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Table 5 Regressions of applicants’ current log wages on NLH

From: Do employers prefer migrant workers? Evidence from a Chinese job board

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

A. By Job’s Required Education Level:

NLH * Low Education

−0.0493***

0.0505***

0.0593***

0.0558***

0.0564***

0.0433***

0.0427***

 (6 – 12 years)

(0.0096)

(0.0051)

(0.0050)

(0.0050)

(0.0050)

(0.0045)

(0.0045)

NLH * High Education

0.0455***

−0.0139***

−0.0080*

−0.0068

−0.0063

−0.0066

−0.0060

 (15 or 16 years)

(0.0100)

(0.0051)

(0.0049)

(0.0048)

(0.0049)

(0.0043)

(0.0043)

Observations

153,718

153,718

153,718

153,718

153,718

153,718

153,718

R-squared

0.0143

0.3111

0.3318

0.3424

0.3427

0.4031

0.4189

B. By Job’s Posted Wage:

NLH * Low Wage

−0.0216***

0.0210***

0.0284***

0.0278***

0.0279***

0.0221***

0.0218***

 (1,000-4,000 yuan/month)

(0.0065)

(0.0042)

(0.0041)

(0.0041)

(0.0041)

(0.0039)

(0.0038)

NLH * High Wage

0.3704***

0.0507**

0.0510***

0.0495***

0.0491***

0.0098

0.0117

 (4,000-10,000 yuan/month)

(0.0258)

(0.0212)

(0.0194)

(0.0183)

(0.0178)

(0.0181)

(0.0218)

Observations

91,224

91,224

91,224

91,224

91,224

91,224

91,224

R-squared

0.0597

0.3186

0.3345

0.3425

0.3429

0.3897

0.3981

Specifications for all Panels:

Ad-worker match controls

No

Yes

Yes

Yes

Yes

Yes

Yes

Detailed CV controls

No

No

Yes

Yes

Yes

Yes

Yes

Occupation Fixed Effects

No

No

No

Yes

Yes

No

No

Job Competition Controls

No

No

No

No

Yes

Yes

No

Occupation*Firm Fixed Effects

No

No

No

No

No

Yes

No

Ad Fixed Effects

No

No

No

No

No

No

Yes

  1. See notes to Table 2 for detailed regression specifications. Standard errors in parentheses are clustered by ad. *** p < 0.01, ** p < 0.05, * p < 0.1