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Table 9 OLS income regression results by migration duration: dependent variable =log (hourly income)

From: Are migrants discriminated against in Chinese urban labour markets?

  Rural migrants Urban migrants
  Non-recent Recent Non-recent Recent
Age 0.021*** 0.034*** 0.033*** 0.065***
  (0.003) (0.002) (0.008) (0.004)
Age2 -0.000*** -0.000*** -0.000*** -0.001***
  (0.000) (0.000) (0.000) (0.000)
Female -0.283*** -0.167*** -0.237*** -0.168***
  (0.008) (0.004) (0.018) (0.010)
Junior middle school 0.180*** 0.184*** 0.208*** 0.229***
  (0.009) (0.005) (0.038) (0.027)
Senior middle school 0.406*** 0.404*** 0.462*** 0.511***
  (0.012) (0.007) (0.038) (0.027)
College and above 0.955*** 0.863*** 1.094*** 1.072***
  (0.028) (0.014) (0.039) (0.028)
Unmarried -0.076*** -0.012* -0.035 0.047***
  (0.013) (0.006) (0.026) (0.015)
R-squared 0.206 0.181 0.394 0.379
N 25482 69139 6608 15606
  1. Notes: *, **, and *** represent significance levels of 10%, 5%, and 1%, respectively.
  2. The dependent variable is the log of hourly income.
  3. Samples include those aged 16–60 years old and who are out of school.
  4. Observations with no or zero income declared were dropped.
  5. Province dummies and a constant are included in the regressions but not reported.
  6. Standard errors are reported in brackets.
  7. Source: 1% population survey of China (2005).