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Correlational findings

Study Knight et al. (2009): study CN 2002

Public:
Adult general public, rural areas, China, 2002
Survey name:
CN-National Household Survey China
Sample:
Respondents:
N = 9200
Non Response:
Assessment:
Interview: face-to-face

Correlate

Authors's label
Net wealth ('000 Yuan)
Our Classification
Operationalization
Net wealth = financial assets
                      + productive assets
                      + consumer durables
                      - debts

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-HL-g-sq-v-5-e b = +.00 p < .000 b (+0.001785) controled for:
basic variables
- age
- gender
- marital status
- ethinic minority dummy
- education (in years)
- self-reported health status
- hh-income
- working hours
- employment status

b uneffected by additional control for:
- province (dummies)
O-HL-g-sq-v-5-e b = +.00 p < .000 b (+0.000507) additionally controled for:
- comparison variables
- community variables
- attitudinal variables'.

b uneffected by additional control for:
- province (dummies)

Similar results when:
- happiness variable is treated as ordinal (ordered probit estimation)
- if the sample is devided into the lowest, middle and highest household and province income terciles, respectively, with net wealth being most important for people in the lowest income terciles.
O-HL-g-sq-v-5-e OPRC = +.00 p < .05 OPRC = +0.000599 (marginal effect)
Sample contains the very happy and the happy people
O-HL-g-sq-v-5-e OPRC = -.00 p < .05 OPRC = -0.000140 (marginal effect)
Sample contains the very unhappy and the unhappy people

OPRC controled for:
- basic variables (as above)
- comparison variables
- community variables
- attitudinal variables
O-HL-g-sq-v-5-e b-iv = -.00 p < .05 b-iv (-0.004034) when instrumented for income

b-iv controled for:
- basic variables (as above)
- comparison variables
- community variables
- attitudinal variables