Littérature scientifique sur le sujet « Models of an economic agent »
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Articles de revues sur le sujet "Models of an economic agent"
Chen, Shu-Heng, Chia-Ling Chang et Ye-Rong Du. « Agent-based economic models and econometrics ». Knowledge Engineering Review 27, no 2 (26 avril 2012) : 187–219. http://dx.doi.org/10.1017/s0269888912000136.
Texte intégralDawid, Herbert, et Michael Neugart. « Agent-based Models for Economic Policy Design ». Eastern Economic Journal 37, no 1 (28 décembre 2010) : 44–50. http://dx.doi.org/10.1057/eej.2010.43.
Texte intégralFagiolo, G., et A. Roventini. « On the Scientific Status of Economic Policy : A Tale of Alternative Paradigms ». Voprosy Ekonomiki, no 6 (20 juin 2009) : 24–47. http://dx.doi.org/10.32609/0042-8736-2009-6-24-47.
Texte intégralRichmond, Peter, et Lorenzo Sabatelli. « Langevin processes, agent models and socio-economic systems ». Physica A : Statistical Mechanics and its Applications 336, no 1-2 (mai 2004) : 27–38. http://dx.doi.org/10.1016/j.physa.2004.01.007.
Texte intégralTsyplakov, Alexander A. « Agent-Based Modeling of Spatial Economic Systems : а Review ». Journal of Siberian Federal University. Humanities & ; Social Sciences 14, no 12 (décembre 2021) : 1910–19. http://dx.doi.org/10.17516/1997-1370-0869.
Texte intégralBragin, Alexey. « Algorithm for Generating Random Vectors in Economic models ». Artificial societies 19, no 1 (2024) : 0. http://dx.doi.org/10.18254/s207751800029906-5.
Texte intégralTrinidad Segovia, Juan E., Fabrizio Di Sciorio, Raffaele Mattera et Maria Spano. « A Bibliometric Analysis on Agent-Based Models in Finance : Identification of Community Clusters and Future Research Trends ». Complexity 2022 (15 septembre 2022) : 1–11. http://dx.doi.org/10.1155/2022/4741566.
Texte intégralWolf, Sarah, Jean-Philippe Bouchaud, Federico Cecconi, Silvano Cincotti, Herbert Dawid, Herbert Gintis, Sander van der Hoog et al. « Describing economic agent-based models – Dahlem ABM documentation guidelines ». Complexity Economics 2, no 1 (1 janvier 2013) : 63–74. http://dx.doi.org/10.7564/13-coec12.
Texte intégralMcAdams, David. « The Blossoming of Economic Epidemiology ». Annual Review of Economics 13, no 1 (5 août 2021) : 539–70. http://dx.doi.org/10.1146/annurev-economics-082120-122900.
Texte intégralIRLE, ALBRECHT, JONAS KAUSCHKE, THOMAS LUX et MISHAEL MILAKOVIĆ. « SWITCHING RATES AND THE ASYMPTOTIC BEHAVIOR OF HERDING MODELS ». Advances in Complex Systems 14, no 03 (juin 2011) : 359–76. http://dx.doi.org/10.1142/s0219525911002949.
Texte intégralThèses sur le sujet "Models of an economic agent"
Teglio, Andrea. « From agent-based models to artificial economies ». Doctoral thesis, Universitat Jaume I, 2011. http://hdl.handle.net/10803/83303.
Texte intégralŠalamon, Tomáš. « Development of Agent-based Models for Economic Simulation ». Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77101.
Texte intégralJiang, Wei. « Essays on fiscal policy in heterogeneous agent models ». Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4148/.
Texte intégralSilvestre, Joao Alexandre Parreira. « Agent-Based models in macroeconomics ». Doctoral thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20604.
Texte intégralA crise financeira de 2007/2008 desencadeou uma onda de críticas à teoria económica. Ataques baseados em quatro críticas principais: os economistas não terem previsto a maior crise desde a Grande Depressão; as autoridades deixarem formar bolhas sem controlo; o falhanço da supervisão bancária; e os modelos usados serem desfasados da realidade. No caso dos modelos, o alvo principal são os modelos DSGE (dinâmicos, estocásticos e de equilíbrio geral) e duas das suas hipóteses simplificadoras: o agente representativo e a racionalidade. As economias são realidades complexas, não-lineares e heterogéneas, e o recurso a métodos computacionais pode ser uma alternativa para ultrapassar as limitações dos modelos tradicionais. O objectivo desta tese é alargar a aplicação dos modelos de agentes em Macroeconomia com três exemplos distintos. O primeiro é um modelo de crescimento endógeno, de gerações sobrepostas, em que a decisão dos agentes sobre estudar é baseada na satisfação e na influência dos seus pares. É usado para testar os efeitos de longo prazo do paradoxo de Easterlin, que sugere que a satisfação e o rendimento não têm uma relação linear. Verifica-se que, no cenário de Easterlin, o crescimento é menor do que no cenário base onde os agentes atribuem igual importância ao rendimento absoluto e relativo. O segundo modelo visa avaliar o contágio dos defaults da dívida pública e a forma como as estratégias dos governos afetam o seu aparecimento e propagação. As simulações mostram que os países mais gastadores e com menor aversão ao risco tendem a entrar mais vezes em default e que políticas monetárias muito expansionistas podem originar fenómenos de risco moral. No terceiro modelo, estudamos o fenómeno da ‘fuga de cérebros’ e as consequências no crescimento económico. Concluímos que o efeito positivo do brain drain na acumulação de capital humano depende fortemente da probabilidade de emigrar.
The 2007/2008 financial crisis triggered a wave of criticism of the economic theory. These attacks are based in four main critics: economists had not foreseen the biggest crisis since the Great Depression; authorities let bubbles form without control; weak banking supervision; and the models used in macroeconomic policy being out of touch with reality. In the particular case of the macroeconomic models, the target are the DSGE models (dynamic, stochastic and general equilibrium) and their two simplifying hypotheses: the representative agent and rationality. Economies are complex realities, with nonlinearities and heterogeneities, and computational economics can be an advantageous alternative to overcome the shortcomings of the traditional models. The aim of this thesis is to extend the application of agent-based models to macroeconomic topics in three distinct models. The first one is an endogenous growth model, in an overlapping generations environment, in which the agents' individual decision to study is based on the satisfaction of their peers. It is used to evaluate the long-term effects of the Easterlin paradox, which states that satisfaction and income have a non-linear relation. The second model is used to study sovereign default contagion in order to assess how different government strategies affect default and propagation across countries. Simulations showed that high spending and low risk aversion levels are associated to a high prevalence of default and that monetary stimulus can create moral hazard problems. In the third model, we study the brain drain phenomenon and its economic growth effects. We conclude that beneficial brain hypothesis depend heavily on emigration probability.
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Wan, Hakman Alberick. « On the agent market model of stock markets ». Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288016.
Texte intégralBanerjee, Anindya. « Information and contracts : a study of principal-agent relationships ». Thesis, University of Oxford, 1987. http://ora.ox.ac.uk/objects/uuid:62b32d23-b43f-4a1a-a4e0-8185e3104ecd.
Texte intégralSafarzynska, Karolina, Roy Brouwer et Marjan Hofkes. « Evolutionary modelling of the macro-economic impacts of catastrophic flood events ». Elsevier, 2013. http://dx.doi.org/10.1016/j.ecolecon.2013.01.016.
Texte intégralRIZZATI, MASSIMILIANO CARLO PIETRO. « Heterogeneity in Space : An Agent-based Economic Geography model ». Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/241299.
Texte intégralThis dissertation wants to enrich the Economic Geography literature by investigating the case of heterogeneous agents operating under bounded rationality in complex spatial structures. In the first Chapter, I propose a flexible macroeconomic Agent-based model endowed with Households and Firms interacting on a given spatial network. The agents’ decision heuristics embed and reproduce the features usually employed in mainstream Economic Geography models, as relocation, migration, trade and transportation costs. This permits to check the emergence and stability of agglomerated configurations by the economic agents. The flexibility of the spatial structure, which consists in a network of locations provided in the initial calibration of the model, allows to check the results on a wide variety of spatial environments, including realistic ones. In the second Chapter, I extend the previous model for the analysis of Local policy. In this work I test different local policy measures under different theoretically-inspired scenarios which have been proven difficult to be compared in structures with multiple regions, bounded rationality and a dynamic setting. These include different forms of tax competition and of public spending. In the proposed extension Locations are treated as active agents and can set their local tax collection and revenues usage according to adaptive heuristics. Moreover, I test the same measures on an asymmetric and realistically calibrated spatial structure. While the results should be further refined before being taken as robust, the investigated policies seem to cause enhanced volatility of aggregate production and of unemployment rate. Changing the spatial structure affects the results.
Perry, Stanley Foster. « Distributed Economic Systems with Agents that Learn ». PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/1271.
Texte intégralTindall, Nathaniel W. « Analyses of sustainability goals : Applying statistical models to socio-economic and environmental data ». Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54259.
Texte intégralLivres sur le sujet "Models of an economic agent"
LeBaron, Blake, et Peter Winker, dir. Agent Based Models for Economic Policy Advice. Berlin, Boston : De Gruyter, 2008. http://dx.doi.org/10.1515/9783110508840.
Texte intégralBakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Moskva : Ėkonomika, 2008.
Trouver le texte intégralBakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Moskva : Ėkonomika, 2008.
Trouver le texte intégral1963-, Luna Francesco, et Stefansson Benedikt, dir. Economic simulations in Swarm : Agent-based modelling and object oriented programming. Boston : Kluwer Academic, 2000.
Trouver le texte intégralInternational Workshop on Agent-Based Approaches in Economic and Social Complex Systems (1st 2001 Matsue-shi, Japan). Agent-based approaches in economic and social complex systems. Amsterdam : IOS Press, 2002.
Trouver le texte intégralZhang, Weiying. A principal-agent theory of the public economy. Kowloon, Hong Kong : City University of Hong Kong, Department of Economics and Finance, 1997.
Trouver le texte intégral1963-, Luna Francesco, et Perrone Alessandro, dir. Agent-based methods in economics and finance : Simulations in Swarm. Boston : Kluwer Academic Publishers, 2002.
Trouver le texte intégralSanta Fe Institute (Santa Fe, N.M.), dir. Agent-based modeling : The Santa Fe Institute artificial stock market model revisited. Berlin : Springer, 2008.
Trouver le texte intégral1947-, Laffont Jean-Jacques, dir. The principal agent model : The economic theory of incentives. Cheltenham, UK : E. Elgar Pub., 2003.
Trouver le texte intégralThe representative agent in macroeconomics. London : Routledge, 1997.
Trouver le texte intégralChapitres de livres sur le sujet "Models of an economic agent"
Maialeh, Robin. « Who Are Agents in Agent-Based Economic Models ? » Dans Dynamic Models and Inequality, 67–81. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46313-7_4.
Texte intégralChakraborti, Anirban, et Guido Germano. « Agent-based models of economic interactions ». Dans Mathematical Modeling of Collective Behavior in Socio-Economic and Life Sciences, 3–29. Boston : Birkhäuser Boston, 2010. http://dx.doi.org/10.1007/978-0-8176-4946-3_1.
Texte intégralPage, Scott E. « Agent-Based Models ». Dans The New Palgrave Dictionary of Economics, 1–7. London : Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_1992-1.
Texte intégralPage, Scott E. « Agent-Based Models ». Dans The New Palgrave Dictionary of Economics, 107–13. London : Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_1992.
Texte intégralCristelli, Matthieu, Andrea Tacchella et Luciano Pietronero. « An Overview of the New Frontiers of Economic Complexity ». Dans Econophysics of Agent-Based Models, 147–59. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_8.
Texte intégralDawid, Herbert, Karl Doerner, Richard F. Hartl, Marc Reimann, Georg Dorffner, Thomas Fent, Markus Feurstein, Andreas Mild, Martin Natter et Alfred Taudes. « Neural Networks in Agent-Based Economic Modeling ». Dans Quantitative Models of Learning Organizations, 97–111. Vienna : Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-6158-6_7.
Texte intégralOsborne, Martin J., et Ariel Rubinstein. « A market with asymmetric information ». Dans Models in Microeconomic Theory, 203–14. 2e éd. Cambridge, UK : Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.14.
Texte intégralOsborne, Martin J., et Ariel Rubinstein. « A market with asymmetric information ». Dans Models in Microeconomic Theory, 203–14. 2e éd. Cambridge, UK : Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.14.
Texte intégralGallegati, Mauro. « The Crisis of Economics ». Dans Complex Agent-Based Models, 17–36. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93858-5_2.
Texte intégralSquartini, Tiziano, et Diego Garlaschelli. « Jan Tinbergen’s Legacy for Economic Networks : From the Gravity Model to Quantum Statistics ». Dans Econophysics of Agent-Based Models, 161–86. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_9.
Texte intégralActes de conférences sur le sujet "Models of an economic agent"
Černohorský, Jiří, Stanislav Šafránek et Kamila Štekerová. « Game Theory and Agent-Based Models in Epidemiology : Exploration of Strategies with NetLogo ». Dans Hradec Economic Days 2024, sous la direction de Jan Maci, Petra Maresova, Krzysztof Firlej et Ivan Soukal. University of Hradec Kralove, 2024. http://dx.doi.org/10.36689/uhk/hed/2024-01-009.
Texte intégralShvecov, Anatoly, Sergey Dianov et D. A. Zaripova. « Agent architecture implementation in models of socio-ecological-economic systems ». Dans DEFIN2020 : III International Scientific and Practical Conference. New York, NY, USA : ACM, 2020. http://dx.doi.org/10.1145/3388984.3390881.
Texte intégralWang, Chun, Weiming Shen et Hamada Ghenniwa. « Negotiation in Agent Based Manufacturing Scheduling Using Auction Models ». Dans ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80905.
Texte intégral« Two Modes of Scheduling in a Simple Economic Agent-Based Model ». Dans 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004032203030308.
Texte intégralYang, Zining. « Integrating Agent Learning with System Dynamics in an Agent-Based Model of Economic Development ». Dans CSS 2017 : CSSSA's Annual Conference on Computational Social Science. New York, NY, USA : ACM, 2017. http://dx.doi.org/10.1145/3145574.3145599.
Texte intégralEvseenko, Sergey, et Yurii Kupriyanov. « Modernization of Production Planning Methodology in the Context of Virtualization and Increasing Multi-Agent Meta-Environment ». Dans Proceedings of the Ecological-Socio-Economic Systems : Models of Competition and Cooperation (ESES 2019). Paris, France : Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200113.018.
Texte intégralBerg, D. B., O. M. Zvereva et Serik Akenov. « “Economic microscope” : The agent-based model set as an instrument in an economic system research ». Dans INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992203.
Texte intégralInchiosa, Mario E., et Bipin Chadha. « Role of Agent Based Financial Market Models in Global Product Development ». Dans ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49670.
Texte intégralZvereva, Olga, Irina Ershova, Sergey Goldstein, Elena Shangina et Nadezda Tebaikina. « Agent-based model implementing for investigation of economic agents’ behavior influence on autonomous community viability ». Dans INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081524.
Texte intégralZhang, Tong, et Yu Wu. « Supply uncertainty in commodity contracting : An agent-based model ». Dans 2014 International Conference on Behavior, Economic and Social Computing (BESC). IEEE, 2014. http://dx.doi.org/10.1109/besc.2014.7059525.
Texte intégralRapports d'organisations sur le sujet "Models of an economic agent"
Sprigg, James A., Richard J. Pryor et Craig Reed Jorgensen. Approach and development strategy for an agent-based model of economic confidence. Office of Scientific and Technical Information (OSTI), août 2004. http://dx.doi.org/10.2172/903423.
Texte intégralStermieri, Lidia, Tom Kober, Russell McKenna, Thomas J. Schmidt et Evangelos Panos. Socio-economic energy model for digitalization (SEED) overview design concept and details (ODD) protocol. Paul Scherrer Institute, PSI, décembre 2023. http://dx.doi.org/10.55402/psi:56617.
Texte intégralPeralta-Alva, Adrian, et Manuel S. Santos. Problems in the Numerical Simulation of Models with Heterogeneous Agents and Economic Distortions. Federal Reserve Bank of St. Louis, 2009. http://dx.doi.org/10.20955/wp.2009.036.
Texte intégralHorton, John. Large Language Models as Simulated Economic Agents : What Can We Learn from Homo Silicus ? Cambridge, MA : National Bureau of Economic Research, avril 2023. http://dx.doi.org/10.3386/w31122.
Texte intégralAcharya, Sushant, et Paolo Pesenti. Spillovers and Spillbacks. Federal Reserve Bank of New York, mars 2024. http://dx.doi.org/10.59576/sr.1089.
Texte intégralGrainger, Matthew, Simone Piras, Simone Righi, Marco Setti, Gavin Stewart et Matteo Vittuari. Integrated model of consumer behaviours in relation to food waste : Behavioural economics : D4.4 Linking Bayesian and agent-based models to assess consumer food waste. Netherlands : REFRESH, 2019. http://dx.doi.org/10.18174/477976.
Texte intégralPérez Montes, Carlos, Alejandro Ferrer, Gabriel Jiménez, Laura Álvarez Román, Henrique Basso, Beatriz González López, Sergio Mayordomo et al. Individual and sectoral analysis framework for the impact of economic and financial risks. Madrid : Banco de España, novembre 2023. http://dx.doi.org/10.53479/34812.
Texte intégralSadoune, Igor, Marcelin Joanis et Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, septembre 2023. http://dx.doi.org/10.54932/lqog8430.
Texte intégralAttansio, Orazio, et Debbie Blair. Structural modelling in policymaking. Centre for Excellence and Development Impact and Learning (CEDIL), novembre 2018. http://dx.doi.org/10.51744/cip9.
Texte intégralBurniaux, Jean-Marc, et Truong Truong. GTAP-E : An Energy-Environmental Version of the GTAP Model. GTAP Technical Paper, février 2002. http://dx.doi.org/10.21642/gtap.tp16.
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