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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