print

Correlational findings

Study Tani et al. (2020): study AU 2001

Public
Elderly, Australia, 2001
Survey name
AU-HILDA combined waves
Sample
Respondents
N = 5881
Non Response
Assessment
Interview: face-to-face

Correlate

Authors's Label
Physical health
Our Classification
Related specification variables
Operationalization
HILDA asks specific questions measuring both physical and mental health. The HILDA survey then  aggregates the responses from these questions using the Medical Outcomes Study Short Form (SF-36) and provides both a general health measure and a mental health measure on a scale  between 0 and 100.

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-u-sq-n-11-d Beta = +.01 p < .001 ALL

Betas controlled for:
- Age
- Age squared
- Sexe: male
- Married
- Education
- Mental health
- Ln income
- Household size
- Has children
- Ethnic concentration
- Social network
O-SLW-u-sq-n-11-d Beta = +.01 p < .001 Betas additionally controlled for country of origin O-SLW-u-sq-n-11-d Beta = +.01 p < .001 NATIVES Only

Beta ontrolled for:
- Age
- Age squared
- Gender: male
- Married
- Education
- Mental health
- Ln income
- Household size
- Has children
- Social network
O-SLW-u-sq-n-11-d Beta = +.01 p < .001 MIGRANTS Only

Beta controlled for:
- Age
- Age squared
- Gender: male
- Married
- Education
- Mental health
- Ln income
- Household size
- Has children
- Social network
O-SLW-u-sq-n-11-d Beta = +.01 p < .001 FEMALES Only

Beta controlled for:
- Age
- Age squared
- Married
- Education
- Mental health
- Ln income
- Household size
- Has children
- Social network
- Germany
- Netherlands
- Italy
- Vietnam
- Philippines
- China
- India
- English speaking countries
O-SLW-u-sq-n-11-d Beta = +.01 p < .001 MALES Only

Beta controlled for:
- Age
- Age squared
- Married
- Education
- Mental health
- Ln income
- Household size
- Has children
- Social network
- Germany
- Netherlands
- Italy
- Vietnam
- Philippines
- China
- India
- English speaking countries