Some Characterizations of TTC in Multiple-Object Reallocation Problems (2404.04822v4)
Abstract: This paper considers reallocation of indivisible objects when agents are endowed with and can consume any bundles. We obtain characterizations of generalized versions of the Top Trading Cycles (TTC) rule on several preference domains. On the lexicographic domain, the TTC rule is uniquely determined by balancedness, Pareto efficiency, the worst endowment lower bound, and either truncation-proofness or drop strategy-proofness. On the more general responsive domain, the TTC rule is the unique individual-good-based rule that satisfies balancedness, individual-good efficiency, truncation-proofness, and either individual rationality or the worst endowment lower bound. On the conditionally lexicographic domain, the augmented TTC rule is characterized by balancedness, Pareto efficiency, the worst endowment lower bound, and drop strategy-proofness. The conditionally lexicographic domain is a maximal domain on which Pareto efficiency coincides with individual-good efficiency. For the housing market introduced by Shapley and Scarf (1974), the TTC rule is characterized by Pareto efficiency, individual rationality, and truncation-proofness.
- Some characterizations of generalized top trading cycles. Games and Economic Behavior 141 (2023), 156–181.
- Hidekazu Anno and Morimitsu Kurino. 2016. On the operation of multiple matching markets. Games and Economic Behavior 100 (2016), 166–185.
- Efficient reallocation under additive and responsive preferences. Theoretical Computer Science 790 (2019), 1–15.
- Péter Biró and Gergely Csáji. 2024. Strong core and Pareto-optimality in the multiple partners matching problem under lexicographic preference domains. Games and Economic Behavior 145 (2024), 217–238.
- Balanced Exchange in a Multi-Unit Shapley-Scarf Market. (2022). Barcelona School of Economics Working Paper 1342.
- Serial rules in a multi-unit Shapley-Scarf market. Games and Economic Behavior 136 (2022), 428–453.
- Matching through institutions. Games and Economic Behavior 121 (2020), 204–231.
- Gian Caspari. 2020. Booster draft mechanism for multi-object assignment. (2020). ZEW-Centre for European Economic Research Discussion Paper 20-074.
- Marco Castillo and Ahrash Dianat. 2016. Truncation strategies in two-sided matching markets: Theory and experiment. Games and Economic Behavior 98 (2016), 180–196.
- The Machiavellian Frontier of Top Trading Cycles. (2024). arXiv preprint arXiv:2106.14456.
- Yajing Chen and Fang Zhao. 2021. Alternative characterizations of the top trading cycles rule in housing markets. Economics Letters 201 (2021), 109806.
- Jacob Coreno and Ivan Balbuzanov. 2022. An Axiomatic Characterization of Draft Rules. (2022). arXiv preprint arXiv:2204.08300.
- Lars Ehlers. 2008. Truncation strategies in matching markets. Mathematics of Operations Research 33, 2 (2008), 327–335.
- Özgün Ekici. 2023. Pair-efficient reallocation of indivisible objects. Theoretical Economics (2023). Forthcoming.
- Di Feng. 2023. Efficiency in Multiple-Type Housing Markets. (2023). arXiv preprint arXiv:2308.14989.
- Characterizing the Typewise Top-Trading-Cycles Mechanism for Multiple-Type Housing Markets. Games and Economic Behavior (2024). Forthcoming.
- A complexity approach for core-selecting exchange under conditionally lexicographic preferences. Journal of Artificial Intelligence Research 63 (2018), 515–555.
- Two axiomatic approaches to the probabilistic serial mechanism. Theoretical Economics 9, 1 (2014), 253–277.
- Bettina Klaus and Eiichi Miyagawa. 2002. Strategy-proofness, solidarity, and consistency for multiple assignment problems. International Journal of Game Theory 30, 3 (2002), 421–435.
- Fuhito Kojima and Parag A Pathak. 2009. Incentives and stability in large two-sided matching markets. American Economic Review 99, 3 (2009), 608–27.
- On the Shapley–Scarf economy: the case of multiple types of indivisible goods. Journal of Mathematical Economics 35, 1 (2001), 1–15.
- Vikram Manjunath and Alexander Westkamp. 2021. Strategy-proof exchange under trichotomous preferences. Journal of Economic Theory 193 (2021), 105197.
- Timo Mennle and Sven Seuken. 2021. Partial strategyproofness: Relaxing strategyproofness for the random assignment problem. Journal of Economic Theory 191 (2021), 105144.
- Daniel Monte and Norovsambuu Tumennasan. 2015. Centralized allocation in multiple markets. Journal of Mathematical Economics 61 (2015), 74–85.
- Alexander S Nesterov. 2017. Fairness and efficiency in strategy-proof object allocation mechanisms. Journal of Economic Theory 170 (2017), 145–168.
- Szilvia Pápai. 2001. Strategyproof and nonbossy multiple assignments. Journal of Public Economic Theory 3, 3 (2001), 257–271.
- Szilvia Pápai. 2003. Strategyproof exchange of indivisible goods. Journal of Mathematical Economics 39, 8 (2003), 931–959.
- Szilvia Pápai. 2007. Exchange in a general market with indivisible goods. Journal of Economic Theory 132, 1 (2007), 208–235.
- William Phan and Christopher Purcell. 2022. The parameterized complexity of manipulating Top Trading Cycles. Autonomous Agents and Multi-Agent Systems 36, 2 (2022), 51.
- Alvin E Roth and Uriel G Rothblum. 1999. Truncation strategies in matching markets—in search of advice for participants. Econometrica 67, 1 (1999), 21–43.
- Alvin E Roth and John H Vande Vate. 1991. Incentives in two-sided matching with random stable mechanisms. Economic theory 1 (1991), 31–44.
- Jay Sethuraman. 2016. An alternative proof of a characterization of the TTC mechanism. Operations Research Letters 44, 1 (2016), 107–108.
- Lloyd S Shapley and Herbert Scarf. 1974. On cores and indivisibility. Journal of Mathematical Economics 1, 1 (1974), 23–37.
- Mechanism design for multi-type housing markets. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. 684–690.
- Strategyproof exchange with multiple private endowments. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence. 805–811.
- Peter Troyan and Thayer Morrill. 2020. Obvious manipulations. Journal of Economic Theory 185 (2020), 104970.
- Jingsheng Yu and Jun Zhang. 2020. A market design approach to job rotation. Games and economic behavior 120 (2020), 180–192.