Study Knight & Gunatilaka (2011): study CN 2002
- Public
- Adults, China, 2002
- Survey name
- CN-CHIP 2002
- Sample
- Respondents
- N = 8872
- Non Response
- Assessment
- Interview: face-to-face
Correlate
- Authors's Label
- Net wealth ('000 yuan)
- Our Classification
-
-
- Remarks
- Question en ratings not reported
- Distribution
- Net wealth in '000 yuan: rural: M=37.68; urban: M=45.99; migrant: M= 16.51
- Related specification variables
-
-
- Operationalization
- Net wealth in thousands yuan
Observed Relation with Happiness
b's controlled for:
- basic variables:
- gender
- age and age squared
- marital status
- health
- conventional economic variables
- household income p.c. (log)
- working hours (100's per year)
b's not affected by additional controlling for:
- comparison variables (urban)
- fairness income distribution (in China, resp. city)
- living standard (quartiles)
- expected increase/decrease income next 5 years
- mean provincial income p.c. (log)
- insecurity variables (urban)
- unemployed
- self-experienced important social problems
- enterprise profit/loss
- laid off work sometime 2002
- comparison variables (rural)
- household income compared to village average
- living standards compared to 5 years ago
- expected income over next 5 years
- gini of household income p.c. at county level
- attitudinal variables (rural)
- degree of harmony among lineages
- degree of harmony in village
- agree that money is important
- importance of family
- importance of friends
b controlled for:
- basic variables:
- gender
- age and age squared
- marital status
- health
- conventional economic variables
- log of p.c. household income
- working hours (100's per year)
- comparison variables
- expect big income increase next 5 years
- expect small income increase next 5 years
- expect income decrease next 5 years
- log average p.c.urban income in city of residence
- harshness of city life variables
- living with family members
- number of relatives and friends in city
- child still in village
- no heating
b not significantly affected by additional controlling for:
- harshness of city life variables
- satisfaction with job
- discrimination
- easyness of finding jobs