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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