Table 4 Control sample variance.

From: How does digital transformation relieve the employment pressure in China? Empirical evidence from the national smart city pilot policy

 

ln(city_labor)

ln(labor)

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

SCP × Post

0.0734*** (0.0123)

0.0692*** (0.0125)

0.0759*** (0.0124)

0.0689*** (0.0120)

0.1535*** (0.0183)

0.1600*** (0.0180)

0.1697*** (0.0180)

0.1394*** (0.0184)

Hu Line × Trend

0.0015 (0.0017)

  

0.0027* (0.0016)

0.0163*** (0.0049)

  

0.0180*** (0.0049)

PC × Trend

 

0.0074*** (0.0019)

 

0.0078*** (0.0019)

 

0.0100*** (0.0022)

 

0.0132*** (0.0022)

SEZ × Trend

  

0.0094 (0.0079)

0.0094 (0.0080)

  

0.0155*** (0.0039)

0.0148*** (0.0023)

Constant

−5.1365*** (0.9014)

−5.0756*** (0.8951)

−4.9828*** (0.9027)

−4.8942*** (0.9001)

7.5507*** (0.0092)

7.5224*** (0.0097)

7.5096*** (0.0100)

7.3365*** (0.0360)

Control variable

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Regional fixed effect

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Individual fixed effect

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Observations

4828

4828

4828

4828

28707

28707

28707

28707

R-squared

0.9735

0.9737

0.9736

0.9738

0.8246

0.8247

0.8247

0.8252

  1. * and *** denote p < 0.10 & 0.01, and robust standard error is shown in brackets.
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