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arXiv:2602.20518v1 Announce Type: new Abstract: The long-standing unitary-actor assumption in strategy research -- treating firms as monolithic entities with coherent preferences -- misses that organizations...
arXiv:2602.20581v1 Announce Type: new Abstract: We develop an empirical Bayes framework for experimental design that leverages information from prior related studies. When a researcher has...
arXiv:2602.20868v1 Announce Type: new Abstract: We explore stability and fairness considerations in decentralized networked markets with bilateral contracts, building on the trading networks framework [Hatfield...
arXiv:2602.20946v1 Announce Type: new Abstract: For millennia, human cognition was the primary engine of progress on Earth. As AI decouples cognition from biology, the marginal...
arXiv:2602.21091v1 Announce Type: new Abstract: Prediction markets suffer from reduced liquidity and price accuracy for long-horizon events due to the opportunity cost of committed capital....
arXiv:2602.20383v1 Announce Type: cross Abstract: Heterogeneous treatment effects (HTEs) are increasingly estimated using machine learning models that produce highly personalized predictions of treatment effects. In...
arXiv:2602.20415v1 Announce Type: cross Abstract: I prove that competitive market outcomes require computational intractability. If P = NP, firms can efficiently solve the collusion detection...
arXiv:2602.20856v1 Announce Type: cross Abstract: This paper develops a unified framework that links firm-level predictive signals, cross-asset spillovers, and the stochastic discount factor (SDF). Signals...
arXiv:2602.21125v1 Announce Type: cross Abstract: We generalize the seminal framework of Kyle (1985) to a many-asset setting, bridging the gap between informed-trading theory and modern...
arXiv:2207.01830v3 Announce Type: replace Abstract: We study the diffusion of a true and a false message (misinformation) when agents are biased and able to verify...
arXiv:2401.11046v3 Announce Type: replace Abstract: This paper proposes an information-based inference method for partially identified parameters in incomplete models that is valid both when the...
arXiv:2401.14395v2 Announce Type: replace Abstract: Control variables are routinely treated as exogenous, yet in many empirical settings they are themselves endogenous. This creates a dilemma:...
arXiv:2405.20912v4 Announce Type: replace Abstract: In airport operations, optimally using dedicated personnel for baggage handling tasks plays a crucial role in the design of resource-efficient...
arXiv:2409.09577v2 Announce Type: replace Abstract: We study policy counterfactuals that impose path restrictions on a policy instrument over a finite window. Under a sequential intervention...
arXiv:2410.04330v2 Announce Type: replace Abstract: This paper studies multi-horizon Granger causality using high-dimensional local projections in sparse Vector Autoregressive (VAR) systems. Since local projection coefficients...
arXiv:2412.10304v3 Announce Type: replace Abstract: A popular approach to perform inference on a target parameter in the presence of nuisance parameters is to construct estimating...
arXiv:2501.06873v2 Announce Type: replace Abstract: As economics scales, a key bottleneck is representing what papers claim in a comparable, aggregable form. We introduce evidence-annotated claim...
arXiv:2502.05920v2 Announce Type: replace Abstract: This paper studies the implementation of Bayes correlated equilibria in symmetric Bayesian games with nonatomic players, using direct information structures...
arXiv:2503.03996v2 Announce Type: replace Abstract: This paper examines bid requirements, where the government may cancel a procurement contract unless two or more bids are received....
arXiv:2504.18310v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to provide health advice, yet evidence on how their accuracy varies across languages,...
arXiv:2512.18342v3 Announce Type: replace Abstract: We study whether disruptions to preventive care during the first wave of the coronavirus disease 2019 pandemic affected subsequent acute...
Learn how a dolphin named Mimmo settled in Venice’s San Marco Basin, and why its greatest threat may be humans.
Äthiopien ist eines der einkommensschwächsten Länder der Erde - und neuerdings Elektroauto-Hotspot. In dem afrikanischen Land steigen die Zulassungszahlen für E-Autos kräftig an. (Source: Bloomberg)
US Defense Secretary Pete Hegseth has reportedly given AI company Anthropic until Friday to agree to allow its technology to be used for military applications.