The support function of the identified set for solutions to conditional linear programs is expressed as an average of intersections of regression functions and shown to be a regular parameter admitting standard asymptotic inference.
Efficient and Convergent Sequential Pseudo-Likelihood Estimation of Dynamic Discrete Games , volume=
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Adaptive Estimation of Aggregated Values of Conditional Linear Programs
The support function of the identified set for solutions to conditional linear programs is expressed as an average of intersections of regression functions and shown to be a regular parameter admitting standard asymptotic inference.