About this document
Multi Regression with Binary Outcomes by Lâm Bulls is a document available to read on EtoBox.
This document discusses different regression models used when the dependent variable is binary: the linear probability model (LPM), logit model, and probit model. It provides details on each model, including how to interpret coefficients and estimate the models. Specifically, it explains that the LPM has weaknesses where the probability can be less than 0 or greater than 1. The logit and probit models address this by using logistic and normal cumulative distribution functions to bound the probability betwee
- Author
- Lâm Bulls
- Language
- EN