log of lagged ob/gyn per 100 births × Information" on the probability of having c-sections: Pr L O B B I R T H = - 0 . 2910312 , I = 0 - Pr L O B B I R T H = - 0 . 6134288 , I = 0 - Pr L O B B I R T H = - 0 . 2910312 , I = 1 - Pr L O B B I R T H = - 0 . 6134288 , I = 1 = 0 . 0003987
  8. Standard error for the marginal effect obtained by bootstrapping: 0.0006423
  9. The marginal effect of the interaction term "Log of lagged ob/gyn per 100 births × Information" on the probability of having CDMR: Pr L O B B I R T H = - 0 . 2910312 , I = 0 - Pr L O B B I R T H = - 0 . 6134288 , I = 0 - Pr L O B B I R T H = - 0 . 2910312 , I = 1 - Pr L O B B I R T H = - 0 . 6134288 , I = 1 = 0 . 0002126
  10. Standard error for the marginal effect obtained by bootstrapping: 0.0007081