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Table 2 Zero-inflated negative binomial model

From: The abolition of user charges and the demand for ambulatory visits: evidence from the Czech Republic

  Number of obs = 1841
  Non-zero obs = 1176
  Zero obs = 665
  LR χ 2(6) = 79.38
  Prob >χ 2 = 0.0000
  Visits Coef.
Count process = neg. binomial   
  reform 0.010
  dummy_child –0.242
  interaction –0.497
  female 0.190***
  members –0.132***
  log_income_memb –0.337***
  _cons 5.840***
Inflation model = logit   
  reform 1.232***
  dummy_child 4.377***
  interaction –0.588
  female –1.233***
  members 0.502***
  log_income_memb 0.261
  _cons –6.292***
  ln α –0.451
  α 0.637
  1. Likelihood-ratio test of α = 0: \(\bar {\chi }^{2}\)(01) = 1393.26 Pr\(\geq \bar {\chi }^{2}\) = 0.0000
  2. Vuong test of zinb vs. standard negative binomial: z = 6.91 Pr >z = 0.0000
  3. Notes: * p<=0.1, ** p<=0.05, *** p<=0.01
  4. In order to interpret coefficients of the log–linear model, exponentiating is necessary; exp(coeff)