Table 7 Regression models when interaction terms for two variables are included

From: Increasing Inequality in Social Exclusion Occurrence: The Case of Sweden During 1979–2003

Variable Odds ratio P-value Odds ratio P-value Odds ratio P-value Odds ratio P-value
Year 1979         
Years 1986–1987 0.752 0.004 0.884 0.317 0.790 0.025 0.824 0.101
Years 1994–1995 0.974 0.780 1.295 0.134 1.063 0.623 1.116 0.490
Years 2002–2003 0.996 0.973 1.456 0.107 1.129 0.446 1.156 0.496
Women         
Men 1.604 0.000 2.052 0.000 2.156 0.000 1.608 0.000
Time * Men    0.909 0.136 0.891 0.067   
55–64 Years         
25–34 Years 1.232 0.081 1.230 0.085 1.233 0.079 1.245 0.068
35–44 Years 1.210 0.107 1.219 0.096 1.208 0.111 1.232 0.080
45–54 Years 1.009 0.931 1.027 0.802 1.013 0.903 1.034 0.757
Couples without children         
Couples with children 2.017 0.000 3.563 0.000 2.020 0.000 3.614 0.000
Singles without children 3.290 0.000 3.080 0.000 3.261 0.000 3.142 0.000
Singles with children 5.549 0.000 2.849 0.010 5.578 0.000 2.686 0.014
Time * Couples with children    0.793 0.007    0.786 0.005
Time * Singles without children    1.020 0.828    1.012 0.895
Time * Singles with children    1.276 0.072    1.304 0.047
Swedes         
1st-Generation Swedes 1.412 0.055 1.441 0.043 1.242 0.645 1.263 0.622
Immigrants 3.864 0.000 3.907 0.000 2.777 0.000 2.655 0.000
Time * 1st-generation Swedes      1.049 0.753 1.050 0.749
Time * Immigrants      1.133 0.131 1.158 0.078
College         
University 1.184 0.333 1.170 0.370 1.166 0.379 1.175 0.359
High school 1.510 0.010 1.473 0.016 1.487 0.013 1.481 0.015
Vocational school 1.566 0.002 1.547 0.002 1.568 0.002 1.550 0.002
Compulsory school 2.185 0.000 2.159 0.000 2.183 0.000 2.161 0.000
Not completed education 4.811 0.000 4.701 0.001 4.675 0.001 4.691 0.001
Higher white collars         
Middle white collars 1.504 0.022 1.503 0.023 1.500 0.023 1.511 0.022
Lower white collars 1.589 0.018 1.591 0.019 1.587 0.019 1.591 0.019
Skilled blue collars 2.982 0.000 2.982 0.000 2.953 0.000 2.993 0.000
Unskilled blue collars 2.979 0.000 3.021 0.000 2.985 0.000 3.029 0.000
Self-employed 1.945 0.002 1.988 0.001 1.946 0.002 1.964 0.002
Farmers 2.575 0.003 2.605 0.003 2.539 0.004 2.585 0.003
Students 3.798 0.000 3.837 0.000 3.838 0.000 3.884 0.000
Others 8.707 0.000 9.463 0.000 9.013 0.000 9.293 0.000
Constant exp(−5.395)   exp(−5.626)   exp(−5.457)   exp(−5.521)  
Log-likelihood −4,189.179   −4,176.712   −4,186.142   −4,176.260  
Log-likelihood score    24.934 0.000 6.074 0.108 25.838 0.000
  1. Note Significant parameters at the 5% level are in bold. The log-likelihood score is a test of whether the inclusion of more explanatory variables significantly improves the model fit. The log-likelihood score is a comparison with the first model that does not include any interaction terms
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