![]() ![]() ANOVA table: This is the table at the top-left of the output in Stata and it is as shown below: SS is short for sum of squares and it is used to. 1003786 -2.32 0.021 -.4293957 -.0358292Īgesq |. The data is as shown below: Using Stata to fit a regression line in the data, the output is as shown below: The Stata output has three tables and we will explain them one after the other. Linear regression, absorbing indicators Number of obs = 6209ĭocvis | Coef. Note: female omitted because of collinearity Why is that? areg docvis hhkids age agesq married working linc addon female fekid, absorb(id) Multinomial Logistic Regression Apa is universally compatible with any devices to read Regression Models for Categorical Dependent Variables Using Stata. Why is this? Why is female omitted? I assume that this is due to the multicollinearity between female and fekids, however when I do an OLS regression this does not happen. I was told by someone that I do not need to include female. I have included the variable female in my regression. That women with children are 15.77% less likely to visit the hospital than men with children are. I have interpreted from the coefficient on fekids that women's hospital visits ARE more affected than men's. I wanted to see whether women's hospital visits are more affected by having children than men's. hhkids refers to whether or not a person has kids. When we use robust standard errors, the coefficient estimates don’t change at all. The coefficient estimates remained the same. I created an interaction term between hhkids and female called fekids. There are a few interesting things to note here: 1. The dependent variable docvis refers to hospital visits. I am carrying out a fixed effect regression. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |