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Balanced Triangle: Regular worker unions’ attitudes toward irregular workers, In the context of labor relations in Korea
Unformatted Document Text:  control variables and model 2 includes the Relation variable. Only difference between two model is existence of relation variable. Result for lrtest which compare two model shows Relation variable has effect on Attitude variable and it is statistically significant (Prob > Chi2= 0.0031). Table 3: Ordinary Logistic Regression Result Model 1 Model 2 Coefficient Std. Error Coefficient Std. Error Relation -0.401*** (0.12) Age 0.0155** (0.0061) 0.0117* (0.0062) Size 0.220** (0.11) 0.206* (0.11) Wage level -0.106 (0.13) -0.0672 (0.13) Manufacture Industry 0.115 (0.51) 0.174 (0.51) Construction Industry 0.404 (0.76) 0.638 (0.78) Service Industry (Reference: The others) -0.181 (0.5) -0.154 (0.51) Irregular Member Yes -1.159*** (0.41) -1.186*** (0.41) Irregular Member No (Reference: no irregular workers in workplace) -0.518** (0.24) -0.588** (0.24) Observations 318 318 R-squared 0.0276 0.0394 Note: Standard errors in parentheses, *** p<0.01, ** p<0.05, * p<0.1 This table shows coefficient value in logistic regression method, the coefficient given by all logistic method describes independent variable’s effect on the log odds that attitude for irregular workers. Interpretation is that for a unit increase in relation variable (more bad relation with employer), the probability to be friendly to irregular workers increases 1.5(e β=-0.401 ) times, holding other variables constant. It means if the more union thinks ‘employer supports union and treats 8

Authors: Soojung, Chio.
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control variables and model 2 includes the Relation variable. Only difference between two model 
is existence of relation variable. Result for lrtest which compare two model shows Relation 
variable has effect on Attitude variable and it is statistically significant (Prob > Chi2= 0.0031). 
Table 3: Ordinary Logistic Regression Result                                                               
 
Model 1 
Model 2 
 
Coefficient 
Std. Error
Coefficient 
Std. Error 
Relation 
 
 
-0.401*** (0.12) 
Age 0.0155** 
(0.0061) 
0.0117* 
(0.0062) 
Size 0.220** 
(0.11) 
0.206* 
(0.11) 
Wage level 
-0.106 
(0.13) 
-0.0672 
(0.13) 
Manufacture 
Industry 0.115  (0.51) 
0.174 
(0.51) 
Construction Industry
 
0.404 (0.76)  0.638 
(0.78) 
Service 
Industry
 
 
(Reference: The others)
 
-0.181 (0.5)  -0.154 
(0.51) 
Irregular Member 
Yes 
-1.159*** (0.41)  -1.186*** 
(0.41) 
Irregular Member 
No 
(Reference: no irregular 
workers in workplace) 
-0.518** (0.24)  -0.588** 
(0.24) 
Observations 318 
 
318 
 
R-squared 0.0276 
 
0.0394 
 
Note: Standard errors in parentheses, *** p<0.01, ** p<0.05, * p<0.1 
This table shows coefficient value in logistic regression method, the coefficient given by all 
logistic method describes independent variable’s effect on the log odds that attitude for irregular 
workers. Interpretation is that for a unit increase in relation variable (more bad relation with 
employer), the probability to be friendly to irregular workers increases 1.5(e
β=-0.401
)
times, holding 
other variables constant. It means if the more union thinks ‘employer supports union and treats 
 


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