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However, using the LS predictor, both the dummy variable estimation method and mixed model estimation showed almost identical prediction results.
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Particularly, we report 2SLS estimates in which both the reported household income and the dummy variable for SE have been instrumented.
(See the "dummy variable trap").
To measure duality, this paper uses the dummy variable method.
Non-linearity was also evident using the dummy variable estimators.
Interactions between the dummy variable(s) and dummy variables indicating race/ethnicity will identify the effect of the CCM on health disparities.
All coefficients in both analyses, except for the dummy variables, are also presented as natural logarithm transformations, and standard errors are robust.
The dummy variables gender and having children were not significant, but both income variables and the employment variable were.
The dummy variables are 0, 1.
Therefore, we add dummy variables for prenatal education crossed with the dummy variables for the woman's occupation, as well as dummy variables for no prenatal education crossed with the dummy variables for the woman's occupation.
Note that we have replaced the dummy variables by, respectively.
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