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Table 3 Probit model for the use of tocolytic hospitalizations

From: Factors associated with tocolytic hospitalizations in Taiwan: evidence from a population-based and longitudinal study from 1997 to 2004

Variables Probit model Marginal effect
Constant term -3.028 (0.423)** -2.326 (0.074)**
Individual factors   
   Age 0.026 (0.001)** -0.010 (0.0002)**
   Wage 0.004 (0.0001)** 0.001 (0.0001)**
   Having a major disease card 0.015 (0.018) 0.061 (0.065)
   Having pregnancy-associated hospitalizations before 0.428 (0.006)** 0.665 (0.018)**
   Previous year's inpatient expenses 0.001 (0.0002)** 0.027 (0.001)**
Institutional factors   
   Bed size 0.004 (0.001)** 0.007 (0.001)**
   Ownership   
Public 0.059 (0.010)** -0.020 (0.004)**
Private non-profit -0.102 (0.010)** -0.042 (0.004)**
Proprietary (Reference)   
   Accreditation status   
Medical center 0.392 (0.021)** 0.013 (0.007)**
Regional hospital 0.102 (0.017)** 0.021 (0.006)**
District hospital 0.113 (0.013)** 0.015 (0.005)**
Clinic (Reference)   
   Teaching status   
Teaching 0.128 (0.011)** 0.050 (0.004)**
Non-teaching (Reference)   
Physician factors   
   Male gender -0.012 (0.010) -0.004 (0.002)
   Age 0.003 (0.0005)** 0.019 (0.001)**
Area factor   
   Logged regional fertility rate -0.539 (0.112)** -0.221 (0.042)**
Observations 1,979,311 1,979,311
Log-likelihood -148,762.7  
  1. Robust standard errors are in parentheses. The three models also include a full set of time and regional dummies. *Statistically significant at the 10% level. **Statistically significant at the 5% level.