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Table 2 Relationship between long working hours and individual health level

From: Impact of long working hours on health based on observations in China

 

OPROBIT

ERM

CMP

Long working hours

−0.0519*

− 0.0729*

− 0.0681**

 

(0.090)

(0.050)

(0.047)

Gender

0.150***

0.151***

0.139***

 

(0.000)

(0.000)

(0.000)

Age

−0.0275***

−0.0274***

− 0.0254***

 

(0.000)

(0.000)

(0.000)

Income

0.00772**

0.00764**

0.00718**

 

(0.035)

(0.045)

(0.039)

Level of education

−0.0182

−0.0180

−0.0163

 

(0.334)

(0.324)

(0.334)

Marital status

0.0519

0.0516

0.0481

 

(0.182)

(0.176)

(0.169)

Smoking

−0.138**

−0.138**

−0.129**

 

(0.043)

(0.039)

(0.035)

Drinking

0.133**

0.132**

0.123**

 

(0.022)

(0.026)

(0.024)

Exercise

0.0264***

0.0263***

0.0246***

 

(0.000)

(0.000)

(0.000)

Medical insurance

−0.0662

−0.0297

−0.0276

 

(0.168)

(0.607)

(0.606)

Year

YES

YES

YES

Province

YES

YES

YES

sigma2_u

0.168

  

_cons

(0.310)

  

n

 

0.834***

0.834***

  

(0.000)

(0.000)

_cons

 

0.106***

 
  

(0.000)

 

Log likelihood

  

−10,170.721

Wald

 

135.97***

 

Observations

6972

6972

6972

  1. Notes: p value in parentheses; * p < 0.1, ** p < 0.05 and *** p < 0.01.