How to interpret "marginals" in case of the zero-weighted binomial model?
It may be noted that in the case of ordered probit, one gets a set of numbers as marginals as there is multiple ordered category of the dependent variable. Binomial also may have values between 0 and N. Is the default marginal computed by STATA for binomial regression (say with atmeans) is true for the average or expected value of the dependent variable as well as all independent variables. For example, if Y is our dependent variable, and X is an independent variable and the marginal of X is given as 0.12, can I conclude that one unit increase of X at its mean will lead to 0.12 units of increase in E(Y)?
Related Posts with How to interpret "marginals" in case of the zero-weighted binomial model?
Dynamically row sum with conditionsDear Statalisters, I have information about the number of number of stocks bought by company and da…
Generating index numbers with panel data Hello, Would anyone know whether there exists a possibility to generate index numbers over time wit…
Applying macro to local data file locationHi I hope this is clear enough-- I have read that I should create a new directory to be able to hide…
Labeling Dummy VariablesHi This may sound silly but I am having problems labeling the Stata output from 0 to YES and 1 to NO…
margins after mlogit not estimable - why?HI all, Ran the below multinomial logit model and some of the margins are not estimable. What are so…
Subscribe to:
Post Comments (Atom)
0 Response to How to interpret "marginals" in case of the zero-weighted binomial model?
Post a Comment