Inverse Mills Ratio

Also known as · IMR · lambda · Mills ratio

The inverse Mills ratio (IMR) λi=φ(zi′γ^)/Φ(zi′γ^)\lambda_i = \varphi(\mathbf{z}_i'\hat{\boldsymbol\gamma}) / \Phi(\mathbf{z}_i'\hat{\boldsymbol\gamma}) is the correction term inserted into the outcome equation in the Heckman two-step procedure. It is computed from the first-stage selection probit and quantifies, for each selected observation, the implied conditional expectation of the unobserved selection error. The coefficient ρ\rho on λi\lambda_i in the outcome equation tests for selection: if ρ^\hat\rho is statistically significant, the selection equation's unobservables are correlated with the outcome equation's unobservables, confirming bias.

When to use

The IMR is the diagnostic and the fix in Heckman. PS_2's outcome equation gives ρ^=−3.171\hat\rho = -3.171 (p < 0.001) → strong evidence of selection bias in the fertility regression. The corrected educ coefficient (+0.017, n.s.) is dramatically different from the OLS estimate (−0.103, ***) — a clean illustration that the OLS result was largely a selection artefact, not a within-sample fertility effect.

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