Table 3 Digital Economy and Gig Gender Wage Gap: BFG Model.

From: The widening gender wage gap in the gig economy in China: the impact of digitalisation

Dependent variable: ln(monthly wages)

Gig

Traditional

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Gender

−0.404***

(0.0247)

−0.408***

(0.0241)

−0.221**

(0.0934)

−0.217***

(0.0807)

−0.389***

(0.0338)

−0.391***

(0.0333)

−0.380***

(0.135)

−0.285**

(0.116)

DEI

 

0.132***

(0.0308)

0.167***

(0.0350)

0.190***

(0.0477)

 

0.234***

(0.0397)

0.236***

(0.0454)

0.171***

(0.0572)

DEI ∙ Gender

  

−0.068**

(0.0360)

−0.070**

(0.0298)

  

−0.004

(0.0492)

−0.030

(0.0410)

Experience

   

0.022***

(0.00430)

   

0.023***

(0.00557)

Exp²/100

   

−0.054***

(0.00852)

   

−0.070***

(0.0106)

Education level

   

0.028***

(0.00428)

   

0.050***

(0.00655)

Health condition

   

0.092***

(0.0293)

   

0.128***

(0.0351)

Social security score

   

0.084***

(0.00874)

   

0.078***

(0.0100)

Industry upgrade index

   

0.180***

(0.0275)

   

0.040

(0.0263)

Labour dispute success rate

   

0.654***

(0.189)

   

0.151

(0.200)

Time Effects

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Regional dummies

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

_m2

0.594***

(0.0544)

0.597***

(0.0546)

0.595***

(0.0600)

0.142***

(0.0547)

1.952***

(0.130)

1.936***

(0.126)

1.936***

(0.131)

0.674***

(0.119)

Constant

8.541***

(0.0820)

8.263***

(0.104)

8.164***

(0.130)

6.411***

(0.240)

10.180***

(0.168)

9.667***

(0.187)

9.662***

(0.204)

7.421***

(0.316)

Anciliary

 

σ2

1.508***

(0.182)

1.517***

(0.183)

1.508***

(0.195)

0.536***

(0.0529)

10.290***

(1.259)

10.130***

(1.202)

10.130***

(1.262)

2.097***

(0.423)

ρ2

0.483***

(0.0165)

0.485***

(0.0165)

0.485***

(0.0187)

0.194***

(0.0668)

0.609***

(0.00609)

0.608***

(0.00589)

0.608***

(0.00582)

0.465***

(0.0393)

Observations

3,655

3,655

3,655

3,655

4,263

4,263

4,263

4,263

  1. *p < 0.1, **p < 0.05, ***p < 0.01.
  2. aStandard errors are in parentheses. Standard error in parentheses.
  3. bThe provincial dummies are controlled in the above four models.
  4. cData were collected from China Labour-force Dynamic Survey (2014, 2016, 2018).
Back to article page