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) |