| Male | Urban resident | Education | Party member | Occupational ISEI | State/collective unit |
---|---|---|---|---|---|---|
(Model 4) | (Model 5) | (Model 6) | (Model 7) | (Model 8) | (Model 9) | |
Main effect | ||||||
 Main effect for each column variable | .127 | .650 | .098* | .068 | −.002 | .289 |
(.404) | (.484) | (.044) | (.645) | (.014) | (.479) | |
 County GDP per capita | .044*** | .035* | .052*** | .033** | .041* | .036*** |
(.012) | (.016) | (.014) | (.011) | (.017) | (.011) | |
 County average education | .103* | .154** | .140* | .111** | .130* | .126** |
(.046) | (.053) | (.053) | (.042) | (.062) | (.043) | |
 % of female employees | −.702 | .222 | .776 | .121 | −1.115 | −.115 |
(.539) | (.450) | (.600) | (.320) | (.732) | (.341) | |
 % of employees with higher education | .756†| .298 | −.629 | .396 | .987 | .499 |
(.441) | (.490) | (.711) | (.418) | (.771) | (.453) | |
 % of state-owned entities | 1.048 | .533 | 1.333 | 1.687 | −4.599* | −.093 |
(1.605) | (1.612) | (1.629) | (1.597) | (2.025) | (1.644) | |
Cross-level interaction with region variable | ||||||
 GDP per capita | −.019* | −.0001 | −.002†| .0004 | −.0002 | −.011 |
(.009) | (.014) | (.001) | (.017) | (.0003) | (.010) | |
 Average education | .014 | −.044 | −.003 | .002 | −.001 | −.059 |
(.036) | (.051) | (.004) | (.060) | (.001) | (.046) | |
Cross-level interaction with industry variable | ||||||
 % of female employees | .421 | .013 | −.085 | −.335 | .031†| .895 |
(.587) | (.526) | (.060) | (.813) | (.018) | (.639) | |
 % of employees with higher education | −.656* | .062 | .081†| −.062 | −.011 | −.458 |
(.314) | (.335) | (.042) | (.409) | (.011) | (.386) | |
 % of state-owned entities | 2.202*** | 1.904*** | .066* | 1.582** | .164*** | 5.611*** |
(.251) | (.278) | (.030) | (.508) | (.030) | (.884) |