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Table 6 Analysis of the determinants of households benefiting or not from safety nets

From: Evaluation of the impact of social safety net program on health care utilization in Togo

 

Equation

Regime 1

Regime 2

Endogenous switching regression

 

Beneficiary households to BSF

Non-beneficiary households to BSF

VARIABLES

Social nets

Use of health care services

Use of health care services

Age

0.0200

0.021

−0.0270***

 

(0.016)

(0.016)

(0.0068)

Age2

−0.0002

−0.0002

0.0003***

 

(0.0001)

(0.0001)

(0.00006)

Female

0.0270

0.028

0.2696***

 

(0.0947)

(0.0947)

(0.0420)

Urban

−0.172

−0.115

−0.1091**

 

(0.11)

(0.071)

(0.0538)

Maritime region

0.8451***

0.229***

0.115

 

(0.156)

(0.139)

(0.0924)

Plateaux region

0.7028***

0.194***

0.1633**

 

(0.1662)

(0.1328)

(0.0834)

Central region

0.6137***

0.0972***

0.0975

 

(0.168)

(0.1295)

(0.0839)

Kara region

0.5437***

0.2233***

0.0716

 

(0.156)

(0.1235)

(0.0745)

Savannahs region

0.6903***

0.1638

−0.0204

 

(0.1728)

(0.1387)

(0.0871)

Agriculture

0.7236*

0.1933

−0.0452

 

(0.4271)

(0.344)

(0.1443)

Agriculture + Livestock

−0.7999*

−0.3032

0.0227

 

(0.343)

(0.343)

(0.144)

Education

Primary

−0.0422

0.1715***

0.2174***

 

(0.0999)

(−0.0381)

(−0.0254)

Secondary

−0.251**

  
 

(0.1030)

  

Distance

−0.307***

  

Health problem

(0.0877)

  
 

−0.2721*

  

Disability

−0.0651

  
 

(0.1286)

  

Health problems

−0.2504***

  
 

(−0.0609)

  

Constants

−1.33***

−0.0741

1.125***

 

(0.4244)

(0.359)

(0.1541)

\(\hat{\sigma}_{\varepsilon i}\)

 

−0.5721***

−0.7062***

  

(−0,0292)

(0.0753)

\(\hat{\rho}_{j}\)

 

0.897***

0.5525*

  

(0.3119)

(0.316)

  1. Standard deviations in brackets
  2. *** p < 0.01
  3. ** p < 0.05
  4. * p < 0.1