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The Economics and Game Theory of OSINT Frontline Photography: Risk, Attention, and the Collective Dilemma
Jonathan Teagan
https://arxiv.org/abs/2509.10548 https://

The Economics and Game Theory of OSINT Frontline Photography: Risk, Attention, and the Collective Dilemma
This paper develops an economic model of the Open Source Intelligence (OSINT) attention economy in contemporary armed conflict. We conceptualize attention (e.g. social media views, followers, likes) as revenue, and time and risk spent in analysis as costs. Using utility functions and simple game theoretic setups, we show how OSINT actors (amateurs, journalists, analysts, and state operatives) allocate effort to maximize net attention benefit. We incorporate strategic behaviors such as a first m…

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Ziyi Guo, Yan Wang
https://arxiv.org/abs/2508.08976 …

Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
Natural disasters such as hurricanes and wildfires increasingly introduce unusual disturbance on economic activities, which are especially likely to reshape commercial land use pattern given their sensitive to customer visitation. However, current modeling approaches are limited in capturing such complex interplay between human activities and commercial land use change under and following disturbances. Such interactions have been more effectively captured in current resilient urban planning the…

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
Jihun Lim, Sungwon Lee
https://arxiv.org/abs/2510.07338 https://

Techno-economic analysis of self-sustainable thermophotovoltaic systems for grid-scale energy generation
To facilitate the widespread adoption of renewable energy, dispatchable, zero-emission power sources are essential for grid stability. This work performs a comprehensive techno-economic analysis of a self-sustainable thermophotovoltaic (TPV) system, an architecture that integrates solar charging to function as a standalone power generation asset. Using theory-based models for air-bridge InGaAs and Si diode cells, our analysis reveals that while the system is not currently competitive from a pur…

Semi-discrete multi-to -one dimensional variational problems
Omar Abdul Halim, Daniyar Omarov, Brendan Pass
https://arxiv.org/abs/2508.09490 https://arxiv.…

Semi-discrete multi-to -one dimensional variational problems
We study a class of semi-discrete variational problems that arise in economic matching and game theory, where agents with continuous attributes are matched to a finite set of outcomes with a one dimensional structure. Such problems appear in applications including Cournot-Nash equilibria, and hedonic pricing, and can be formulated as problems involving optimal transport between spaces of unequal dimensions. In our discrete strategy space setting, we establish analogues of results developed for …

Anarcho-syndicalism is the belief that workers, as the fundamental producers of social value, must seize control of the means of production through direct action and autonomous organization. It rejects both capitalist private ownership and state-controlled systems, arguing instead for a decentralized federation of worker-managed industries. From my perspective, anarcho-syndicalism is not merely an economic strategy but a revolutionary theory of social transformation, one that places the work…

Crosslisted article(s) found for cs.GT. https://arxiv.org/list/cs.GT/new
[1/1]:
- Understanding Economic Tradeoffs Between Human and AI Agents in Bargaining Games
Crystal Qian, Kehang Zhu, John Horton, Benjamin S. Manning, Vivian Tsai, James Wexler, Nithum Thain

A Characterization Framework for Stable Sets and Their Variants
Athanasios Andrikopoulos, Nikolaos Sampanis
https://arxiv.org/abs/2508.09798 https://arxiv.…

A Characterization Framework for Stable Sets and Their Variants
The theory of optimal choice sets offers a well-established solution framework in social choice and game theory. In social choice theory, decision-making is typically modeled as a maximization problem. However, when preferences are cyclic -- as can occur in economic processes -- the set of maximal elements may be empty, raising the key question of what should be considered a valid choice. To address this issue, several approaches -- collectively known as general solution theories -- have been p…

Reducing Cartel Violence: The Mexican Dilemma Between Social and Security Spending
Rafael Prieto-Curiel, Dieter Grass, Stefan Wrzaczek, Gian Maria Campedelli, Gernot Tragler, Gustav Feichtinger
https://arxiv.org/abs/2508.06509

Reducing Cartel Violence: The Mexican Dilemma Between Social and Security Spending
Organised crime in Mexico threatens societal stability and public safety, driving pervasive violence and economic disruption. Despite security investments and social programs designed in part to reduce involvement in crime, cartel power and violence continue to persist. This study evaluates existing policies and introduces a novel framework using optimal control theory to analyse cartel dynamics. Specifically, by modelling resource allocation between security measures and social programs, we id…

Analysis of Solow-Swan model with nonlocal fractional derivative operator
MO Aibinu, KJ Duffy, S Moyo
https://arxiv.org/abs/2508.06883 https://arxiv.org/pd…

Analysis of Solow-Swan model with nonlocal fractional derivative operator
The Solow-Swan equation is a foundational model in the evolution of modern economic growth theory. It offers key insights into the long-term behaviour of capital accumulation and output. Since its inception, the model has served as a cornerstone for understanding macroeconomic dynamics and has inspired a vast body of subsequent research. However, traditional formulations of the Solow-Swan model rely on integer-order derivatives, which may not fully capture the memory and hereditary properties o…

Panel regression for the GDP of the Central and Eastern European countries using time-varying coefficients
Lesya Kolinets, Vygintas Gontis
https://arxiv.org/abs/2510.04211 https…

Panel regression for the GDP of the Central and Eastern European countries using time-varying coefficients
The integration of Central and Eastern European (CEE) countries into the European Economic Area serves as a valuable experiment for the regional economic development theory. The long-lasting convergence of these economies with more advanced Western Europe exhibits a few standard features and varying policies implemented. Even the Baltic countries, which started from very similar starting positions, demonstrate their unique trajectories of development. We employ a panel data regression model tha…

Coherent estimation of risk measures
Martin Aichele, Igor Cialenco, Damian Jelito, Marcin Pitera
https://arxiv.org/abs/2510.05809 https://arxiv.org/pdf/251…

Coherent estimation of risk measures
We develop a statistical framework for risk estimation, inspired by the axiomatic theory of risk measures. Coherent risk estimators -- functionals of P&L samples inheriting the economic properties of risk measures -- are defined and characterized through robust representations linked to $L$-estimators. The framework provides a canonical methodology for constructing estimators with sound financial and statistical properties, unifying risk measure theory, principles for capital adequacy, and prac…

A Solow-Swan framework for economic growth with memory effect
M. O. Aibinu, K. J. Duffy, S. Moyo
https://arxiv.org/abs/2508.20100 https://arxiv.org/pdf/250…

A Solow-Swan framework for economic growth with memory effect
The Solow-Swan equation is a cornerstone in the development of modern economic growth theory and continues to attract significant scholarly attention. This study incorporates memory effects into the classical Solow-Swan model by introducing a formulation based on the Caputo fractional derivative. A comparative analysis is conducted between the integer-order and fractional-order versions of the model to examine the influence of fractional dynamics on capital accumulation. The findings reveal tha…

A Dynamic, Signals-Based Reinterpretation of Microeconomic Theory
Sarang Shah
https://arxiv.org/abs/2508.20268 https://arxiv.org/pdf/2508.20268

A Dynamic, Signals-Based Reinterpretation of Microeconomic Theory
Economics has long been a science of static equilibria, in which time is a second-order rather than first-order concern. Without time, economic modelers may neglect or obscure the role of time-dependent phenomena, e.g. path-dependency, and limit their ability to compare agnostically the model results with empirical observations. In this article, I outline a dynamic, signals-based recipe for building microeconomic models from traditional static models. I demonstrate this recipe using a classic "…

Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
Giorgio Fabbri, Silvia Faggian, Salvatore Federico, Fausto Gozzi
https://arxiv.org/abs/2509.19909

Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
This survey collects, within a unified framework, various results (primarily by the authors themselves) on the use of Deterministic Infinite-Dimensional Optimal Control Theory to address applied economic models. The main aim is to illustrate, through several examples, the typical features of such models (including state constraints, non-Lipschitz data, and non-regularizing differential operators) and the corresponding methods needed to handle them. This necessitates developing aspects of the ex…

From Firms to Computation: AI Governance and the Evolution of Institutions
Michael S. Harre
https://arxiv.org/abs/2507.13616 https://…

From Firms to Computation: AI Governance and the Evolution of Institutions
The integration of agential artificial intelligence into socioeconomic systems requires us to reexamine the evolutionary processes that describe changes in our economic institutions. This article synthesizes three frameworks: multi-level selection theory, Aoki's view of firms as computational processes, and Ostrom's design principles for robust institutions. We develop a framework where selection operates concurrently across organizational levels, firms implement distributed inference via game-…

Modeling Social Systems: Transparency, Reproducibility, and Responsibility
Maximino Aldana, Roni Barak Ventura, Heather Z. Brooks, Philip S. Chodrow, Filipe Georgiou, Joseph Johnson, Kre\v{s}imir Josi\'c, Zachary P. Kilpatrick, Kath Landgren, Andrew Nugent, Maurizio Porfiri, Nancy Rodriguez, Pablo Su\'arez-Serrato, David White, Alexander Wiedemann, Sam Zhang

Modeling Social Systems: Transparency, Reproducibility, and Responsibility
Mathematical models of complex social systems can enrich social scientific theory, inform interventions, and shape policy. From voting behavior to economic inequality and urban development, such models influence decisions that affect millions of lives. Thus, it is especially important to formulate and present them with transparency, reproducibility, and humility. Modeling in social domains, however, is often uniquely challenging. Unlike in physics or engineering, researchers often lack controll…

From macro to micro: Economic complexity indicators for firm growth
Valerio De Stefano, Maddalena Mula, Manuel Sebastian Mariani, Andrea Zaccaria
https://arxiv.org/abs/2507.21754

From macro to micro: Economic complexity indicators for firm growth
A rich theoretical and empirical literature investigated the link between export diversification and firm performance. Prior theoretical works hinted at the key role of capability accumulation in shaping production activities and performance, without however producing product-level indicators able to forecast corporate growth. Building on economic complexity theory and the corporate growth literature, this paper examines which characteristics of a firm's export basket predict future performance…

Cognitive Castes: Artificial Intelligence, Epistemic Stratification, and the Dissolution of Democratic Discourse
Craig S Wright
https://arxiv.org/abs/2507.14218

Cognitive Castes: Artificial Intelligence, Epistemic Stratification, and the Dissolution of Democratic Discourse
Artificial intelligence functions not as an epistemic leveller, but as an accelerant of cognitive stratification, entrenching and formalising informational castes within liberal-democratic societies. Synthesising formal epistemology, political theory, algorithmic architecture, and economic incentive structures, the argument traces how contemporary AI systems selectively amplify the reasoning capacity of individuals equipped with recursive abstraction, symbolic logic, and adversarial interrogati…

From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
Zeqiang Zhang, Ruxin Chen
https://arxiv.org/abs/2507.18229

From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
The application of Reinforcement Learning (RL) to economic modeling reveals a fundamental conflict between the assumptions of equilibrium theory and the emergent behavior of learning agents. While canonical economic models assume atomistic agents act as `takers' of aggregate market conditions, a naive single-agent RL simulation incentivizes the agent to become a `manipulator' of its environment. This paper first demonstrates this discrepancy within a search-and-matching model with concave produ…

Exploring the relation between mathematical values and achievement among girls: A comparative analysis in single-sex vs. coeducational settings using TIMSS 2019 NZ data
Huayu Gao, Tanya Evans, Gavin T. L. Brown
https://arxiv.org/abs/2508.13528

Exploring the relation between mathematical values and achievement among girls: A comparative analysis in single-sex vs. coeducational settings using TIMSS 2019 NZ data
Grounded in the social cognitive career theory, this study investigates the influence of values on girls' mathematics achievement across socio-economic status (SES) settings, contrasting single-sex and coeducational schools. An analysis of variance (ANOVA) on 2019 TIMSS New Zealand data (N = 2,898) revealed that single-sex education was associated with enhanced girls' mathematical values in high-SES settings. However, its effect on translating these values into improved mathematics performance …

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- The Theory of Economic Complexity
C\'esar A. Hidalgo, Viktor Stojkoski
ht…