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
- Log of per capita household income
- Our Classification
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-
- Remarks
- Question and ratings not reported
- Distribution
- Log p.c. household income: rural: M=7.68; urban: M=8.83; migrant: M=8.55
- Related specification variables
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-
- Operationalization
- Log of per capita household income
Observed Relation with Happiness
b's controlled for:
- basic variables:
- gender
- age and age squared
- marital status
- health
- conventional economic variables
- net wealth (1.000's yuan)
- working hours (100's per year)
b additonally controlled for:
- comparison variables
- 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
- degree of harmony among lineages
- degree of harmony in village
- agree that money is important
- importance of family
- importance of friends
b's additonally controlled for:
- comparison variables
- 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
- unemployed
- self-experienced important social problems
- enterprise profit/loss
- laid off work sometime 2002
b controlled for:
- basic variables:
- gender
- age and age squared
- marital status
- health
- conventional economic variables
- net wealth (1.000's yuan)
- 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 additionally controlled for:
- harshness of city life variables
- satisfaction with job
- discrimination
- easyness of finding jobs