Proportions

Lost in Transformation: The Horror and Wonder of Logit

Perhaps no other subject in applied statistics and machine learning has caused people as much trouble as the humble logit model. Most people who learn either subject start off with some form of linear regression, and having grasped it, are then told that if they have a variable with only two values, none of the rules apply.

What To Do (And Not to Do) with Modeling Proportions/Fractional Outcomes

Interested in more social science on contemporary issues? Check out my just-released book with Cambridge University Press and use discount code KUBINEC23 to get 20% off. Introduction Limited dependent variables, or continuous variables with lower and upper bounds, are quite common in the social sciences but do not fit easily with existing statistical models.