Generalizes control function identification to set-valued functions, yielding sharp bounds on causal parameters under relaxed selection assumptions.
Under the assump- tion that the underlying probability space is non-atomic, we may apply the convexification theorem (Molinari, 2020, Theorem A.2.)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.EM 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Set-Valued Control Functions
Generalizes control function identification to set-valued functions, yielding sharp bounds on causal parameters under relaxed selection assumptions.