Generalizes control function identification to set-valued functions, yielding sharp bounds on causal parameters under relaxed selection assumptions.
They characterize identified sets for structural parameters, applying random set theory to the level set of unobservables
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Set-Valued Control Functions
Generalizes control function identification to set-valued functions, yielding sharp bounds on causal parameters under relaxed selection assumptions.