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Agent-based Models of Innovation and Technological Change

In: Handbook of Computational Economics

Citations

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Cited by:

  1. Dosi, Giovanni & Lamperti, Francesco & Mazzucato, Mariana & Napoletano, Mauro & Roventini, Andrea, 2023. "Mission-oriented policies and the “Entrepreneurial State” at work: An agent-based exploration," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
  2. 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.
  3. Herbert Dawid & Michael Neugart, 2023. "Effects of technological change and automation on industry structure and (wage-)inequality: insights from a dynamic task-based model," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 35-63, January.
  4. Patrick Mellacher, 2021. "Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model," Papers 2111.09407, arXiv.org, revised Nov 2023.
  5. 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.
  6. 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.
  7. Simone Marsiglio & Marco Tolotti, 2018. "Endogenous growth and technological progress with innovation driven by social interactions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 293-328, March.
  8. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
  9. repec:hal:spmain:info:hdl:2441/401t6job098n79ch91o9giov9d is not listed on IDEAS
  10. Luca Colombo & Herbert Dawid & Kordian Kabus, 2012. "When do thick venture capital markets foster innovation? An evolutionary analysis," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 79-108, January.
  11. Cevikarslan, Salih, 2013. "Optimal patent length and patent breadth in an R&D driven market with evolving consumer preferences: An evolutionary multi-agent based modelling approach," MERIT Working Papers 2013-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  12. Pascal Aßmuth, 2018. "The Impact of Credit Rating on Innovation in a Two-Sector Evolutionary Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 839-872, October.
  13. Ахмадеев Б.А.* & Макаров В.Л.**, 2019. "Система Оценки Проектов На Основе Комбинированных Методов Компьютерной Оптимизации," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 5-23, апрель.
  14. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
  15. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2013. "Knowledge intensive business services and long term growth," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 188-205.
  16. 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.
  17. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
  18. Bogner, Kristina, 2015. "The effect of project funding on innovative performance: An agent-based simulation model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 10-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  19. 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.
  20. Stefania Vitali & Gabriele Tedeschi & Mauro Gallegati, 2013. "The impact of classes of innovators on technology, financial fragility, and economic growth," Industrial and Corporate Change, Oxford University Press, vol. 22(4), pages 1069-1091, August.
  21. 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.
  22. 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.
  23. 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).
  24. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
  25. Klaus Wersching, 2007. "Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(1), pages 1-25, June.
  26. Kerstin Hötte, 2021. "Skill transferability and the stability of transition pathways- A learning-based explanation for patterns of diffusion," Journal of Evolutionary Economics, Springer, vol. 31(3), pages 959-993, July.
  27. 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.
  28. Bin-Tzong Chie & Shu-Heng Chen, 2014. "Competition in a New Industrial Economy: Toward an Agent-Based Economic Model of Modularity," Administrative Sciences, MDPI, vol. 4(3), pages 1-27, July.
  29. Saljooghi, Saeed & Safisamghabadib, Azamdokht, 2016. "Analyzing Semiconductor component's market sales data to create an Expert Fuzzy inference system," MPRA Paper 79846, University Library of Munich, Germany.
  30. Kaufmann, Peter & Stagl, Sigrid & Franks, Daniel W., 2009. "Simulating the diffusion of organic farming practices in two New EU Member States," Ecological Economics, Elsevier, vol. 68(10), pages 2580-2593, August.
  31. Klaus Wersching, 2010. "Schumpeterian Competition, Technological Regimes and Learning through Knowledge Spillover," Post-Print hal-00849408, HAL.
  32. Leonardo Bargigli & Gabriele Tedeschi, 2013. "Major trends in agent-based economics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 211-217, October.
  33. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2017. "Economic growth, business cycles and products variety: exploring the role of demand satiety," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 503-529, July.
  34. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
  35. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
  36. d’Andria, D. & Savin, I., 2018. "A Win-Win-Win? Motivating innovation in a knowledge economy with tax incentives," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 38-56.
  37. M’hand Fares & Fateh Mamine, 2023. "Relative Importance of Barriers and Levers to Intercropping Systems Adoption: A Comparison of Farms and Co-Operatives," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
  38. Alessandro Caiani, 2017. "Innovation Dynamics and Industry Structure Under Different Technological Spaces," 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 307-341, November.
  39. Gianluca Misuraca & Luigi Geppert & Cristiano Codagnone, 2017. "i-FRAME – Assessing impacts of social policy innovation in the EU: Proposed methodological framework to evaluate socio-economic returns on investment of social policy innovations," JRC Research Reports JRC108078, Joint Research Centre.
  40. Lamantia, F. & Radi, D., 2015. "Exploitation of renewable resources with differentiated technologies: An evolutionary analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 155-174.
  41. Herbert Dawid & Marc Reimann, 2011. "Diversification: a road to inefficiency in product innovations?," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 191-229, May.
  42. 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.
  43. Robert Jump, 2014. "Animal spirits and unemployment: a disequilibrium analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 255-274, October.
  44. 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.
  45. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
  46. Paolo Pellizzari & Elena Sartori & Marco Tolotti, 2015. "Trade-In Programs in the Context of Technological Innovation with Herding," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 219-230, Springer.
  47. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
  48. Herbert Dawid & Philipp Harting & Sander van der Hoog, 2019. "Manager remuneration, share buybacks, and firm performance," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 681-706.
  49. Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2023. "Mind the Knowledge Gap! The Origins of Declining Business Dynamism in a Macro Agent-Based Model," CESifo Working Paper Series 10694, CESifo.
  50. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
  51. Jackson, Jerry, 2007. "Are US utility standby rates inhibiting diffusion of customer-owned generating systems?," Energy Policy, Elsevier, vol. 35(3), pages 1896-1908, March.
  52. 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.
  53. Fabio Lamantia & Anghel Negriu & Jan Tuinstra, 2018. "Technology choice in an evolutionary oligopoly game," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 335-356, November.
  54. Terranova, Roberta & Turco, Enrico M., 2022. "Concentration, stagnation and inequality: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 569-595.
  55. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2008. "Public policies and changing boundaries of firms in a "history-friendly" model of the co-evolution of the computer and semiconductor industries," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 355-380, August.
  56. Herbert Dawid & Marc Reimann, 2005. "Evaluating Market Attractiveness: Individual Incentives Versus Industry Profitability," Computational Economics, Springer;Society for Computational Economics, vol. 24(4), pages 321-355, June.
  57. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
  58. Antonelli Cristiano & Ferraris Gianluigi, 2012. "Endogenous knowledge externalities: an agent based simulation model where schumpeter meets Marshall," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201202, University of Turin.
  59. Wersching, Klaus, 2010. "Schumpeterian competition, technological regimes and learning through knowledge spillover," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 482-493, September.
  60. 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.
  61. Frank Beckenbach & Ramón Briegel, 2010. "Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts," International Economics and Economic Policy, Springer, vol. 7(2), pages 317-341, August.
  62. Sengupta, Abhijit & Sena, Vania, 2020. "Impact of open innovation on industries and firms – A dynamic complex systems view," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  63. Lamantia, F. & Negriu, A. & Tuinstra, J., 2016. "Evolutionary Cournot competition with endogenous technology choice: (in)stability and optimal policy," CeNDEF Working Papers 16-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  64. Dawid, Herbert, 2007. "Evolutionary game dynamics and the analysis of agent-based imitation models: The long run, the medium run and the importance of global analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2108-2133, June.
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