What is the difference between logit and probit LPM?
I'm trying to understand the distinction between logit and probit LPM. I know they are both used in statistical modeling, but what sets them apart from each other in terms of their approach and application?
Why is logit better than LPM?
I want to understand why logit is considered a better choice compared to LPM. What are the advantages of logit over LPM that make it a preferred option?
What are the differences between the LPM and the logit or probit models?
I am trying to understand the distinctions between three different types of models: LPM, logit, and probit. I want to know how they differ from each other in terms of their approach, assumptions, and applicability.