Literatura académica sobre el tema "Models of an economic agent"
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Artículos de revistas sobre el tema "Models of an economic agent"
Chen, Shu-Heng, Chia-Ling Chang y Ye-Rong Du. "Agent-based economic models and econometrics". Knowledge Engineering Review 27, n.º 2 (26 de abril de 2012): 187–219. http://dx.doi.org/10.1017/s0269888912000136.
Texto completoDawid, Herbert y Michael Neugart. "Agent-based Models for Economic Policy Design". Eastern Economic Journal 37, n.º 1 (28 de diciembre de 2010): 44–50. http://dx.doi.org/10.1057/eej.2010.43.
Texto completoFagiolo, G. y A. Roventini. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms". Voprosy Ekonomiki, n.º 6 (20 de junio de 2009): 24–47. http://dx.doi.org/10.32609/0042-8736-2009-6-24-47.
Texto completoRichmond, Peter y Lorenzo Sabatelli. "Langevin processes, agent models and socio-economic systems". Physica A: Statistical Mechanics and its Applications 336, n.º 1-2 (mayo de 2004): 27–38. http://dx.doi.org/10.1016/j.physa.2004.01.007.
Texto completoTsyplakov, Alexander A. "Agent-Based Modeling of Spatial Economic Systems: а Review". Journal of Siberian Federal University. Humanities & Social Sciences 14, n.º 12 (diciembre de 2021): 1910–19. http://dx.doi.org/10.17516/1997-1370-0869.
Texto completoBragin, Alexey. "Algorithm for Generating Random Vectors in Economic models". Artificial societies 19, n.º 1 (2024): 0. http://dx.doi.org/10.18254/s207751800029906-5.
Texto completoTrinidad Segovia, Juan E., Fabrizio Di Sciorio, Raffaele Mattera y Maria Spano. "A Bibliometric Analysis on Agent-Based Models in Finance: Identification of Community Clusters and Future Research Trends". Complexity 2022 (15 de septiembre de 2022): 1–11. http://dx.doi.org/10.1155/2022/4741566.
Texto completoWolf, 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, n.º 1 (1 de enero de 2013): 63–74. http://dx.doi.org/10.7564/13-coec12.
Texto completoMcAdams, David. "The Blossoming of Economic Epidemiology". Annual Review of Economics 13, n.º 1 (5 de agosto de 2021): 539–70. http://dx.doi.org/10.1146/annurev-economics-082120-122900.
Texto completoIRLE, ALBRECHT, JONAS KAUSCHKE, THOMAS LUX y MISHAEL MILAKOVIĆ. "SWITCHING RATES AND THE ASYMPTOTIC BEHAVIOR OF HERDING MODELS". Advances in Complex Systems 14, n.º 03 (junio de 2011): 359–76. http://dx.doi.org/10.1142/s0219525911002949.
Texto completoTesis sobre el tema "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.
Texto completoŠalamon, Tomáš. "Development of Agent-based Models for Economic Simulation". Doctoral thesis, Vysoká škola ekonomická v Praze, 2005. http://www.nusl.cz/ntk/nusl-77101.
Texto completoJiang, Wei. "Essays on fiscal policy in heterogeneous agent models". Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4148/.
Texto completoSilvestre, Joao Alexandre Parreira. "Agent-Based models in macroeconomics". Doctoral thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20604.
Texto completoA 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.
Texto completoBanerjee, 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.
Texto completoSafarzynska, Karolina, Roy Brouwer y 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.
Texto completoRIZZATI, 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.
Texto completoThis 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.
Texto completoTindall, 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.
Texto completoLibros sobre el tema "Models of an economic agent"
LeBaron, Blake y Peter Winker, eds. Agent Based Models for Economic Policy Advice. Berlin, Boston: De Gruyter, 2008. http://dx.doi.org/10.1515/9783110508840.
Texto completoBakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Moskva: Ėkonomika, 2008.
Buscar texto completoBakhtizin, A. R. Agent-orientirovannye modeli ėkonomiki. Moskva: Ėkonomika, 2008.
Buscar texto completo1963-, Luna Francesco y Stefansson Benedikt, eds. Economic simulations in Swarm: Agent-based modelling and object oriented programming. Boston: Kluwer Academic, 2000.
Buscar texto completoInternational 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.
Buscar texto completoZhang, Weiying. A principal-agent theory of the public economy. Kowloon, Hong Kong: City University of Hong Kong, Department of Economics and Finance, 1997.
Buscar texto completo1963-, Luna Francesco y Perrone Alessandro, eds. Agent-based methods in economics and finance: Simulations in Swarm. Boston: Kluwer Academic Publishers, 2002.
Buscar texto completoSanta Fe Institute (Santa Fe, N.M.), ed. Agent-based modeling: The Santa Fe Institute artificial stock market model revisited. Berlin: Springer, 2008.
Buscar texto completo1947-, Laffont Jean-Jacques, ed. The principal agent model: The economic theory of incentives. Cheltenham, UK: E. Elgar Pub., 2003.
Buscar texto completoThe representative agent in macroeconomics. London: Routledge, 1997.
Buscar texto completoCapítulos de libros sobre el tema "Models of an economic agent"
Maialeh, Robin. "Who Are Agents in Agent-Based Economic Models?" En Dynamic Models and Inequality, 67–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46313-7_4.
Texto completoChakraborti, Anirban y Guido Germano. "Agent-based models of economic interactions". En 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.
Texto completoPage, Scott E. "Agent-Based Models". En 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.
Texto completoPage, Scott E. "Agent-Based Models". En 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.
Texto completoCristelli, Matthieu, Andrea Tacchella y Luciano Pietronero. "An Overview of the New Frontiers of Economic Complexity". En Econophysics of Agent-Based Models, 147–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_8.
Texto completoDawid, Herbert, Karl Doerner, Richard F. Hartl, Marc Reimann, Georg Dorffner, Thomas Fent, Markus Feurstein, Andreas Mild, Martin Natter y Alfred Taudes. "Neural Networks in Agent-Based Economic Modeling". En Quantitative Models of Learning Organizations, 97–111. Vienna: Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-6158-6_7.
Texto completoOsborne, Martin J. y Ariel Rubinstein. "A market with asymmetric information". En Models in Microeconomic Theory, 203–14. 2a ed. Cambridge, UK: Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0361.14.
Texto completoOsborne, Martin J. y Ariel Rubinstein. "A market with asymmetric information". En Models in Microeconomic Theory, 203–14. 2a ed. Cambridge, UK: Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0362.14.
Texto completoGallegati, Mauro. "The Crisis of Economics". En Complex Agent-Based Models, 17–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93858-5_2.
Texto completoSquartini, Tiziano y Diego Garlaschelli. "Jan Tinbergen’s Legacy for Economic Networks: From the Gravity Model to Quantum Statistics". En Econophysics of Agent-Based Models, 161–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00023-7_9.
Texto completoActas de conferencias sobre el tema "Models of an economic agent"
Černohorský, Jiří, Stanislav Šafránek y Kamila Štekerová. "Game Theory and Agent-Based Models in Epidemiology: Exploration of Strategies with NetLogo". En Hradec Economic Days 2024, editado por Jan Maci, Petra Maresova, Krzysztof Firlej y Ivan Soukal. University of Hradec Kralove, 2024. http://dx.doi.org/10.36689/uhk/hed/2024-01-009.
Texto completoShvecov, Anatoly, Sergey Dianov y D. A. Zaripova. "Agent architecture implementation in models of socio-ecological-economic systems". En DEFIN2020: III International Scientific and Practical Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388984.3390881.
Texto completoWang, Chun, Weiming Shen y Hamada Ghenniwa. "Negotiation in Agent Based Manufacturing Scheduling Using Auction Models". En ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80905.
Texto completo"Two Modes of Scheduling in a Simple Economic Agent-Based Model". En 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.
Texto completoYang, Zining. "Integrating Agent Learning with System Dynamics in an Agent-Based Model of Economic Development". En CSS 2017: CSSSA's Annual Conference on Computational Social Science. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3145574.3145599.
Texto completoEvseenko, Sergey y Yurii Kupriyanov. "Modernization of Production Planning Methodology in the Context of Virtualization and Increasing Multi-Agent Meta-Environment". En 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.
Texto completoBerg, D. B., O. M. Zvereva y Serik Akenov. "“Economic microscope”: The agent-based model set as an instrument in an economic system research". En INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992203.
Texto completoInchiosa, Mario E. y Bipin Chadha. "Role of Agent Based Financial Market Models in Global Product Development". En ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49670.
Texto completoZvereva, Olga, Irina Ershova, Sergey Goldstein, Elena Shangina y Nadezda Tebaikina. "Agent-based model implementing for investigation of economic agents’ behavior influence on autonomous community viability". En INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0081524.
Texto completoZhang, Tong y Yu Wu. "Supply uncertainty in commodity contracting: An agent-based model". En 2014 International Conference on Behavior, Economic and Social Computing (BESC). IEEE, 2014. http://dx.doi.org/10.1109/besc.2014.7059525.
Texto completoInformes sobre el tema "Models of an economic agent"
Sprigg, James A., Richard J. Pryor y Craig Reed Jorgensen. Approach and development strategy for an agent-based model of economic confidence. Office of Scientific and Technical Information (OSTI), agosto de 2004. http://dx.doi.org/10.2172/903423.
Texto completoStermieri, Lidia, Tom Kober, Russell McKenna, Thomas J. Schmidt y Evangelos Panos. Socio-economic energy model for digitalization (SEED) overview design concept and details (ODD) protocol. Paul Scherrer Institute, PSI, diciembre de 2023. http://dx.doi.org/10.55402/psi:56617.
Texto completoPeralta-Alva, Adrian y 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.
Texto completoHorton, John. Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? Cambridge, MA: National Bureau of Economic Research, abril de 2023. http://dx.doi.org/10.3386/w31122.
Texto completoAcharya, Sushant y Paolo Pesenti. Spillovers and Spillbacks. Federal Reserve Bank of New York, marzo de 2024. http://dx.doi.org/10.59576/sr.1089.
Texto completoGrainger, Matthew, Simone Piras, Simone Righi, Marco Setti, Gavin Stewart y 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.
Texto completoPérez 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, noviembre de 2023. http://dx.doi.org/10.53479/34812.
Texto completoSadoune, Igor, Marcelin Joanis y Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, septiembre de 2023. http://dx.doi.org/10.54932/lqog8430.
Texto completoAttansio, Orazio y Debbie Blair. Structural modelling in policymaking. Centre for Excellence and Development Impact and Learning (CEDIL), noviembre de 2018. http://dx.doi.org/10.51744/cip9.
Texto completoBurniaux, Jean-Marc y Truong Truong. GTAP-E: An Energy-Environmental Version of the GTAP Model. GTAP Technical Paper, febrero de 2002. http://dx.doi.org/10.21642/gtap.tp16.
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