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Table 3 Zero-inflated negative binomial model: robustness checks

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

(1)

(2)

(3)

(4)

(5)

(6)

Control group

 

Adults aged 18 to 26

Childless adults

Adults without the elderly

Employed adults up to 65 years

  

Number of obs = 494

Number of obs = 1243

Number of obs = 1471

Number of obs = 1117

  

Non-zero obs = 130

Non-zero obs = 735

Non-zero obs = 837

Non-zero obs = 579

  

Zero obs = 364

Zero obs = 508

Zero obs = 634

Zero obs = 538

  

LR χ 2(6) = 3.60

LR χ 2(6) = 103.38

LR χ 2(6) = 38.56

LR χ 2(6) = 20.64

  

Prob >χ 2 = 0.7301

Prob >χ 2 = 0.0000

Prob >χ 2 = 0.0000

Prob >χ 2 = 0.0021

Count process

     
 

reform

–0.249

–0.015

0.034

0.109

 

dummy_child

0.172

–0.023

–0.072

0.133

 

interaction

-0.659

–0.246

–0.583

–0.851

 

female

–0.116

0.144**

0.368***

0.355***

 

members

–0.029

–0.265***

–0.059*

0.016

 

log_income_memb

–0.158

–0.461***

–0.202***

–0.003

 

_cons

3.142

7.608***

3.675***

0.872

Logit

     
 

reform

0.725

0.807***

1.617***

1.605***

 

dummy_child

3.284***

3.415***

4.765***

5.042***

 

interaction

–0.233

–0.106

–0.988

–1.020

 

female

–0.967***

–0.881***

–1.334***

–1.462***

 

members

0.414**

0.660***

0.471***

0.333**

 

log_income_memb

0.299

0.246

0.115

0.122

 

_cons

–5.532

–5.895**

–4.809

–4.567

 

ln α

–0.443

–0.757

–0.219

–0.242

 

α

0.642

0.469

0.804

0.785

  1. Notes: * p<=0.1, ** p<=0.05, *** p<=0.01
  2. In order to interpret coefficients of the log–linear model, exponentiating is necessary; exp(coeff)