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Table 1 Variables used in the logistic regressions

From: What should we expect from Switzerland’s compulsory dental insurance reform?

Variable Name

Description

Note

Models

UNMET NEED

Dependent indicator variable = 1 if the household reported unmet needs for dental care.

The variable assumes value one if the respondent declares that he/she cannot Go to the dentist if needed.

1-4

INCOME

Yearly household equivalised net income (in thousands of CHF). SKOS equivalence scale has been used.

The SKOS scale attributes a weight of 1 to a 1-person household, 1.53 to a two-person household, 1.86 to a three-person household, 2.14 to a four-person household, 2.42 to a five-person household, 2.70 to a six-person household, 2.98 to a seven-person household and increases by 0.28 to each additional person.

1, 3, 4

REGIONAL DUMMIES

7 dummy variables, one for each Swiss region (Lake Geneva; Middleland; North-west Switzerland; Zurich; East Switzerland; Central Switzerland; Ticino).

The dummy variable relative to Lake Geneva has been omitted to avoid collinearity and therefore, Lake Geneva represents the reference region.

2, 3, 4

NC

Number of components in the household.

 

4

NOTURBAN

Dummy variable = 1 if the household is in a rural or not urban area.

Not urban areas include = Peripheral urban communes; Rural commuter communes, Mixed agricultural communes; Peripheral agricultural communes.

4

EDUCATION

Average number of years of education among family components aged 18 years or more.

 

4

UNEMPLOYED

Dummy variable = 1 if at least one member of the household is unemployed.

 

4

FOREIGN

Dummy variable = 1 if at least one member of the household has a foreign nationality.

 

4