Paper presents a model to measure economic growth and development.
problem Measuring relative economic growth of different systems.
method S-Shaped model with linear representation to indicate growth, development, or underdevelopment.
result Model accurately measures economic growth and development of regions and macro regions.
Study examines how taxes affect wealth inequality in economic models.
problem Reducing economic inequality in models of economic activity.
method Examined Artificial Chemistry models and various tax measures.
result Effective tax measures can reduce economic inequality.
The study applies Dimensional Analysis to the neoclassical economic growth model.
problem Inconsistency in the neoclassical economic growth model.
method Dimensional Analysis was used to evaluate and adjust the model.
result An adjustment to the neoclassical economic growth model is required to satisfy the principle of dimensional homogeneity.
Proposes a taxonomy for economic policies.
problem Lack of a standardized list of economic policies.
method Develops a tree taxonomy to categorize economic policies.
result Constructs an exhaustive list of economic policies.
Essay combines thermodynamics, economics, and geobiodynamics to model complex systems.
problem Understanding complex evolutionary systems in economics and geobiodynamics.
method Defines Roegenian Economy, links thermodynamics and economics, analyzes phase equilibrium, and discusses economic black holes.
result Roegenian economic systems are described as Carnot groups with phase equilibrium analysis.
Modeling business cycles via collective risk fluctuations in economic agents' risk space.
problem Understanding and predicting business cycles through economic agents' risk dynamics.
method Continuous numerical risk grades for economic agents, modeling collective economic variables and flows as functions of risk coordinates, deriving equations for their evolution.
result Business and credit cycles are explained as fluctuations of collective economic variables and their mean risks in the risk space of economic agents.
Developing an AI economist agent using RAG, knowledge graphs, and LLMs for economic scenario analysis.
problem Economic scenario analysis using large language models and knowledge graphs.
method Proposing an RAG-based AI economist framework that utilizes knowledge graphs and LLMs.
result Improves economic coherence and traceability in generated reports.
Model predicts real-time job applicant numbers for regional economic analysis.
problem Real-time economic analysis using alternative data.
method Mixed-Frequency Aggregate Learning (MF-AGL) model.
result Model accurately predicts regional labor market conditions and economic status changes.
Conventional economic analysis of stringent climate change mitigation policy generally concludes various levels of economic slowdown as a result of substantial spending on low carbon technology. Equilibrium economics however could not explain or predict the current economic crisis, which is of financial nature. Meanwhi…
Model estimates urban capabilities driving economic performance.
problem Estimating the drivers of urban economic complexity and their connection to performance.
method Derived a model to infer capabilities from employment data, statistically superior to alternatives.
result The derived model explains known urban scaling and economic complexity results and correlates with economic performance.
China's infrastructure investments fail to deliver economic growth, leading to fragility.
problem The myth that infrastructure investment leads to economic growth is debunked.
method Analysis of the largest dataset of infrastructure investment data in China.
result Infrastructure investments in China do not provide a positive risk-adjusted return.
Model shows economic growth without total wealth conservation.
problem Understanding economic growth without total wealth conservation.
method Kinetic wealth-exchange model with Monte Carlo and mean field approximation.
result Piketty's second law emerges as an emergent property.
Study uses Perelman and Ricci flow methods to analyze economic inequality.
problem Impact of socio-economic challenges and technological progress on economic inequality.
method Perelman model and Ricci flow methods.
result Technological innovations and social protection programs reduce inequality.
Economic systems are similar with physic systems for their large number of individuals and the exist of equilibrium. In this paper, we present a model applying the equilibrium statistical model in economic systems. Consistent with statistical physics, we define a series of concepts, such as economic temperature, econom…
Deep-MacroFin uses neural networks to solve complex economic models efficiently.
problem Solving high-dimensional partial differential equations in continuous time economics.
method Leverages deep learning, specifically Multi-Layer Perceptrons and Kolmogorov-Arnold Networks, optimized with HJB equations.
result Offers a more efficient solution (5imes less memory, 40imes fewer FLOPs) for 50D economic models. Economic factors significantly influence stock returns, as shown by attribution analysis.
problem The influence of economic factors on stock returns.
method Attribution model using five classic factors and new factors like Market Indices, Consumptions, and Oil Prices.
result Stock returns are exposed to economic news and priced based on risk exposure.
New framework for interpretable firm characteristics factors.
problem Creating statistically efficient and economically interpretable factors from firm characteristics.
method Grouping related characteristics and deriving one factor per group, combining economic intuition with data-driven clustering.
result Parsimonious, transparent factors outperform benchmarks in out-of-sample tests.
Money analyzed as a multidimensional tensor for better economic policy.
problem Economic complexity and policy responsiveness.
method Tensor analysis of money dynamics.
result Enhanced economic policy design and resilience.
Examines financial risks' impact on EU-15 economic growth.
problem The impact of financial risks on economic growth in EU-15.
method Panel estimated generalized least squares method with additional control variables.
result Financial risks significantly impact economic growth in EU-15.
The stock market has been known to form homogeneous stock groups with a higher correlation among different stocks according to common economic factors that influence individual stocks. We investigate the role of common economic factors in the market in the formation of stock networks, using the arbitrage pricing model …
A simpler measure of economic complexity derived from product diversity.
problem Economic growth theory's reliance on GDP as the sole indicator of a country's capabilities.
method Log Product Diversity (LPD) derived from a combinatorial model of production.
result LPD better predicts economic growth than conventional variables like GDP and human capital.
Current economic theories miss most of economic dynamics.
problem Accuracy of economic theories and policies depend on economic variables and processes.
method Identify and analyze overlooked economic variables and processes.
result Many economic variables and processes not accounted for in current theories.
Most of the econometric and econophysics models have been borrowed from the statistical physics, and as a cosequence, a new interdisciplinary science called econophysics has emerged. In this paper we planned to extend the analogy between different economic processes or phenomena and processes and phenomena from differe…
Study adds memory effect to Solow-Swan model for more accurate economic growth modeling.
problem Inaccuracies in classical Solow-Swan model in capturing long-term dynamics.
method Introduced fractional calculus with Caputo derivative into Solow-Swan framework.
result Fractional-order model shows significant impact on capital accumulation and stability.
Model shows how economic interactions and regulation affect wealth inequality.
problem Understanding how interactions and regulation impact wealth inequality.
method Agent-based model with multiplicative stochastic fluctuations and interactions.
result System evolves towards a limiting stationary distribution with a Pareto tail under strong global regulation.
The seriousness of the current crisis urgently demands new economic thinking that breaks the austerity vs. deficit spending circle in economic policy. The core tenet of the paper is that the most important problems that natural and social science are facing today are inverse problems, and that a new approach that goes …
New framework detects time-varying economic persistence.
problem Time-varying persistence in economic shocks.
method Localized regression techniques to identify evolving heterogeneity.
result Substantial persistence variations align with macroeconomic events.
Networks help map Roman economic complexity.
problem Mapping economic complexity in the Roman period.
method Using network models to visualize and quantify interactions.
result Network analysis reveals the complexity of Roman economic systems.
Second-order economic theory considers new variables to improve price volatility predictions.
problem Current economic models focus on first-order variables, missing second-order variables that affect price volatility.
method Introduces second-order economic theory with new variables composed of sums of squares of agents' transactions.
result Second-order economic theory complements first-order variables and introduces new macroeconomic variables.
The paper proposes a new model for predicting and analyzing economic variables.
problem Predicting and analyzing economic variables in developed regions.
method Time-varying parameter global vector autoregressive (TVP-GVAR) framework combined with machine learning models.
result The proposed model provides high precision out-of-sample predictions and novel insights into economic variable connectedness.
Modeling how network connectivity affects economic collapse and robustness.
problem Impact of network topology on systemic risk and collapse of complex economic systems.
method Proposed a model to study the effects of network structure on economic systems by varying connectivity.
result Emergent systemic risks arise with increased interconnections, leading to phase transitions and tipping points.
Generative Networks outperform traditional methods in PiT ESG generation.
problem Generating economic scenarios quickly and flexibly for sudden changes.
method Comparison of nonparametric, parametric, and generative models.
result Conditional Variational Autoencoder (CVAE) performs best.
The study explains economic recession through equilibrium models.
problem Understanding economic recession through equilibrium models.
method Developed theorems to describe equilibrium structure and applied to European economies.
result Characterized equilibrium states leading to economic recession.
LemonadeBench evaluates LLMs' economic intuition through a simulated lemonade stand.
problem Evaluating LLMs' economic understanding and decision-making in simple markets.
method Simulated lemonade stand business to test LLMs' long-term planning and profit maximization.
result Models achieve profitability but exhibit local rather than global optimization.
Interactive tools help teach economics online.
problem Teaching macroeconomic models online.
method Browser-based simulation toolkits.
result Intuitive approach to comparative statics.
Analyzes wage-price spiral and stagflation dynamics in economic models.
problem Understanding the formation of wage-price spirals and stagflation.
method Analytical solution to classical gravitation and price-wage spiral models.
result Elementary solution to rates of return differentiation in economic models.
LLMs can memorize economic data and recall exact values before their training cutoff.
problem Evaluating the trustworthiness of LLMs' economic forecasts during their training period.
method Demonstrated through counterfactual forecasting and analysis of LLMs' recall ability.
result LLMs have memorized economic and financial data, leading to recall-level accuracy before their knowledge cutoff.
The paper presents instructive interdisciplinary applications of constrained mechanics calculus in economics on a level appropriate for the undergraduate physics education. The aim of the paper is: 1. to meet the demand for illustrative examples suitable for presenting the background of the highly expanding research fi…
Study improves stock return prediction by switching between economic states, outperforming traditional methods.
problem Improving stock return prediction across economic regimes.
method State-switching specification using the slope of the yield curve, with an Aligned Economic Index.
result The Aligned Economic Index outperforms traditional predictors, especially during market turbulence.
Study shows inefficiency in economic model leads to higher consumption but lower utility.
problem Effects of information inefficiency on economic activity and consumer welfare.
method Employed two approaches to analyze statistical vs classical economic equilibria.
result Inefficiency increases consumption set but decreases expected utility, contrary to rational consumer behavior.
Study examines how governance, corruption, and R&D affect economic development.
problem The impact of corruption and governance on economic development.
method General equilibrium model with heterogeneous agents and a government, including corruption as a fraction of tax revenues.
result Redistribution and innovation-led strategies can mitigate the negative effects of corruption on economic development.
This study analyzes Peru's export performance using a gravity model.
problem Understanding factors affecting Peru's export performance.
method Augmented gravity model of trade, panel data analysis.
result Positive coefficients for economic size, negative for distance.
Mean Field Games applied to finance and economics.
problem Modeling large populations in financial and economic systems.
method Mean Field Game theory applied to specific financial and economic scenarios.
result New applications in bitcoin mining, energy markets, and macro-economics.
The paper validates the intensity of use model for Iran's steel consumption using economic activity indexes.
problem Validating the intensity of use model for Iran's steel consumption.
method Used support vector machines and economic activity indexes to model and predict steel consumption.
result Iran's steel consumption is strongly correlated with its economic activity.
Our study shows that many firms would accumulate at zero output level (namely, Bankruptcy status) if a perfectly competitive market reaches full employment (namely, those people who should obtain employment have obtained employment). As a result, appearance of economic crisis is determined by two points; that is, (a). …
Quantum approach models economic decisions with probabilistic and dynamic probabilities.
problem Traditional economic models fail to explain recent financial crises.
method Develops a quantum probabilistic framework for economics.
result Quantum circuits can model cognitive phenomena like preference reversal.
A result about projections of Gibbs measures from a particular class arising in economic modeling is proved.
A new model connects stochastic effects to economic inequality.
problem Understanding economic inequality through stochastic effects.
method Introducing stochastic effects into a kinetic model based on Langevin and Fokker-Planck formalisms.
result Positive correlations between Gini index and total wealth indicate growing inequality.