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Table 7 Results of estimates by differentiating between public and private insurance

From: Effect of health shocks on the absenteeism magnitude at work in Togo: is health insurance a mitigating factor?

 

Private Insurance

Public Insurance

Occurrence of shock

2.869***

3.493***

HH health coverage

.5524*

.8881**

Type of HH

 Feminine

.1083**

.0934

Household size

-.043***

-.049***

Place of residence

 Rural

-.101

-.127

Region

 Trays

-.055

-.045

 Central

-.069

-.072

 Kara

-.101

-.125

 Savannahs

.0193

.0418

 Lomé commune

.0798

.1102

Quartile of expenditure

 2e quartile

.0063

-.003

 3e quartile

.0268

.0128

 4e quartile

.1026

.0931

HH Professional Category

 worker/laborer

.0006

.0388

 own account

.0214

.0288

HH level of education

 Primary

-.003

-.007

 Secondaire1

-.049

-.054

 Secondaire2

.0419

.0766

 Upper

.2334*

.2636

Type of care

 Public care

.3100***

.2808***

 Private care

.2378***

.2142**

Number of children under 5

-.035

-.035

Interactive variable created with health Shocks and assurance interaction

-2.55**

-3.41***

_cons

-.388

-.528

  1. The standard deviations of the coefficient estimators are in parentheses
  2. ***indicates significance at 1%, ** indicates significance at 5%, and * indicates significance at 10%
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Health Economics Review

ISSN: 2191-1991

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