Skip to main content

Table 6 Full information maximum likelihood estimates of the endogenous switching regression model for household health care financing

From: Equity in the public social healthcare protection in Tanzania: does it matter on household healthcare financing?

Variables

Model estimates

Selection equation

(1)

Rural

(2)

Urban

(3)

Sex

0.162***

(6.219)

0.070**

(2.902)

0.103*

(2.94)

Age

-0.210

(0.244)

0.190

(0.275)

0.1702

(0.242)

Household size

-0.009**

(2.755)

-0.032**

(3.278)

-0.059***

(5.031)

Marital status

0.126

(0.406)

0.035

(0.685)

0.056

(0.573)

Education

-0.468**

(2.674)

-0.366***

(6.672)

-0.427**

(4.383)

User fee

-0.127**

(2.571)

-0.321**

(3.043)

-0.451**

(5.003)

Out of pocket

-0.035

(1.06)

-0.001

(0.216)

0.018**

(2.015)

Household income

0.184***

(3.571)

0.053***

(3.063)

0.051***

(5.040)

Distance to health facility

0.175

(1.082)

0.146

(0.548)

0.316

(1.034)

Employment

0.059**

(2.532)

0.192**

(4.657)

0.317

(7.583)

Sickness

-0.129***

(4.268)

-0.481***

(7.842)

-0.106**

(1.998)

Household dependence ratio

-0.152***

(4.878)

-0.303**

(3.519)

-0.189***

(5.783)

Social health protection (Insurance)

0.223**

(3.672)

0.305***

(5.892)

0.389031***

(7.153)

Model diagnostics

   

Wald chi2(10)

174.16

  

Prob > chi2

0.0000

  

Log-likelihood

-6787.184

  

Number of observations

34,567

23,562

11,005

LR test

Chi 2(1) = 0.005

Prob > chi2 = 0.6329

 
  1. Absolute values of Z statistics in parenthesis
  2. *** p < 0.01, ** p < 0.05, * p < 0.1