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IZA Journal of Labor & Development

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).
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