Tootfinder

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…

From The Conversation - Canada
What is modern monetary theory? An economist explains how it could help Canada
Few words spark more anxiety in public debate than “national debt” and “government deficit.” National debt is the total amount of money the government owes, accumulated over years of running deficits. Government deficit is when the government spends more money than it collects in taxes and other revenues.

What is modern monetary theory? An economist explains how it could help Canada
A heterodox school of economic thought known as modern monetary theory has significant implications for how Canadians understand public debt and deficit spending.

There’s a second theory, not mutually exclusive, about the frozen job market having to do with resentment from corporate leadership about the sudden surge in labor power in 2020. Someone (maybe @…?) referred to this as a “captial strike.”
I’m not sure how much economic sense that theory makes — but I am sure that corporate leadership is often impulsive, petty, and irrational, and frequently does things that make no economic sense. I can’t elucidate the theory well, but it’s thing I’m keeping my eye on.

This https://arxiv.org/abs/2504.19134 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Hua-Chen New Theory of Economic Optimization
Between 1957-1985, Chinese mathematician Loo-Keng Hua pioneered economic optimization theory through three key contributions: establishing economic stability's fundamental theorem, proving the uniqueness of equilibrium solutions in economic systems, and developing a consumption-integrated model 50 days before his death. Since 1988, Mu-Fa Chen has been working on Hua's theory. He introduced stochastics, namely Markov chains, to economic optimization theory. He updated and developed Hua's model a…

Consideraciones para una formulaci\'on Termodin\'amica Neo-Gibbsiana aplicada a sistemas sociales
Victor Alcides Guzm\'an Rodr\'iguez, Esneiber Hibraim Solano Herrera
https://arxiv.org/abs/2506.01794

Consideraciones para una formulación Termodinámica Neo-Gibbsiana aplicada a sistemas sociales
This work proposes a first approach towards a neo-Gibbsian thermodynamic theory for social systems, grounded in quantifiable economic and cultural parameters, while deliberately avoiding direct analogies with classical thermodynamic equations of state. Building on previous thermodynamic approaches to economic modeling, we introduce a conceptual basis for defining intensive variables capable of characterizing equilibrium states and evolutionary dynamics in societies. Particular attention is give…

Rather than assuming the war can be ended through a comprehensive battlefield victory or a negotiated compromise,
Ukraine and its allies must plan to build a viable, sovereign, and secure state under constant military pressure.
This reality demands a redefinition of what a successful outcome looks like.
In this context, the objective should not be to defeat Russia outright or expect its regime to end the war because of economic or diplomatic pressure
-- but to syste…

Ukraine’s New Theory of Victory Should be Strategic Neutralization
By ensuring that Russia’s war is operationally pointless, Ukraine can survive, adapt, and achieve success, no matter how prolonged the war.

This https://arxiv.org/abs/2505.14547 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
Game-theoretic algorithms are commonly benchmarked on recreational games, classical constructs from economic theory such as congestion and dispersion games, or entirely random game instances. While the past two decades have seen the rise of security games -- grounded in real-world scenarios like patrolling and infrastructure protection -- their practical evaluation has been hindered by limited access to the datasets used to generate them. In particular, although the structural components of the…

The Theory of Economic Complexity
C\'esar A. Hidalgo, Viktor Stojkoski
https://arxiv.org/abs/2506.18829 https://arxiv.org/pdf/250…

The Theory of Economic Complexity
Economic complexity estimates rely on eigenvectors derived from matrices of specialization to explain differences in economic growth, inequality, and sustainability. Yet, despite their widespread use, we still lack a principled theory that can deduce these eigenvectors from first principles and place them in the context of a mechanistic model. Here, we calculate these eigenvectors analytically for a model where the output of an economy in an activity increases with the probability the economy i…

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
Eduardo Coltre Ferraciolli, Tanya V. Ara\'ujo
https://arxiv.org/abs/2506.22318

Agent-based modeling and the sociology of money: some suggestions for refining monetary theory using social simulation
The institution of money can be seen as a foundational social mechanism, enabling communities to quantify collectively regulate economic processes. Money can be said, indeed, to constitute the micro-macro link in economics. This paper reviews influential views on the nature of money in economics and sociology, contrasting them to the relatively limited findings of recent agent-based models of "the emergence of money". Noting ample room for novel combinations of sociological and formal methods t…

Enterprise value, economic and policy uncertainties: the case of US air carriers
Bahram Adrangi, Arjun Chatrath, Madhuparna Kolay, Kambiz Raffiee
https://arxiv.org/abs/2506.07766 …

Enterprise value, economic and policy uncertainties: the case of US air carriers
The enterprise value (EV) is a crucial metric in company valuation as it encompasses not only equity but also assets and liabilities, offering a comprehensive measure of total value, especially for companies with diverse capital structures. The relationship between economic uncertainty and firm value is rooted in economic theory, with early studies dating back to Sandmo's work in 1971 and further elaborated upon by John Kenneth Galbraith in 1977. Subsequent significant events have underscored t…

I’m not your go-to for deep economic theory. I'm just your regular Fediverse baby anarchist, who has a huge crush on Rudolf Rocker's syndicalist takes!
But what I do know is that I don’t need bosses or rulers telling me how to live my life. We’re all capable of working together, making decisions as equals, and building something better without anyone lording over us.
I believe in solidarity and collective action. We deserve workplaces and communities where everyone has a …

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-…

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…

Machine Learning for Evolutionary Graph Theory
Guoli Yang, Matteo Cavaliere, Mingtao Zhang, Giovanni Masala, Adam Miles, Mengzhu Wang
https://arxiv.org/abs/2507.08363

Machine Learning for Evolutionary Graph Theory
The stability of communities - whether biological, social, economic, technological or ecological depends on the balance between cooperation and cheating. While cooperation strengthens communities, selfish individuals, or "cheaters," exploit collective benefits without contributing. If cheaters become too prevalent, they can trigger the collapse of cooperation and of the community, often in an abrupt manner. A key challenge is determining whether the risk of such a collapse can be detected in ad…

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…

A theory of Lending Protocols in DeFi
Massimo Bartoletti, Enrico Lipparini
https://arxiv.org/abs/2506.15295 https://arxiv.org/pdf/250…

A theory of Lending Protocols in DeFi
Lending protocols are one of the main applications of Decentralized Finance (DeFi), enabling crypto-assets loan markets with a total value estimated in the tens of billions of dollars. Unlike traditional lending systems, these protocols operate without relying on trusted authorities or off-chain enforcement mechanisms. To achieve key economic goals such as stability of the loan market, they devise instead trustless on-chain mechanisms, such as rewarding liquidators who repay the loans of under-…

The Pandora's Box Problem with Sequential Inspections
Ali Aouad, Jingwei Ji, Yaron Shaposhnik
https://arxiv.org/abs/2507.07508 https://

The Pandora's Box Problem with Sequential Inspections
The Pandora's box problem (Weitzman 1979) is a core model in economic theory that captures an agent's (Pandora's) search for the best alternative (box). We study an important generalization of the problem where the agent can either fully open boxes for a certain fee to reveal their exact values or partially open them at a reduced cost. This introduces a new tradeoff between information acquisition and cost efficiency. We establish a hardness result and employ an array of techniques in stochasti…

Research on the recommendation framework of foreign enterprises from the perspective of multidimensional proximity
Guoqiang Liang, Jiarui Xie, Mengxuan Li, Shuo Zhang
https://arxiv.org/abs/2506.17657

Research on the recommendation framework of foreign enterprises from the perspective of multidimensional proximity
As global economic integration progresses, foreign-funded enterprises play an increasingly crucial role in fostering local economic growth and enhancing industrial development. However, there are not many researches to deal with this aspect in recent years. This study utilizes the multidimensional proximity theory to thoroughly examine the criteria for selecting high-quality foreign-funded companies that are likely to invest in and establish factories in accordance with local conditions during …

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…

New allocation rule based on graph structures and their application to economic phenomena
Taiki Yamada, Taisuke Matsubae, Tomoya Akamatsu
https://arxiv.org/abs/2507.11808

New allocation rule based on graph structures and their application to economic phenomena
This study introduces the \emph{edge-based Shapley value}, a novel allocation rule within cooperative game theory, specifically tailored for networked systems, where value is generated through interactions represented by edges. Traditional allocation rules, such as the Shapley and Myerson values, evaluate player contributions based on node-level characteristics, or connected components. However, these approaches often fail to adequately capture the functional role of edges, which are crucial in…

Rational Miner Behaviour, Protocol Stability, and Time Preference: An Austrian and Game-Theoretic Analysis of Bitcoin's Incentive Environment
Craig Steven Wright
https://arxiv.org/abs/2506.20965

Rational Miner Behaviour, Protocol Stability, and Time Preference: An Austrian and Game-Theoretic Analysis of Bitcoin's Incentive Environment
This paper integrates Austrian capital theory with repeated game theory to examine strategic miner behaviour under different institutional conditions in blockchain systems. It shows that when protocol rules are mutable, effective time preference rises, undermining rational long-term planning and cooperative equilibria. Using formal game-theoretic analysis and Austrian economic principles, the paper demonstrates how mutable protocols shift miner incentives from productive investment to political…

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
Thermal Macroeconomics: An axiomatic theory of aggregate economic phenomena

The Post Science Paradigm of Scientific Discovery in the Era of Artificial Intelligence: Modelling the Collapse of Ideation Costs, Epistemic Inversion, and the End of Knowledge Scarcity
Christian William Callaghan
https://arxiv.org/abs/2507.07019

The Post Science Paradigm of Scientific Discovery in the Era of Artificial Intelligence: Modelling the Collapse of Ideation Costs, Epistemic Inversion, and the End of Knowledge Scarcity
This paper develops a theoretical and formal response to the collapse in the marginal cost of ideation caused by artificial intelligence (AI). In challenging the foundational assumption of knowledge scarcity, the paper argues that the key economic constraint is no longer the generation of ideas, but the alignment of ideation with the recursive structure of human needs. Building on previous work, we further develop Experiential Matrix Theory (EMT), a framework that models innovation as a recursi…