Search Results for author: Daido Kido

Found 4 papers, 0 papers with code

Incorporating Preferences Into Treatment Assignment Problems

no code implementations15 Nov 2023 Daido Kido

We also show that the optimal ITR is strategy-proof, that is, individuals do not have a strong incentive to lie even if they know the optimal ITR a priori.

Locally Asymptotically Minimax Statistical Treatment Rules Under Partial Identification

no code implementations15 Nov 2023 Daido Kido

Policymakers often desire a statistical treatment rule (STR) that determines a treatment assignment rule deployed in a future population from available data.

Distributionally Robust Policy Learning with Wasserstein Distance

no code implementations10 May 2022 Daido Kido

This study examines the application of distributionally robust optimization (DRO), which formalizes an ambiguity about the target population and adapts to the worst-case scenario in the set.

Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs

no code implementations18 Dec 2021 Takanori Ida, Takunori Ishihara, Koichiro Ito, Daido Kido, Toru Kitagawa, Shosei Sakaguchi, Shusaku Sasaki

Our estimates confirm that the estimated assignment policy optimally allocates individuals to be treated, untreated, or choose themselves based on the relative merits of paternalistic assignments and autonomous choice for individuals types.

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