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Partial or Marginal Effects in Logistic Regression

Linear Regression In a “level-level” regression specification: $$y = beta_0 + beta_1x_1 + epsilon$$ The marginal effect of (x_1) on (y) is found by differentiating with respect to (x_1). So, (frac{dy}{dx} = beta_1) In a “log-level” regression specification: $$ log(y) = beta_0 + beta_1x_1 + epsilon $$ To get the marginal effect (frac{dy}{dx_1}), we have […]