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Leigh Tesfatsion

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Leigh Tesfatsion, 1995. "How Economists Can Get Alife: Abbreviated Version," Computational Economics 9501001, University Library of Munich, Germany, revised 21 Jun 1998.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Heterodox Approaches > Thermoeconomics > The economy system as a living organism

Working papers

  1. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.

    Cited by:

    1. Jill W. Moraski & Natalie D. Popovich & Amol A. Phadke, 2023. "Leveraging rail-based mobile energy storage to increase grid reliability in the face of climate uncertainty," Nature Energy, Nature, vol. 8(7), pages 736-746, July.

  2. Tesfatsion, Leigh, 2021. "Agent-Based Computational Economics: Overview and Brief History," ISU General Staff Papers 202111080800001125, Iowa State University, Department of Economics.

    Cited by:

    1. José Bruno do Nascimento Clementino, 2022. "Documento de Trabalho 02/2022 - Modelagem baseada em agentes aplicada ao antitruste," Documentos de Trabalho 2022020, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.

  3. Manson, Steven & An, Li & Clarke, Keith C. & Heppenstall, Alison & Koch, Jennifer & Krzyzanowski, Brittany & Morgan, Fraser & O'Sullivan, David & Runck, Bryan C. & Shook, Eric & Tesfatsion, Leigh, 2020. "Methodological Issues of Spatial Agent-Based Models," ISU General Staff Papers 202001010800001690, Iowa State University, Department of Economics.

    Cited by:

    1. Eichfelder, Sebastian & Kluska, Mike & Knaisch, Jonas & Selle, Juliane, 2021. "Senkung der Unternehmenssteuerlast versus Förderung von Investitionen: Was ist die bessere Strategie zur Förderung der Standortattraktivität Deutschlands?," arqus Discussion Papers in Quantitative Tax Research 263, arqus - Arbeitskreis Quantitative Steuerlehre.
    2. John C. Stevenson, 2021. "Population and Inequality Dynamics in Simple Economies," Papers 2101.09817, arXiv.org, revised Aug 2021.
    3. Eichfelder, Sebastian & Kluska, Mike & Knaisch, Jonas & Selle, Juliane, 2021. "Senkung der Unternehmenssteuerlast versus Förderung von Investitionen: Was ist die bessere Strategie zur Förderung der Standortattraktivität Deutschlands?," arqus Discussion Papers in Quantitative Tax Research 266, arqus - Arbeitskreis Quantitative Steuerlehre.
    4. Salihoğlu, Tayfun & Albayrak, Ayşe Nur & Eryılmaz, Yaşasın, 2021. "A method for the determination of urban transformation areas in Kocaeli," Land Use Policy, Elsevier, vol. 109(C).
    5. Li An & Volker Grimm & Billie L. Turner II, 2020. "Editorial: Meeting Grand Challenges in Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-13.
    6. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    7. Zamponi, Virginia & O’Brien, Kevin & Jensen, Erik & Feldhaus, Brandon & Moore, Russell & Lynch, Christopher J. & Gore, Ross, 2023. "Understanding and assessing demographic (in)equity resulting from extreme heat and direct sunlight exposure due to lack of tree canopies in Norfolk, VA using agent-based modeling," Ecological Modelling, Elsevier, vol. 483(C).

  4. Nguyen, Hieu Trung & Battula, Swathi & Takkala, Rohit Reddy & Wang, Zhaoyu & Tesfatsion, Leigh, 2019. "An integrated transmission and distribution test system for evaluation of transactive energy designs," ISU General Staff Papers 201904150700001693, Iowa State University, Department of Economics.

    Cited by:

    1. Ronaldo Silveira Junior, Jose & Conrado, Bruna R.P. & Matheus dos Santos Alonso, Augusto & Iglesias Brandao, Danilo, 2023. "Interoperability of single-controllable clusters: Aggregate response of low-voltage microgrids," Applied Energy, Elsevier, vol. 340(C).
    2. Charbonnier, Flora & Morstyn, Thomas & McCulloch, Malcolm D., 2022. "Coordination of resources at the edge of the electricity grid: Systematic review and taxonomy," Applied Energy, Elsevier, vol. 318(C).
    3. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2022. "Open and Crowd-Based Platforms: Impact on Organizational and Market Performance," Sustainability, MDPI, vol. 14(4), pages 1-26, February.
    4. Cheng, Rui & Tesfatsion, Leigh & Wang, Zhaoyu, 2021. "A Multiperiod Consensus-Based Transactive Energy System for Unbalanced Distribution Networks," ISU General Staff Papers 202104230700001126, Iowa State University, Department of Economics.
    5. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    6. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
    7. Neeraj Gupta & B Rajanarayan Prusty & Omar Alrumayh & Abdulaziz Almutairi & Talal Alharbi, 2022. "The Role of Transactive Energy in the Future Energy Industry: A Critical Review," Energies, MDPI, vol. 15(21), pages 1-24, October.
    8. Madler, Jochen & Harding, Sebastian & Weibelzahl, Martin, 2023. "A multi-agent model of urban microgrids: Assessing the effects of energy-market shocks using real-world data," Applied Energy, Elsevier, vol. 343(C).
    9. Fernando Salinas-Herrera & Ali Moeini & Innocent Kamwa, 2022. "Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems," Sustainability, MDPI, vol. 14(13), pages 1-36, July.
    10. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Saha, Shammya & Ravi, Nikhil & Hreinsson, Kári & Baek, Jaejong & Scaglione, Anna & Johnson, Nathan G., 2021. "A secure distributed ledger for transactive energy: The Electron Volt Exchange (EVE) blockchain," Applied Energy, Elsevier, vol. 282(PA).
    12. Alam, Mollah Rezaul & Alam, M.J.E. & Somani, Abhishek & Melton, Ronald B. & Tushar, Wayes & Bai, Feifei & Yan, Ruifeng & Saha, Tapan K., 2021. "Evaluating the feasibility of transactive approach for voltage management using inverters of a PV plant," Applied Energy, Elsevier, vol. 291(C).
    13. Mehdi Montakhabi & Ine Van Zeeland & Pieter Ballon, 2022. "Barriers for Prosumers’ Open Business Models: A Resource-Based View on Assets and Data-Sharing in Electricity Markets," Sustainability, MDPI, vol. 14(9), pages 1-29, May.

  5. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201707110700001022, Iowa State University, Department of Economics.

    Cited by:

    1. Eric Innocenti & Corinne Idda & Dominique Prunetti & Pierre-Régis Gonsolin, 2022. "Agent-based modelling of a small-scale fishery in Corsica," Post-Print hal-03886619, HAL.
    2. Claudius Gräbner & Wolfram Elsner & Alexander Lascaux, 2018. "To Trust or to Control: Informal Value Transfer Systems and Computational Analysis in Institutional Economics," Journal of Economic Issues, Taylor & Francis Journals, vol. 52(2), pages 559-569, April.
    3. Jan Schulz & Daniel M. Mayerhoffer, 2021. "Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms," Journal of Business Economics, Springer, vol. 91(9), pages 1357-1385, November.
    4. Koen de Koning & Tatiana Filatova & Okmyung Bin, 2019. "Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent‐Based Model Approach," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1159-1179, April.
    5. D'Orazio, Paola, 2019. "Income inequality, consumer debt, and prudential regulation: An agent-based approach to study the emergence of crises and financial instability," Economic Modelling, Elsevier, vol. 82(C), pages 308-331.
    6. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    7. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.

  6. Ma, Shanshan & Wang, Zhaoyu & Tesfatsion, Leigh, 2017. "Swing Contracts with Dynamic Reserves for Flexible Service Management," ISU General Staff Papers 201709040700001032, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.

  7. Krishnamurthy, Dheepak & Li, Wanning & Tesfatsion, Leigh, 2016. "An 8-Zone Test System Based on ISO New England Data: Development and Application," ISU General Staff Papers 201601010800001449, Iowa State University, Department of Economics.

    Cited by:

    1. Tao Chen & Qais Alsafasfeh & Hajir Pourbabak & Wencong Su, 2017. "The Next-Generation U.S. Retail Electricity Market with Customers and Prosumers—A Bibliographical Survey," Energies, MDPI, vol. 11(1), pages 1-17, December.
    2. Nguyen, Hieu T. & Felder, Frank A., 2020. "Generation expansion planning with renewable energy credit markets: A bilevel programming approach," Applied Energy, Elsevier, vol. 276(C).
    3. Pandžić, H. & Dvorkin, Y. & Carrión, M., 2018. "Investments in merchant energy storage: Trading-off between energy and reserve markets," Applied Energy, Elsevier, vol. 230(C), pages 277-286.
    4. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
    5. Nguyen, Hieu Trung & Battula, Swathi & Takkala, Rohit Reddy & Wang, Zhaoyu & Tesfatsion, Leigh, 2019. "An integrated transmission and distribution test system for evaluation of transactive energy designs," Applied Energy, Elsevier, vol. 240(C), pages 666-679.
    6. Li, Wanning & Tesfatsion, Leigh, 2017. "An 8-Zone ISO-NE Test System with Physically-Based Wind Power," ISU General Staff Papers 201701310800001017, Iowa State University, Department of Economics.

  8. Tesfatsion, Leigh & Jie, Yu & Rehmann, Chris R. & Gutowski, William J., 2015. "WACCShed: A Platform for the Study of Watersheds as Dynamic Coupled Natural and Human Systems," ISU General Staff Papers 201512160800001226, Iowa State University, Department of Economics.

    Cited by:

    1. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    2. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37307, Iowa State University, Department of Economics.

  9. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37305, Iowa State University, Department of Economics.

    Cited by:

    1. Glötzl, Erhard & Glötzl, Florentin & Richters, Oliver, 2018. "From constrained optimization to constrained dynamics: extending analogies between economics and mechanics," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181627, Verein für Socialpolitik / German Economic Association.
    2. Múñoz, Féliz-Fernando & Encinar, María-Isabel & Cañibano, Carolina, 2016. "Agents, interaction, and economic laws: An analytical framework for understanding different economic theories," Working Papers in Economic Theory 2016/05, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    3. Tesfatsion, Leigh, 2017. "Modeling economic systems as locally-constructive sequential games," ISU General Staff Papers 201712010800001022, Iowa State University, Department of Economics.
    4. Tingting Liu & Randall J. F. Bruins & Matthew T. Heberling, 2018. "Factors Influencing Farmers’ Adoption of Best Management Practices: A Review and Synthesis," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    5. Thomas Beaussier & Sylvain Caurla & Véronique Bellon Maurel & Eléonore Loiseau, 2019. "Coupling economic models and environmental assessment methods to support regional policies : A critical review," Post-Print hal-02021423, HAL.
    6. Lorraine Eden & Charles F. Hermann & Stewart R. Miller, . "Evidence-based policymaking in a VUCA world," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.

  10. Sinitskaya, Ekaterina & Tesfatsion, Leigh, 2014. "Macroeconomies as Constructively Rational Games," Staff General Research Papers Archive 37834, Iowa State University, Department of Economics.

    Cited by:

    1. Robert Calvert Jump & Cars Hommes & Paul Levine, 2018. "Learning, Heterogeneity, and Complexity in the New Keynesian Model," Working Papers 20181807, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    3. Cars Hommes & Robert Calvert Jump & Paul Levine, 2017. "Internal rationalityuyuyuy, heterogeneity and complexity in the New Keynesian model," Working Papers 20171706, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    4. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    5. Russo, Alberto, 2017. "Dopo il keynesismo: teorie economiche per una (non-) politica economica [After Keynesianism: Economic Theories for a (non) Economic Policy]," MPRA Paper 83346, University Library of Munich, Germany.
    6. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    7. Michael Curry & Alexander Trott & Soham Phade & Yu Bai & Stephan Zheng, 2022. "Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning," Papers 2201.01163, arXiv.org, revised Feb 2022.
    8. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    9. Ermanno Catullo & Mauro Gallegati & Alberto Russo, 2020. "Forecasting in a complex environment: Machine learning sales expectations in a Stock Flow Consistent Agent-Based simulation model," Working Papers 2020/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    10. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37307, Iowa State University, Department of Economics.
    11. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    12. Tesfatsion, Leigh, 2017. "Modeling economic systems as locally-constructive sequential games," ISU General Staff Papers 201712010800001022, Iowa State University, Department of Economics.
    13. Özge Dilaver & Robert Jump & Paul Levine, 2016. "Agent-based Macroeconomics and Dynamic Stochastic General Equilibrium Models: Where do we go from here?," School of Economics Discussion Papers 0116, School of Economics, University of Surrey.
    14. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    15. Ichiro Takahashi & Isamu Okada, 2020. "An artificial Wicksell–Keynes economy integrating short-run business cycle and long-term cumulative trend," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 953-998, October.
    16. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    17. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
    18. Joseph E. Stiglitz, 2020. "The Pandemic Economic Crisis, Precautionary Behavior, and Mobility Constraints: An Application of the Dynamic Disequilibrium Model with Randomness," NBER Working Papers 27992, National Bureau of Economic Research, Inc.
    19. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    20. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    21. Joseph E Stiglitz & Martin M Guzman, 2021. "The pandemic economic crisis, precautionary behavior, and mobility constraints: an application of the dynamic disequilibrium model with randomness† [A new view of technological change]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 467-497.
    22. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, November.
    23. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    24. Jialin Dong & Kshama Dwarakanath & Svitlana Vyetrenko, 2023. "Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents," Papers 2311.17252, arXiv.org.
    25. Mariam Dundua & Otar Gorgodze, 2022. "Application of Artificial Intelligence for Monetary Policy-Making," NBG Working Papers 02/2022, National Bank of Georgia.

  11. Heo, Deung-Yong & Tesfatsion, Leigh, 2013. "Standardized Contracts with Swing for the Market-Supported Procurement of Energy and Reserve: Illustrative Examples," Staff General Research Papers Archive 36747, Iowa State University, Department of Economics.

    Cited by:

    1. Neda Hajibandeh & Mehdi Ehsan & Soodabeh Soleymani & Miadreza Shafie-khah & João P. S. Catalão, 2017. "The Mutual Impact of Demand Response Programs and Renewable Energies: A Survey," Energies, MDPI, vol. 10(9), pages 1-18, September.

  12. Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching & Chu, Ron F. & Sun, Wei, 2013. "A Nash Approach to Planning Merchant Transmission for Renewable Resource Integration," Staff General Research Papers Archive 36496, Iowa State University, Department of Economics.

    Cited by:

    1. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.

  13. Yu, Nanpeng & Tesfatsion, Leigh & Liu, Chen-Ching, 2012. "Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining Theory," ISU General Staff Papers 201201010800001470, Iowa State University, Department of Economics.

    Cited by:

    1. Liu, Songsong & Papageorgiou, Lazaros G., 2018. "Fair profit distribution in multi-echelon supply chains via transfer prices," Omega, Elsevier, vol. 80(C), pages 77-94.
    2. Fotouhi Ghazvini, Mohammad Ali & Faria, Pedro & Ramos, Sergio & Morais, Hugo & Vale, Zita, 2015. "Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market," Energy, Elsevier, vol. 82(C), pages 786-799.
    3. Edward J. Anderson & Andrew B. Philpott, 2019. "Forward Commodity Trading with Private Information," Operations Research, INFORMS, vol. 67(1), pages 58-71, January.
    4. Xiao, Yunpeng & Wang, Xifan & Wang, Xiuli & Wu, Zechen, 2016. "Trading wind power with barrier option," Applied Energy, Elsevier, vol. 182(C), pages 232-242.
    5. Zhang, Xian & Chan, K.W. & Wang, Huaizhi & Hu, Jiefeng & Zhou, Bin & Zhang, Yan & Qiu, Jing, 2019. "Game-theoretic planning for integrated energy system with independent participants considering ancillary services of power-to-gas stations," Energy, Elsevier, vol. 176(C), pages 249-264.
    6. Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching & Chu, Ron F. & Sun, Wei, 2013. "A Nash Approach to Planning Merchant Transmission for Renewable Resource Integration," Staff General Research Papers Archive 36496, Iowa State University, Department of Economics.
    7. Jian Zhang & Yanan Zheng & Mingtao Yao & Huiji Wang & Zhaoguang Hu, 2019. "An Agent-Based Two-Stage Trading Model for Direct Electricity Procurement of Large Consumers," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    8. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.
    9. Shen, Jian-jian & Cheng, Chun-tian & Jia, Ze-bin & Zhang, Yang & Lv, Quan & Cai, Hua-xiang & Wang, Bang-can & Xie, Meng-fei, 2022. "Impacts, challenges and suggestions of the electricity market for hydro-dominated power systems in China," Renewable Energy, Elsevier, vol. 187(C), pages 743-759.
    10. Kharrati, Saeed & Kazemi, Mostafa & Ehsan, Mehdi, 2016. "Equilibria in the competitive retail electricity market considering uncertainty and risk management," Energy, Elsevier, vol. 106(C), pages 315-328.
    11. Kai Ma & Congshan Wang & Jie Yang & Qiuxia Yang & Yazhou Yuan, 2017. "Economic Dispatch with Demand Response in Smart Grid: Bargaining Model and Solutions," Energies, MDPI, vol. 10(8), pages 1-17, August.
    12. Marí, L. & Nabona, N. & Pagès-Bernaus, A., 2017. "Medium-term power planning in electricity markets with pool and bilateral contracts," European Journal of Operational Research, Elsevier, vol. 260(2), pages 432-443.

  14. Tesfatsion, Leigh, 2011. "Agent-Based Modeling and Institutional Design," Staff General Research Papers Archive 32765, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh & Jie, Yu & Rehmann, Chris R. & Gutowski, William J., 2015. "WACCShed: A Platform for the Study of Watersheds as Dynamic Coupled Natural and Human Systems," ISU General Staff Papers 201512160800001226, Iowa State University, Department of Economics.
    2. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37307, Iowa State University, Department of Economics.
    3. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    4. Lorán Chollete & Sharon G. Harrison, 2021. "Unintended Consequences: Ambiguity Neglect and Policy Ineffectiveness," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(2), pages 206-226, April.
    5. Bernardo Alves Furtado & Gustavo Onofre Andre~ao, 2022. "Machine Learning Simulates Agent-Based Model Towards Policy," Papers 2203.02576, arXiv.org, revised Nov 2022.

  15. Li, Hongyan & Tesfatsion, Leigh, 2010. "Co-Learning Patterns As Emergent Market Phenomena: An Electricity Market Illustration," Staff General Research Papers Archive 32222, Iowa State University, Department of Economics.

    Cited by:

    1. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    2. Huiru Zhao & Yuwei Wang & Sen Guo & Mingrui Zhao & Chao Zhang, 2016. "Application of a Gradient Descent Continuous Actor-Critic Algorithm for Double-Side Day-Ahead Electricity Market Modeling," Energies, MDPI, vol. 9(9), pages 1-20, September.
    3. Esmaeili Aliabadi, Danial & Kaya, Murat & Sahin, Guvenc, 2017. "Competition, risk and learning in electricity markets: An agent-based simulation study," Applied Energy, Elsevier, vol. 195(C), pages 1000-1011.
    4. James Caton, 2017. "Entrepreneurship, search costs, and ecological rationality in an agent-based economy," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 107-130, March.

  16. Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching, 2010. "Short-Term Congestion Forecasting in Wholesale Power Markets," Staff General Research Papers Archive 31700, Iowa State University, Department of Economics.

    Cited by:

    1. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.

  17. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Testing Institutional Arrangements Via Agent-Based Modeling: A U.S. Electricity Market Example," Staff General Research Papers Archive 13155, Iowa State University, Department of Economics.

    Cited by:

    1. Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.
    2. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    3. Bozhechkova Alexandra & Trunin Pavel & Sinelnikova-Muryleva Elena & Petrova Diana & Chentsov Alexander, 2018. "Building of monetary and currency markets models," Research Paper Series, Gaidar Institute for Economic Policy, issue 175P, pages 1-96.

  18. Borrill, Paul L. & Tesfatsion, Leigh, 2010. "Agent-Based Modeling: The Right Mathematics for the Social Sciences?," Staff General Research Papers Archive 31674, Iowa State University, Department of Economics.

    Cited by:

    1. Eugenio Caverzasi & Antoine Godin, 2013. "Stock-flow Consistent Modeling through the Ages," Economics Working Paper Archive wp_745, Levy Economics Institute.
    2. Stefan Gold & Thomas Chesney & Tim Gruchmann & Alexander Trautrims, 2020. "Diffusion of labor standards through supplier–subcontractor networks: An agent‐based model," Journal of Industrial Ecology, Yale University, vol. 24(6), pages 1274-1286, December.
    3. Wozniak, Marcin, 2016. "Job placement agencies in an artificial labor market," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-54.
    4. Tesfatsion, Leigh, 2017. "Modeling economic systems as locally-constructive sequential games," ISU General Staff Papers 201712010800001022, Iowa State University, Department of Economics.
    5. Antoine Mandel & Davoud Taghawi-Nejad & Vipin Veetil, 2019. "The price effects of monetary shocks in a network economy," PSE-Ecole d'économie de Paris (Postprint) halshs-02334593, HAL.
    6. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    7. Marco Mazzoli & Matteo Morini & Pietro Terna, 2017. "Business Cycle in a Macromodel with Oligopoly and Agents’ Heterogeneity: An Agent-Based Approach," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 389-417, November.
    8. Divine Odame APPIAH & Eric Kwabena FORKUO & John Tiah BUGRI, 2015. "Land Use Conversion Probabilities in a Peri-Urban District of Ghana," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-21, September.
    9. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    10. G. B. Korovin, 2020. "Architecture of the agent-based model for the region’s industrial complex digital transformation," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 158-174, October.
    11. Фаттахов М.Р., 2013. "Агенто-Ориентированная Модель Социально-Экономического Развития Москвы," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(2), pages 30-43, апрель.
    12. Naqvi, Asjad, 2017. "Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters," World Development, Elsevier, vol. 99(C), pages 395-418.

  19. Tesfatsion, Leigh, 2009. "Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules," Staff General Research Papers Archive 13074, Iowa State University, Department of Economics.

    Cited by:

    1. Ioannidis, Filippos & Kosmidou, Kyriaki & Makridou, Georgia & Andriosopoulos, Kostas, 2019. "Market design of an energy exchange: The case of Greece," Energy Policy, Elsevier, vol. 133(C).
    2. Prokhorov, Oleksandr & Dreisbach, Dina, 2022. "The impact of renewables on the incidents of negative prices in the energy spot markets," Energy Policy, Elsevier, vol. 167(C).
    3. Villalobos, Cristian & Negrete-Pincetic, Matías & Figueroa, Nicolás & Lorca, Álvaro & Olivares, Daniel, 2021. "The impact of short-term pricing on flexible generation investments in electricity markets," Energy Economics, Elsevier, vol. 98(C).
    4. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    5. Dowling, Alexander W. & Kumar, Ranjeet & Zavala, Victor M., 2017. "A multi-scale optimization framework for electricity market participation," Applied Energy, Elsevier, vol. 190(C), pages 147-164.
    6. Heo, Deung-Yong Yong, 2015. "Studies on electric power markets: preparing for the penetration of renewable resources," ISU General Staff Papers 201501010800005377, Iowa State University, Department of Economics.
    7. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.

  20. Li, Hongyan & Tesfatsion, Leigh S., 2009. "Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study," Staff General Research Papers Archive 13070, Iowa State University, Department of Economics.

    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    2. Vespucci, Maria Teresa & Innorta, Mario & Cervigni, Guido, 2013. "A Mixed Integer Linear Programming model of a zonal electricity market with a dominant producer," Energy Economics, Elsevier, vol. 35(C), pages 35-41.
    3. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    4. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.

  21. Tesfatsion, Leigh S., 2009. "Web Site for Agent-Based Computational Economics (ACE)," Staff General Research Papers Archive 4021, Iowa State University, Department of Economics.

    Cited by:

    1. Ferraris Gianluigi & Fontana Magda, 2006. "Beating the Tit for Tat: Using a Genetic Algorithm to Build an Effective Adaptive Behavior," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200604, University of Turin.

  22. Li, Hongyan & Tesfatsion, Leigh S., 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," Staff General Research Papers Archive 13069, Iowa State University, Department of Economics.

    Cited by:

    1. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    2. Zheng Ma & Mette Jessen Schultz & Kristoffer Christensen & Magnus Værbak & Yves Demazeau & Bo Nørregaard Jørgensen, 2019. "The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review," Energies, MDPI, vol. 12(16), pages 1-31, August.
    3. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    4. Silva, Francisco & Teixeira, Brígida & Pinto, Tiago & Santos, Gabriel & Vale, Zita & Praça, Isabel, 2016. "Generation of realistic scenarios for multi-agent simulation of electricity markets," Energy, Elsevier, vol. 116(P1), pages 128-139.
    5. Ricardo Faia & Tiago Pinto & Zita Vale & Juan Manuel Corchado, 2017. "An Ad-Hoc Initial Solution Heuristic for Metaheuristic Optimization of Energy Market Participation Portfolios," Energies, MDPI, vol. 10(7), pages 1-18, June.
    6. Pinto, T. & Morais, H. & Oliveira, P. & Vale, Z. & Praça, I. & Ramos, C., 2011. "A new approach for multi-agent coalition formation and management in the scope of electricity markets," Energy, Elsevier, vol. 36(8), pages 5004-5015.
    7. Pinto, Tiago & Vale, Zita & Sousa, Tiago M. & Praça, Isabel, 2015. "Negotiation context analysis in electricity markets," Energy, Elsevier, vol. 85(C), pages 78-93.
    8. Santos, Gabriel & Pinto, Tiago & Praça, Isabel & Vale, Zita, 2016. "MASCEM: Optimizing the performance of a multi-agent system," Energy, Elsevier, vol. 111(C), pages 513-524.
    9. Krishnamurthy, Dheepak & Li, Wanning & Tesfatsion, Leigh, 2016. "An 8-Zone Test System Based on ISO New England Data: Development and Application," ISU General Staff Papers 201601010800001449, Iowa State University, Department of Economics.
    10. Tadahiro Taniguchi & Koki Kawasaki & Yoshiro Fukui & Tomohiro Takata & Shiro Yano, 2015. "Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network," Energies, MDPI, vol. 8(7), pages 1-26, July.
    11. Voudouris, Vlasios & Stasinopoulos, Dimitrios & Rigby, Robert & Di Maio, Carlo, 2011. "The ACEGES laboratory for energy policy: Exploring the production of crude oil," Energy Policy, Elsevier, vol. 39(9), pages 5480-5489, September.
    12. Gabriel Santos & Tiago Pinto & Isabel Praça & Zita Vale, 2016. "An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies," Energies, MDPI, vol. 9(11), pages 1-22, October.
    13. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    14. Tiago Pinto & Zita Vale & Isabel Praça & E. J. Solteiro Pires & Fernando Lopes, 2015. "Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning," Energies, MDPI, vol. 8(9), pages 1-26, September.

  23. Li, Hongyan & Tesfatsion, Leigh, 2009. "ISO Net Surplus Collection and Allocation in Wholesale Power Markets Under Locational Marginal Pricing," Staff General Research Papers Archive 13092, Iowa State University, Department of Economics.

    Cited by:

    1. Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.

  24. Li, Hongyan & Tesfatsion, Leigh S., 2009. "The AMES Wholesale Power Market Test Bed: A Computational Laboratory for Research, Teaching, and Training," Staff General Research Papers Archive 13073, Iowa State University, Department of Economics.

    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    2. Ruhang Xu & Zhilin Liu & Zhuangzhuang Yu, 2019. "Exploring the Profitability and Efficiency of Variable Renewable Energy in Spot Electricity Market: Uncovering the Locational Price Disadvantages," Energies, MDPI, vol. 12(14), pages 1-30, July.
    3. Zhao, Huan, 2011. "Four Market Studies for the Beef and Electric Power Industries," ISU General Staff Papers 201101010800001360, Iowa State University, Department of Economics.
    4. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
    5. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    6. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    7. Koos van der Linden & Natalia Romero & Mathijs M. de Weerdt, 2021. "Benchmarking Flexible Electric Loads Scheduling Algorithms," Energies, MDPI, vol. 14(5), pages 1-16, February.
    8. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
    9. Rashidova E.A., 2017. "Agent-based modeling of wholesale electricity market," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 70-85.

  25. Liu, Haifeng & Tesfatsion, Leigh S. & Chowdhury, A.A., 2009. "Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets," Staff General Research Papers Archive 13068, Iowa State University, Department of Economics.

    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    2. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    4. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
    5. Tesfatsion, Leigh, 2023. "Locational Marginal Pricing: When and Why Not?," ISU General Staff Papers 202307051413210000, Iowa State University, Department of Economics.
    6. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
    7. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    8. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.
    9. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    10. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.

  26. Liu, Haifeng & Tesfatsion, Leigh S. & Chowdhury, A.A., 2009. "Locational Marginal Pricing Basics for Restructured Wholesale Power Markets," Staff General Research Papers Archive 13072, Iowa State University, Department of Economics.

    Cited by:

    1. Yang, Zhifang & Zhong, Haiwang & Lin, Wei & Lin, Jeremy & Chen, Yonghong & Xia, Qing & Liu, Wentao & Zhang, Xuan, 2019. "Mapping between transmission constraint penalty factor and OPF solution in electricity markets: analysis and fast calculation," Energy, Elsevier, vol. 168(C), pages 1181-1191.
    2. Tiago Pinto & Mohammad Ali Fotouhi Ghazvini & Joao Soares & Ricardo Faia & Juan Manuel Corchado & Rui Castro & Zita Vale, 2018. "Decision Support for Negotiations among Microgrids Using a Multiagent Architecture," Energies, MDPI, vol. 11(10), pages 1-20, September.
    3. Dowling, Alexander W. & Kumar, Ranjeet & Zavala, Victor M., 2017. "A multi-scale optimization framework for electricity market participation," Applied Energy, Elsevier, vol. 190(C), pages 147-164.
    4. Brooks, Adria E. & Lesieutre, Bernard C., 2022. "A locational marginal price for frequency balancing operations in regulation markets," Applied Energy, Elsevier, vol. 308(C).
    5. Selcuk, O. & Acar, B. & Dastan, S.A., 2022. "System integration costs of wind and hydropower generations in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. Juan Ospina & David M. Fobes & Russell Bent, 2023. "On the Feasibility of Market Manipulation and Energy Storage Arbitrage via Load-Altering Attacks," Energies, MDPI, vol. 16(4), pages 1-16, February.
    7. Tsai, Chen-Hao & Eryilmaz, Derya, 2018. "Effect of wind generation on ERCOT nodal prices," Energy Economics, Elsevier, vol. 76(C), pages 21-33.
    8. Tianyu Cui & Francesco Caravelli & Cozmin Ududec, 2017. "Correlations and Clustering in Wholesale Electricity Markets," Papers 1710.11184, arXiv.org, revised Nov 2017.
    9. Luca Lena Jansen & Georg Thomaßen & Georgios Antonopoulos & Ľuboš Buzna, 2022. "An Efficient Framework to Estimate the State of Charge Profiles of Hydro Units for Large-Scale Zonal and Nodal Pricing Models," Energies, MDPI, vol. 15(12), pages 1-23, June.
    10. Jan-Philipp Sasse & Evelina Trutnevyte, 2023. "A low-carbon electricity sector in Europe risks sustaining regional inequalities in benefits and vulnerabilities," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

  27. Zhou, Qun & Tesfatsion, Leigh S. & Liu, Chen-Ching, 2009. "Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets," Staff General Research Papers Archive 13071, Iowa State University, Department of Economics.

    Cited by:

    1. Wicke, Lars & Dhami, Mandeep K. & Önkal, Dilek & Belton, Ian K., 2022. "Using scenarios to forecast outcomes of a refugee crisis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1175-1184.

  28. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh S., 2009. "Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets," Staff General Research Papers Archive 13075, Iowa State University, Department of Economics.

    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    2. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    4. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.

  29. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh S., 2008. "Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios," Staff General Research Papers Archive 12975, Iowa State University, Department of Economics.

    Cited by:

    1. Li, Hongyan & Tesfatsion, Leigh, 2011. "Co-learning patterns as emergent market phenomena: an electricity market illustration," ISU General Staff Papers 201106080700001060, Iowa State University, Department of Economics.
    2. Jisong Zhu & Zhaoxia Jing & Tianyao Ji & Nauman Ali Larik, 2020. "Energy–Economy Coupled Simulation Approach and Simulator Based on Invididual-Based Model," Energies, MDPI, vol. 13(11), pages 1-18, June.
    3. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    4. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.

  30. Somani, Abhishek & Tesfatsion, Leigh S., 2008. "An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures," Staff General Research Papers Archive 12977, Iowa State University, Department of Economics.

    Cited by:

    1. Vespucci, Maria Teresa & Innorta, Mario & Cervigni, Guido, 2013. "A Mixed Integer Linear Programming model of a zonal electricity market with a dominant producer," Energy Economics, Elsevier, vol. 35(C), pages 35-41.
    2. Ketter, W. & Collins, J. & de Weerdt, M.M., 2016. "The 2016 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2016-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Pinto, T. & Morais, H. & Oliveira, P. & Vale, Z. & Praça, I. & Ramos, C., 2011. "A new approach for multi-agent coalition formation and management in the scope of electricity markets," Energy, Elsevier, vol. 36(8), pages 5004-5015.
    4. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
    5. Ketter, W. & Collins, J. & de Weerdt, M.M., 2017. "The 2018 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2017-016-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Ketter, W. & Collins, J. & Reddy, P. & Flath, C., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    8. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2012. "The 2012 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2012-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2013. "The 2013 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2013-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Ketter, W. & Collins, J. & de Weerdt, M.M., 2017. "The 2017 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2017-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.
    12. Ketter, W. & Collins, J. & Reddy, P. & Flath, C. & de Weerdt, M.M., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2014. "The 2014 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2014-004-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Ketter, W. & Collins, J. & Reddy, P. & de Weerdt, M.M., 2015. "The 2015 Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2015-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  31. Tesfatsion, Leigh S., 2008. "Agent-Based Computational Economics: Modeling Economies As Complex Adaptive Systems," Staff General Research Papers Archive 12974, Iowa State University, Department of Economics.

    Cited by:

    1. Situngkir, Hokky, 2011. "Pengertian dari dan untuk ketakmengertian: Social Complexity sebagai cara pandang baru dalam memahami fenomena sosial [Understanding from and to the inability to understand: Social Complexity as a ," MPRA Paper 30871, University Library of Munich, Germany.
    2. McArthur, David & Thorsen, Inge & Ubøe, Jan, 2008. "An agent-based computational approach to explaining persistent spatial unemployment disparities," Discussion Papers 2008/17, Norwegian School of Economics, Department of Business and Management Science.
    3. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Norwegian School of Economics, Department of Business and Management Science.

  32. LeBaron, Blake & Tesfatsion, Leigh S., 2008. "Modeling Macroeconomies As Open-Ended Dynamic Systems of Interacting Agents," Staff General Research Papers Archive 12973, Iowa State University, Department of Economics.

    Cited by:

    1. Holden, Steinar, 2012. "Implications of Insights from Behavioral Economics for Macroeconomic Models," Memorandum 25/2012, Oslo University, Department of Economics.
    2. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    3. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    4. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Behrooz Hassani-Mahmooei, Behrooz & Vahabi, Mehrdad, 2013. "Identity, Authority and Evolution of Order: the trajectory of dueling simulated," MPRA Paper 48219, University Library of Munich, Germany, revised 10 Jul 2013.
    6. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    7. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    8. Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    9. J. Silvestre, & T. Araújo & M. St. Aubyn, 2016. "Economic growth and individual satisfaction in an agent-based economy," Working Papers Department of Economics 2016/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
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    1. Federico Pablo-Martí & Antonio García-Tabuenca & Tomás Mancha, 2013. "AMOEBA: An Agent-based Model Of Entrepreneurship and Business Activities," ERSA conference papers ersa13p717, European Regional Science Association.
    2. Dan Farhat, 2013. "The Economics of Vampires: An Agent-based Perspective," Working Papers 1301, University of Otago, Department of Economics, revised Jan 2013.
    3. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
    4. Dan Farhat, 2011. "Bookworms versus Party Animals: An Artificial Labor Market with Human and Social Capital Accumulation," Working Papers 1103, University of Otago, Department of Economics, revised May 2011.
    5. Buitrago R., Ricardo E. & Barbosa Camargo, María Inés, 2021. "Institutions, institutional quality, and international competitiveness: Review and examination of future research directions," Journal of Business Research, Elsevier, vol. 128(C), pages 423-435.
    6. Poursalimi Jaghargh, Mohammad Javad & Mashhadi, Habib Rajabi, 2021. "An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP," Renewable Energy, Elsevier, vol. 163(C), pages 1012-1022.
    7. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    8. Daniel FARHAT, 2023. "The economics and evolution of heroic behavior," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(636), A), pages 5-20, Autumn.

  34. Sun, Junjie & Tesfatsion, Leigh S., 2007. "An Agent-Based Computational Laboratory for Wholesale Power Market Design," Staff General Research Papers Archive 12776, Iowa State University, Department of Economics.

    Cited by:

    1. Zheng Ma & Mette Jessen Schultz & Kristoffer Christensen & Magnus Værbak & Yves Demazeau & Bo Nørregaard Jørgensen, 2019. "The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review," Energies, MDPI, vol. 12(16), pages 1-31, August.
    2. Priyanka Shinde & Ioannis Boukas & David Radu & Miguel Manuel de Villena & Mikael Amelin, 2021. "Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach," Energies, MDPI, vol. 14(13), pages 1-31, June.
    3. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    4. Rahimiyan, Morteza & Rajabi Mashhadi, Habib, 2010. "Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics," Energy Policy, Elsevier, vol. 38(3), pages 1588-1595, March.

  35. Sun, Junjie & Tesfatsion, Leigh S., 2007. "Open-Source Software for Power Industry Research, Teaching, and Training: A DC Optimal Power Flow Illustration," Staff General Research Papers Archive 12775, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.

  36. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.

    Cited by:

    1. Phil Wild & William Paul Bell & John Foster, 2012. "An Assessment of the Impact of the Introduction of Carbon Price Signals on Prices, Production Trends, Carbon Emissions and Power Flows in the NEM for the period 2007-2009," Energy Economics and Management Group Working Papers 4-2012, School of Economics, University of Queensland, Australia.
    2. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    3. Phil Wild & William Paul Bell & John Foster, 2012. "Impact of Carbon Prices: State Production Trends, Inter-state Trade and Carbon Emission Reduction Outcomes in the NEM over the period 2007- 2009," Energy Economics and Management Group Working Papers 6-2012, School of Economics, University of Queensland, Australia.
    4. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
    5. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017. "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, vol. 67(C), pages 224-241.
    7. José Bruno do Nascimento Clementino, 2022. "Documento de Trabalho 02/2022 - Modelagem baseada em agentes aplicada ao antitruste," Documentos de Trabalho 2022020, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
    8. Vijayanarasimha Hindupur Pakka & Richard Mark Rylatt, 2016. "Design and Analysis of Electrical Distribution Networks and Balancing Markets in the UK: A New Framework with Applications," Energies, MDPI, vol. 9(2), pages 1-20, February.
    9. Block, C. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    11. Alexander J. M. Kell & Matthew Forshaw & A. Stephen McGough, 2019. "ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning," Papers 1911.01203, arXiv.org.
    12. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    13. Rubin, Ofir D. & Babcock, Bruce A., 2011. "A novel approach for modeling deregulated electricity markets," Energy Policy, Elsevier, vol. 39(5), pages 2711-2721, May.
    14. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," SciencePo Working papers Main hal-03461120, HAL.
    15. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
    16. Salehizadeh, Mohammad Reza & Soltaniyan, Salman, 2016. "Application of fuzzy Q-learning for electricity market modeling by considering renewable power penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1172-1181.
    17. Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
    18. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    19. Tao, Zhenmin & Moncada, Jorge Andrés & Poncelet, Kris & Delarue, Erik, 2021. "Review and analysis of investment decision making algorithms in long-term agent-based electric power system simulation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    20. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).
    21. Albert Banal-Estañol & Augusto Rupérez Micola, 2009. "Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices," Management Science, INFORMS, vol. 55(11), pages 1813-1831, November.
    22. Mahvi, M. & Ardehali, M.M., 2011. "Optimal bidding strategy in a competitive electricity market based on agent-based approach and numerical sensitivity analysis," Energy, Elsevier, vol. 36(11), pages 6367-6374.
    23. Kimbrough, Steven O. & Murphy, Frederic H., 2013. "Strategic bidding of offer curves: An agent-based approach to exploring supply curve equilibria," European Journal of Operational Research, Elsevier, vol. 229(1), pages 165-178.
    24. Thompson, James R. & Frezza, Damon & Necioglu, Burhan & Cohen, Michael L. & Hoffman, Kenneth & Rosfjord, Kristine, 2019. "Interdependent Critical Infrastructure Model (ICIM): An agent-based model of power and water infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 144-165.
    25. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
    26. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Separation and volatility of locational marginal prices in restructured wholesale power markets," ISU General Staff Papers 201003020800001137, Iowa State University, Department of Economics.
    27. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
    28. LeBaron Blake & Winker Peter, 2008. "Introduction to the Special Issue on Agent-Based Models for Economic Policy Advice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 141-148, April.
    29. Krishnamurthy, Dheepak & Li, Wanning & Tesfatsion, Leigh, 2016. "An 8-Zone Test System Based on ISO New England Data: Development and Application," ISU General Staff Papers 201601010800001449, Iowa State University, Department of Economics.
    30. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    31. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    32. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.
    33. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    34. Poghosyan, Anush & Greetham, Danica Vukadinović & Haben, Stephen & Lee, Tamsin, 2015. "Long term individual load forecast under different electrical vehicles uptake scenarios," Applied Energy, Elsevier, vol. 157(C), pages 699-709.
    35. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
    36. Azadeh, A. & Skandari, M.R. & Maleki-Shoja, B., 2010. "An integrated ant colony optimization approach to compare strategies of clearing market in electricity markets: Agent-based simulation," Energy Policy, Elsevier, vol. 38(10), pages 6307-6319, October.
    37. Poursalimi Jaghargh, Mohammad Javad & Mashhadi, Habib Rajabi, 2021. "An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP," Renewable Energy, Elsevier, vol. 163(C), pages 1012-1022.
    38. E. J. Anderson & T. D. H. Cau, 2009. "Modeling Implicit Collusion Using Coevolution," Operations Research, INFORMS, vol. 57(2), pages 439-455, April.
    39. Rahimiyan, Morteza & Rajabi Mashhadi, Habib, 2010. "Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics," Energy Policy, Elsevier, vol. 38(3), pages 1588-1595, March.
    40. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    41. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
    42. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    43. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    44. G P Girish & Aviral Kumar Tiwari, 2016. "A comparison of different univariate forecasting models forSpot Electricity Price in India," Economics Bulletin, AccessEcon, vol. 36(2), pages 1039-1057.
    45. Phil Wild & William Paul Bell & John Foster, 2012. "The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia," Energy Economics and Management Group Working Papers 5-2012, School of Economics, University of Queensland, Australia.
    46. Yu, Nanpeng & Liu, Chen-Ching & Tesfatsion, Leigh S., 2008. "Modeling of Suppliers Learning Behaviors in an Electricity Market Environment," Staff General Research Papers Archive 12976, Iowa State University, Department of Economics.
    47. Yu, Nanpeng & Tesfatsion, Leigh & Liu, Chen-Ching, 2012. "Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining Theory," ISU General Staff Papers 201201010800001470, Iowa State University, Department of Economics.
    48. Dina A. Zaki & Mohamed Hamdy, 2022. "A Review of Electricity Tariffs and Enabling Solutions for Optimal Energy Management," Energies, MDPI, vol. 15(22), pages 1-17, November.
    49. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    50. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    51. Rubin, Ofir David, 2010. "Equilibrium pricing in electricity markets with wind power," ISU General Staff Papers 201001010800002361, Iowa State University, Department of Economics.
    52. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    53. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.

  37. Widergren, Steven & Sun, Junjie & Tesfatsion, Leigh S., 2006. "Market Design Test Environments," Staff General Research Papers Archive 12516, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2007. "Public Policies and Changing Boundaries of Firms in a "History Friendly" Model of the Co-evolution of the Computer and Semiconductor Industries," KITeS Working Papers 201, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jun 2007.
    3. Anatolitis, Vasilios & Welisch, Marijke, 2017. "Putting renewable energy auctions into action – An agent-based model of onshore wind power auctions in Germany," Energy Policy, Elsevier, vol. 110(C), pages 394-402.
    4. Kariuki, Francis, 2015. "Sustainability in the financial sector in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 11, Kenya Bankers Association (KBA).

  38. Sun, Junjie & Tesfatsion, Leigh, 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Working Papers 18221, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. A. Farina & A. Graziano & F. Mariani & F. Zirilli, 2008. "Probabilistic Analysis of Failures in Power Transmission Networks and Phase Transitions: Study Case of a High-Voltage Power Transmission Network," Journal of Optimization Theory and Applications, Springer, vol. 139(1), pages 171-199, October.
    3. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Martin Meinel & Michael Ulbrich & Sebastian Albrecht, 2014. "A class of distributed optimization methods with event-triggered communication," Computational Optimization and Applications, Springer, vol. 57(3), pages 517-553, April.
    5. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.

  39. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.

    Cited by:

    1. Igor Evstigneev & Michael Taksar, 2006. "Dynamic interaction models of economic equilibrium," Economics Discussion Paper Series 0623, Economics, The University of Manchester.
    2. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    3. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    4. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Rodolphe Buda, 2007. "Propositions for the Building of a Quantitative Austrian Modelling: An Answer to Prof. Rizzo and to Prof. Vriend," Working Papers hal-04139234, HAL.
    6. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    7. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    8. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    9. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Paul De Grauwe, 2012. "Booms and busts: New Keynesian and behavioural explanations," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 6, pages 149-180, Edward Elgar Publishing.
    12. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    14. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    15. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    16. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    18. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
    19. Frank Beckenbach & Maria Daskalakis & David Hofmann, 2012. "Agent-based modelling of novelty creating behavior and sectoral growth effects—Linking the creative and the destructive side of innovation," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 513-542, July.
    20. Dirk G Baur & Kristoffer Glover, 2012. "A Gold Bubble?," Working Paper Series 175, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    21. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," SciencePo Working papers Main hal-03443457, HAL.
    22. Nadia Fiorino & Emma Galli & Ilde Rizzo & Marco Valente, 2018. "Public Procurement and Reputation: An Agent-Based Model," SPRU Working Paper Series 2018-17, SPRU - Science Policy Research Unit, University of Sussex Business School.
    23. Piero Ferri & AnnaMaria Variato, 2010. "Financial Fragility, the Minskian Triad, and Economic Dynamics," International Journal of Political Economy, Taylor & Francis Journals, vol. 39(2), pages 70-82.
    24. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," Working Papers halshs-02956879, HAL.
    25. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    26. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    27. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    28. J. Silvestre, & T. Araújo & M. St. Aubyn, 2016. "Economic growth and individual satisfaction in an agent-based economy," Working Papers Department of Economics 2016/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    29. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    30. Georges SARAFOPOULOS & Kosmas PAPADOPOULOS, 2017. "On A Cournot Duopoly Game With Differentiated Goods, Heterogeneous Expectations And A Cost Function Including Emission Costs," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 16(1), pages 11-22.
    31. Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023. "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 111-123.
    32. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    33. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
    34. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    35. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    36. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    37. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non-conventionnelle," Sciences Po publications info:hdl:2441/1gb0ntthu59, Sciences Po.
    38. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    39. Giulio Bottazzi & Pietro Dindo, 2010. "Evolution and market behavior with endogenous investment rules," LEM Papers Series 2010/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Christian Bauer & Paul De Grauwe & Stefan Reitz, 2007. "Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach," CESifo Working Paper Series 2080, CESifo.
    41. Deniz Erdemlioglu & Nikola Gradojevic, 2020. "Heterogeneous investment horizons, risk regimes, and realized jumps," Post-Print hal-02995997, HAL.
    42. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
    43. Chia-Hsuan Yeh, 2007. "The role of intelligence in time series properties," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 95-123, September.
    44. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
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    3. De Grauwe, Paul & Ji, Yuemei, 2016. "Inflation Targets And The Zero Lower Bound In A Behavioral Macroeconomic Model," CEPR Discussion Papers 11320, C.E.P.R. Discussion Papers.
    4. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    5. Hawkins, Raymond & Aoki, Masanao, 2008. "Macroeconomic Relaxation: Adjustment Processes of Hierarchical Economic Structures," Economics Discussion Papers 2008-35, Kiel Institute for the World Economy (IfW Kiel).
    6. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Market disequilibrium, monetary policy, and financial markets : insights from new tools," Documents de Travail de l'OFCE 2018-21, Observatoire Francais des Conjonctures Economiques (OFCE).
    7. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    8. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    9. Howitt, Peter & Özak, Ömer, 2014. "Adaptive consumption behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 37-61.
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    11. Alexandru Stan, 2015. "A Price Crash Alerting Strategy for Agent-based Artificial Financial Markets," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.
    12. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    13. Antonio Palestrini & Mauro Gallegati, 2015. "Unbiased Adaptive Expectation Schemes," Economics Bulletin, AccessEcon, vol. 35(2), pages 1185-1190.
    14. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    15. Shyam Gouri Suresh, 2015. "Rational versus Adaptive Expectations in an Agent-Based Model of a Barter Economy," Working Papers 15-02, Davidson College, Department of Economics.
    16. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.

  42. Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers Archive 12515, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    3. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," SciencePo Working papers Main hal-03443457, HAL.
    4. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    5. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    6. Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," ISU General Staff Papers 200701010800001419, Iowa State University, Department of Economics.
    7. David García & Dorian Tanase, 2013. "Measuring Cultural Dynamics Through The Eurovision Song Contest," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-33.
    8. Wood, Aaron D. & Mason, Charles F. & Finnoff, David, 2016. "OPEC, the Seven Sisters, and oil market dominance: An evolutionary game theory and agent-based modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PB), pages 66-78.
    9. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.
    10. Jisong Zhu & Zhaoxia Jing & Tianyao Ji & Nauman Ali Larik, 2020. "Energy–Economy Coupled Simulation Approach and Simulator Based on Invididual-Based Model," Energies, MDPI, vol. 13(11), pages 1-18, June.
    11. Jeffrey O’Neal London & Nasir Jamil Sheikh, 2020. "Innovation in African-American high-tech enterprises: a multi-agent approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 3101-3121, June.
    12. Naqvi, Asjad & Monasterolo, Irene, 2019. "Natural Disasters, Cascading Losses, and Economic Complexity: A Multi-layer Behavioral Network Approach," Ecological Economic Papers 24, WU Vienna University of Economics and Business.
    13. Tesfatsion, Leigh & Jie, Yu & Rehmann, Chris R. & Gutowski, William J., 2015. "WACCShed: A Platform for the Study of Watersheds as Dynamic Coupled Natural and Human Systems," ISU General Staff Papers 201512160800001226, Iowa State University, Department of Economics.
    14. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37307, Iowa State University, Department of Economics.
    15. Tesfatsion, Leigh, 2017. "Modeling economic systems as locally-constructive sequential games," ISU General Staff Papers 201712010800001022, Iowa State University, Department of Economics.
    16. Feldman, Todd & Friedman, Daniel, 2008. "Humans, Robots and Market Crashes: A Laboratory Study ∗," Santa Cruz Department of Economics, Working Paper Series qt4kf382p6, Department of Economics, UC Santa Cruz.
    17. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    18. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    19. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    20. João Bernardino & Tanya Araújo, 2013. "On positional consumption and technological innovation: an agent-based model," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1047-1071, November.
    21. Kyle Bahr & Masami Nakagawa, 2017. "The effect of bidirectional opinion diffusion on social license to operate," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1235-1245, August.
    22. Cardona Santos, Elsa & Storm, Hugo & Rasch, Sebastian, 2021. "The cost-effectiveness of conservation auctions in the presence of asset specificity: An agent-based model," Land Use Policy, Elsevier, vol. 102(C).
    23. João Bernardino & Tanya Araújo, 2010. "On Positional Consumption and Technological Innovation- an Agent-based Approach," Working Papers Department of Economics 2010/04, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    24. Chad Seagren, 2011. "Examining social processes with agent-based models," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 24(1), pages 1-17, March.
    25. Zhangqi, Zhong & Zhuli, Chen & Lingyun, He, 2022. "Technological innovation, industrial structural change and carbon emission transferring via trade-------An agent-based modeling approach," Technovation, Elsevier, vol. 110(C).
    26. Baghestanian, Sascha & Walker, Todd B., 2015. "Anchoring in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 15-25.
    27. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    28. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    29. Marcelo De Carvalho Pereira, 2014. "When Competition May Hinder Technologydiffusion: The Case Of Internet Access Services In Brazil," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 152, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    30. Muck, Johannes, 2016. "Tariff-mediated network effects with incompletely informed consumers," DICE Discussion Papers 210, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    31. Kaye-Blake, William & Schilling, Chris & Monaghan, Ross & Vibart, Ronaldo & Dennis, Samuel & Post, Elizabeth, 2019. "Quantification of environmental-economic trade-offs in nutrient management policies," Agricultural Systems, Elsevier, vol. 173(C), pages 458-468.
    32. McDonnell, Simon & Zellner, Moira, 2011. "Exploring the effectiveness of bus rapid transit a prototype agent-based model of commuting behavior," Transport Policy, Elsevier, vol. 18(6), pages 825-835, November.
    33. Denis Becker & Alexei Gaivoronski, 2014. "Stochastic optimization on social networks with application to service pricing," Computational Management Science, Springer, vol. 11(4), pages 531-562, October.
    34. Lilian N. Alessa & Melinda Laituri & C. Michael Barton, 2006. "An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-6.
    35. Frank M. A. Klingert & Matthias Meyer, 2012. "Effectively combining experimental economics and multi-agent simulation: suggestions for a procedural integration with an example from prediction markets research," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 63-90, March.
    36. Rennard, Jean-Philippe, 2006. "Artificiality in Social Sciences," MPRA Paper 1458, University Library of Munich, Germany.
    37. Guido Fioretti & Alessandro Lomi, 2007. "An Agent-Based Representation of the Garbage Can Model of Organizational Choice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-1.
    38. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    39. Aggio, Gustavo de Oliveira, 2011. "Emergência de convenções sociais - Uma análise a partir da simulação de interações descentralizadas caracterizadas pela disposição a imitação de comportamento," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(1), March.

  43. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. Sun, Junjie & Tesfatsion, Leigh, 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Staff General Research Papers Archive 12558, Iowa State University, Department of Economics.
    3. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Safarzynska, Karolina & van den Bergh, Jeroen C.J.M., 2011. "Industry evolution, rational agents and the transition to sustainable electricity production," Energy Policy, Elsevier, vol. 39(10), pages 6440-6452, October.
    5. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    6. Ly Sugianto, 2014. "Navigating Towards a Sustainable Electricity Supply in Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 8(6), pages 1-14, December.
    7. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    8. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    9. Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    10. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    11. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    12. Rolando Fuentes & Abhijit Sengupta, 2019. "Using Insurance to Manage Reliability in the Distributed Electricity Sector: Insights From an Agent-Based Model," Discussion Papers ks--2019-dp59, King Abdullah Petroleum Studies and Research Center.
    13. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    14. Sara Lumbreras & Sonja Wogrin & Guillermo Navarro & Ilaria Bertazzi & Maria Pereda, 2019. "A Decentralized Solution for Transmission Expansion Planning: Getting Inspiration from Nature," Energies, MDPI, vol. 12(23), pages 1-17, November.
    15. Zhe Xiao & Tinghua Li & Ming Huang & Jihong Shi & Jingjing Yang & Jiang Yu & Wei Wu, 2010. "Hierarchical MAS Based Control Strategy for Microgrid," Energies, MDPI, vol. 3(9), pages 1-17, September.
    16. Imran, Kashif & Hassan, Tehzeebul & Aslam, Muhammad Farooq & Ngan, Hon-Wing & Ahmad, Intesar, 2009. "Simulation analysis of emissions trading impact on a non-utility power plant," Energy Policy, Elsevier, vol. 37(12), pages 5694-5703, December.

  44. Leigh Tesfatsion, 2005. "Agent-Based Computational Laboratories for the Experimental Study of Complex Economic Systems," Computing in Economics and Finance 2005 72, Society for Computational Economics.

    Cited by:

    1. Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," ISU General Staff Papers 200701010800001419, Iowa State University, Department of Economics.
    2. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.

  45. Koesrindartoto, Deddy P. & Tesfatsion, Leigh, 2004. "Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach," Staff General Research Papers Archive 12326, Iowa State University, Department of Economics.

    Cited by:

    1. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    2. Sun, Junjie & Tesfatsion, Leigh, 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Staff General Research Papers Archive 12558, Iowa State University, Department of Economics.
    3. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Markose, Sheri & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007. "A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2001-2032, June.
    5. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.

  46. Leigh Tesfatsion & Mark Pingle, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," Computing in Economics and Finance 2003 7, Society for Computational Economics.

    Cited by:

    1. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    2. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    3. James W. Boudreau, 2008. "Stratification and Growth in Agent-based Matching Markets," Working papers 2008-30, University of Connecticut, Department of Economics.
    4. Richard B. Freeman, 2005. "Labour Market Institutions Without Blinders: The Debate over Flexibility and Labour Market Performance," NBER Working Papers 11286, National Bureau of Economic Research, Inc.
    5. Martin, Christian W. & Neugart, Michael, 2009. "Shocks and endogenous institutions: an agent-based model of labor market performance in turbulent times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57257, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
    7. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    8. Simon Gemkow & Michael Neugart, 2011. "Referral hiring, endogenous social networks, and inequality: an agent-based analysis," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 703-719, October.
    9. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    10. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    11. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
    12. Zach Lewkovicz & Jean-Daniel Kant, 2008. "A Multiagent Simulation Of A Stylized French Labor Market: Emergences At The Micro Level," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 217-230.

  47. Tesfatsion, Leigh, 2003. "Agent-Based Computational Economics," ISU General Staff Papers 200301010800001248, Iowa State University, Department of Economics.

    Cited by:

    1. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    2. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    3. David Colander & Peter Howitt & Alan Kirman & Axel Leijonhufvud & Perry Mehrling, 2008. "Beyond DSGE Models: Toward an Empirically Based Macroeconomics," American Economic Review, American Economic Association, vol. 98(2), pages 236-240, May.
    4. Sun, Junjie & Tesfatsion, Leigh, 2006. "DC Optimal Power Flow Formulation and Solution Using QuadProgJ," Staff General Research Papers Archive 12558, Iowa State University, Department of Economics.
    5. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    7. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    8. Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," ISU General Staff Papers 200701010800001419, Iowa State University, Department of Economics.
    9. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    10. Richard Freeman & Douglas Kruse & Joseph Blasi, 2008. "Worker Responses To Shirking Under Shared Capitalism," NBER Working Papers 14227, National Bureau of Economic Research, Inc.
    11. Buda, Rodolphe, 2005. "Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management," MPRA Paper 9145, University Library of Munich, Germany, revised 2007.
    12. Kruse, Douglas & Blasi, Joseph & Freeman, Richard B., 2004. "Monitoring colleagues at work: profit-sharing, employee ownership, broad-based stock options and workplace performance in the United States," LSE Research Online Documents on Economics 19943, London School of Economics and Political Science, LSE Library.
    13. Magda Fontana, 2006. "Computer simulations, mathematics and economics," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(1), pages 96-123, March.
    14. Jack Robles, 2008. "Evolution, bargaining, and time preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 35(1), pages 19-36, April.
    15. Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.
    16. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    17. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    18. Jeroen Bergh, 2007. "Evolutionary thinking in environmental economics," Journal of Evolutionary Economics, Springer, vol. 17(5), pages 521-549, October.
    19. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.
    20. Hommes, C.H., 2006. "Interacting agents in finance, entry written for the New Palgrave Dictionary of Economics, Second Edition, edited by L. Blume and S. Durlauf, Palgrave Macmillan, forthcoming 2006," CeNDEF Working Papers 06-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    21. Hokky Situngkir, 2004. "Money-Scape: A Generic Agent-Based Model of Corruption," Computational Economics 0405003, University Library of Munich, Germany.
    22. Alexander Smajgl, 2007. "Modelling evolving rules for the use of common-pool resources in an agent-based model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 56-80.
    23. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    24. Blom, Martin & Castellacci, Fulvio & Fevolden, Arne Martin, 2013. "The trade-off between innovation and defense industrial policy: A simulation model analysis of the Norwegian defense industry," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1579-1592.
    25. Denis Phan & Franck Varenne, 2010. "Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-5.
    26. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
    27. Andreas Fuster & Benjamin Hebert & David Laibson, 2012. "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 1-48.
    28. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Testing institutional arrangements via agent-based modeling: a U.S. electricity market example," ISU General Staff Papers 201002020800001088, Iowa State University, Department of Economics.
    29. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    30. Yazan, Devrim Murat & Fraccascia, Luca & Mes, Martijn & Zijm, Henk, 2018. "Cooperation in manure-based biogas production networks: An agent-based modeling approach," Applied Energy, Elsevier, vol. 212(C), pages 820-833.
    31. Alexander Smajgl, 2004. "Modelling the effect of learning and evolving rules on the use of common-pool resources," Computing in Economics and Finance 2004 178, Society for Computational Economics.
    32. Pfeuffer, Wolfgang, 2006. "Religion as a Seed Crystal for Altruistic Cooperation," Munich Dissertations in Economics 5788, University of Munich, Department of Economics.
    33. Yves Saillard, 2004. "L'analyse économique des normes : représentation et traitement des interactions dans les modèles de simulation," Post-Print halshs-00104866, HAL.
    34. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    35. Buda, Rodolphe, 2009. "Learning-Testing Process in Classroom: An Empirical Simulation Model," MPRA Paper 12146, University Library of Munich, Germany.
    36. David Colander, 2004. "Thinking Outside the Heterodox Box: Post Walrasian Macroeconomics and Heterodoxy," Middlebury College Working Paper Series 0424, Middlebury College, Department of Economics.
    37. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    38. G. Fagiolo & A. Roventini, 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    39. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.
    40. Hommes, C.H., 2007. "Complexity, Evolution and Learning: a simple story of heterogeneous expectations and some empirical and experimental validation," CeNDEF Working Papers 07-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    41. Chatterjee, Sidharta, 2011. "The Neuroeconomics of Learning and Information Processing; Applying Markov Decision Process," MPRA Paper 28883, University Library of Munich, Germany.
    42. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Sealed-Bid Auctions with Two-Dimensional Value Signals," Department Discussion Papers 0707, Department of Economics, University of Victoria.
    43. Rodolphe Buda, 2007. "Propositions for the Building of a Quantitative Austrian Modelling: An Answer to Prof. Rizzo and to Prof. Vriend," EconomiX Working Papers 2007-9, University of Paris Nanterre, EconomiX.
    44. Lamieri, Marco & Ietri, Daniele, 2004. "Innovation creation and diffusion in a social network: an agent based approach," MPRA Paper 445, University Library of Munich, Germany, revised 20 Oct 2006.
    45. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    46. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    47. Christian Wolff & Ron Jongen & Willem F.C. Verschoor & Remco C.J. Zwinkels, 2009. "Dispersion of Beliefs in the Foreign Exchange Market," LSF Research Working Paper Series 09-01, Luxembourg School of Finance, University of Luxembourg.
    48. Nick Vriend, 2000. "Was Hayek An Ace?," Computing in Economics and Finance 2000 272, Society for Computational Economics.
    49. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    50. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    51. Dawid, Herbert & Gemkow, Simon & Harting, Philipp & Kabus, Kordian & Neugart, Michael & Wersching, Klaus, 2008. "Skills, innovation, and growth: an agent-based policy analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57260, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    54. Spiliopoulos, Leonidas, 2009. "Neural networks as a learning paradigm for general normal form games," MPRA Paper 16765, University Library of Munich, Germany.
    55. Haydée Lugo & Raúl Jiménez, 2006. "Incentives to Cooperate in Network Formation," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 15-27, August.
    56. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
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    58. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
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    60. Leonardo Bargigli, 2005. "An evolutionary model for the dynamics of vertical integration and network-based production," Industrial Organization 0509002, University Library of Munich, Germany.
    61. Thorsten Lehnert & Bart Frijns & Remco Zwinkels, 2009. "Behavioral Heterogeneity in the Option Market," LSF Research Working Paper Series 09-07, Luxembourg School of Finance, University of Luxembourg.
    62. Leonardo Bargigli, 2005. "The limits of modularity in innovation and production," KITeS Working Papers 176, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2005.
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    64. Nannen, Volker & van den Bergh, Jeroen C. J. M. & Eiben, A. E., 2008. "Impact of Environmental Dynamics on Economic Evolution: Uncertainty, Risk Aversion, and Policy," MPRA Paper 13834, University Library of Munich, Germany.
    65. Rodolphe Buda, 2008. "Two Dimensional Aggregation Procedure: An Alternative to the Matrix Algebraic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 31(4), pages 397-408, May.
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    67. Myong-Hun Chang, 2009. "Industry dynamics with knowledge-based competition: a computational study of entry and exit patterns," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 73-114, June.
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    75. Sasaki, Yuya, 2004. "The Equivalence Of Evolutionary Games And Distributed Monte Carlo Learning," Economics Research Institute, ERI Series 28338, Utah State University, Economics Department.
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  48. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.

    Cited by:

    1. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    2. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    3. James W. Boudreau, 2008. "Stratification and Growth in Agent-based Matching Markets," Working papers 2008-30, University of Connecticut, Department of Economics.
    4. Richard B. Freeman, 2005. "Labour Market Institutions Without Blinders: The Debate over Flexibility and Labour Market Performance," NBER Working Papers 11286, National Bureau of Economic Research, Inc.
    5. Martin, Christian W. & Neugart, Michael, 2009. "Shocks and endogenous institutions: an agent-based model of labor market performance in turbulent times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57257, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
    7. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    8. Simon Gemkow & Michael Neugart, 2011. "Referral hiring, endogenous social networks, and inequality: an agent-based analysis," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 703-719, October.
    9. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    10. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.

  49. Tesfatsion, Leigh S., 2002. "Economic Agents and Markets As Emergent Phenomena," Staff General Research Papers Archive 10033, Iowa State University, Department of Economics.

    Cited by:

    1. Baumann, Michael Heinrich & Baumann, Michaela & Erler, Alexander, 2019. "Limitations of stabilizing effects of fundamentalists: Facing positive feedback traders," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-26.
    2. Hazhir Rahmandad & John Sterman, 2008. "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models," Management Science, INFORMS, vol. 54(5), pages 998-1014, May.
    3. Cristina Ponsiglione & Ivana Quinto & Giuseppe Zollo, 2018. "Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    4. Upadhyay, Shashankaditya & Banerjee, Anirban & Panigrahi, Prasanta K., 2020. "Causal evolution of global crisis in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    5. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
    6. Jean Louis Dessalles & Denis Phan, 2005. "Emergence in multi-agent systems:Cognitive hierarchy, detection, and complexity reduction," Computing in Economics and Finance 2005 257, Society for Computational Economics.
    7. Upadhyay, Shashankaditya & Mukherjee, Indranil & Panigrahi, Prasanta K., 2023. "Inner composition alignment networks reveal financial impacts of COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

  50. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.

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    1. van de Gevel, A.J.W. & Noussair, C.N., 2012. "The Nexus between Artificial Intelligence and Economics," Discussion Paper 2012-087, Tilburg University, Center for Economic Research.
    2. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
    3. Lazebnik, Teddy & Shami, Labib & Bunimovich-Mendrazitsky, Svetlana, 2023. "Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    5. Lamieri, Marco & Bertacchini, Enrico, 2006. "What if Hayek goes shopping in the bazaar?," MPRA Paper 367, University Library of Munich, Germany, revised 21 Jun 2006.
    6. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Exploration of the Parameter Space in Macroeconomic Agent-Based Models," Papers 2111.08654, arXiv.org, revised Aug 2022.
    7. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Nick Hanley & Simanti Banerjee & Gareth D. Lennox & Paul R. Armsworth, 2012. "How should we incentivize private landowners to ‘produce’ more biodiversity?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(1), pages 93-113, Spring.
    9. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2018. "Simulation of Stylized Facts in Agent-Based Computational Economic Market Models," Papers 1812.02726, arXiv.org, revised Nov 2019.
    10. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    11. Babanov, A. & Ketter, W. & Gini, M., 2008. "An Evolutionary Framework for Determining Heterogeneous Strategies in Multi-Agent Marketplaces," ERIM Report Series Research in Management ERS-2008-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    13. Li, Gong & Shi, Jing & Qu, Xiuli, 2011. "Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review," Energy, Elsevier, vol. 36(8), pages 4686-4700.
    14. Janmaat, J. & Lapp, S. & Wannop, T. & Bharati, Luna & Sugden, Fraser, 2015. "Demonstrating complexity with a roleplaying simulation: investing in water in the Indrawati Subbasin, Nepal," IWMI Research Reports 229585, International Water Management Institute.
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    30. Sergey Slobodyan & Andreas Ortmann, 2004. "(The Evolution of) Post-Secondary Education: A Computational Model and Experiments," Computing in Economics and Finance 2004 318, Society for Computational Economics.
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    34. Denis Phan & Franck Varenne, 2010. "Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-5.
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    38. Ghaninejad, Mousa, 2020. "عرضه، تقاضا، و پیشنهاد قیمت در بازار برق ایران [Supply, Demand, and Bidding in Iran’s Electricity Market]," MPRA Paper 105340, University Library of Munich, Germany.
    39. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
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    42. Filippo Neri, 2020. "How to Identify Investor's types in real financial markets by means of agent based simulation," Papers 2101.03127, arXiv.org.
    43. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
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    45. JeongWook Son, 2022. "Complexity and Dynamics in Construction Project Organizations," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    46. Daniel Farhat, 2010. "Virtually Science: An Agent-based Model of the Rise and Fall of Scientific Research Programs," Working Papers 1015, University of Otago, Department of Economics, revised Oct 2010.
    47. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    48. Giulioni, Gianfranco, 2015. "Policy interest rate, loan portfolio management and bank liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 52-74.
    49. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    50. Ribin Lye & James Peng Lung Tan & Siew Ann Cheong, 2012. "Understanding agent-based models of financial markets: a bottom-up approach based on order parameters and phase diagrams," Papers 1202.0606, arXiv.org.
    51. Dan Farhat, 2013. "An Agent-based Model of Interdisciplinary Science and the Evolution of Scientific Research Networks," Working Papers 1302, University of Otago, Department of Economics, revised Jan 2013.
    52. Nicolas Petit & Thibault Schrepel, 2023. "Complexity-minded antitrust," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 541-570, April.
    53. Tian, Songtao & Liu, Zhirong, 2020. "Emergence of income inequality: Origin, distribution and possible policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    54. Will, Christian & Zimmermann, Florian & Ensslen, Axel & Fraunholz, Christoph & Jochem, Patrick & Keles, Dogan, 2023. "Can electric vehicle charging be carbon neutral? Uniting smart charging and renewables," Working Paper Series in Production and Energy 69, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
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    41. Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2022. "Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities," Energies, MDPI, vol. 15(20), pages 1-25, October.
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    48. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    49. Dawid, Herbert & Gemkow, Simon & Harting, Philipp & Kabus, Kordian & Neugart, Michael & Wersching, Klaus, 2008. "Skills, innovation, and growth: an agent-based policy analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57260, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    50. Sinitskaya, Ekaterina & Tesfatsion, Leigh, 2015. "Macroeconomies as constructively rational games," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 152-182.
    51. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    52. Sinitskaya, Ekaterina, 2014. "Computational modeling of an economy using elements of artificial intelligence," ISU General Staff Papers 201401010800005291, Iowa State University, Department of Economics.
    53. Zou, Xiaoyan, 2009. "Double-sided auction mechanism design in electricity based on maximizing social welfare," Energy Policy, Elsevier, vol. 37(11), pages 4231-4239, November.
    54. Atakelty Hailu & Sophie Thoyer, 2010. "What Format for Multi-Unit Multiple-Bid Auctions?," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 189-209, March.
    55. Nicholas Shunda, 2005. "Strategic Behavior in Day-Ahead and Real-Time Markets for Electricity: Offer Cost or Payment Cost Minimization?," Working papers 2005-48, University of Connecticut, Department of Economics.
    56. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    57. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Emission tax vs. permit trading under bounded rationality and dynamic markets," Energy Policy, Elsevier, vol. 148(PB).
    58. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    59. Somani, Abhishek, 2012. "Financial risk management and market performance in restructured electric power markets: Theoretical and agent-based test bed studies," ISU General Staff Papers 201201010800003479, Iowa State University, Department of Economics.
    60. Fernando S. Oliveira & Derek W. Bunn & London Business School, 2006. "Modeling the strategic trading of electricity assets," Computing in Economics and Finance 2006 235, Society for Computational Economics.
    61. Atakelty Hailu & Sophie Thoyer, 2007. "Designing multi-unit multiple bid auctions: an agent-based computational model of uniform, discriminatory and generalised Vickrey Auctions [Le format des enchères multi-unitaires : un modèle de sim," Post-Print hal-02664994, HAL.
    62. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.
    63. Bunn, Derek & Yusupov, Tim, 2015. "The progressive inefficiency of replacing renewable obligation certificates with contracts-for-differences in the UK electricity market," Energy Policy, Elsevier, vol. 82(C), pages 298-309.
    64. Esmaeili Aliabadi, Danial & Kaya, Murat & Sahin, Guvenc, 2017. "Competition, risk and learning in electricity markets: An agent-based simulation study," Applied Energy, Elsevier, vol. 195(C), pages 1000-1011.
    65. Ning Wang & Weisheng Xu & Weihui Shao & Zhiyu Xu, 2019. "A Q-Cube Framework of Reinforcement Learning Algorithm for Continuous Double Auction among Microgrids," Energies, MDPI, vol. 12(15), pages 1-26, July.
    66. E. J. Anderson & T. D. H. Cau, 2009. "Modeling Implicit Collusion Using Coevolution," Operations Research, INFORMS, vol. 57(2), pages 439-455, April.
    67. Rahimiyan, Morteza & Rajabi Mashhadi, Habib, 2010. "Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics," Energy Policy, Elsevier, vol. 38(3), pages 1588-1595, March.
    68. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
    69. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    70. Uyikumhe Damisa & Nnamdi I. Nwulu, 2022. "Blockchain-Based Auctioning for Energy Storage Sharing in a Smart Community," Energies, MDPI, vol. 15(6), pages 1-12, March.
    71. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    72. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.
    73. Atakelty Hailu & Sophie Thoyer, 2006. "Multi-unit auction format design," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(2), pages 129-146, November.
    74. Narine Udumyan & Juliette Rouchier & Dominique Ami, 2014. "Integration of Path-Dependency in a Simple Learning Model: The Case of Marine Resources," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 199-231, February.
    75. Shengnan Zhao & Beibei Wang & Yachao Li & Yang Li, 2018. "Integrated Energy Transaction Mechanisms Based on Blockchain Technology," Energies, MDPI, vol. 11(9), pages 1-19, September.
    76. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.
    77. Florian Kuhnlenz & Pedro H. J. Nardelli & Santtu Karhinen & Rauli Svento, 2017. "Implementing Flexible Demand: Real-time Price vs. Market Integration," Papers 1709.02667, arXiv.org, revised Feb 2018.
    78. Jian Wang & Qianggang Wang & Niancheng Zhou & Yuan Chi, 2017. "A Novel Electricity Transaction Mode of Microgrids Based on Blockchain and Continuous Double Auction," Energies, MDPI, vol. 10(12), pages 1-22, November.
    79. Dina A. Zaki & Mohamed Hamdy, 2022. "A Review of Electricity Tariffs and Enabling Solutions for Optimal Energy Management," Energies, MDPI, vol. 15(22), pages 1-17, November.
    80. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    81. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.
    82. Rashidova E.A., 2017. "Agent-based modeling of wholesale electricity market," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 70-85.
    83. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.

  52. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits And The Evolution Of Worker-Employer Cooperation: Experiments With Real And Computational Agents," Economic Reports 18190, Iowa State University, Department of Economics.

    Cited by:

    1. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Sergey Slobodyan & Andreas Ortmann, 2004. "(The Evolution of) Post-Secondary Education: A Computational Model and Experiments," Computing in Economics and Finance 2004 318, Society for Computational Economics.
    4. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    5. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
    6. Kimbrough, Erik O., 2011. "Heuristic learning and the discovery of specialization and exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 491-511, April.
    7. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    8. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    9. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.

  53. Tesfatsion, Leigh, 2001. "Nonlocal Sensitivity Analysis with Automatic Differentiation," Staff General Research Papers Archive 1990, Iowa State University, Department of Economics.

    Cited by:

    1. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.

  54. Tesfatsion, Leigh S., 2001. "Guest Editorial: Agent-Based Modeling of Evolutionary Economic Systems," Staff General Research Papers Archive 10037, Iowa State University, Department of Economics.

    Cited by:

    1. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    2. Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.

  55. Tesfatsion, Leigh, 2001. "Agent-Based Computational Economics: A Guide to the Literature," Staff General Research Papers Archive 1974, Iowa State University, Department of Economics.

    Cited by:

    1. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    2. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 63-88, February.
    3. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    4. Shi-Woei Lin & Hui-Lung Huang, 2007. "Agent-Based Modeling To Investigate The Disposition Effect In Financial Markets," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 145-163.
    5. Fadiran, Gideon & Fadiran, David & Ibn-Mohammed, Taofeeq, 2017. "Macroeconomic Policy effects on development transition – Views from Agent based model," MPRA Paper 103197, University Library of Munich, Germany, revised Dec 2018.

  56. Tesfatsion, Leigh S., 2001. "Introduction to the Special Issue on Agent-Based Computational Economics," Staff General Research Papers Archive 10038, Iowa State University, Department of Economics.

    Cited by:

    1. Rodolphe Buda, 2007. "Propositions for the Building of a Quantitative Austrian Modelling: An Answer to Prof. Rizzo and to Prof. Vriend," Working Papers hal-04139234, HAL.
    2. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    3. van de Gevel, A.J.W. & Noussair, C.N., 2012. "The Nexus between Artificial Intelligence and Economics," Discussion Paper 2012-087, Tilburg University, Center for Economic Research.
    4. Christopher Boyer & B. Brorsen & Tong Zhang, 2014. "Common-value auction versus posted-price selling: an agent-based model approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(1), pages 129-149, April.
    5. Heshmati, Almas & Lenz-Cesar, Flávio, 2014. "Policy Simulation of Firms Cooperation in Innovation," Working Paper Series in Economics and Institutions of Innovation 357, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    6. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
    7. Yu, Tongkui & Chen, Shu-Heng & Li, Honggang, 2011. "Social Norm, Costly Punishment and the Evolution to Cooperation," MPRA Paper 28814, University Library of Munich, Germany.
    8. Fiore, Annamaria, 2009. "Experimental Economics: Some Methodological Notes," MPRA Paper 12498, University Library of Munich, Germany.
    9. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
    10. Keiki Takadama & Takao Terano & Katsunori Shimohara, 2003. "Interpretation by Implementation for Understanding a Multiagent Organization," Computational and Mathematical Organization Theory, Springer, vol. 9(1), pages 19-35, May.
    11. McArthur, David & Thorsen, Inge & Ubøe, Jan, 2008. "An agent-based computational approach to explaining persistent spatial unemployment disparities," Discussion Papers 2008/17, Norwegian School of Economics, Department of Business and Management Science.
    12. Mattheos K. Protopapas & Elias B. Kosmatopoulos, 2009. "Simulation and Use of Heuristics for Peripheral Economic Policy," Papers 0905.3808, arXiv.org.
    13. Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
    14. Vincze, János & Varga, Gergely, 2016. "Megtakarítási típusok - egy adaptív-evolúciós megközelítés [Types of saving - an adaptive-evolutionary approach]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 162-187.
    15. Steven Manson & David O'Sullivan, 2006. "Complexity Theory in the Study of Space and Place," Environment and Planning A, , vol. 38(4), pages 677-692, April.
    16. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
    17. Brorsen B. Wade & Fain James R. & Maples Joshua G., 2018. "Alternative Policy Responses to Increased Use of Formula Pricing," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-11, January.
    18. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
    19. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    20. Alexander Smajgl, 2007. "Modelling evolving rules for the use of common-pool resources in an agent-based model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 56-80.
    21. Martin, Christian W. & Neugart, Michael, 2009. "Shocks and endogenous institutions: an agent-based model of labor market performance in turbulent times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57257, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    22. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    23. Alexander Smajgl, 2004. "Modelling the effect of learning and evolving rules on the use of common-pool resources," Computing in Economics and Finance 2004 178, Society for Computational Economics.
    24. Alessandro Perrone & Gianluigi Ferraris, 2004. "Intelligent Versus Random Beavers—an Agent‐Based Approach in Facing the Busy Beaver Problem," Metroeconomica, Wiley Blackwell, vol. 55(2‐3), pages 332-344, May.
    25. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    26. Ibrahim Ari & Muammer Koc, 2019. "Sustainable Financing for Sustainable Development: Agent-Based Modeling of Alternative Financing Models for Clean Energy Investments," Sustainability, MDPI, vol. 11(7), pages 1-34, April.
    27. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
    28. Cai, Ning & Ma, Hai-Ying & Khan, M. Junaid, 2015. "Agent-based model for rural–urban migration: A dynamic consideration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 806-813.
    29. Christopher N. Boyer & B. Wade Brorsen & James R. Fain, 2015. "Private‐Value Auction Versus Posted‐Price Selling: An Agent‐Based Model Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(4), pages 249-262, October.
    30. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    31. Marcel Ausloos & Franck Jovanovic & Christophe Schinckus, 2016. "On the "usual" misunderstandings between econophysics and finance: some clarifications on modelling approaches and efficient market hypothesis," Papers 1606.02045, arXiv.org.
    32. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    33. Cyril Schoreels & Jonathan M. Garibaldi, 2006. "Comparative study of central decision makers versus groups of evolved agents trading in equity markets," Computing in Economics and Finance 2006 410, Society for Computational Economics.
    34. Li, Yan & Ye, Hang, 2018. "Effect of the migration mechanism based on risk preference on the evolution of cooperation," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 621-632.
    35. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    36. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    37. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    38. Megyeri, Krisztina, 2001. "A pénz mint általános csereeszköz modellezése [Modelling money as a general medium of exchange]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 307-319.
    39. Lijian Wei & Wei Zhang & Xiong Xiong & Yu Zhao, 2014. "A Multi‐agent System for Policy Design of Tick Size in Stock Index Futures Markets," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 512-526, July.
    40. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
    41. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits and monetary policies," LSE Research Online Documents on Economics 103502, London School of Economics and Political Science, LSE Library.
    42. McArthur, D.P. & Thorsen, I. & Ubøe, J., 2012. "Labour market effects in assessing the costs and benefits of road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 310-321.
    43. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    44. Happe, Kathrin, 2004. "Agricultural policies and farm structures: Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
    45. Kathrin Happe, 2005. "Agricultural policies and farm structures - agent-based simulation and application to EU-policy reform," Others 0504011, University Library of Munich, Germany.
    46. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Norwegian School of Economics, Department of Business and Management Science.
    47. Christopher Boyer & B. Brorsen, 2014. "Implications of a Reserve Price in an Agent-Based Common-Value Auction," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 33-51, January.
    48. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," CERS-IE WORKING PAPERS 1135, Institute of Economics, Centre for Economic and Regional Studies.
    49. Koye Somefun, 2001. "Posted Offer versus Bargaining: An Example of how Institutions can Facilitate Learning," Computing in Economics and Finance 2001 79, Society for Computational Economics.
    50. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    51. Denis Becker & Alexei Gaivoronski, 2014. "Stochastic optimization on social networks with application to service pricing," Computational Management Science, Springer, vol. 11(4), pages 531-562, October.
    52. Michael S. Harr'e, 2018. "Multi-agent Economics and the Emergence of Critical Markets," Papers 1809.01332, arXiv.org.
    53. Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
    54. Egan, Malcolm & Jakob, Michal, 2016. "Market mechanism design for profitable on-demand transport services," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 178-195.
    55. Voudouris, Vlasios & Matsumoto, Ken'ichi & Sedgwick, John & Rigby, Robert & Stasinopoulos, Dimitrios & Jefferson, Michael, 2014. "Exploring the production of natural gas through the lenses of the ACEGES model," Energy Policy, Elsevier, vol. 64(C), pages 124-133.
    56. Chao Bi & Jingjing Zeng & Wanli Zhang & Yonglin Wen, 2020. "Modelling the Coevolution of the Fuel Ethanol Industry, Technology System, and Market System in China: A History-Friendly Model," Energies, MDPI, vol. 13(5), pages 1-26, February.
    57. Havran, Dániel, 2008. "Pénzgazdálkodási szokások hatása a működőtőkére. A Magyar Posta példája [The effect of financial management habits on operating capital. The example of the Hungarian Post Office]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 907-926.
    58. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    59. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute of Labor Economics (IZA).
    60. Boer-Sorban, K. & de Bruin, A. & Kaymak, U., 2005. "On the Design of Artificial Stock Markets," ERIM Report Series Research in Management ERS-2005-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    61. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
    62. Schmidt, Andreas U., 2006. "Multi-level markets and incentives for information goods," Information Economics and Policy, Elsevier, vol. 18(2), pages 125-138, June.

  57. Leigh Tesfatsion, 2000. "Agent-Based Computational Economics: A Brief Guide to the Literature," Computational Economics 0004001, University Library of Munich, Germany.

    Cited by:

    1. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    2. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 63-88, February.
    3. Davide Bazzana, 2020. "Ageing population and pension system sustainability: reforms and redistributive implications," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 971-992, October.
    4. Roberto Leombruni, 2002. "The Methodological Status of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 19, LABORatorio R. Revelli, Centre for Employment Studies.
    5. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    6. Sasaki, Yuya, 2004. "The Equivalence Of Evolutionary Games And Distributed Monte Carlo Learning," Economics Research Institute, ERI Series 28338, Utah State University, Economics Department.

  58. Nicolaisen, James & Smith, Matthew & Petrov, Valentin & Tesfatsion, Leigh, 2000. "Concentration and Capacity Effects on Electricity Market Power," Staff General Research Papers Archive 1847, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh & Petrov, Valentin & Nicolaisen, James, 2001. "Market Power And Efficiency In A Computational Electricity Market With Discriminatory Double-Auction Pricing," Economic Reports 18195, Iowa State University, Department of Economics.
    2. Koesrindartoto, Deddy P., 2002. "Discrete Double Auctions with Artificial Adaptive Agents: A Case Study of an Electricity Market Using a Double Auction Simulator," Staff General Research Papers Archive 10017, Iowa State University, Department of Economics.
    3. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo & Möst, Dominik, 2007. "Agent-based simulation of electricity markets: a literature review," Working Papers "Sustainability and Innovation" S5/2007, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    5. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
    6. Rashidova E.A., 2017. "Agent-based modeling of wholesale electricity market," World of economics and management / Vestnik NSU. Series: Social and Economics Sciences, Socionet, vol. 17(1), pages 70-85.

  59. Tesfatsion, Leigh & Stewart, Deron & McFadzean, David, 2000. "A Computational Laboratory For Evolutionary Trade Networks," Economic Reports 18199, Iowa State University, Department of Economics.

    Cited by:

    1. Babanov, A. & Ketter, W. & Gini, M., 2008. "An Evolutionary Framework for Determining Heterogeneous Strategies in Multi-Agent Marketplaces," ERIM Report Series Research in Management ERS-2008-002-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    3. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    4. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits And The Evolution Of Worker-Employer Cooperation: Experiments With Real And Computational Agents," Economic Reports 18190, Iowa State University, Department of Economics.
    5. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    6. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    7. Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
    8. Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
    9. Alan G. Isaac, 2008. "Simulating Evolutionary Games: A Python-Based Introduction," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-8.
    10. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.
    11. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.

  60. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.

    Cited by:

    1. Vera Anatolyevna Gnevasheva, 2018. "Justification Of The Economic Model Of Labour Force Formation," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 12(1), pages 29-36.
    2. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    3. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    4. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    5. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
    6. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    7. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    8. Filippo Vergara Caffarelli, 2009. "Networks with decreasing returns to linking," Temi di discussione (Economic working papers) 734, Bank of Italy, Economic Research and International Relations Area.

  61. Tesfatsion, Leigh, 1999. "Structure, Behavior, And Market Power In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18197, Iowa State University, Department of Economics.

    Cited by:

    1. Jianjun Lu & Shozo Tokinaga, 2016. "Cluster fluctuation in two-dimensional lattices with local interactions," Computational and Mathematical Organization Theory, Springer, vol. 22(2), pages 237-259, June.
    2. Neugart, Michael, 2006. "Labor market policy evaluation with an agent-based model," MPRA Paper 4726, University Library of Munich, Germany.
    3. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    4. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics Discussion Papers 2010-4, Kiel Institute for the World Economy (IfW Kiel).
    5. Giovanni Dosi & Giorgio Fagiolo & Roberto Gabriele, 2004. "Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities," LEM Papers Series 2004/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Tesfatsion, Leigh & Petrov, Valentin & Nicolaisen, James, 2001. "Market Power And Efficiency In A Computational Electricity Market With Discriminatory Double-Auction Pricing," Economic Reports 18195, Iowa State University, Department of Economics.
    7. Orsolya Hau-Horváth & Tamás Mellár & Tamás Sebestyén, 2012. "Láthatóvá tehető-e a láthatatlan kéz? Egy ágens-alapú piaci modell tapasztalatai," UPFBE Working Paper Series 2012/4, Faculty of Business and Economics, University Pécs.
    8. James W. Boudreau, 2008. "Stratification and Growth in Agent-based Matching Markets," Working papers 2008-30, University of Connecticut, Department of Economics.
    9. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Economic Policies with Endogenous Innovation and Keynesian Demand Management," Post-Print hal-01410703, HAL.
    10. Ninghua Wang & Lin Liu & John E Eck, 2014. "Analyzing Crime Displacement with a Simulation Approach," Environment and Planning B, , vol. 41(2), pages 359-374, April.
    11. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "Schumpeter Meeting Keynes: A Policy-Friendly Model of Endogenous Growth and Business Cycles," Working Papers 50/2008, University of Verona, Department of Economics.
    12. Martin, Christian W. & Neugart, Michael, 2009. "Shocks and endogenous institutions: an agent-based model of labor market performance in turbulent times," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57257, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. Petra Ahrweiler & Michel Schilperoord & Nigel Gilbert & Andreas Pyka, 2012. "Simulating the Role of MNCs for Knowledge and Capital Dynamics in Networks of Innovation," Chapters, in: Martin Heidenreich (ed.), Innovation and Institutional Embeddedness of Multinational Companies, chapter 6, Edward Elgar Publishing.
    14. Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
    15. Akyol, Metin & Neugart, Michael & Pichler, Stefan, 2015. "A tradable employment quota," Labour Economics, Elsevier, vol. 36(C), pages 48-63.
    16. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
    17. McFadzean, David & Stewart, Deron & Tesfatsion, Leigh S., 2001. "A Computational Laboratory for Evolutionary Trade Networks," Staff General Research Papers Archive 2049, Iowa State University, Department of Economics.
    18. Nie, Pu-yan & Wang, Chan & Yang, Yong-cong, 2019. "Vertical integration maintenance commitments," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 11-16.
    19. Dan Farhat, 2011. "Bookworms versus Party Animals: An Artificial Labor Market with Human and Social Capital Accumulation," Working Papers 1103, University of Otago, Department of Economics, revised May 2011.
    20. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits And The Evolution Of Worker-Employer Cooperation: Experiments With Real And Computational Agents," Economic Reports 18190, Iowa State University, Department of Economics.
    21. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57259, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    22. Diego d’Andria, 2019. "Tax policy and entrepreneurial entry with information asymmetry and learning," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(5), pages 1211-1229, October.
    23. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    24. Gabriele Cardullo & Eric Guerci, 2018. "Interpreting the Beveridge curve: an agent-based approach," Post-Print halshs-01929041, HAL.
    25. Nie, Pu-yan, 2009. "Commitment for storable goods under vertical integration," Economic Modelling, Elsevier, vol. 26(2), pages 414-417, March.
    26. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    27. Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
    28. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.
    29. Sandra Tavares Silva & Aurora A.C. Teixeira, 2006. "An evolutionary model of firms' institutional behavior focusing on labor decisions," FEP Working Papers 227, Universidade do Porto, Faculdade de Economia do Porto.
    30. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.

  62. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.

    Cited by:

    1. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

  63. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.

    Cited by:

    1. Rodrigo J. Harrison & Roberto Munoz, 2003. "Stability and Equilibrium Selection in a Link Formation Game," Game Theory and Information 0306004, University Library of Munich, Germany.
    2. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    3. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    4. Francis Bloch (GREQAM and Universite de la Mediterranee), Garance Genicot (Georgetown University, and Debraj Ray (New York University and Instituto de Analisis Economico (CSIC)), 2004. "Informal Insurance in Social Networks," Working Papers gueconwpa~04-04-16, Georgetown University, Department of Economics.
    5. Matthew O. Jackson, 2003. "A Survey of Models of Network Formation: Stability and Efficiency," Game Theory and Information 0303011, University Library of Munich, Germany.
    6. Faggini, Marisa & Bruno, Bruna & Parziale, Anna, 2019. "Crises in economic complex networks: Black Swans or Dragon Kings?," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 105-115.
    7. Dutta, Bhaskar & Ghosal, Sayantan & Ray, Debraj, 2005. "Farsighted network formation," Journal of Economic Theory, Elsevier, vol. 122(2), pages 143-164, June.
    8. Rodrigo Harrison, 2003. "Global Games with Strategic Substitutes," Working Papers gueconwpa~03-03-06, Georgetown University, Department of Economics.
    9. Matthew O. Jackson, 2002. "The Stability and Efficiency of Economic and Social Networks," Microeconomics 0211011, University Library of Munich, Germany.
    10. Yangbo Song & Mihaela Schaar, 2020. "Dynamic network formation with foresighted agents," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(2), pages 345-384, June.

  64. Pingle, M. & Tesfatsion, Leigh S., 1998. "Active Intermediation in an Monetary Overlapping Generations Economy," Staff General Research Papers Archive 1227, Iowa State University, Department of Economics.

    Cited by:

    1. Pingle, M. & Tesfatsion, Leigh S., 1998. "Active Intermediation in Overlapping Generations Economies with Production and Unsecured Debt," Staff General Research Papers Archive 1228, Iowa State University, Department of Economics.
    2. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.

  65. Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers Archive 2048, Iowa State University, Department of Economics.

    Cited by:

    1. Neugart, Michael, 2006. "Labor market policy evaluation with an agent-based model," MPRA Paper 4726, University Library of Munich, Germany.
    2. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    3. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    4. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    5. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    6. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    7. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    8. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
    9. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57259, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    11. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    12. Matteo Richiardi, 2003. "On the Use of Agent-Based Simulations," LABORatorio R. Revelli Working Papers Series 32, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Moreno Baruffini, 2013. "An agent-based simulation of the Swiss labour market : an alternative for the labour market policy evaluation," ERSA conference papers ersa13p216, European Regional Science Association.

  66. Tesfatsion, Leigh, 1998. "Ex Ante Capacity Effects In Evolutionary Labor Markets With Adaptive Search," Economic Reports 18198, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    2. Tomas B. Klos, 1999. "Decentralized Interaction and Co-Adaptation in the Repeated Prisoner&2018;s Dilemma," Computational and Mathematical Organization Theory, Springer, vol. 5(2), pages 147-165, July.

  67. Pingle, M. & Tesfatsion, Leigh S., 1998. "Active Intermediation in Overlapping Generations Economies with Production and Unsecured Debt," Staff General Research Papers Archive 1228, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers Archive 12402, Iowa State University, Department of Economics.
    2. Magill, Michael & Quinzii, Martine, 2003. "Nonshiftable capital, affine price expectations and convergence to the Golden Rule," Journal of Mathematical Economics, Elsevier, vol. 39(3-4), pages 239-272, June.
    3. Kim, Jae Kyeong, 1997. "Social security trust fund (SSTF), the government fiscal use of the SSTF, and intergenerational equity," ISU General Staff Papers 1997010108000012996, Iowa State University, Department of Economics.

  68. McFadzean, David & Tesfatsion, Leigh, 1997. "An Agent-Based Computational Model for the Evolution of Trade Networks," Staff General Research Papers Archive 1686, Iowa State University, Department of Economics.

    Cited by:

    1. Dawid, Herbert, 2000. "On the emergence of exchange and mediation in a production economy," Journal of Economic Behavior & Organization, Elsevier, vol. 41(1), pages 27-53, January.
    2. Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
    3. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.

  69. Orazem, Peter & Tesfatsion, Leigh S., 1997. "Macrodynamic Implications of Income Transfer Policies for Human Capital Investment and School Effort," Staff General Research Papers Archive 1683, Iowa State University, Department of Economics.

    Cited by:

    1. Zilcha, Itzhak, 2003. "Intergenerational transfers, production and income distribution," Journal of Public Economics, Elsevier, vol. 87(3-4), pages 489-513, March.
    2. Jean‐Marie Viaene & Itzhak Zilcha, 2009. "Human Capital and Inequality Dynamics: The Role of Education Technology," Economica, London School of Economics and Political Science, vol. 76(304), pages 760-778, October.
    3. Cooper, Suzanne J, 1998. "A Positive Theory of Income Redistribution," Journal of Economic Growth, Springer, vol. 3(2), pages 171-195, June.
    4. Lisardo Erman & Daniel Marcel Kaat, 2019. "Inequality and growth: industry-level evidence," Journal of Economic Growth, Springer, vol. 24(3), pages 283-308, September.
    5. Jean-Marie Viaene & Itzhak Zilcha, 2000. "Optimal Education with Mobile Capital. An OLG Approach (new title: Optimal Public Education under Capital Mobility)," CESifo Working Paper Series 289, CESifo.
    6. Bernhard Eckwert & Itzhak Zilcha, 2007. "The Effect of Better Information on Income Inequality," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(2), pages 287-307, August.
    7. Leonid Azarnert, 2010. "Juvenile imprisonment and human capital investment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 23-33, March.
    8. Koichi Futagami & Mitsuyoshi Yanagihara, 2008. "Private And Public Education: Human Capital Accumulation Under Parental Teaching," The Japanese Economic Review, Japanese Economic Association, vol. 59(3), pages 275-291, September.
    9. Zilcha, Ithak & Eckwert, Bernhard, 2006. "Private Investments in Higher Education: Comparing Alternative Funding Schemes," Foerder Institute for Economic Research Working Papers 275701, Tel-Aviv University > Foerder Institute for Economic Research.
    10. Woźny, Łukasz & Growiec, Jakub, 2008. "Intergenerational interactions in human capital accumulation," MPRA Paper 10308, University Library of Munich, Germany.
    11. Drees, Burkhard & Eckwert, Bernhard, 2010. "Implications of more precise information for technological development and economic welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 266-279, February.
    12. Bandyopadhyay, Debasis & Basu, Parantap, 1999. "The Growth-Inequality Relationship in A Model with Discrete Occupational Choice and Redistributive Tax," Working Papers 213, Department of Economics, The University of Auckland.
    13. Hatsor, Limor, 2012. "Occupational choice: Teacher quality versus teacher quantity," Labour Economics, Elsevier, vol. 19(4), pages 608-623.
    14. Neugart, Michael & Tuinstra, Jan, 2001. "Endogenous fluctuations in the demand for education," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 01-209, WZB Berlin Social Science Center.
    15. Ben Mimoun Mohamed, 2005. "Redistribution Through Education and Other Mechanisms Under Capital‐Market Imperfections and Uncertainty: A Welfare Effect Analysis," LABOUR, CEIS, vol. 19(2), pages 191-236, June.
    16. Haris Munandar, 2008. "Heterogeneous Agents, Human Capital Formation and International Income Inequality," Tinbergen Institute Discussion Papers 08-015/2, Tinbergen Institute.
    17. Viaene, Jean-Marie & Zilcha, Itzhak, 2002. "Public education under capital mobility," Journal of Economic Dynamics and Control, Elsevier, vol. 26(12), pages 2005-2036, October.
    18. Bala, Venkatesh & Sorger, Gerhard, 2001. "A Spatial-Temporal Model of Human Capital Accumulation," Journal of Economic Theory, Elsevier, vol. 96(1-2), pages 153-179, January.
    19. Efraín Rodríguez Lozano, 2011. "¿Barreras Lingüísticas en la Educación?: La Influencia de la Lengua Materna en la Deserción Escolar," Documentos de Trabajo / Working Papers 2011-324, Departamento de Economía - Pontificia Universidad Católica del Perú.
    20. Nicolas Bauduin & Joël Hellier, 2006. "Skill Dynamics, Inequality and Social Policies," Working Papers 34, ECINEQ, Society for the Study of Economic Inequality.
    21. Azarnert, L.V.Leonid V., 2004. "Redistribution, fertility, and growth: The effect of the opportunities abroad," European Economic Review, Elsevier, vol. 48(4), pages 785-795, August.
    22. Leonid Azarnert, 2006. "Free Education: For Whom, Where and When?," DEGIT Conference Papers c011_024, DEGIT, Dynamics, Economic Growth, and International Trade.
    23. Limor Hatsor, 2014. "Allocation of Resources in Educational Production: The Budget Puzzle," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 16(6), pages 854-883, December.
    24. Kim, Jae Kyeong, 1997. "Social security trust fund (SSTF), the government fiscal use of the SSTF, and intergenerational equity," ISU General Staff Papers 1997010108000012996, Iowa State University, Department of Economics.

  70. McFadzean, David & Tesfatsion, Leigh, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Reports 18192, Iowa State University, Department of Economics.

    Cited by:

    1. Neugart, Michael, 2006. "Labor market policy evaluation with an agent-based model," MPRA Paper 4726, University Library of Munich, Germany.
    2. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    3. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    4. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    5. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    6. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    7. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game with Preferential Partner Selection," Staff General Research Papers Archive 2047, Iowa State University, Department of Economics.
    8. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    9. Leigh Tesfatsion, 2000. "Agent-Based Computational Economics: A Brief Guide to the Literature," Computational Economics 0004001, University Library of Munich, Germany.
    10. Tesfatsion, Leigh, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Reports 18191, Iowa State University, Department of Economics.
    11. Tomas Klos, "undated". "Decentralized Interaction and Co-adaptation in the Repeated Prisoner's Dilemma," Computing in Economics and Finance 1997 88, Society for Computational Economics.
    12. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    13. McFadzean, David & Stewart, Deron & Tesfatsion, Leigh S., 2001. "A Computational Laboratory for Evolutionary Trade Networks," Staff General Research Papers Archive 2049, Iowa State University, Department of Economics.
    14. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.
    15. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits And The Evolution Of Worker-Employer Cooperation: Experiments With Real And Computational Agents," Economic Reports 18190, Iowa State University, Department of Economics.
    16. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    17. Tomas B. Klos, 1999. "Decentralized Interaction and Co-Adaptation in the Repeated Prisoner&2018;s Dilemma," Computational and Mathematical Organization Theory, Springer, vol. 5(2), pages 147-165, July.
    18. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    19. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    20. Christos Alexakis & Michael Dowling & Konstantinos Eleftheriou & Michael Polemis, 2021. "Textual Machine Learning: An Application to Computational Economics Research," Post-Print hal-03182910, HAL.
    21. Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
    22. Halkos, George & Tsilika, Kyriaki, 2016. "Assessing classical input output structures with trade networks: A graph theory approach," MPRA Paper 72511, University Library of Munich, Germany.
    23. George E. Halkos & Kyriaki D. Tsilika, 2016. "Trading Structures for Regional Economies in CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 48(3), pages 523-533, October.
    24. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.

  71. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game With Preferential Partner Selection," Economic Reports 18188, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game with Preferential Partner Selection," Staff General Research Papers Archive 2047, Iowa State University, Department of Economics.

  72. Ashlock, Daniel & Smucker, Mark D. & Stanley, E. Ann & Tesfatsion, Leigh S., 1996. "Preferential Partner Selection in an Evolutionary Study of Prisoner's Dilemma," Staff General Research Papers Archive 1687, Iowa State University, Department of Economics.

    Cited by:

    1. Spiekermann, Kai, 2009. "Sort out your neighbourhood: public good games on dynamic networks," LSE Research Online Documents on Economics 26739, London School of Economics and Political Science, LSE Library.
    2. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    3. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    4. David Hagmann & Troy Tassier, 2014. "Endogenous Movement and Equilibrium Selection in Spatial Coordination Games," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 379-395, October.
    5. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    6. Rudolf Vetschera, 2003. "Experimentation and Learning in Repeated Cooperation," Computational and Mathematical Organization Theory, Springer, vol. 9(1), pages 37-60, May.
    7. Jack Robles, 2008. "Evolution, bargaining, and time preferences," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 35(1), pages 19-36, April.
    8. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    9. Hauk, Esther, 1997. "Discriminating to learn to discriminate," UC3M Working papers. Economics 6058, Universidad Carlos III de Madrid. Departamento de Economía.
    10. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game with Preferential Partner Selection," Staff General Research Papers Archive 2047, Iowa State University, Department of Economics.
    11. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    12. Pfeuffer, Wolfgang, 2006. "Religion as a Seed Crystal for Altruistic Cooperation," Munich Dissertations in Economics 5788, University of Munich, Department of Economics.
    13. Esther Hauk, 2003. "Multiple Prisoner's Dilemma Games with(out) an Outside Option: an Experimental Study," Theory and Decision, Springer, vol. 54(3), pages 207-229, May.
    14. Tesfatsion, Leigh, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Reports 18191, Iowa State University, Department of Economics.
    15. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    16. Sonia Moulet & Juliette Rouchier, 2009. "The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market," Working Papers halshs-00353505, HAL.
    17. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.
    18. Hauk, Esther, 1997. "Leaving the prison: A discussion of the Iterated prisoner`s dilemma under preferential partner selection," UC3M Working papers. Economics 6056, Universidad Carlos III de Madrid. Departamento de Economía.
    19. María Pereda & Daniele Vilone, 2017. "Social Pressure and Environmental Effects on Networks: A Path to Cooperation," Games, MDPI, vol. 8(1), pages 1-13, January.
    20. Christian Hilbe & Maria Kleshnina & Kateřina Staňková, 2023. "Evolutionary Games and Applications: Fifty Years of ‘The Logic of Animal Conflict’," Dynamic Games and Applications, Springer, vol. 13(4), pages 1035-1048, December.
    21. M.G. Zimmermann, V. M. Eguiluz, 2001. "Evolution of Cooperative Networks and the Emergence of Leadership," Computing in Economics and Finance 2001 171, Society for Computational Economics.
    22. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    23. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    24. Miriam Al Lily, 2023. "Establishing human connections: experimental evidence from the helping game," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(3), pages 805-832, September.
    25. Ladley, Daniel & Wilkinson, Ian & Young, Louise, 2015. "The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach," Journal of Business Research, Elsevier, vol. 68(11), pages 2412-2425.
    26. Seale, Darryl A. & Arend, Richard J. & Phelan, Steven, 2006. "Modeling alliance activity: Opportunity cost effects and manipulations in an iterated prisoner's dilemma with exit option," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(1), pages 60-75, May.
    27. Esther Hauk & Rosemarie Nagel, 2001. "Choice of Partners in Multiple Two-Person Prisoner's Dilemma Games," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(6), pages 770-793, December.
    28. Nicolaas J. Vriend, 2005. "ACE Models of Endogenous Interactions," Working Papers 542, Queen Mary University of London, School of Economics and Finance.
    29. Janssen, Marco A., 2008. "Evolution of cooperation in a one-shot Prisoner's Dilemma based on recognition of trustworthy and untrustworthy agents," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 458-471, March.

  73. Kalaba, Robert E. & Tesfatsion, Leigh S., 1996. "A Multicriteria Approach to Model Specification and Estimation," Staff General Research Papers Archive 1684, Iowa State University, Department of Economics.

    Cited by:

    1. Berzins, Janis & Liu, Crocker H. & Trzcinka, Charles, 2013. "Asset management and investment banking," Journal of Financial Economics, Elsevier, vol. 110(1), pages 215-231.
    2. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An objective function for simulation based inference on exchange rate data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 125-145, December.
    3. Vêlayoudom Marimoutou & Denis Peguin & Anne Peguin-Feissolle, 2009. "The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?," Post-Print hal-00389570, HAL.
    4. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    5. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.

  74. Tesfatsion, Leigh, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Reports 18191, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers Archive 2048, Iowa State University, Department of Economics.
    2. Rodrigo J. Harrison & Roberto Munoz, 2003. "Stability and Equilibrium Selection in a Link Formation Game," Game Theory and Information 0306004, University Library of Munich, Germany.
    3. Spiekermann, Kai, 2009. "Sort out your neighbourhood: public good games on dynamic networks," LSE Research Online Documents on Economics 26739, London School of Economics and Political Science, LSE Library.
    4. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    5. Murat Yildizoglu & Nicolas Carayol & Pascale Roux, 2008. "Inefficiencies in a model of spatial networks formation with positive externalities," Post-Print hal-00401137, HAL.
    6. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    7. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    8. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    9. Arifovic, Jasmina & Eaton, B. Curtis, 1998. "The evolution of type communication in a sender/receiver game of common interest with cheap talk," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1187-1207, August.
    10. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    11. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    12. Gorobets, A. & Nooteboom, B., 2005. "Adaptive build-up and breakdown of trust : An agent based computational approach," Discussion Paper 2005-39, Tilburg University, Center for Economic Research.
    13. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    14. Francis Bloch (GREQAM and Universite de la Mediterranee), Garance Genicot (Georgetown University, and Debraj Ray (New York University and Instituto de Analisis Economico (CSIC)), 2004. "Informal Insurance in Social Networks," Working Papers gueconwpa~04-04-16, Georgetown University, Department of Economics.
    15. Mark Pingle & Leigh Tesfatsion, 2004. "Evolution Of Worker-Employer Networks And Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Study," World Scientific Book Chapters, in: Roberto Leombruni & Matteo Richiardi (ed.), Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 8, pages 129-163, World Scientific Publishing Co. Pte. Ltd..
    16. Matthew O. Jackson, 2003. "A Survey of Models of Network Formation: Stability and Efficiency," Game Theory and Information 0303011, University Library of Munich, Germany.
    17. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
    18. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game with Preferential Partner Selection," Staff General Research Papers Archive 2047, Iowa State University, Department of Economics.
    19. Jasmina Arifovic & James B. Bullard & John Duffy, 1995. "Learning in a model of economic growth and development," Working Papers 1995-017, Federal Reserve Bank of St. Louis.
    20. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    21. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    22. Esther Hauk, 2003. "Multiple Prisoner's Dilemma Games with(out) an Outside Option: an Experimental Study," Theory and Decision, Springer, vol. 54(3), pages 207-229, May.
    23. James Fain, 2017. "Can Minorities Escape Wage Discrimination by Forming Firms?," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 425-445, October.
    24. Kimbrough, Erik O., 2011. "Heuristic learning and the discovery of specialization and exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 491-511, April.
    25. Tesfatsion, Leigh, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Reports 18191, Iowa State University, Department of Economics.
    26. Yang, J.-H. Steffi, 2009. "Social network influence and market instability," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 257-276, March.
    27. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    28. Susan Lee, 1999. "Assortative Interactions and Endogenous Stratification," Working Papers 99-08-056, Santa Fe Institute.
    29. McFadzean, David & Stewart, Deron & Tesfatsion, Leigh S., 2001. "A Computational Laboratory for Evolutionary Trade Networks," Staff General Research Papers Archive 2049, Iowa State University, Department of Economics.
    30. Paul Muller, 2006. "Reputation, trust and the dynamics of leadership in communities of practice," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(4), pages 381-400, November.
    31. Faggini, Marisa & Bruno, Bruna & Parziale, Anna, 2019. "Crises in economic complex networks: Black Swans or Dragon Kings?," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 105-115.
    32. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.
    33. Dutta, Bhaskar & Ghosal, Sayantan & Ray, Debraj, 2005. "Farsighted network formation," Journal of Economic Theory, Elsevier, vol. 122(2), pages 143-164, June.
    34. Firmin Doko Tchatoka & Robert Garrard & Virginie Masson, 2017. "Testing for Stochastic Dominance in Social Networks," School of Economics and Public Policy Working Papers 2017-02, University of Adelaide, School of Economics and Public Policy.
    35. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits And The Evolution Of Worker-Employer Cooperation: Experiments With Real And Computational Agents," Economic Reports 18190, Iowa State University, Department of Economics.
    36. Peyton Young, H., 1998. "Individual learning and social rationality1," European Economic Review, Elsevier, vol. 42(3-5), pages 651-663, May.
    37. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    38. Antoni Calvo-Armengol & Matthew O. Jackson, 2002. "Social Networks in Determining Employment and Wages: Patterns, Dynamics, and Inequality," Microeconomics 0211007, University Library of Munich, Germany.
    39. Rodrigo Harrison, 2003. "Global Games with Strategic Substitutes," Working Papers gueconwpa~03-03-06, Georgetown University, Department of Economics.
    40. Tomas B. Klos, 1999. "Decentralized Interaction and Co-Adaptation in the Repeated Prisoner&2018;s Dilemma," Computational and Mathematical Organization Theory, Springer, vol. 5(2), pages 147-165, July.
    41. Pingle, Mark & Tesfatsion, Leigh, 2003. "Evolution of Worker-Employer Networks and Behaviors Under Alternative Non-Employment Benefits: An Agent-Based Computational Approach," Staff General Research Papers Archive 10376, Iowa State University, Department of Economics.
    42. Barsha Saha & Miguel Martínez-García & Sharad Nath Bhattacharya & Rohit Joshi, 2022. "Overcoming Choice Inertia through Social Interaction—An Agent-Based Study of Mobile Subscription Decision," Games, MDPI, vol. 13(3), pages 1-16, June.
    43. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    44. Gorobets, A. & Nooteboom, B., 2004. "Agent based computational model of trust," ERIM Report Series Research in Management ERS-2004-108-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    45. Corbae, Dean & Duffy, John, 2008. "Experiments with network formation," Games and Economic Behavior, Elsevier, vol. 64(1), pages 81-120, September.
    46. Matthew O. Jackson, 2002. "The Stability and Efficiency of Economic and Social Networks," Microeconomics 0211011, University Library of Munich, Germany.
    47. John Duffy & Dean Corbae, 2006. "Experiments with Network Formation," Working Paper 292, Department of Economics, University of Pittsburgh, revised Aug 2007.
    48. Mark Pingle and Leigh Tesfatsion, 2001. "Unemployment Insurance and the Evolution of Worker-Employer\n Cooperation: Experiments with Real and Artificial Agents," Computing in Economics and Finance 2001 279, Society for Computational Economics.
    49. Arifovic, Jasmina & Bullard, James & Duffy, John, 1997. "The Transition from Stagnation to Growth: An Adaptive Learning Approach," Journal of Economic Growth, Springer, vol. 2(2), pages 185-209, July.

  75. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," Economic Reports 18196, Iowa State University, Department of Economics.

    Cited by:

    1. Orazem, Peter & Tesfatsion, Leigh S., 1997. "Macrodynamic Implications of Income Transfer Policies for Human Capital Investment and School Effort," Staff General Research Papers Archive 1683, Iowa State University, Department of Economics.
    2. Tesfatsion, Leigh, 1998. "Preferential Partner Selection in Evolutionary Labor Markets: A Study in Agent-Based Computational Economics," Staff General Research Papers Archive 2048, Iowa State University, Department of Economics.
    3. Pingle, Mark & Tesfatsion, Leigh, 1998. "Active intermediation in a monetary overlapping generations economy1," Journal of Economic Dynamics and Control, Elsevier, vol. 22(10), pages 1543-1574, August.
    4. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    6. Giovanni Dosi & Giorgio Fagiolo & Roberto Gabriele, 2004. "Towards an Evolutionary Interpretation of Aggregate Labor Market Regularities," LEM Papers Series 2004/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    8. J. Barkley Rosser, 1999. "On the Complexities of Complex Economic Dynamics," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 169-192, Fall.
    9. Tesfatsion, Leigh, 1999. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," ISU General Staff Papers 199910010700001049, Iowa State University, Department of Economics.
    10. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    11. Fiore, Annamaria, 2009. "Experimental Economics: Some Methodological Notes," MPRA Paper 12498, University Library of Munich, Germany.
    12. Buss, Georg & Parasie, Nils & Veit, Daniel & Catalano, Michele & Chacin, Pablo & Chao, Isaac & Freitag, Felix & Navarro, Leandro & Rana, Omer F. & Joita, Liviu & Schnizler, Björn & Streitberger, Werne, 2007. "Performance Evaluation - Annual Report Year 3," Bayreuth Reports on Information Systems Management 28, University of Bayreuth, Chair of Information Systems Management.
    13. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    14. Tesfatsion, Leigh S., 1998. "Ex Ante Capacity Effects in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers Archive 1379, Iowa State University, Department of Economics.
    15. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    16. Pingle, M. & Tesfatsion, Leigh S., 1998. "Active Intermediation in Overlapping Generations Economies with Production and Unsecured Debt," Staff General Research Papers Archive 1228, Iowa State University, Department of Economics.
    17. Eymann, Torsten & Streitberger, Werner & Reinicke, Michael & Freitag, Felix & Chacin, Pablo & Chao, Isaac & Schnizler, Björn & Veit, Daniel, 2007. "Preliminary specification and design documentation for software components to achieve catallaxy in computational systems," Bayreuth Reports on Information Systems Management 2, University of Bayreuth, Chair of Information Systems Management.
    18. Reinicke, Michael & Streitberger, Werner & Eymann, Torsten, 2008. "A scalability analysis of grid allocation mechanisms," Bayreuth Reports on Information Systems Management 31, University of Bayreuth, Chair of Information Systems Management.
    19. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    20. Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
    21. Wilkinson, Ian & Young, Louise, 2002. "On cooperating: firms, relations and networks," Journal of Business Research, Elsevier, vol. 55(2), pages 123-132, February.
    22. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    23. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    24. Scott E. Page, 2008. "Uncertainty, Difficulty, and Complexity," Journal of Theoretical Politics, , vol. 20(2), pages 115-149, April.
    25. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    26. Martin Natter & Andreas Mild & Markus Feurstein & Georg Dorffner & Alfred Taudes, 2001. "The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process," Management Science, INFORMS, vol. 47(8), pages 1029-1045, August.
    27. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    28. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.
    29. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    30. Fontana Magda, 2009. "The Santa Fe Perspective on Economics: emerging patterns in the science of complexity," CESMEP Working Papers 200908, University of Turin.
    31. Scott E. Page, 1998. "Uncertainty, Difficulty, and Complexity," Research in Economics 98-08-076e, Santa Fe Institute.
    32. Leigh Tesfatsion, 1999. "Market Power Effects on Worker-Employer Network Formation in Evolutionary Labor Markets with Adaptive Search," Computing in Economics and Finance 1999 543, Society for Computational Economics.
    33. Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk & Streitberger, Werner & Eymann, Torsten, 2007. "Theoretical and Computational Basis for CATNETS - Annual Report Year 3," Bayreuth Reports on Information Systems Management 23, University of Bayreuth, Chair of Information Systems Management.
    34. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
    35. Torsten Heinrich & Henning Schwardt, 2013. "Institutional Inertia and Institutional Change in an Expanding Normal-Form Game," Games, MDPI, vol. 4(3), pages 1-28, August.
    36. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2005. "Animal Spirits, Lumpy Investment, and Endogenous Business Cycles," LEM Papers Series 2005/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Mouck, Tom, 2000. "Beyond Panglossian theory: strategic capital investing in a complex adaptive world," Accounting, Organizations and Society, Elsevier, vol. 25(3), pages 261-283, April.
    38. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    39. Eymann, Torsten & Streitberger, Werner & Veit, Daniel & Buss, Georg & Schnizler, Björn & Neumann, Dirk, 2006. "Theoretical and Computational Basis for CATNETS - Annual Report Year 2," Bayreuth Reports on Information Systems Management 9, University of Bayreuth, Chair of Information Systems Management.
    40. Russell Golman & Scott Page, 2009. "General Blotto: games of allocative strategic mismatch," Public Choice, Springer, vol. 138(3), pages 279-299, March.
    41. Fagiolo G. & Roventini A., 2004. "Animal Spirits, Lumpy Investment, and the Business Cycle," Computing in Economics and Finance 2004 109, Society for Computational Economics.
    42. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2006. "An Evolutionary Model of Endogenous Business Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 3-34, February.

  76. Tesfatsion, Leigh, 1995. "How to Get Alife," Staff General Research Papers Archive 10546, Iowa State University, Department of Economics.

    Cited by:

    1. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    2. Martin Natter & Andreas Mild & Markus Feurstein & Georg Dorffner & Alfred Taudes, 2001. "The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process," Management Science, INFORMS, vol. 47(8), pages 1029-1045, August.
    3. Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  77. Stanley, E.A. & Ashlock, Daniel & Tesfatsion, Leigh, 1994. "Iterated Prisoner's Dilemma with Choice and Refusal of Partners," Staff General Research Papers Archive 11180, Iowa State University, Department of Economics.

    Cited by:

    1. Miller, John H. & Butts, Carter T. & Rode, David, 2002. "Communication and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 47(2), pages 179-195, February.
    2. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    3. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    4. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
    5. Kirchkamp, Oliver, 2000. "Spatial evolution of automata in the prisoners' dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 43(2), pages 239-262, October.
    6. Kristian Lindgren, 1996. "Evolutionary Dynamics in Game-Theoretic Models," Working Papers 96-06-043, Santa Fe Institute.
    7. Alan Kirman, 2002. "Reflections on interaction and markets," Quantitative Finance, Taylor & Francis Journals, vol. 2(5), pages 322-326.
    8. Nicolaas J. Vriend, 1998. "An Illustration of the Essential Difference between Individual and Social Learning, and its Consequences for Computational Analyses," Working Papers 387, Queen Mary University of London, School of Economics and Finance.
    9. Ashlock, Dan & Smucker, Mark & Stanley, E. Ann & Tesfatsion, Leigh, 1996. "Preferential partner selection in an evolutionary study of Prisoner's Dilemma," ISU General Staff Papers 199601010800001033, Iowa State University, Department of Economics.
    10. Rouchier, Juliette & Bousquet, Francois & Requier-Desjardins, Melanie & Antona, Martine, 2001. "A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 527-559, March.
    11. Tesfatsion, Leigh, 1996. "An Evolutionary Trade Network Game with Preferential Partner Selection," Staff General Research Papers Archive 2047, Iowa State University, Department of Economics.
    12. Claudius Gräbner & Wolfram Elsner & Alex Lascaux, 2021. "Trust and Social Control: Sources of Cooperation, Performance, and Stability in Informal Value Transfer Systems," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1077-1102, December.
    13. Juliette Rouchier, 2013. "The Interest of Having Loyal Buyers in a Perishable Market," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 151-170, February.
    14. Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    15. Esther Hauk, 2003. "Multiple Prisoner's Dilemma Games with(out) an Outside Option: an Experimental Study," Theory and Decision, Springer, vol. 54(3), pages 207-229, May.
    16. Tesfatsion, Leigh, 1995. "A Trade Network Game With Endogenous Partner Selection," Economic Reports 18191, Iowa State University, Department of Economics.
    17. Tomas Klos, "undated". "Decentralized Interaction and Co-adaptation in the Repeated Prisoner's Dilemma," Computing in Economics and Finance 1997 88, Society for Computational Economics.
    18. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
    19. Tesfatsion, Leigh, 1998. "Gale-Shapley Matching In An Evolutionary Trade Network Game," Economic Reports 18200, Iowa State University, Department of Economics.
    20. Hauk, Esther, 1997. "Leaving the prison: A discussion of the Iterated prisoner`s dilemma under preferential partner selection," UC3M Working papers. Economics 6056, Universidad Carlos III de Madrid. Departamento de Economía.
    21. Rick L. Riolo, 1997. "The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated PrisonerÕs Dilemma," Working Papers 97-02-016, Santa Fe Institute.
    22. John H. Miller & Carter Butts & David Rode, 1998. "Communication and Cooperation," Working Papers 98-04-037, Santa Fe Institute.
    23. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    24. Serge Hayward, 2011. "Predicting Prices Of Financial Assets: From Classical Economics To Intelligent Finance," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 229-247.
    25. K. Sigmund, 1998. "Complex Adaptive Systems and the Evolution of Reciprocation," Working Papers ir98100, International Institute for Applied Systems Analysis.
    26. Maarten C.W. Janssen, 2000. "Imitation of Cooperation in Prisoner's Dilemma Games with Some Local Interaction," Tinbergen Institute Discussion Papers 00-019/1, Tinbergen Institute.
    27. Esther Hauk & Rosemarie Nagel, 2001. "Choice of Partners in Multiple Two-Person Prisoner's Dilemma Games," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(6), pages 770-793, December.
    28. Anders Eriksson & Kristian Lindgren, 2001. "Evolution of Strategies in Repeated Stochastic Games," Working Papers 01-04-023, Santa Fe Institute.
    29. Ronald S. Burt, 1999. "Private Games are too Dangerous," Computational and Mathematical Organization Theory, Springer, vol. 5(4), pages 311-341, December.
    30. Janssen, Marco A., 2008. "Evolution of cooperation in a one-shot Prisoner's Dilemma based on recognition of trustworthy and untrustworthy agents," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 458-471, March.

  78. Tesfatsion, Leigh S., 1992. "Nonlocal Automated Comparative Static Analysis," Staff General Research Papers Archive 11181, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  79. Tesfatsion, Leigh, 1991. "Automatic Evaluation of Higher-Order Partial Derivatives for Nonlocal Sensitivity Analysis," Staff General Research Papers Archive 11183, Iowa State University, Department of Economics.

    Cited by:

    1. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    2. Max E. Jerrell, "undated". "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computing in Economics and Finance 1996 _028, Society for Computational Economics.
    3. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  80. Kalaba, Robert E. & Tesfatsion, Leigh S., 1991. "Obtaining Initial Parameter Estimates for Nonlinear Systems Using Multicriteria Associative Memories," Staff General Research Papers Archive 11184, Iowa State University, Department of Economics.

    Cited by:

    1. Moore, II, James E. & Kim, Geunyoung & Cho, Seongdil & Hu, Hsi-hwa & Xu, Rong, 1997. "Evaluating System ATMIS Technologies Via Rapid Estimation Of Network Flows: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5c70f3d9, Institute of Transportation Studies, UC Berkeley.

  81. Pingle, M. & Tesfatsion, Leigh S., 1991. "Overlapping Generations, Intermediation, and the First Welfare Theorem," Staff General Research Papers Archive 11185, Iowa State University, Department of Economics.

    Cited by:

    1. Pingle, Mark & Tesfatsion, Leigh, 1998. "Active intermediation in a monetary overlapping generations economy1," Journal of Economic Dynamics and Control, Elsevier, vol. 22(10), pages 1543-1574, August.
    2. Pingle, M. & Tesfatsion, Leigh S., 1998. "Active Intermediation in Overlapping Generations Economies with Production and Unsecured Debt," Staff General Research Papers Archive 1228, Iowa State University, Department of Economics.
    3. Pingle, Mark & Tesfatsion, Leigh, 1998. "Active intermediation in a monetary overlapping generations economy," ISU General Staff Papers 199801010800001027, Iowa State University, Department of Economics.

  82. Kalaba, Robert E. & Tesfatsion, Leigh S., 1991. "Solving Nonlinear Equations By Adaptive Homotopy Continuation," Staff General Research Papers Archive 11186, Iowa State University, Department of Economics.

    Cited by:

    1. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    2. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  83. Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "A Further Note on Flexible Least Squares and Kalman Filtering," Staff General Research Papers Archive 11192, Iowa State University, Department of Economics.

    Cited by:

    1. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  84. Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "Flexible Least Squares for Approximately Linear Systems," Staff General Research Papers Archive 11190, Iowa State University, Department of Economics.

    Cited by:

    1. Claudio Morana, 2004. "The Japanese Deflation: Has It Had Real Effects? Could It Have Been Avoided?," ICER Working Papers 29-2004, ICER - International Centre for Economic Research.
    2. Zsuzsanna Zsibók & Balázs Varga, 2012. "Inflation Persistence in Hungary: a Spatial Analysis," Working Papers 1203, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    3. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    4. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
    5. Evžen Kocenda & Balázs Varga, 2017. "The Impact of Monetary Strategies on Inflation Persistence," CESifo Working Paper Series 6306, CESifo.
    6. Vêlayoudom Marimoutou & Denis Peguin & Anne Peguin-Feissolle, 2009. "The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?," Post-Print hal-00389570, HAL.
    7. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    8. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
    9. Zsolt Darvas & Balẳ Varga, 2014. "Inflation persistence in central and eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1437-1448, May.
    10. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    11. Lutkepohl, Helmut & Herwartz, Helmut, 1996. "Specification of varying coefficient time series models via generalized flexible least squares," Journal of Econometrics, Elsevier, vol. 70(1), pages 261-290, January.
    12. Dufour, Jean-Marie & Ghysels, Eric, 1996. "Editors' introduction recent developments in the econometrics of structural change," Journal of Econometrics, Elsevier, vol. 70(1), pages 1-8, January.
    13. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    14. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Luis Fernando Melo & Héctor Núñez, 2004. "Combinación de Pronósticos de la Inflación en Presencia de cambios Estructurales," Borradores de Economia 286, Banco de la Republica de Colombia.
    16. Luis Fernando Melo Velandia & Héctor M. Núñez Amortegui, 2004. "Combinación de pronósticos de la inflación en presencia de cambios estructurales," Borradores de Economia 2153, Banco de la Republica.
    17. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
    18. Claudio Morana, 2009. "An omnibus noise filter," Computational Statistics, Springer, vol. 24(3), pages 459-479, August.

  85. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Time-Varying Linear Regression Via Flexible Least Squares," Staff General Research Papers Archive 11196, Iowa State University, Department of Economics.

    Cited by:

    1. Berzins, Janis & Liu, Crocker H. & Trzcinka, Charles, 2013. "Asset management and investment banking," Journal of Financial Economics, Elsevier, vol. 110(1), pages 215-231.
    2. Stokes, Houston H., 2013. "Money balances in the production function: Nonlinear tests of model stability and measurement issues – two sides of the same coin?," The Journal of Economic Asymmetries, Elsevier, vol. 10(2), pages 101-114.
    3. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. José Luis Torres, 2006. "Modelos Para La Inflación Básica de Bienes Transables y No Transables en Colombia," Borradores de Economia 365, Banco de la Republica de Colombia.
    5. Eliana González Molano & Luis Fernando Melo Velandia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 458, Banco de la Republica de Colombia.
    6. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    7. Naveen Srinivasan & M. Ramachandran & Sudhanshu Kumar, 2010. "Monetary Policy in a Low Inflation Environment: Is There Evidence for Opportunistic Behaviour?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 4-19.
    8. Zsuzsanna Zsibók & Balázs Varga, 2012. "Inflation Persistence in Hungary: a Spatial Analysis," Working Papers 1203, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    9. Desiree M. Kunene & Renee van Eyden & Petre Caraiani & Rangan Gupta, 2023. "The Predictive Impact of Climate Risk on Total Factor Productivity Growth: 1880-2020," Working Papers 202321, University of Pretoria, Department of Economics.
    10. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    11. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    12. Luis Fernando Melo & Martha Misas A., 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a Través de Mínimos Cuadrados Flexibles," Borradores de Economia 283, Banco de la Republica de Colombia.
    13. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    14. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
    15. Thanasis Stengos & Theodore Panagiotidis & Orestis Vravosinos, 2020. "A principal component-guided sparse regression approach for the determination of bitcoin returns," Working Papers 2001, University of Guelph, Department of Economics and Finance.
    16. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
    17. Nikolaos A. Kyriazis, 2020. "Is Bitcoin Similar to Gold? An Integrated Overview of Empirical Findings," JRFM, MDPI, vol. 13(5), pages 1-19, May.
    18. Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2001. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," Staff Papers 28672, Purdue University, Department of Agricultural Economics.
    19. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    20. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
    21. Zhou, Jian, 2013. "Conditional market beta for REITs: A comparison of modeling techniques," Economic Modelling, Elsevier, vol. 30(C), pages 196-204.
    22. Lars-Erik Cederman & Mohan Penubarti Rao, 2001. "Exploring the Dynamics of the Democratic Peace," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(6), pages 818-833, December.
    23. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
    24. Tung-Lam Dao, 2014. "Momentum Strategies with L1 Filter," Papers 1403.4069, arXiv.org.
    25. Claudio Morana, 2007. "On the macroeconomic causes of exchange rates volatility," ICER Working Papers 8-2007, ICER - International Centre for Economic Research.
    26. Sheunesu Zhou, 2021. "Examining the Sources of Sovereign Risk for South Africa: A Time Varying Flexible Least Squares Approach," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 9(1), pages 29-45.
    27. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    28. Lutkepohl, Helmut & Herwartz, Helmut, 1996. "Specification of varying coefficient time series models via generalized flexible least squares," Journal of Econometrics, Elsevier, vol. 70(1), pages 261-290, January.
    29. Dorfman, Jeffrey H. & Foster, Kenneth A., 1991. "Estimating Productivity Changes With Flexible Coeficients," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-11, December.
    30. Gomez, Miguel I. & Gonzalez, Eliana & Melo, Luis F. & Torres, Jose L., 2006. "Forecasting Food Price Inflation, Challenges for Central Banks in Developing Countries using an Inflation Targeting Framework: the Case of Colombia," 2006 Annual meeting, July 23-26, Long Beach, CA 21181, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. Naveen Srinivasan, 2014. "Testing the Expectations Trap Hypothesis: A Time-Varying Parameter Approach," Working Papers 2014-089, Madras School of Economics,Chennai,India.
    32. Luis Fernando Melo Velandia & Martha Alicia Misas Arango, 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a través de Mínimos Cuadrados Flexibles," Borradores de Economia 3244, Banco de la Republica.
    33. Markus Ebner & Thorsten Neumann, 2008. "Time-varying factor models for equity portfolio construction," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 381-395.
    34. Markus Ebner & Thorsten Neumann, 2005. "Time-Varying Betas of German Stock Returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(1), pages 29-46, June.
    35. Carlos A. Arango A., 2004. "La Demanda De Especies Monetarias En Colombia: Estructura Y Pronóstico," Borradores de Economia 2964, Banco de la Republica.
    36. Claudio Morana, 2008. "Realized Betas and the Cross-Section of Expected Returns," ICER Working Papers - Applied Mathematics Series 15-2008, ICER - International Centre for Economic Research.
    37. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    38. Dufour, Jean-Marie & Ghysels, Eric, 1996. "Editors' introduction recent developments in the econometrics of structural change," Journal of Econometrics, Elsevier, vol. 70(1), pages 1-8, January.
    39. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    40. Ling He & Alan Reichert, 2003. "Time variation paths of factors affecting financial institutions and stock returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(1), pages 71-86, March.
    41. Eliana González Molano & Luis Fernando Melo Velnadia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 4247, Banco de la Republica.
    42. Luis Fernando Melo & Héctor Núñez, 2004. "Combinación de Pronósticos de la Inflación en Presencia de cambios Estructurales," Borradores de Economia 286, Banco de la Republica de Colombia.
    43. Luis Fernando Melo Velandia & Héctor M. Núñez Amortegui, 2004. "Combinación de pronósticos de la inflación en presencia de cambios estructurales," Borradores de Economia 2153, Banco de la Republica.
    44. Ibrahim A. Onour, 2016. "Can OPEC Cartel Reverse Crude Oil Price Downfall?," International Journal of World Policy and Development Studies, Academic Research Publishing Group, vol. 2(12), pages 90-93, 12-2016.
    45. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
    46. Claudio Morana, 2009. "An omnibus noise filter," Computational Statistics, Springer, vol. 24(3), pages 459-479, August.
    47. Claudio Morana, 2007. "Estimating, Filtering and Forecasting Realized Betas," ICER Working Papers - Applied Mathematics Series 6-2007, ICER - International Centre for Economic Research.

  86. Kalaba, R. & Tesfatsion, L., 1989. "Nonlocal Automated Sensitivity Analysis," Papers m8911, Southern California - Department of Economics.

    Cited by:

    1. Koesrindartoto, Deddy P. & Sun, Junjie & Tesfatsion, Leigh, 2005. "An Agent-Based Computational Laboratory for Testing the Economic Reliability of Wholesale Power Market Designs," Staff General Research Papers Archive 12388, Iowa State University, Department of Economics.
    2. Dakhlia, Sami, 1999. "Testing for a unique equilibrium in applied general equilibrium models," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1281-1297, September.

  87. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Sequential Nonlinear Estimation With Nonaugmented Priors," Staff General Research Papers Archive 11197, Iowa State University, Department of Economics.

    Cited by:

    1. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  88. Kalaba, R. & Lichtenstein, Z. & Tesfatsion, L., 1989. "Linear And Nonlinear Associative Memories For Parameter Estimation," Papers m8913, Southern California - Department of Economics.

    Cited by:

    1. Naga, Palavadi & Fan, Yueyue, 2008. "Quick Estimation of Network Performance Measures Using Associative Memory Techniques," Institute of Transportation Studies, Working Paper Series qt8hd526wh, Institute of Transportation Studies, UC Davis.
    2. R E Kalaba & J E Moore II & R Xu & G J Chen, 1999. "Nonlinear Estimation with Associative Memories and Machine Evaluation of Derivatives: An Application to Calibrating Spatial Interaction Models," Environment and Planning A, , vol. 31(3), pages 441-457, March.

  89. Kalaba, R. & Tesfatsion, L., 1989. "A Multicriteria Approach To Dynamic Estimation," Papers 8904, Southern California - Department of Economics.

    Cited by:

    1. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.

  90. Tesfatsion, L. & Veitch, J., 1988. "U.S. Money Demand Instability: A Flexible Least Squares Approach," Papers m8809, Southern California - Department of Economics.

    Cited by:

    1. Stephen M. Miller & Luis F. Martins & Rangan Gupta, 2014. "A Time-Varying Approach of the US Welfare Cost of Inflation," Working papers 2014-11, University of Connecticut, Department of Economics.
    2. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    4. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
    5. Vêlayoudom Marimoutou & Denis Peguin & Anne Peguin-Feissolle, 2009. "The "distance-varying" gravity model in international economics: is the distance an obstacle to trade?," Post-Print hal-00389570, HAL.
    6. Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2001. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," Staff Papers 28672, Purdue University, Department of Agricultural Economics.
    7. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
    8. Jonathan Benchimol & Irfan Qureshi, 2019. "Time-Varying Money Demand and Real Balance Effects," CFDS Discussion Paper Series 2019/7, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    9. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    10. Dorfman, Jeffrey H. & Foster, Kenneth A., 1991. "Estimating Productivity Changes With Flexible Coeficients," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-11, December.
    11. Markus Ebner & Thorsten Neumann, 2008. "Time-varying factor models for equity portfolio construction," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 381-395.
    12. Markus Ebner & Thorsten Neumann, 2005. "Time-Varying Betas of German Stock Returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(1), pages 29-46, June.
    13. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    14. Ling He & Alan Reichert, 2003. "Time variation paths of factors affecting financial institutions and stock returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(1), pages 71-86, March.
    15. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Akhter Faroque, 2020. "Time-Varying Parameter Population Health Models and the Health Effects of Social Services vs. Health Care Spending: An Application to Canada," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(9), pages 1-23, September.
    17. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.

  91. Kalaba, R. & Tesfatsion, L., 1988. "An Organizing Principle For Dynamic Estimation," Papers m8818, Southern California - Department of Economics.

    Cited by:

    1. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    2. Claudio Morana, 2008. "Realized Betas and the Cross-Section of Expected Returns," ICER Working Papers - Applied Mathematics Series 15-2008, ICER - International Centre for Economic Research.
    3. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Hai T Nguyen & Nikolay G Topolsky & Denis V Tarakanov & Alexander V Mokshantsev, 2022. "RETRACTED: Multicriteria analysis of firefighter routes in buildings in the case of a fire," The Journal of Defense Modeling and Simulation, , vol. 19(3), pages 423-432, July.
    5. Claudio Morana, 2009. "An omnibus noise filter," Computational Statistics, Springer, vol. 24(3), pages 459-479, August.

  92. Kalaba, Robert E. & Tesfatsion, Leigh S., 1988. "The Flexible Least Squares Approach to Time-Varying Linear Regression," Staff General Research Papers Archive 11198, Iowa State University, Department of Economics.

    Cited by:

    1. Baris Soybilen & Burak Alparslan Eroglu, 2019. "Time-Varying Taylor Rule Estimation for Turkey with Flexible Least Square Method," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 33(2), pages 1-20.
    2. David E. Runkle & Peter C. Young, 1989. "Recursive estimation and modelling of nonstationary and nonlinear time series," Discussion Paper / Institute for Empirical Macroeconomics 7, Federal Reserve Bank of Minneapolis.
    3. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 258-293, June.
    4. Naveen Srinivasan & M. Ramachandran & Sudhanshu Kumar, 2010. "Monetary Policy in a Low Inflation Environment: Is There Evidence for Opportunistic Behaviour?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 4-19.
    5. Zsuzsanna Zsibók & Balázs Varga, 2012. "Inflation Persistence in Hungary: a Spatial Analysis," Working Papers 1203, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    6. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    7. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
    8. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
    9. Evžen Kocenda & Balázs Varga, 2017. "The Impact of Monetary Strategies on Inflation Persistence," CESifo Working Paper Series 6306, CESifo.
    10. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    11. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
    12. Pusse, Leo, 1998. "Export als Bestimmungsfaktor der Beschäftigung : ökonomische Analysen auf makroökonomischer Ebene (Export as a determinant of employment : econometric analyses at macroeconomic level)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 31(1), pages 108-122.
    13. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
    14. K. Triantafyllopoulos & G. Montana, 2011. "Dynamic modeling of mean-reverting spreads for statistical arbitrage," Computational Management Science, Springer, vol. 8(1), pages 23-49, April.
    15. Zsolt Darvas & Balẳ Varga, 2014. "Inflation persistence in central and eastern European countries," Applied Economics, Taylor & Francis Journals, vol. 46(13), pages 1437-1448, May.
    16. A Vadivel & M Ramachandran, 2014. "The Reserve Bank of India's Reaction to Exchange Rate Variation: A timevarying parametric approach," IEG Working Papers 339, Institute of Economic Growth.
    17. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    18. Naveen Srinivasan, 2014. "Testing the Expectations Trap Hypothesis: A Time-Varying Parameter Approach," Working Papers 2014-089, Madras School of Economics,Chennai,India.
    19. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    20. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    21. Ling He & Alan Reichert, 2003. "Time variation paths of factors affecting financial institutions and stock returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(1), pages 71-86, March.
    22. Kuethe, Todd H. & Foster, Kenneth A. & Florax, Raymond J.G.M., 2008. "A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    23. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
    24. Tucci, Marco P., 1995. "Time-varying parameters: a critical introduction," Structural Change and Economic Dynamics, Elsevier, vol. 6(2), pages 237-260, June.

  93. Kalaba, R. & Rasakhoo, N. & Tesfatsion, L., 1988. "A Fortran Program For Time-Varying Linear Regression Via Flexible Least Squares," Papers m8730, Southern California - Department of Economics.

    Cited by:

    1. Berzins, Janis & Liu, Crocker H. & Trzcinka, Charles, 2013. "Asset management and investment banking," Journal of Financial Economics, Elsevier, vol. 110(1), pages 215-231.
    2. Stokes, Houston H., 2013. "Money balances in the production function: Nonlinear tests of model stability and measurement issues – two sides of the same coin?," The Journal of Economic Asymmetries, Elsevier, vol. 10(2), pages 101-114.
    3. Kim, Man-Keun & Lee, Andrew C., 2005. "Time Varying Coefficient: An Application of Flexible Least Squares to Cattle Captive Supply," 2005 Annual meeting, July 24-27, Providence, RI 19124, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. José Luis Torres, 2006. "Modelos Para La Inflación Básica de Bienes Transables y No Transables en Colombia," Borradores de Economia 365, Banco de la Republica de Colombia.
    5. Eliana González Molano & Luis Fernando Melo Velandia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 458, Banco de la Republica de Colombia.
    6. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    7. Naveen Srinivasan & M. Ramachandran & Sudhanshu Kumar, 2010. "Monetary Policy in a Low Inflation Environment: Is There Evidence for Opportunistic Behaviour?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 4-19.
    8. Zsuzsanna Zsibók & Balázs Varga, 2012. "Inflation Persistence in Hungary: a Spatial Analysis," Working Papers 1203, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    9. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.
    10. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    11. Luis Fernando Melo & Martha Misas A., 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a Través de Mínimos Cuadrados Flexibles," Borradores de Economia 283, Banco de la Republica de Colombia.
    12. Morana, Claudio, 2006. "A small scale macroeconometric model for the Euro-12 area," Economic Modelling, Elsevier, vol. 23(3), pages 391-426, May.
    13. Alptekin, Aynur & Broadstock, David C. & Chen, Xiaoqi & Wang, Dong, 2019. "Time-varying parameter energy demand functions: Benchmarking state-space methods against rolling-regressions," Energy Economics, Elsevier, vol. 82(C), pages 26-41.
    14. Thanasis Stengos & Theodore Panagiotidis & Orestis Vravosinos, 2020. "A principal component-guided sparse regression approach for the determination of bitcoin returns," Working Papers 2001, University of Guelph, Department of Economics and Finance.
    15. He, Ling T., 2005. "Instability and predictability of factor betas of industrial stocks: The Flexible Least Squares solutions," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 619-640, September.
    16. Nikolaos A. Kyriazis, 2020. "Is Bitcoin Similar to Gold? An Integrated Overview of Empirical Findings," JRFM, MDPI, vol. 13(5), pages 1-19, May.
    17. Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2001. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," Staff Papers 28672, Purdue University, Department of Agricultural Economics.
    18. Zsolt Darvas & Balázs Varga, 2012. "Uncovering Time-Varying Parameters with the Kalman-Filter and the Flexible Least Squares: a Monte Carlo Study," Working Papers 1204, Department of Mathematical Economics and Economic Analysis, Corvinus University of Budapest.
    19. Ling T. He, & James. R. Webb & Neil Myer, 2003. "Interest Rate Sensitivities of REIT Returns," International Real Estate Review, Global Social Science Institute, vol. 6(1), pages 1-21.
    20. Zhou, Jian, 2013. "Conditional market beta for REITs: A comparison of modeling techniques," Economic Modelling, Elsevier, vol. 30(C), pages 196-204.
    21. Lars-Erik Cederman & Mohan Penubarti Rao, 2001. "Exploring the Dynamics of the Democratic Peace," Journal of Conflict Resolution, Peace Science Society (International), vol. 45(6), pages 818-833, December.
    22. Scharnagl, Michael & Stapf, Jelena, 2015. "Inflation, deflation, and uncertainty: What drives euro-area option-implied inflation expectations, and are they still anchored in the sovereign debt crisis?," Economic Modelling, Elsevier, vol. 48(C), pages 248-269.
    23. Tung-Lam Dao, 2014. "Momentum Strategies with L1 Filter," Papers 1403.4069, arXiv.org.
    24. Claudio Morana, 2007. "On the macroeconomic causes of exchange rates volatility," ICER Working Papers 8-2007, ICER - International Centre for Economic Research.
    25. Josipa VIŠIC & Blanka ŠKRABIC, 2010. "Determinants of Incoming Cross-Border M&A: Evidence from European Transition Economies," EcoMod2010 259600168, EcoMod.
    26. Lutkepohl, Helmut & Herwartz, Helmut, 1996. "Specification of varying coefficient time series models via generalized flexible least squares," Journal of Econometrics, Elsevier, vol. 70(1), pages 261-290, January.
    27. Dorfman, Jeffrey H. & Foster, Kenneth A., 1991. "Estimating Productivity Changes With Flexible Coeficients," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-11, December.
    28. Gomez, Miguel I. & Gonzalez, Eliana & Melo, Luis F. & Torres, Jose L., 2006. "Forecasting Food Price Inflation, Challenges for Central Banks in Developing Countries using an Inflation Targeting Framework: the Case of Colombia," 2006 Annual meeting, July 23-26, Long Beach, CA 21181, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    29. Naveen Srinivasan, 2014. "Testing the Expectations Trap Hypothesis: A Time-Varying Parameter Approach," Working Papers 2014-089, Madras School of Economics,Chennai,India.
    30. Luis Fernando Melo Velandia & Martha Alicia Misas Arango, 2004. "Modelos Estructurales de Inflación en Colombia: Estimación a través de Mínimos Cuadrados Flexibles," Borradores de Economia 3244, Banco de la Republica.
    31. Markus Ebner & Thorsten Neumann, 2008. "Time-varying factor models for equity portfolio construction," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 381-395.
    32. Claudio Morana, 2008. "Realized Betas and the Cross-Section of Expected Returns," ICER Working Papers - Applied Mathematics Series 15-2008, ICER - International Centre for Economic Research.
    33. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    34. Dufour, Jean-Marie & Ghysels, Eric, 1996. "Editors' introduction recent developments in the econometrics of structural change," Journal of Econometrics, Elsevier, vol. 70(1), pages 1-8, January.
    35. A. Talha Yalta, 2016. "Bootstrap Inference of Level Relationships in the Presence of Serially Correlated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 339-366, August.
    36. Eliana González Molano & Luis Fernando Melo Velnadia & Anderson Grajales Olarte, 2007. "Pronósticos directos de la inflación colombiana," Borradores de Economia 4247, Banco de la Republica.
    37. Luis Fernando Melo & Héctor Núñez, 2004. "Combinación de Pronósticos de la Inflación en Presencia de cambios Estructurales," Borradores de Economia 286, Banco de la Republica de Colombia.
    38. Luis Fernando Melo Velandia & Héctor M. Núñez Amortegui, 2004. "Combinación de pronósticos de la inflación en presencia de cambios estructurales," Borradores de Economia 2153, Banco de la Republica.
    39. Ibrahim A. Onour, 2016. "Can OPEC Cartel Reverse Crude Oil Price Downfall?," International Journal of World Policy and Development Studies, Academic Research Publishing Group, vol. 2(12), pages 90-93, 12-2016.
    40. He, Ling T., 2001. "Time variation paths of international transmission of stock volatility -- US vs. Hong Kong and South Korea," Global Finance Journal, Elsevier, vol. 12(1), pages 79-93.
    41. Claudio Morana, 2009. "An omnibus noise filter," Computational Statistics, Springer, vol. 24(3), pages 459-479, August.

  94. Kalaba, Robert E. & Plum, Thomas & Tesfatsion, Leigh S., 1987. "Automation of Nested Matrix and Derivative Operations," Staff General Research Papers Archive 11202, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, "undated". "Automatic Differentiation and Interval Arithmetic for Estimation of Disequilibrium Models," Computing in Economics and Finance 1996 _028, Society for Computational Economics.
    2. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  95. Tesfatsion, Leigh S., 1986. "Time Inconsistency of Benevolent Government Economies," Staff General Research Papers Archive 11206, Iowa State University, Department of Economics.

    Cited by:

    1. Hoyt, William H. & Jensen, Richard A., 1996. "Precommitment in a system of hierarchical governments," Regional Science and Urban Economics, Elsevier, vol. 26(5), pages 481-504, August.
    2. Hammond, Peter J., 2007. "History : Sunk Cost, or Widespread Externality?," The Warwick Economics Research Paper Series (TWERPS) 808, University of Warwick, Department of Economics.
    3. Tesfatsion, Leigh, 2014. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Staff General Research Papers Archive 37307, Iowa State University, Department of Economics.
    4. William H. Hoyt & Richard A. Jensen, 1995. "Precommitment and State and Local Policy Coordination," Public Economics 9508001, University Library of Munich, Germany.
    5. Reyer Gerlagh & Thomas Michielsen, 2015. "Moving targets—cost-effective climate policy under scientific uncertainty," Climatic Change, Springer, vol. 132(4), pages 519-529, October.
    6. Daniel Klein, 1990. "The microfoundations of rules vs. discretion," Constitutional Political Economy, Springer, vol. 1(3), pages 1-19, September.

  96. Tesfatsion, Leigh S., 1985. "Fair Division With Uncertain Needs and Tastes," Staff General Research Papers Archive 11207, Iowa State University, Department of Economics.

    Cited by:

    1. Nunes, Luís Beato, 2016. "Schumpeter's entrepreneurs in the 20th century: The Tucker automobile," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 14-20.

  97. Tesfatsion, Leigh S., 1984. "Welfare Implications of Net Social Security Wealth," Staff General Research Papers Archive 11208, Iowa State University, Department of Economics.

    Cited by:

    1. Kim, Jae Kyeong, 1997. "Social security trust fund (SSTF), the government fiscal use of the SSTF, and intergenerational equity," ISU General Staff Papers 1997010108000012996, Iowa State University, Department of Economics.

  98. Tesfatsion, Leigh S., 1984. "Games, Goals, and Bounded Rationality," Staff General Research Papers Archive 11209, Iowa State University, Department of Economics.

    Cited by:

    1. Zhou, Qun & Tesfatsion, Leigh & Liu, Chen-Ching & Chu, Ron F. & Sun, Wei, 2013. "A Nash Approach to Planning Merchant Transmission for Renewable Resource Integration," Staff General Research Papers Archive 36496, Iowa State University, Department of Economics.
    2. Philippe Jeniel, 2001. "Analogy-Based Expectation Equilibrium," Economics Working Papers 0003, Institute for Advanced Study, School of Social Science.

  99. Kalaba, Robert E. & Tesfatsion, Leigh S. & Wang, J.-L., 1983. "A Finite Algorithm for the Exact Evaluation of Higher-Order Partial Derivatives of Functions of Many Variables," Staff General Research Papers Archive 11211, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  100. Tesfatsion, Leigh S., 1982. "A Dual Approach to Bayesian Inference and Adaptive Control," Staff General Research Papers Archive 11213, Iowa State University, Department of Economics.

    Cited by:

    1. Mason, Charles F. & Phillips, Owen R., 2001. "Dynamic learning in a two-person experimental game," Journal of Economic Dynamics and Control, Elsevier, vol. 25(9), pages 1305-1344, September.
    2. Dassios, Ioannis K. & Szajowski, Krzysztof J., 2016. "Bayesian optimal control for a non-autonomous stochastic discrete time system," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 556-564.

  101. Tesfatsion, Leigh S., 1982. "Macro Implications of Government Redistributive Tax-Transfer Policies," Staff General Research Papers Archive 11212, Iowa State University, Department of Economics.

    Cited by:

    1. Preston J. Miller, 1983. "Income stability and economic efficiency under alternative tax schemes," Staff Report 86, Federal Reserve Bank of Minneapolis.

  102. Kalaba, Robert E. & Tesfatsion, Leigh S., 1981. "Exact Sequential Solutions for a Class of Discrete-Time Nonlinear Estimation Problems," Staff General Research Papers Archive 11216, Iowa State University, Department of Economics.

    Cited by:

    1. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.

  103. Kalaba, Robert E. & Tesfatsion, Leigh S., 1981. "Complete Comparative Static Differential Equations," Staff General Research Papers Archive 11221, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  104. Kalaba, Robert E. & Spingarn, K. & Tesfatsion, Leigh S., 1981. "Individual Tracking of an Eigenvalue and Eigenvector of a Parameterized Matrix," Staff General Research Papers Archive 11218, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  105. Kalaba, Robert E. & Spingarn, K. & Tesfatsion, Leigh S., 1981. "Variational Equations for the Eigenvalues and Eigenvectors of Nonsymmetric Matrices," Staff General Research Papers Archive 11219, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  106. Tesfatsion, Leigh S., 1981. "Dynamic Investment, Risk Aversion, and Foresight Sensitivity," Staff General Research Papers Archive 11217, Iowa State University, Department of Economics.

    Cited by:

    1. Hildreth, Clifford, 1983. "Qualitative Analysis Of Production And Hedging," Staff Papers 13765, University of Minnesota, Department of Applied Economics.

  107. Kalaba, Robert E. & Tesfatsion, Leigh S. & Wang, J.-L., 1981. "Local and Nonlocal Comparative Static Analysis of Economic Systems," Staff General Research Papers Archive 11220, Iowa State University, Department of Economics.

    Cited by:

    1. Max E. Jerrell, 1999. "Environments for Global Optimization Using Interval Arithmetic and Computational (Automatic) Differentiation," Computing in Economics and Finance 1999 1321, Society for Computational Economics.

  108. Kalaba, Robert E. & Tesfatsion, Leigh S., 1980. "A Least-Squares Model Specification Test for a Class of Dynamic Nonlinear Economic Models With Systematically Varying Parameters," Staff General Research Papers Archive 11222, Iowa State University, Department of Economics.

    Cited by:

    1. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 258-293, June.
    2. Robert Kalaba & Leigh Tesfatsion, 1995. "A Multicriteria Approach to Model Specification and Estimation," Econometrics 9501001, University Library of Munich, Germany.

  109. Tesfatsion, Leigh S., 1980. "Global and Approximate Global Optimality of Myopic Economic Decisions," Staff General Research Papers Archive 11224, Iowa State University, Department of Economics.

    Cited by:

    1. Forster, D. Lynn, 1985. "Optimum Phosphorus Fertilization," 1985 Annual Meeting, August 4-7, Ames, Iowa 278669, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

Articles

  1. Battula, Swathi & Tesfatsion, Leigh & McDermott, Thomas E., 2020. "An ERCOT test system for market design studies," Applied Energy, Elsevier, vol. 275(C).

    Cited by:

    1. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    2. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2022. "Open and Crowd-Based Platforms: Impact on Organizational and Market Performance," Sustainability, MDPI, vol. 14(4), pages 1-26, February.
    3. Cheng, Rui & Tesfatsion, Leigh & Wang, Zhaoyu, 2021. "A Multiperiod Consensus-Based Transactive Energy System for Unbalanced Distribution Networks," ISU General Staff Papers 202104230700001126, Iowa State University, Department of Economics.
    4. Tesfatsion, Leigh, 2022. "Economics of Grid-Supported Electric Power Markets: A Fundamental Reconsideration," ISU General Staff Papers 202209141325510000, Iowa State University, Department of Economics.

  2. Steven Manson & Li An & Keith C. Clarke & Alison Heppenstall & Jennifer Koch & Brittany Krzyzanowski & Fraser Morgan & David O'Sullivan & Bryan C Runck & Eric Shook & Leigh Tesfatsion, 2020. "Methodological Issues of Spatial Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-3.
    See citations under working paper version above.
  3. Nguyen, Hieu Trung & Battula, Swathi & Takkala, Rohit Reddy & Wang, Zhaoyu & Tesfatsion, Leigh, 2019. "An integrated transmission and distribution test system for evaluation of transactive energy designs," Applied Energy, Elsevier, vol. 240(C), pages 666-679.
    See citations under working paper version above.
  4. Leigh Tesfatsion, 2017. "Modeling economic systems as locally-constructive sequential games," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 384-409, October.
    See citations under working paper version above.
  5. Leigh Tesfatsion, 2017. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 192-216, March.
    See citations under working paper version above.
  6. Sinitskaya, Ekaterina & Tesfatsion, Leigh, 2015. "Macroeconomies as constructively rational games," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 152-182.
    See citations under working paper version above.
  7. Li, Hongyan & Tesfatsion, Leigh, 2012. "Co-learning patterns as emergent market phenomena: An electricity market illustration," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 395-419.
    See citations under working paper version above.
  8. Leigh Tesfatsion, 2011. "Agent-based Modeling and Institutional Design," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 13-19.
    See citations under working paper version above.
  9. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
    See citations under working paper version above.
  10. Tesfatsion, Leigh, 2007. "Agents come to bits: Towards a constructive comprehensive taxonomy of economic entities," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 333-346, June.
    See citations under working paper version above.
  11. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    See citations under working paper version above.
  12. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
    See citations under working paper version above.
  13. Tesfatsion, Leigh, 2001. "Structure, behavior, and market power in an evolutionary labor market with adaptive search," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 419-457, March.
    See citations under working paper version above.
  14. McFadzean, David & Tesfatsion, Leigh, 1999. "A C++ Platform for the Evolution of Trade Networks," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 109-134, October.
    See citations under working paper version above.
  15. Pingle, Mark & Tesfatsion, Leigh, 1998. "Active intermediation in a monetary overlapping generations economy1," Journal of Economic Dynamics and Control, Elsevier, vol. 22(10), pages 1543-1574, August.
    See citations under working paper version above.
  16. Pingle, Mark & Tesfatsion, Leigh, 1998. "Active Intermediation In Overlapping Generations Economies With Production And Unsecured Debt," Macroeconomic Dynamics, Cambridge University Press, vol. 2(2), pages 183-212, June.
    See citations under working paper version above.
  17. Orazem, Peter & Tesfatsion, Leigh, 1997. "Macrodynamic Implications of Income-Transfer Policies for Human Capital Investment and School Effort," Journal of Economic Growth, Springer, vol. 2(3), pages 305-329, September.
    See citations under working paper version above.
  18. Kalaba, Robert & Tesfatsion, Leigh, 1996. "A multicriteria approach to model specification and estimation," Computational Statistics & Data Analysis, Elsevier, vol. 21(2), pages 193-214, February.
    See citations under working paper version above.
  19. Tesfatsion, Leigh, 1992. "Nonlocal Automated Comparative Static Analysis," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(4), pages 313-331, November.
    See citations under working paper version above.
  20. Pingle, Mark & Tesfatsion, Leigh, 1991. "Overlapping generations, intermediation, and the First Welfare Theorem," Journal of Economic Behavior & Organization, Elsevier, vol. 15(3), pages 325-345, May.
    See citations under working paper version above.
  21. Tesfatsion, Leigh & Veitch, John M., 1990. "U.S. money demand instability A flexible least squares approach," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 151-173, February.
    See citations under working paper version above.
  22. Kalaba, R. & Tesfatsion, L., 1990. "A further note on flexible least squares and Kalman filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 183-185, February.
    See citations under working paper version above.
  23. Kalaba, Robert & Rasakhoo, Nima & Tesfatsion, Leigh, 1989. "A FORTRAN program for time-varying linear regression via flexible least squares," Computational Statistics & Data Analysis, Elsevier, vol. 7(3), pages 291-309, February.
    See citations under working paper version above.
  24. Kalaba, Robert & Tesfatsion, Leigh, 1988. "The flexible least squares approach to time-varying linear regression," Journal of Economic Dynamics and Control, Elsevier, vol. 12(1), pages 43-48, March.
    See citations under working paper version above.
  25. Tesfatsion, Leigh, 1986. "Time inconsistency of benevolent government economies," Journal of Public Economics, Elsevier, vol. 31(1), pages 25-52, October.
    See citations under working paper version above.
  26. Tesfatsion, Leigh, 1984. "Welfare implications of net social security wealth," Journal of Public Economics, Elsevier, vol. 24(1), pages 1-27, June.
    See citations under working paper version above.
  27. Tesfatsion, Leigh, 1982. "Macro implications of government redistributive tax-transfer policies," Journal of Public Economics, Elsevier, vol. 19(2), pages 139-169, November.
    See citations under working paper version above.
  28. Tesfatsion, Leigh, 1981. "Dynamic investment, risk aversion, and foresight sensitivity," Journal of Economic Dynamics and Control, Elsevier, vol. 3(1), pages 65-96, November.
    See citations under working paper version above.
  29. Tesfatsion, Leigh, 1980. "Global and approximate global optimality of myopic economic decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 135-160, May.
    See citations under working paper version above.
  30. Hildreth, Clifford & Tesfatsion, Leigh, 1977. "A note on dependence between a venture and a current prospect," Journal of Economic Theory, Elsevier, vol. 15(2), pages 381-391, August.

    Cited by:

    1. Hildreth, Clifford, 1983. "Qualitative Analysis Of Production And Hedging," Staff Papers 13765, University of Minnesota, Department of Applied Economics.
    2. Hildreth, Clifford, 1976. "A Model Of Grain Storage And Hedging By Farmers," Staff Papers 14083, University of Minnesota, Department of Applied Economics.
    3. Knowles, Glenn J., 1980. "Estimating Utility Functions," Risk Analysis in Agriculture: Research and Educational Developments, January 16-18, 1980, Tucson, Arizona 271570, Regional Research Projects > W-149: An Economic Evaluation of Managing Market Risks in Agriculture.

  31. Leigh Tesfatsion, 1976. "Stochastic Dominance and the Maximization of Expected Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(2), pages 301-315.

    Cited by:

    1. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Mean-Variance and Stochastic Dominance Approach," Working Papers in Economics 10/18, University of Canterbury, Department of Economics and Finance.
    2. Ewerhart, Christian & Tapking, Jens, 2008. "Repo markets, counterparty risk and the 2007/2008 liquidity crisis," Working Paper Series 909, European Central Bank.
    3. Ola Mahmoud, 2022. "The Willingness to Pay for Diversification," Management Science, INFORMS, vol. 68(8), pages 6235-6249, August.
    4. Li, Jingyuan & Dionne, Georges, 2011. "A theoretical extension of the consumption-based CAPM model," Working Papers 10-8, HEC Montreal, Canada Research Chair in Risk Management.
    5. Egozcue, Martin & Wong, Wing-Keung, 2010. "Gains from diversification on convex combinations: A majorization and stochastic dominance approach," European Journal of Operational Research, Elsevier, vol. 200(3), pages 893-900, February.
    6. Dominic Gasbarro & Wing-Keung Wong & J. Kenton Zumwalt, 2007. "Stochastic Dominance Analysis of iShares," The European Journal of Finance, Taylor & Francis Journals, vol. 13(1), pages 89-101.
    7. Li, Jingyuan, 2011. "The demand for a risky asset in the presence of a background risk," Journal of Economic Theory, Elsevier, vol. 146(1), pages 372-391, January.
    8. Georges Dionne & Jingyuan Li & Cedric Okou, 2012. "An Extension of the Consumption-based CAPM Model," Cahiers de recherche 1214, CIRPEE.
    9. Broll, Udo & Wong, Wing-Keung & Wu, Mojia, 2013. "Banking Firm and Two-Moment Decision Making," MPRA Paper 51687, University Library of Munich, Germany.
    10. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Lean, Hooi-Hooi & Wong, Wing-Keung & Zhang, Xibin, 2008. "The sizes and powers of some stochastic dominance tests: A Monte Carlo study for correlated and heteroskedastic distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(1), pages 30-48.
    12. Casper G. de Vries & Mandira Sarma & Bjørn N. Jorgensen & Jean-Pierre Zigrand & Jon Danielsson, 2006. "Consistent Measures of Risk," FMG Discussion Papers dp565, Financial Markets Group.
    13. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    14. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance," Working Papers in Economics 10/22, University of Canterbury, Department of Economics and Finance.
    15. De Donno, Marzia & Menegatti, Mario, 2022. "On the relationship between comparisons of risk aversion of different orders," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    16. Dionne, Georges & Li, Jingyuan, 2014. "When can expected utility handle first-order risk aversion?," Working Papers 11-1, HEC Montreal, Canada Research Chair in Risk Management.
    17. Chan, Raymond H. & Clark, Ephraim & Wong, Wing-Keung, 2012. "On the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors," MPRA Paper 42676, University Library of Munich, Germany.
    18. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," Econometric Institute Research Papers EI 2010-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Brendan Kline, 2016. "Identification of the Direction of a Causal Effect by Instrumental Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 176-184, April.
    20. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    21. Chan, Raymond H. & Chow, Sheung-Chi & Guo, Xu & Wong, Wing-Keung, 2022. "Central moments, stochastic dominance, moment rule, and diversification with an application," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    22. Alaouze, Chris M., 1991. "Transferable Water Entitlements Which Satisfy Heterogeneous Risk Preferences," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 35(2), pages 1-12, August.
    23. Fan, Yanqin & Park, Sang Soo, 2009. "Partial identification of the distribution of treatment effects and its confidence sets," MPRA Paper 37148, University Library of Munich, Germany.
    24. Ehsan Azmoodeh & Ozan Hur, 2023. "Multi-fractional Stochastic Dominance: Mathematical Foundations," Papers 2307.08651, arXiv.org.
    25. Wong, Wing-Keung, 2007. "Stochastic dominance and mean-variance measures of profit and loss for business planning and investment," European Journal of Operational Research, Elsevier, vol. 182(2), pages 829-843, October.
    26. Enrico G. De Giorgi & Ola Mahmoud, 2016. "Naive Diversification Preferences and their Representation," Papers 1611.01285, arXiv.org, revised Nov 2016.
    27. Wing-Keung Wong & Raymond H. Chan, 2005. "Prospect and Markowitz Stochastic Dominance," Monash Economics Working Papers 08/05, Monash University, Department of Economics.
    28. Okou, Cedric & Maalaoui Chun, Olfa & Dionne, Georges & Li, Jingyuan, 2016. "Can Higher-Order Risks Explain the Credit Spread Puzzle?," Working Papers 16-1, HEC Montreal, Canada Research Chair in Risk Management.
    29. Jingyuan Li, 2012. "Precautionary saving in the presence of labor income and interest rate risks," Journal of Economics, Springer, vol. 106(3), pages 251-266, July.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. Hongyan Li & Junjie Sun & Leigh Tesfatsion, 2011. "Testing Institutional Arrangements via Agent-Based Modeling: A U.S. Electricity Market Application," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 135-158, Springer.

    Cited by:

    1. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.

  2. Paul L. Borrill & Leigh Tesfatsion, 2011. "Agent-based Modeling: The Right Mathematics for the Social Sciences?," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 11, Edward Elgar Publishing.
    See citations under working paper version above.
  3. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    See citations under working paper version above.
  4. Mark Pingle & Leigh Tesfatsion, 2003. "Evolution of Worker-Employer Networks and Behaviors under Alternative Non-Employment Benefits: An Agent-Based Computational Study," Chapters, in: Anna Nagurney (ed.), Innovations in Financial and Economic Networks, chapter 12, pages 256-285, Edward Elgar Publishing.
    See citations under working paper version above.

Books

  1. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.

    Cited by:

    1. Igor Evstigneev & Michael Taksar, 2006. "Dynamic interaction models of economic equilibrium," Economics Discussion Paper Series 0623, Economics, The University of Manchester.
    2. Sun, Junjie & Tesfatsion, Leigh S., 2006. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Staff General Research Papers Archive 12649, Iowa State University, Department of Economics.
    3. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    4. Xin, Baohua, 2022. "From Lab Experiments to the Field: The Case of a Price Formation Model Based on Laboratory Findings," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    5. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. De Vroey Michel & Duarte Pedro Garcia, 2013. "In search of lost time: the neoclassical synthesis," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-31, January.
    7. Rodolphe Buda, 2007. "Propositions for the Building of a Quantitative Austrian Modelling: An Answer to Prof. Rizzo and to Prof. Vriend," Working Papers hal-04139234, HAL.
    8. Pascal Seppecher & Isabelle Salle & Marc Lavoie, 2017. "What drives markups? Evolutionary pricing in an agent-based stock-flow consistent macroeconomic model," CEPN Working Papers 2017-03, Centre d'Economie de l'Université de Paris Nord.
    9. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    10. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
    11. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    12. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Paul De Grauwe, 2012. "Booms and busts: New Keynesian and behavioural explanations," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 6, pages 149-180, Edward Elgar Publishing.
    14. Kyrtsou, Catherine & Labys, Walter C., 2007. "Detecting positive feedback in multivariate time series: The case of metal prices and US inflation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 227-229.
    15. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    16. T. Balint & F. Lamperti & Antoine Mandel & Mauro Napoletano & A. Roventini & A. Sapio, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01906003, HAL.
    17. Neugart, Michael & Richiardi, Matteo, 2018. "Agent-based models of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110862, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    19. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 999-1014.
    20. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "When more Flexibility Yields more Fragility: the Microfoundations of Keynesian Aggregate Unemployment," LEM Papers Series 2016/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
    22. Jaqueson K. Galimberti & Sergio da Silva, 2012. "An empirical case against the use of genetic-based learning classifier systems as forecasting devices," Economics Bulletin, AccessEcon, vol. 32(1), pages 354-369.
    23. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    24. Frank Beckenbach & Maria Daskalakis & David Hofmann, 2012. "Agent-based modelling of novelty creating behavior and sectoral growth effects—Linking the creative and the destructive side of innovation," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 513-542, July.
    25. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    26. Behrooz Hassani-Mahmooei, Behrooz & Vahabi, Mehrdad, 2013. "Identity, Authority and Evolution of Order: the trajectory of dueling simulated," MPRA Paper 48219, University Library of Munich, Germany, revised 10 Jul 2013.
    27. Dirk G Baur & Kristoffer Glover, 2012. "A Gold Bubble?," Working Paper Series 175, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    28. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    29. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," SciencePo Working papers Main hal-03443457, HAL.
    30. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    31. Tomáš Klinger & Petr Teply, 2014. "Modelling Interconnections in the Global Financial System in the Light of Systemic Risk," ACTA VSFS, University of Finance and Administration, vol. 8(1), pages 64-88.
    32. Nadia Fiorino & Emma Galli & Ilde Rizzo & Marco Valente, 2018. "Public Procurement and Reputation: An Agent-Based Model," SPRU Working Paper Series 2018-17, SPRU - Science Policy Research Unit, University of Sussex Business School.
    33. Piero Ferri & AnnaMaria Variato, 2010. "Financial Fragility, the Minskian Triad, and Economic Dynamics," International Journal of Political Economy, Taylor & Francis Journals, vol. 39(2), pages 70-82.
    34. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," Working Papers halshs-02956879, HAL.
    35. Stephan Schulmeister, 2014. "A General Financial Transactions Tax. Motives, Effects and Implementation According to the Proposal of the European Commission," WIFO Working Papers 461, WIFO.
    36. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    37. Li, Xi Hao, 2013. "Standardization for Agent-based Modeling in Economics," MPRA Paper 47396, University Library of Munich, Germany.
    38. Isabelle Salle & Murat Yıldızoğlu, 2014. "Efficient Sampling and Meta-Modeling for Computational Economic Models," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 507-536, December.
    39. J. Silvestre, & T. Araújo & M. St. Aubyn, 2016. "Economic growth and individual satisfaction in an agent-based economy," Working Papers Department of Economics 2016/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    40. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    41. David Colander & Peter Howitt & Alan Kirman & Axel Leijonhufvud & Perry Mehrling, 2008. "Beyond DSGE Models: Toward an Empirically Based Macroeconomics," American Economic Review, American Economic Association, vol. 98(2), pages 236-240, May.
    42. Georges SARAFOPOULOS & Kosmas PAPADOPOULOS, 2017. "On A Cournot Duopoly Game With Differentiated Goods, Heterogeneous Expectations And A Cost Function Including Emission Costs," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 16(1), pages 11-22.
    43. Citera, Emanuele & Gouri Suresh, Shyam & Setterfield, Mark, 2023. "The network origins of aggregate fluctuations: A demand-side approach," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 111-123.
    44. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011-04, Christian-Albrechts-University of Kiel, Department of Economics.
    45. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
    46. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2022. "Firm–bank credit network, business cycle and macroprudential policy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 475-499, April.
    47. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    48. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," SciencePo Working papers Main hal-01070338, HAL.
    49. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    50. Jean-Luc Gaffard & Mauro Napoletano, 2018. "Hétérogénéité des agents, interconnexions financières et politique monétaire : une approche non-conventionnelle," Sciences Po publications info:hdl:2441/1gb0ntthu59, Sciences Po.
    51. Stephan Schuster, 2012. "BRA: An Algorithm for Simulating Bounded Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 39(1), pages 51-69, January.
    52. Chen, Siyan & Desiderio, Saul, 2017. "What moves the Beveridge curve and the Phillips curve: An agent-based analysis," Economics Discussion Papers 2017-65, Kiel Institute for the World Economy (IfW Kiel).
    53. Siyan Chen & Saul Desiderio, 2023. "An agent-based framework for the analysis of the macroeconomic effects of population aging," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 393-427, April.
    54. Giulio Bottazzi & Pietro Dindo, 2010. "Evolution and market behavior with endogenous investment rules," LEM Papers Series 2010/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    55. Christian Bauer & Paul De Grauwe & Stefan Reitz, 2007. "Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach," CESifo Working Paper Series 2080, CESifo.
    56. Deniz Erdemlioglu & Nikola Gradojevic, 2020. "Heterogeneous investment horizons, risk regimes, and realized jumps," Post-Print hal-02995997, HAL.
    57. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
    58. Chia-Hsuan Yeh, 2007. "The role of intelligence in time series properties," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 95-123, September.
    59. Stelios D. Bekiros, 2013. "Irrational fads, short‐term memory emulation, and asset predictability," Review of Financial Economics, John Wiley & Sons, vol. 22(4), pages 213-219, November.
    60. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
    61. Desmarchelier, Benoît & Regis, Paulo José & Salike, Nimesh, 2018. "Product space and the development of nations: A model of product diversification," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 34-51.
    62. Florian Hauser & Bob Kaempff, 2013. "Evolution of trading strategies in a market with heterogeneously informed agents," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 575-607, July.
    63. Gérard Ballot & Antoine Mandel & Annick Vignes, 2015. "Agent-based modeling and economic theory: where do we stand?," PSE-Ecole d'économie de Paris (Postprint) halshs-01296643, HAL.
    64. Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
    65. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph E. Stiglitz & Tania Treibich, 2020. "Rational Heuristics? Expectations And Behaviors In Evolving Economies With Heterogeneous Interacting Agents," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1487-1516, July.
    66. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    67. M. L. Bertotti & G. Modanese, 2016. "Mathematical models describing the effects of different tax evasion behaviors," Papers 1701.02662, arXiv.org.
    68. Schipper, Burkhard C., 2009. "Imitators and optimizers in Cournot oligopoly," Journal of Economic Dynamics and Control, Elsevier, vol. 33(12), pages 1981-1990, December.
    69. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    70. Eugenio Caverzasi & Antoine Godin, 2013. "Stock-flow Consistent Modeling through the Ages," Economics Working Paper Archive wp_745, Levy Economics Institute.
    71. Shu-Heng Chen & Tina Yu, 2011. "Toward an Autonomous-Agents Inspired Economic Analysis," ASSRU Discussion Papers 1118, ASSRU - Algorithmic Social Science Research Unit.
    72. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
    73. Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020. "Deep Learning for Financial Applications : A Survey," Papers 2002.05786, arXiv.org.
    74. Russo, Alberto, 2017. "Dopo il keynesismo: teorie economiche per una (non-) politica economica [After Keynesianism: Economic Theories for a (non) Economic Policy]," MPRA Paper 83346, University Library of Munich, Germany.
    75. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
    76. Schmitt, Noemi, 2018. "Heterogeneous expectations and asset price dynamics," BERG Working Paper Series 134, Bamberg University, Bamberg Economic Research Group.
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