What is the marginal effect in probit regression?
Could you please elaborate on the concept of marginal effect in the context of probit regression? How does it differ from the coefficients estimated in the model, and what insights does it provide for interpreting the results? Additionally, how is it calculated, and what are some practical applications of understanding the marginal effect in probit regression models?