Research
Publications
Efficiency and strategy-proofness in multi-unit object allocation problems with non-quasi-linear preferences: A positive result Economics Letters, 2023, 223: 110989
Working paper
Efficient and strategy-proof multi-unit object allocation problems with money: Decreasing incremental valuations with income effects (joint with Tomoya Kazumura and Shigehiro Serizawa)
(previously circulated as "Multi-unit object allocation problems with money for (non-)decreasing incremental valuations: Impossibility and characterization theorems")
(previously circulated as "Characterizing pairwise strategy-proof rules in object allocation problems with money")
A maximal domain for efficiency and strategy-proofness in multi-unit object allocation problems without quasi-linearity
Shill-proof rules in object allocation problems with money (under review)
Strategy-proof allocation problem with hard budget constraints and income effects: weak efficiency and fairness (joint with Yuya Wakabayashi and Ryosuke Sakai)
Other publications
Egalitarian-equivalence and strategy-proofness in the object allocation problem with non-quasi-linear preferences Games, 2022, 13(6) (in the special issue Strategy-proof Mechanism Design)
Work in progress
Efficiency and strategy-proofness in package assignment problems with income effects (joint with Tomoya Kazumura and Shigehiro Serizawa)
Efficiency, fairness, and strategy-proofness in constrained object allocation problems with money (joint with Shigehiro Serizawa)
Efficient and strategy-proof multi-unit object allocation under constraints
Obviously fair object allocation with money
On strategy-proofness of the uniform-price rule for preferences with nondecreasing incremental valuations
Two-sided collusion, Self-enforcing manipulations, and the first-price rule
Two-sided collusion-proofness in object allocation problems with money
Optimal shill bidding by the seller under private valuations
Regret-free truth-telling and efficiency in multi-unit object allocation problems with non-quasi-linear preferences