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Table 2 Marginal effects of multinomial logit regressions

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

  Urban residents Rural migrants Urban migrants
  Self-employed Without contract Self-employed Without contract Self-employed Without contract
Age -0.007 -0.100*** 0.143*** -0.022*** 0.140*** -0.078***
  (0.007) (0.005) (0.009) (0.006) (0.020) (0.013)
Age2 -0.000 0.001*** -0.002*** 0.000*** -0.002*** 0.001***
  (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
Female -0.225*** 0.114*** -0.543*** -0.143*** -0.111** 0.109***
  (0.015) (0.010) (0.023) (0.015) (0.046) (0.032)
Junior middle school -0.537*** -0.098*** -0.563*** -0.497*** -0.463*** -0.342***
  (0.026) (0.024) (0.027) (0.022) (0.094) (0.085)
Senior middle school -1.509*** -0.521*** -1.037*** -0.971*** -1.180*** -0.923***
  (0.027) (0.024) (0.037) (0.027) (0.095) (0.084)
College and above -3.449*** -0.694*** -1.847*** -1.412*** -2.234*** -1.600***
  (0.039) (0.024) (0.104) (0.055) (0.105) (0.087)
Unmarried -0.475*** 0.121*** -1.103*** 0.059** -0.780*** 0.203***
  (0.035) (0.020) (0.042) (0.024) (0.081) (0.047)
N 219712   94621   22214  
  1. Notes: *, **, and *** represent significance levels of 10%, 5%, and 1%, respectively.
  2. Samples include individuals aged 16–60 years and who are out of school.
  3. Observations of migrants who migrated for reasons not related to employment were dropped.
  4. The base category in the multinomial logit is formal employment.
  5. Regional dummies are included in the regressions but not reported.
  6. Standard errors are reported below coefficients.
  7. Source: 1% population survey of China (2005).