Proposes residuals-based contextual DRO with decision-dependent uncertainty using regression, provides statistical guarantees, and develops a convergent Benders decomposition algorithm.
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concATE combines the Dvoretzky-Kiefer-Wolfowitz inequality with delta-method inference and Bonferroni allocation to produce valid joint confidence bands for interval-identified ATEs under tail uncertainty, with an application showing positive effects of senior gender diversity on firm value beyond 0
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Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm
Proposes residuals-based contextual DRO with decision-dependent uncertainty using regression, provides statistical guarantees, and develops a convergent Benders decomposition algorithm.
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Sharp Hybrid Confidence Bands for Partially Identified Treatment Effects under Tail Uncertainty with an Application to Workforce Gender Diversity and Firm Performance
concATE combines the Dvoretzky-Kiefer-Wolfowitz inequality with delta-method inference and Bonferroni allocation to produce valid joint confidence bands for interval-identified ATEs under tail uncertainty, with an application showing positive effects of senior gender diversity on firm value beyond 0