Marginal Effects

The marginal effect of changing $x_k$:

• Probit: $\Phi (x_i^{\prime }\beta ){\beta }_k$
• Logit: $\frac{\exp (x_i^{\prime }\beta )}{[1+\exp (x_i^{\prime }\beta ){]}^2}{\beta }_k$
• Linear Probability Model: ${\beta }_k$ if $x_i^{\prime }\beta \in [0,1]$