This video covers the concept of getting marginal effects out of probit and logit models so you can interpret them as easily as linear probability models. I cover what marginal effects are, where they come from, and how we can get from an individual effect for everyone to a single representative number with a standard error. I also cover how we can get marginal effects from probit and logit models in R using the margins() function from the margins package.