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Table 3 Cross-classified multilevel models for individual monthly income (Log), CFPS2010

From: Regional segregation or industrial monopoly? Dual labor market segmentation and income inequality in China

Variable

Model 1

Model 2

Model 3

Individual level

 Years of schooling

.067***

 

.063***

(.008)

(.008)

 Work experience

.044***

 

.045***

(.006)

(.006)

 Work experience square

−.001***

 

−.001***

(.0001)

(.0001)

 Male

1.253***

 

1.256***

(.071)

(.071)

 Urban resident

.753***

 

.694***

(.060)

(.060)

 Party member

.205*

 

.221**

(.082)

(.082)

 Occupation (ISEI)

.009***

 

.009***

(.002)

(.002)

 State/collective owned work unit

.167*

 

.138†

(.075)

(.074)

 Male × years of schooling

−.046***

 

−.046***

(.008)

(.008)

Region level

 GDP per capita

 

.039***

.034**

(.011)

(.011)

 Average years of schooling

 

.211***

.110**

(.042)

(.041)

Industry level

 Industry type (reference = agriculture)

   

  Industry and construction

 

5.802***

4.087***

(.660)

(.643)

  Service and other

 

5.651***

3.985***

(.654)

(.637)

 Industry age

 

−.153

.018

(.565)

(.554)

 Industry scale

 

.033

.008

(.047)

(.046)

 % of female employees

 

−.684*

.112

(.321)

(.315)

 % of employees with higher education

 

1.036*

.358

(.420)

(.412)

 % of state owned entities

 

3.697*

1.777

(1.648)

(1.596)

 Average revenue per capita

 

−.001

.0002

(.001)

(.001)

 Intercept

4.734***

−1.685

−1.154

(.239)

(1.451)

(1.419)

 Individual level residual (σ 0i )

2.423

2.510

2.423

(.014)

(.015)

(.014)

 Region level residual (σ 0j )

.629

.585

.564

(.043)

(.040)

(.039)

 Industry level residual (σ 0k )

.799

.0001

.00002

(.134)

(.003)

(.003)

  1. Numbers in brackets are estimated standard errors. The corresponding sample sizes for individual, region and industry are 14,698, 162, and 19, respectively
  2. †p < .1; *p < .05; **p < .01; ***p < .001