282 papers
Econ — Th explores the theoretical foundations of economics, where researchers use mathematical models to understand how markets function, how people make decisions, and what drives complex financial systems. This field moves beyond simple data collection to build the logical frameworks that explain why economies grow, stagnate, or face crises, offering a deeper look at the invisible rules that shape our daily lives.
On Gist.Science, we process every new preprint in this category directly from arXiv as soon as it appears. Our team transforms these dense academic manuscripts into accessible, plain-language summaries alongside detailed technical overviews, ensuring that both experts and curious readers can grasp the latest theoretical breakthroughs without getting lost in jargon.
Below you will find the most recent additions to our collection, featuring the newest theoretical insights shaping the future of economic thought.
This paper proposes a slot-based dynamic system optimum mechanism for bottleneck scheduling that uses coarse preference reporting and capacity shadow price tolls to achieve approximate strategyproofness and efficiency, demonstrating that both misreporting incentives and efficiency losses decrease quadratically as the time slot width narrows.
This paper investigates a financial variant of online weighted packet scheduling where packet values decay over time, demonstrating the suboptimality of existing methods and introducing novel deterministic and randomized algorithms that achieve superior competitive ratios across various discount rates.
This paper analyzes a game where two players strategically select signal-to-noise ratios to influence a receiver's assessment, demonstrating that the problem reduces to an infinite game on a square with a complete equilibrium solution and proposing three generalizations.
This paper introduces deep projections of indifference and offer hypersurfaces to quantify their relative curvature and applies these geometric insights to establish the local nature, sufficiency, and necessity of the Cass criterion in consumption-loan overlapping generations economies with unbounded demographic and endowment dynamics.
This paper analyzes information disclosure policies in group contests with best-shot effort aggregation and private entry values, finding that while disclosure always reduces aggregate investment in individual contests, within-group disclosure unambiguously increases it in group settings, whereas full disclosure yields ambiguous effects.
This paper introduces a scale-relative formalism for replicator-mutator dynamics that bridges descriptive social science and normative ethics by modeling political legitimacy as survival probability and deriving "ought" claims as policies minimizing expected friction, thereby offering a falsifiable framework for consent-based metaethics grounded in independent derivation from social contract theory.
This paper establishes the continuity of equilibrium correspondences on a dense subset of infinite-dimensional Bochner and Gel'fand economies modeled on Banach lattices, providing a unified framework that extends classical results to diverse economic models without requiring differentiability assumptions.
This paper introduces and analyzes the concept of Cross-Validation Equilibrium, a strategic framework where players delegate belief formation to machine learning agents that select predictive models based on endogenous training data to minimize out-of-sample error, thereby influencing equilibrium outcomes in games like jury voting and speculative betting.
This paper demonstrates that while tolls alone suffice when agents differ in value for only one good, a welfare-maximizing designer should optimally employ damages (such as quality reductions or delays) alongside tolls to screen agents when their valuations for both goods are heterogeneous and positively affiliated.
This paper introduces a novel framework for -common knowledge applicable to general probability spaces and provides quantitative extensions of Aumann's Agreement Theorem and related results to settings involving noisy communication and random variables.