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Open research questions in Auction Theory and Applications

103 gap statements mined from Auction Theory and Applications papers in our 4.5M-paper local library, which holds 1,063 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The paper identifies the challenge of understanding how intermediaries can use information to shape market competition. The authors note that the analysis is complex due to the need to model the behavior of multiple firms and consumers. The paper also highlights the challenge of developing a framework that can capture the impact of information on market outcomes.

    Market Segmentation Through Information · 2026 · DOI

  • Existing tournament literature does not consider cases where one player can choose the ability of another. The paper identifies a gap in the literature by studying the optimal design of a two-player Lazear-Rosen-style tournament. The paper fills this gap by providing a framework for designing a head start and payout ratio to ensure the manager hires the highest-ability agent.

    Tournaments with Managerial Discretion · 2026 · DOI

  • They suggest that, although vigilance is warranted, fears of widespread algorithm-driven collusion may be exaggerated.

    Online Optimization Algorithms in Repeated Price Competition: Equilibrium Learning and Algorithmic Collusion · 2026 · DOI

  • The results provide actionable guidance for market participants with limited information who lack resources for deploying sophisticated bidding algorithms, while offering market designers insight into how participants might deviate from recommended strategies.

    Beyond Truthful Reporting: Robust Strategies for Worst-Case Payoff Maximization in Large Markets · 2026 · DOI

  • The study highlights the lack of research on the impact of market volatility on the agents' performance in autonomous trading systems.

    Deviations from the Nash equilibrium in a two-player optimal execution game with reinforcement learning · 2026 · DOI

  • We leave it as a compelling open question to derive even stronger guarantees on mechanisms of the form M(ω, λ) when the underlying affine maximizer is known to achieve greater revenue than vanilla VCG. 3, but many open questions remain.

    Bicriteria Multidimensional Mechanism Design with Side Information · 2026 · DOI

  • Existing benchmarks lack authentic complexity and overemphasize open-domains. There is a growing gap between academic lab performance and practical deployment.

    Benchmarking Agents in Insurance Underwriting Environments · 2026 · DOI

  • The lack of elasticity in on-premise LLMaaS deployments makes it challenging to regulate user interactions. There is a need for a framework that translates raw hardware constraints into a manageable service currency.

    LLMaaS Pricing: Discovery through computational limits · 2026 · DOI

  • Future research could explore several important avenues: extending the RS framework to multibuyer or multi-item contexts to enhance market design insights, integrating dynamic learning or data-driven updates for the reference distribution to blend robustness with adaptability, and applying RS principles to other operational areas like inventory management or platform design to expand its relevance and utility.

    From Optimization to Satisficing: Robust Screening under Distributional Ambiguity · 2026

  • The lack of a closed-form bid-ask spread and welfare decomposition for the Glosten-Milgrom 1985 model under binary-symmetric-channel privacy noise. The need to extend the privacy-subsidy concept to discrete two-state microstructure.

    The Privacy Subsidy in Glosten-Milgrom: Bid-Ask Spread and Welfare under Flip-Noise Direction Observation · 2026

  • The paper notes that leniency applications have recently decreased, highlighting the need for alternative methods for detecting collusion. The paper seeks to address this gap by surveying the findings of previous work on detecting collusion.

    Detecting collusion in public procurement: lessons from data-driven screening tools · 2026 · DOI

  • 62 E Further Discussions In this section, we provide more discussions about this research and discuss the most significant open problems inspired. An open problem is how to quickly generate samples that do not rely on the past samples w.

    Learning Truthful Mechanisms without Discretization · 2026 · DOI

  • The paper identifies the gap in existing autobidding methods, which do not account for uncertainty in CTR and CVR predictions. The authors propose a robust autobidding method to address this gap.

    Robust Autobidding for Noisy Conversion Prediction Models · 2026 · DOI

  • Future research can explore the application of the proposed framework to other contexts. Future research can investigate the potential biases in the data and their impact on the results. Future research can develop more comprehensive models to capture the complexities of real-world scenarios.

    Aggregation Rules and Dynamic Weight Optimization in Multi-Source Evaluation Mechanisms: An Institutional Analysis of Ranking Robustness in Competitive Markets · 2026 · DOI

  • There is a gap in existing studies, which mainly focus on optimizing single evaluation criteria or examining sensitivity under fixed weighting schemes. There is limited institutional comparison of how alternative aggregation rules transmit volatility and induce ranking reversals.

    Aggregation Rules and Dynamic Weight Optimization in Multi-Source Evaluation Mechanisms: An Institutional Analysis of Ranking Robustness in Competitive Markets · 2026 · DOI

  • The paper identifies the challenge of developing pricing algorithms using observational posted-price data, where the customers' responses to alternative prices are unknown. The paper addresses the challenge of optimizing the revenue curve produced by the boosted tree model. The paper notes the difficulty of capturing nonlinear relationships between covariates in the data using logistic regression.

    Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data · 2026 · DOI

  • The gap is that these mechanisms may not preserve every decision-relevant economic fact at lower cost.

    PRETIUM Market: The Economics of Cognitive Capacity · 2026 · DOI

  • 03061 (a three-player game in which platform ranking and seller presentation independently exploit agent biases, producing super-additive consumer harm more than double the independent case, and evading antitrust because no agreement is required).

    Who Does Your Shopping Agent Work For? Where the hype stands against what is delivered, why the neutral agent is a false assumption, and who controls the resulting chokepoint · 2026 · DOI

  • The lack of understanding of the effect of arbitrage activity on liquidity providers' profits.

    Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms · 2026 · DOI

  • Most existing literature focuses on static effects and does not adequately address the dynamic impact of fees from arbitrageurs over time. The paper identifies a gap in the literature regarding the dynamic impact of fees from arbitrageurs over time.

    Impermanent Loss Conditions: An Analysis of Decentralized Exchange Platforms · 2026 · DOI

  • Outcome-only evaluation can certify economically unsafe agents. The existing evaluation paradigms do not account for the importance of preserving discipline stability.

    When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State · 2026

  • This paper studies the Hybrid Liquidity-Collateral Pool (HLCP), a stylized redesign of automated market making in which only a fraction of capital remains continuously exposed to the active constant-product curve. The central observation is geometric: in a CPMM, execution slippage and marginal-price deviation are distinct objects, and the latter remains the relevant quantity for adverse selection.

    Bounding LVR in AMMs via Secant-Tangent Divergence and Collateralized Liquidity Scaling · 2026

  • Examining the impact of information design on market outcomes in other settings - Investigating the role of information design in shaping competition in digital…

    Market Segmentation Through Information · 2026 · DOI

  • Analyzing asymmetric channels. Extending the results to other microstructure models. Applying the results to real-world privacy-preserving exchange mechanisms.

    The Privacy Subsidy in Glosten-Milgrom: Bid-Ask Spread and Welfare under Flip-Noise Direction Observation · 2026

  • Further analysis of the CMRA's strategic bidding and efficiency. Examination of the CMRA's performance in different scenarios and auction formats.

    The Combinatorial Multi-Round Ascending Auction · 2026 · DOI

Most-cited papers in Auction Theory and Applications

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Open questions raised by papers listed on this page include: (1) They suggest that, although vigilance is warranted, fears of widespread algorithm-driven collusion may be exaggerated (“Online Optimization Algorithms in Repeated Price Competition: Equilibrium…”, 2026); (2) The study highlights the lack of research on the impact of market volatility on the agents' performance in autonomous trading systems (“Deviations from the Nash equilibrium in a two-player optimal execution game…”, 2026); (3) The lack of elasticity in on-premise LLMaaS deployments makes it challenging to regulate user interactions (“LLMaaS Pricing: Discovery through computational limits”, 2026); (4) Future research can explore the application of the proposed framework to other contexts (“Aggregation Rules and Dynamic Weight Optimization in Multi-Source Evaluation…”, 2026); (5) The paper identifies the challenge of developing pricing algorithms using observational posted-price data, where the customers' responses to alternative prices are unknown (“Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data”, 2026). 103 gap statements have been mined from Auction Theory and Applications papers in our 4.5M-paper local library, which holds 1,063 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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