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Justified-envy-minimal efficient mechanisms for priority-based matching 基于优先级匹配的合理嫉妒最小有效机制
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-01-16 DOI: 10.1016/j.geb.2026.01.003
Hyukjun Kwon , Ran I. Shorrer
We study priority-based matching markets. We propose a novel partial order for comparing matching mechanisms in terms of their “fairness.” Using this order, we show that efficiency-adjusted deferred acceptance (EADA) is justified-envy minimal in the class of efficient mechanisms, while top trading cycles (TTC) and other popular mechanisms are not. Our findings highlight EADA as an interesting alternative to TTC in the context of transplantation-organ markets. Restricting attention to strategyproof mechanisms, we show that TTC is justified-envy minimal, providing robustness to the result of Abdulkadiroğlu et al. (2020).
我们研究基于优先级的匹配市场。我们提出了一种新的偏序来比较匹配机制的“公平性”。使用这个顺序,我们证明了效率调整延迟接受(EADA)在有效机制类别中是合理嫉妒最小的,而顶部交易周期(TTC)和其他流行的机制则不是。我们的研究结果强调,在移植器官市场中,EADA是TTC的一个有趣的替代方案。将注意力限制在策略证明机制上,我们表明TTC是合理嫉妒最小的,为Abdulkadiroğlu等人(2020)的结果提供了鲁棒性。
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引用次数: 0
Equilibrium cycle: A “Dynamic” equilibrium 均衡周期:一种“动态”均衡
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.1016/j.geb.2026.02.007
Tushar Shankar Walunj , Shiksha Singhal , Veeraruna Kavitha , Jayakrishnan Nair
In this paper, we introduce a novel equilibrium concept, called the equilibrium cycle, which seeks to capture the outcome of oscillatory game dynamics. Unlike the (pure) Nash equilibrium, which defines a fixed point of mutual best responses, an equilibrium cycle is a set-valued solution concept that can be demonstrated even in games where best responses do not exist (for example, in discontinuous games). The equilibrium cycle identifies a Cartesian product set of action profiles that satisfies three important properties: stability against external deviations, instability against internal deviations, and minimality. This set-valued equilibrium concept generalizes the classical notion of the minimal curb set to discontinuous games. In finite games, the equilibrium cycle is related to strongly connected sink components of the best response graph.
在本文中,我们引入了一个新的均衡概念,称为均衡周期,它试图捕捉振荡博弈动力学的结果。不像(纯粹的)纳什均衡,它定义了相互最佳反应的固定点,平衡循环是一个集值解决方案的概念,甚至可以在不存在最佳反应的游戏中证明(例如,在不连续的游戏中)。平衡循环确定了满足三个重要特性的动作轮廓的笛卡尔积集:对抗外部偏差的稳定性,对抗内部偏差的不稳定性,以及极小性。这个集值均衡概念将经典的最小约束集概念推广到不连续对策。在有限对策中,平衡周期与最佳响应图的强连接汇分量有关。
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引用次数: 0
Adapting stable matchings to evolving preferences 使稳定的匹配适应不断变化的偏好
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI: 10.1016/j.geb.2026.02.006
Robert Bredereck , Jiehua Chen , Dušan Knop , Junjie Luo , Rolf Niedermeier
Adaptivity to changing environments and constraints is key to success in modern society. We address this principle by proposing “incrementalized versions” of Stable Marriage and Stable Roommates, asking what the computational cost is of adapting an existing stable matching after agents’ preferences have changed. We additionally require that the new stable matching should not deviate too much from the old one. After formalizing these incremental versions, we provide a comprehensive computational complexity landscape of Incremental Stable Marriage and Incremental Stable Roommates. To this end, we exploit the parameters “degree of change” in the input (difference between old and new preference profile) and in the output (difference between old and new stable matching). We obtain both hardness and tractability results. In particular, with ties in preferences, both problems remain computationally intractable even under minimal preference changes, whereas with strict preferences, both become (fixed-parameter) tractable, regardless of the extent of preference changes.
适应不断变化的环境和约束是在现代社会取得成功的关键。我们通过提出稳定婚姻和稳定室友的“增量版本”来解决这一原则,询问在代理人的偏好发生变化后,调整现有稳定匹配的计算成本是多少。我们还要求新的稳定匹配不能偏离旧的太大。在形式化这些增量版本之后,我们提供了增量稳定婚姻和增量稳定室友的综合计算复杂性景观。为此,我们利用了输入(新旧偏好配置文件之间的差异)和输出(新旧稳定匹配之间的差异)中的参数“变化程度”。我们得到了硬度和可处理性的结果。特别是,对于偏好的关联,即使在最小的偏好变化下,这两个问题在计算上仍然难以处理,而对于严格的偏好,无论偏好变化的程度如何,这两个问题都变得(固定参数)易于处理。
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引用次数: 0
Timing and skewness of information revelation: Evidence on information structures and compound lotteries 信息披露的时代性与偏度:基于信息结构与复合彩票的证据
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-01-23 DOI: 10.1016/j.geb.2026.01.005
Enrico Diecidue , Thomas Langer , Sven Nolte , Sebastian Riedmiller , Judith C. Schneider
In a series of three experiments, we investigate intrinsic preferences for timing and skewness of information resolution in a “compound lottery” (CL) and “information structure” (IS) environment. In the first experiment, we rule out predeterminedness of the outcome, i.e., realization before making the decision, as a driver of different timing preferences between the environments. In the second experiment, we show that skewness preferences in a two-outcome setting differ between the two environments. In the third comprehensive experiment, we integrate all three dimensions (timing, skewness, and environment) into a three-outcome setting, which allows a rigorous treatment of skewness. With respect to timing, participants prefer to receive information early in both environments. In case of a gradual resolution, participants strictly prefer positively skewed information in the IS environment, but symmetric information in the CL environment. Our results show that skewness and environment must be jointly taken into account when studying preferences for information resolution.
在一系列的三个实验中,我们研究了“复合彩票”(CL)和“信息结构”(IS)环境下信息解决的时间和偏度的内在偏好。在第一个实验中,我们排除了结果的预见性,即在做出决策之前实现,作为不同环境之间不同时间偏好的驱动因素。在第二个实验中,我们展示了两种环境中双结果设置下的偏度偏好是不同的。在第三个综合实验中,我们将所有三个维度(时间、偏度和环境)整合到一个三结果设置中,这允许对偏度进行严格的处理。在时间方面,在这两种环境中,参与者都倾向于更早地接收信息。在渐进解决的情况下,参与者在IS环境中严格倾向于正偏斜的信息,而在CL环境中则倾向于对称的信息。我们的研究结果表明,在研究信息分辨率偏好时,必须共同考虑偏度和环境。
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引用次数: 0
Strategy vs. direct-response method: evidence from a large online experiment on simple social dilemmas 策略与直接反应法:来自简单社会困境的大型在线实验的证据
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2025-11-07 DOI: 10.1016/j.geb.2025.10.010
Marcus Roel , Zhuoqiong Chen
This paper examines behavioral differences in sequential games that arise when choices are elicited via the direct-response method, where players observe the choices made by those who acted earlier and respond with a single choice, or strategy method, where they make their choice(s) in response to all possible choices by those who acted before regardless of whether such actions were taken. We conducted a 2  ×  2 between-subject large-scale online experiment with over 8000 participants on Amazon MTurk, manipulating both the elicitation method and participants’ ex-ante beliefs about player 1’s choices via an information-provision treatment. In neutrally framed binary-choice games, a sequential Prisoners’ Dilemma and a mini-Ultimatum Game, we document that the strategy method does not appear to alter player 2’s preferences, i.e., their tendency to reward cooperation or reject unfair offers. However, it reduces the tendency to reward defection and reject fair offers, which we interpret as a reduction in mistakes.
本文研究了顺序游戏中的行为差异,即当选择是通过直接反应方法(即玩家观察那些更早采取行动的人所做的选择并做出单一选择)或策略方法(即他们根据之前采取行动的人所做的所有可能的选择而做出选择,而不管这些行动是否被采取)时产生的行为差异。我们在Amazon MTurk上对8000多名参与者进行了2  ×  2的大规模在线实验,通过信息提供处理操纵了启发方法和参与者对玩家1选择的事前信念。在中性框架的二元选择博弈中,连续囚徒困境和迷你最后通牒博弈,我们证明策略方法似乎不会改变参与人2的偏好,即他们倾向于奖励合作或拒绝不公平的提议。然而,它减少了奖励背叛和拒绝公平报价的倾向,我们将其解释为错误的减少。
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引用次数: 0
Auction design with ambiguity: Optimality of the first-price auction 模棱两可的拍卖设计:首价拍卖的最优性
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.1016/j.geb.2026.02.001
Sung-Ha Hwang , Youngwoo Koh , Sosung Baik
We study the optimal auction design problem when bidders are ambiguity averse and follow the max-min expected utility model. Each bidder’s set of priors consists of beliefs that are close to the seller’s belief, where “closeness” is defined by a divergence. For a given allocation rule, we show that optimal transfers belong to a specific class of transfers, termed win-lose dependent transfers, in which bidders’ transfers upon winning and losing depend only on their own types but not on their opponents’ type reports. This result effectively reduces the infinite-dimensional problem of identifying an optimal transfer function into a two-dimensional problem of determining two constants-one for winning and another for losing. Solving this reduced problem, we show that among efficient mechanisms without transfers to losing bidders, the first-price auction is optimal, thereby outperforming other auction formats such as the second-price auction. We also discuss how the structure of the set of priors is related to the revenue ranking between the first- and second-price auctions.
研究了竞标者模糊厌恶并遵循最大-最小期望实用新型的最优拍卖设计问题。每个竞标者的先验集合由与卖者的信念接近的信念组成,其中“接近”是由分歧来定义的。对于给定的分配规则,我们证明了最优转移属于一类特定的转移,称为输赢依赖转移,其中竞标者的输赢转移仅取决于他们自己的类型,而不取决于对手的类型报告。这一结果有效地将识别最优传递函数的无限维问题简化为确定两个常数的二维问题-一个用于获胜,另一个用于失败。通过解决这一简化问题,我们证明了在没有转移给失败竞标者的有效机制中,首价拍卖是最优的,因此优于其他拍卖形式,如第二价拍卖。我们还讨论了先验集的结构如何与第一和第二价格拍卖之间的收入排名相关。
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引用次数: 0
Transaction fee mechanisms robust to welfare-increasing collusion 交易费用机制对福利增加合谋的稳健
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.1016/j.geb.2026.02.005
Yotam Gafni , Aviv Yaish
To allocate transactions to blocks, cryptocurrencies use auction-esque transaction fee mechanisms (TFMs). A conjecture of Roughgarden (2024) asks whether there is a TFM that is incentive compatible for both users and the miner and is also resistant to a collusion that allows them to jointly increase overall welfare. We resolve this question in the negative for deterministic TFMs, through a comprehensive characterization of designs robust to this form of collusion. For randomized TFMs, we show limits on the efficiency they can achieve.
为了将交易分配到区块,加密货币使用拍卖式交易费用机制(tfm)。Roughgarden(2024)的一个猜想是,是否存在一种对用户和矿工都具有激励兼容性的TFM,并且还能抵抗允许他们共同增加整体福利的共谋。我们通过对这种形式的合谋稳健的设计的全面表征,以否定确定性tfm来解决这个问题。对于随机tfm,我们展示了它们可以达到的效率限制。
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引用次数: 0
Algorithmic collusion and a folk theorem from learning with bounded rationality 算法合谋与有限理性学习中的一个民间定理
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2025-12-04 DOI: 10.1016/j.geb.2025.11.012
Álvaro Cartea , Patrick Chang , José Penalva , Harrison Waldon
We prove a Folk theorem when players with bounded rationality learn as they play a repeated potential game. We use a dynamic generalization of smooth fictitious play with bounded m-recall strategies to model learning with bounded rationality that is consistent with learning by algorithms. In a repeated potential game with perfect monitoring, we use this learning model to show that for any feasible and individually rational payoff profile, if players have sufficient recall, are sufficiently patient, and best respond with sufficiently few mistakes, then the players have a non-zero probability of learning an m-recall strategy profile that achieves an average payoff close to the specified payoff profile for an appropriate continuation game. Moreover, the strategy profile learned is an m-recall ϵ-subgame perfect equilibrium of the repeated game. This finding demonstrates that competition authorities are correct in their concern about algorithmic collusion.
当具有有限理性的玩家在重复的潜在博弈中学习时,我们证明了Folk定理。我们使用有界m-recall策略的光滑虚拟游戏的动态泛化来模拟具有有限理性的学习,这与算法学习一致。在一个具有完美监控的重复潜在博弈中,我们使用这个学习模型来证明,对于任何可行的和个人理性的收益配置,如果玩家有足够的回忆,足够的耐心,并且以足够少的错误做出最佳反应,那么玩家学习m-recall策略配置的概率是非零的,该策略的平均收益接近于适当的延续博弈的指定收益配置。此外,学习到的策略轮廓是一个m-recall ϵ-subgame重复博弈的完美均衡。这一发现表明,竞争监管机构对算法合谋的担忧是正确的。
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引用次数: 0
Privately designed correlated equilibrium 私人设计的相关均衡
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-02-03 DOI: 10.1016/j.geb.2026.01.010
Guilherme Carmona, Krittanai Laohakunakorn
We consider a setting where each player of a simultaneous-move game privately designs an information structure before playing the game. One of these information structures is chosen at random to determine the distribution of the private messages that players receive. These messages allow players to correlate their actions; however, their private design implies a push from correlated to Nash equilibria. Indeed, the sequential equilibrium payoffs of the extensive-form game with privately designed information structures are correlated equilibrium payoffs of the underlying simultaneous-move game, but not all correlated equilibrium payoffs are sequential equilibrium payoffs. In generic 2-player games, the latter are specific convex combinations of two Nash equilibrium payoffs.
我们考虑这样一种设置,即同时移动游戏的每个玩家在玩游戏之前都私下设计了一个信息结构。随机选择其中一种信息结构来决定玩家收到的私人信息的分布。这些信息让玩家能够将自己的行动联系起来;然而,他们的私人设计暗示了从相关到纳什均衡的推动。的确,具有私人设计的信息结构的泛化博弈的顺序均衡收益是潜在的同时移动博弈的相关均衡收益,但并非所有相关均衡收益都是顺序均衡收益。在一般的2人博弈中,后者是两个纳什均衡收益的特定凸组合。
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引用次数: 0
Algorithms and complexity for computing Nash equilibria in adversarial team games 对抗团队博弈中计算纳什均衡的算法和复杂度
IF 1 3区 经济学 Q3 ECONOMICS Pub Date : 2026-03-01 Epub Date: 2026-01-25 DOI: 10.1016/j.geb.2026.01.006
Ioannis Anagnostides , Fivos Kalogiannis , Ioannis Panageas , Emmanouil-Vasileios Vlatakis-Gkaragkounis , Stephen Mcaleer
Adversarial team games model multiplayer strategic interactions in which a team of identically-interested players is competing against an adversarial player in a zero-sum game. Such games capture many well-studied settings in game theory, such as congestion games, but go well-beyond to environments wherein the cooperation of one team—in the absence of explicit communication—is obstructed by competing entities; the latter setting remains poorly understood despite its numerous applications. Since the seminal work of Von Stengel and Koller (GEB ‘97), different solution concepts have received attention from an algorithmic standpoint. Yet, the complexity of the standard Nash equilibrium has remained open.
In this paper, we settle this question by showing that computing a Nash equilibrium in adversarial team games belongs to the class continuous local search (CLS), thereby establishing CLS-completeness by virtue of the recent CLS-hardness result of Rubinstein and Babichenko (STOC ‘21) in potential games. To do so, we leverage linear programming duality to prove that any ϵ-approximate stationary strategy for the team can be extended in polynomial time to an O(ϵ)-approximate Nash equilibrium, where the O( · ) notation suppresses polynomial factors. As a consequence, we show that the Moreau envelope of a suitable best response function acts as a potential under certain natural gradient-based dynamics.
对抗性团队游戏模拟了多人战略互动,在零和游戏中,由兴趣相同的玩家组成的团队与敌对玩家竞争。这类游戏抓住了博弈论中许多被充分研究过的场景,比如拥堵游戏,但它远远超出了一个团队的合作——在缺乏明确沟通的情况下——被竞争实体阻碍的环境;尽管后一种情况有许多应用,但人们对它的理解仍然很少。自Von Stengel和Koller的开创性工作(GEB ' 97)以来,从算法的角度来看,不同的解决方案概念受到了关注。然而,标准纳什均衡的复杂性仍然是开放的。在本文中,我们通过证明计算对抗团队博弈中的纳什均衡属于类连续局部搜索(CLS)来解决这个问题,从而利用Rubinstein和Babichenko (STOC ' 21)最近在潜在博弈中的CLS-硬度结果建立了CLS-完备性。为此,我们利用线性规划对偶性来证明团队的任何ϵ-approximate平稳策略都可以在多项式时间内扩展到O(λ)-近似纳什均衡,其中O( · )符号抑制了多项式因子。因此,我们证明了在某些基于自然梯度的动态下,合适的最佳响应函数的莫罗包络作为势。
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引用次数: 0
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Games and Economic Behavior
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