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Table 2 Benchmark regression results of income’s impact on BMI

From: Does income have a non-linear impact on residents’ BMI? Re-examining the obesity Kuznets curve

Ìý

(1)

(2)

(3)

(4)

(5)

(6)

BMI

BMI

BMI

BMI

BMI

BMI

OLS

OLS

OLS

2SLS

2SLS

2SLS

Income

0.262***

0.150***

0.154***

2.168***

2.612***

1.514***

(0.019)

(0.020)

(0.020)

(0.214)

(0.198)

(0.279)

Income_sq

-0.016***

-0.009***

-0.009***

-0.262***

-0.307***

-0.162***

(0.002)

(0.002)

(0.002)

(0.034)

(0.039)

(0.036)

Gender

Ìý

0.775***

0.871***

Ìý

0.917***

0.936***

Ìý

(0.047)

(0.046)

Ìý

(0.053)

(0.051)

Age

Ìý

0.247***

0.265***

Ìý

0.236***

0.256***

Ìý

(0.010)

(0.010)

Ìý

(0.012)

(0.011)

Age_sq

Ìý

-0.003***

-0.003***

Ìý

-0.003***

-0.003***

Ìý

(0.000)

(0.000)

Ìý

(0.000)

(0.000)

Ethnicity

Ìý

0.293***

0.151***

Ìý

0.160***

0.111**

Ìý

(0.065)

(0.069)

Ìý

(0.079)

(0.073)

Residence

Ìý

0.325***

0.339***

Ìý

0.137***

0.251***

Ìý

(0.045)

(0.043)

Ìý

(0.059)

(0.059)

Education level

ÌýÌýÌýÌýÌýÌý

1 = primary school

Ìý

0.127***

-0.040

Ìý

-0.146***

-0.185***

Ìý

(0.058)

(0.056)

Ìý

(0.069)

(0.071)

2 = junior high/middle school

Ìý

0.128***

-0.141***

Ìý

-0.283***

-0.367***

Ìý

(0.056)

(0.055)

Ìý

(0.075)

(0.091)

3 = high school

Ìý

0.019

-0.220***

Ìý

-0.609***

-0.572***

Ìý

(0.068)

(0.067)

Ìý

(0.102)

(0.134)

4 = college and above

Ìý

-0.117**

-0.412***

Ìý

-0.808***

-0.834***

Ìý

(0.083)

(0.082)

Ìý

(0.133)

(0.202)

Married

Ìý

0.639***

0.561***

Ìý

0.556***

0.502***

Ìý

(0.056)

(0.055)

Ìý

(0.068)

(0.060)

Occupation

ÌýÌýÌýÌýÌýÌý

1 = government officials, representatives of groups such as the Communist Party and the masses, enterprise and public institution managers

Ìý

0.479***

0.351***

Ìý

0.284*

0.254*

Ìý

(0.100)

(0.099)

Ìý

(0.181)

(0.162)

2 = professional technicians

Ìý

-0.431***

-0.569***

Ìý

-0.907***

-0.808***

Ìý

(0.077)

(0.076)

Ìý

(0.118)

(0.129)

3 = clerical and related personnel

Ìý

0.113*

0.010

Ìý

-0.536***

-0.289***

Ìý

(0.079)

(0.079)

Ìý

(0.123)

(0.127)

4 = commercial and service industry personnel

Ìý

0.021

-0.134***

Ìý

-0.463***

-0.338***

Ìý

(0.051)

(0.052)

Ìý

(0.079)

(0.083)

5 = farmers, foresters, animal breeders, fishermen, and people engaged in water conservancy

Ìý

-0.236***

-0.349***

Ìý

-0.116***

-0.258***

Ìý

(0.045)

(0.046)

Ìý

(0.053)

(0.056)

6 = operators and related personnel of production and transportation equipment

Ìý

-0.023

-0.191***

Ìý

-0.640***

-0.455***

Ìý

(0.048)

(0.050)

Ìý

(0.083)

(0.088)

7 =″¾¾±±ô¾±³Ù²¹°ù²â

Ìý

-0.351

-0.749

Ìý

-1.198

-1.267

Ìý

(0.695)

(0.659)

Ìý

(0.812)

(0.853)

8 = other groups that are difficult to classify

Ìý

-0.081

-0.347***

Ìý

-0.270*

-0.395***

Ìý

(0.112)

(0.114)

Ìý

(0.158)

(0.128)

9 = self-employed entrepreneurs

Ìý

0.472***

0.371***

Ìý

0.185

0.256**

Ìý

(0.105)

(0.103)

Ìý

(0.164)

(0.135)

Smoker

Ìý

-0.461***

-0.465***

Ìý

-0.425***

-0.452***

Ìý

(0.048)

(0.047)

Ìý

(0.056)

(0.049)

Wine

Ìý

0.057*

0.031

Ìý

-0.034

-0.013

Ìý

(0.045)

(0.044)

Ìý

(0.055)

(0.049)

SRH

Ìý

-0.070***

-0.018*

Ìý

-0.041***

0.003

Ìý

(0.014)

(0.013)

Ìý

(0.016)

(0.017)

Retired

Ìý

0.310***

0.270***

Ìý

-0.113

0.039

Ìý

(0.064)

(0.064)

Ìý

(0.089)

(0.105)

Familysize

Ìý

-0.239***

-0.037

Ìý

0.128*

0.209*

Ìý

(0.045)

(0.043)

Ìý

(0.072)

(0.118)

Year FE

No

No

Yes

No

No

Yes

Provincial FE

No

No

Yes

No

No

Yes

Constant

22.710***

16.975***

16.418***

21.002***

14.952***

14.905***

(0.032)

(0.223)

(0.232)

(0.168)

(0.317)

(0.629)

Observations

82,694

82,113

82,113

82,694

82,113

82,113

R2

0.005

0.056

0.094

-

-

-

Adjusted R2

0.005

0.056

0.094

-

-

-

Anderson LM/P value

ÌýÌýÌý

63.763/0

66.400/0

76.129/0

Cragg-Donald F statistic/critical value at 10% bias

ÌýÌýÌý

204.545/7.03

180.576/7.03

123.850/7.03

  1. Note: The results in columns (1)–(3) are based on OLS estimation, whereas those in columns (4)–(6) are based on 2SLS estimation. Standard errors are clustered at the household level. ***, **, and * indicate significance at the 1%, 5%, and 10% levels, respectively. R2 has no significance under the IV method; therefore, it was not yet been reported 1
  2. For detailed information, please refer to