A bivariate probit model for a binary treatment and outcome uses latent equations
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where has a bivariate normal distribution. Its correlation parameter represents dependence between the two latent disturbances; when nonzero, treatment is endogenous in the outcome equation.

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  1. Sensitivity analysis for unmeasured confounding
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