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Correlational findings

Study Wang et al. (2015): study CN 2010

Public:
18+ aged, general public, China, 2010-2012
Survey name:
CN-CFPS 2010 + 2012
Sample:
Respondents:
N = 61009
Non Response:
Assessment:
Interview: face-to-face
Assessment in 2 waves: 2010 and 2012

Correlate

Authors's label
Consumption-income ratio
Our Classification
Operationalization
Consumption-income ratio:
Ratio of consumption with local income level per capita in terciles:
1 Lowest
2 Medium
3 Highest

A Community level
B County level

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLu-u-sq-v-5-j Beta = -.00 p < .01 CONSUMPTION RELATIVE TO COMMUNITY:
Lowest income tercile
O-SLu-u-sq-v-5-j Beta = -.00 Medium income tercile O-SLu-u-sq-v-5-j Beta = +.03 ns Highest income tercile O-SLu-u-sq-v-5-j Beta = -.00 ns CONSUMPTION RELATIVE TO COUNTY:
Lowest income tercile
O-SLu-u-sq-v-5-j Beta = -.01 ns Medium income tercile O-SLu-u-sq-v-5-j Beta = +.01 ns Highest income tercile

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years)
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or suburb)
  - time to get to nearest business center
  - region (east, west or central)