Finally, we focus on the three most prominent schemes in all of our surveys and run a multinomial logistic regression model.
A more elaborate method is to create a three-category variable and run a multinomial logit/probit model with a base category of full match between the individual and the job.
To understand selection into child health insurance, we run a multinomial logit regression of health insurance of different explanatory variables using the sample of children aged 6 to 14 in the 2006, 2008, 2010 and 2012 VHLSSs.
In the second stage, we run a multinomial probit regression, where the set of regressors includes the first-stage regression predicted residuals, the endogenous regressor, and the same set of individual-level and contextual controls as in the first stage.
In the second stage, we run a multinomial logistic regression model to understand the effects of socioeconomic, demographic and cultural predictors on the likelihood of choosing the context of skilled birth attendance (home delivery assisted by skilled health professionals = 1; delivery at public facility = 2; delivery at private facility = 3).
We ran a separate multinomial analysis to determine similarities and differences in the combination of risk factors for depression only and PTSD only compared to risk factors for the comorbid diagnosis.
Before running a model, in our case the multinomial logit, explanatory variables were checked for multicollinearity (Verbeek 2008).
"starthis" "running" "dropped" "notyet" Independent multinomial variables that tell whether the entrepreneur is running an entrepreneurial firm ("running"), used to operate some venture ("dropped"), or has never ever started/operated an entrepreneurial venture ("notyet").
By day, Brian runs a greasy spoon.
