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Table 2 Wellbeing and depressive symptoms predicted by individual and contextual level factors (Page 8, Line 204)

From: Keeping up with the Wangs: individual and contextual influences on mental wellbeing and depressive symptoms in China

 

Happiness

Life Satisfaction

Depressive symptoms

 

Estimate

SE

Estimate

SE

Estimate

SE

Intercept

0.78

0.46

0.41

0.46

12.97

1.67

Years in Education

8.40E-03***a

1.64E-03

1.21E-03

1.69E-03

−0.04***a

6.04E-03

Employment status

−6.75E-04

0.01

− 1.26E-04

0.01

0.03

0.05

Relationship status dummy set

  Single

−0.25***a

0.03

− 0.14***a

0.03

0.74***a

0.10

  Cohabitation

−0.25*

0.12

−0.10

0.13

1.03*

0.46

  Divorced

−0.59***a

0.05

−0.48***a

0.05

0.93***a

0.18

  Widowed

−0.29***a

0.03

−0.19***a

0.03

1.05***a

0.10

County average education

0.02

0.03

3.78E-03

0.03

−0.09

0.10

County unemployment rate

0.17

0.25

−0.31

0.26

0.25

0.93

County marriage rate

0.02***a

4.24E-03

0.01**a

4.32E-03

−2.58E-02

1.55E-02

Age

−0.04***

2.48E-03

−0.02***

2.55E-03

0.01

9.15E-03

Age squared

4.49E-04***

2.47E-05

3.45E-04***

2.54E-05

−2.60E-04**

9.13E-05

Female

0.10***

0.01

0.10***

0.01

0.28***

0.04

Non Han

0.03

0.03

7.79E-03

0.03

−0.24*

0.12

Urban

0.02

0.02

−0.10***

0.02

4.04E-03

0.07

Health

−0.16***

5.95E-03

−0.15***

6.14E-03

1.27***

0.02

Log income per capita

0.11***

7.92E-03

0.14***

8.07E-03

−0.29***

0.03

Log asset per capita

0.18***

0.03

0.23***

0.03

−0.34***

0.10

Log county GDP per capita

0.05

0.03

−0.02

0.03

−0.22

0.12

Log county asset per capita

−0.11**

0.04

−0.09*

0.04

0.03

0.13

Observations

26,682

 

27,196

 

26,981

 

Nfamilies

12,501

 

12,521

 

12,470

 

Ncounties

158

 

158

 

158

 

AIC

72,305.24

 

75,537.70

 

143,689.74

 
  1. Note. Multilevel model with individual and contextual education, employment status and relationship status predicting happiness, life satisfaction and depressive symptoms. Employment status was coded as 0 for being employed and 1 for being unemployed. Relationship status was added into the model as a set of dummy variables. The relationship dummy set’s reference state was being married. p-values were adjusted using the Benhamini-Hochberg False Discovery Rate Procedure to control for multiple testing of the effects of interest, thus we only indicate FDR significance for our predictors of interest – individual and contextual level of education, employment and marriage
  2. *p < 0.05, **p < 0.01, ***p < 0.001, aFDR