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Francesco Lamperti

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.

Working papers

  1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," SciencePo Working papers Main hal-03399637, HAL.

    Cited by:

    1. Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," GREDEG Working Papers 2024-10, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    3. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    4. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    5. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    6. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018. "The labour-augmented K+S model: a laboratory for the analysis of institutional and policy regimes," GLO Discussion Paper Series 241, Global Labor Organization (GLO).
    7. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    8. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    9. Dafermos, Yannis & Nikolaidi, Maria, 2019. "Fiscal policy and ecological sustainability: a post-Keynesian perspective," Greenwich Papers in Political Economy 37777, University of Greenwich, Greenwich Political Economy Research Centre.
    10. Gawith, David & Hodge, Ian & Morgan, Fraser & Daigneault, Adam, 2020. "Climate change costs more than we think because people adapt less than we assume," Ecological Economics, Elsevier, vol. 173(C).
    11. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    12. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. J. Rickman & M. Falkenberg & S. Kothari & F. Larosa & M. Grubb & N. Ameli, 2024. "The challenge of phasing-out fossil fuel finance in the banking sector," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    14. Stern, Nicholas, 2021. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 112808, London School of Economics and Political Science, LSE Library.
    15. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    16. Kennedy, Christopher, 2022. "The Intersection of Biophysical Economics and Political Economy," Ecological Economics, Elsevier, vol. 192(C).
    17. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    19. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a New Microfounded Macroeconomics in the Wake of the Crisis," LEM Papers Series 2018/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    21. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020. "Public policies and the art of catching up: matching the historical evidence with a multi-country agent-based model," LEM Papers Series 2020/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Asjad Naqvi & Engelbert Stockhammer, 2017. "Directed technological change in a post-Keynesian ecological macromodel," Working Papers PKWP1714, Post Keynesian Economics Society (PKES).
    23. 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.
    24. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    25. 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.
    26. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    27. D’Orazio, Paola & Popoyan, Lilit, 2019. "Fostering green investments and tackling climate-related financial risks: Which role for macroprudential policies?," Ecological Economics, Elsevier, vol. 160(C), pages 25-37.
    28. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2023. "Warming the MATRIX: a Climate Assessment under Uncertainty and Heterogeneity," FEEM Working Papers 334607, Fondazione Eni Enrico Mattei (FEEM).
    29. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Antoine Mandel & Solmaria Halleck Vega & Dan-Xia Wang, 2020. "The contribution of technological diffusion to climate change mitigation: a network-based approach," Post-Print halshs-02334594, HAL.
    31. Malafry, Laurence & Soares Brinca, Pedro, 2020. "Climate Policy in an Unequal World: Assessing the Cost of Risk on Vulnerable Households," MPRA Paper 100201, University Library of Munich, Germany.
    32. Monasterolo, Irene & Roventini, Andrea & Foxon, Tim J., 2019. "Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach," Ecological Economics, Elsevier, vol. 163(C), pages 177-182.
    33. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    34. Roger Cremades & Hermine Mitter & Nicu Constantin Tudose & Anabel Sanchez-Plaza & Anil Graves & Annelies Broekman & Steffen Bender & Carlo Giupponi & Phoebe Koundouri & Muhamad Bahri & Sorin Cheval & , 2019. "Ten principles to integrate the water-energy-land nexus with climate services for co-producing local and regional integrated assessments," DEOS Working Papers 1915, Athens University of Economics and Business.
    35. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," LEM Papers Series 2021/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
    37. De Bandt Olivier, & Jacolin Luc, & Lemaire Thibault., 2021. "Climate Change in Developing Countries: Global Warming Effects,Transmission Channels and Adaptation Policies," Working papers 822, Banque de France.
    38. Stern, Nicholas, 2022. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 113456, London School of Economics and Political Science, LSE Library.
    39. Matteo Coronese & Francesco Lamperti & Francesco Chiaromonte & Andrea Roventini, 2018. "Natural disaster Risk and the Distributional Dynamics of Damages," Documents de Travail de l'OFCE 2018-26, Observatoire Francais des Conjonctures Economiques (OFCE).
    40. Teresa Lackner & Luca E. Fierro & Patrick Mellacher, 2024. "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," Graz Economics Papers 2024-07, University of Graz, Department of Economics.
    41. Lilit Popoyan & Alessandro Sapio, 2023. "Prevention first vs. cap-and-trade policies in an agent-based integrated assessment model with GHG emissions permits," LEM Papers Series 2023/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
    43. Odenweller, Adrian, 2022. "Climate mitigation under S-shaped energy technology diffusion: Leveraging synergies of optimisation and simulation models," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    44. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    45. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    46. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
    47. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    48. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    49. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," Post-Print hal-03443471, HAL.
    50. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    51. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    52. 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).
    53. Michael Grubb & Rutger-Jan Lange & Nicolas Cerkez & Claudia Wieners & Ida Sognnaes & Pablo Salas, 2020. "Dynamic determinants of optimal global climate policy," Tinbergen Institute Discussion Papers 23-063/VI, Tinbergen Institute, revised 01 Aug 2024.
    54. Emanuele Russo & Neil Foster-McGregor & Bart Verpagen, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," LEM Papers Series 2019/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    55. Sylvie Geisendorf & Christian Klippert, 2022. "Integrated sustainability policy assessment – an agent-based ecological-economic model," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 1017-1048, July.
    56. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    57. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    58. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," LEM Papers Series 2022/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    59. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
    60. Sibel Eker & Charlie Wilson & Niklas Hohne & Mark S. McCaffrey & Irene Monasterolo & Leila Niamir & Caroline Zimm, 2023. "A dynamic systems approach to harness the potential of social tipping," Papers 2309.14964, arXiv.org.
    61. Teuku Naraski Zahari & Benjamin C. McLellan, 2023. "Review of Policies for Indonesia’s Electricity Sector Transition and Qualitative Evaluation of Impacts and Influences Using a Conceptual Dynamic Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    62. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
    63. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    64. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    65. Marco Amendola & Francesco Lamperti & Andrea Roventini & Alessandro Sapio, 2023. "Energy efficiency policies in an agent-based macroeconomic model," LEM Papers Series 2023/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    66. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    67. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    68. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    69. Luca Fontanelli, 2023. "Theories of Market Selection: A Survey," GREDEG Working Papers 2023-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    70. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    71. Chenet, Hugues & Ryan-Collins, Josh & van Lerven, Frank, 2021. "Finance, climate-change and radical uncertainty: Towards a precautionary approach to financial policy," Ecological Economics, Elsevier, vol. 183(C).
    72. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    73. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    74. Orlando Gomes, 2021. "Growth theory under heterogeneous heuristic behavior," Journal of Evolutionary Economics, Springer, vol. 31(2), pages 533-571, April.
    75. Moya, Diego & Budinis, Sara & Giarola, Sara & Hawkes, Adam, 2020. "Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector," Applied Energy, Elsevier, vol. 274(C).
    76. Nicholas Stern, 2022. "A Time for Action on Climate Change and a Time for Change in Economics," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1259-1289.
    77. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    78. 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.
    79. Bernardo Alves Furtado & Gustavo Onofre Andre~ao, 2022. "Machine Learning Simulates Agent-Based Model Towards Policy," Papers 2203.02576, arXiv.org, revised Nov 2022.
    80. Stern, Nicholas, 2021. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 112802, London School of Economics and Political Science, LSE Library.
    81. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    82. Hanna, Richard & Gross, Robert, 2021. "How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners," Energy Policy, Elsevier, vol. 149(C).
    83. Clara I. González & Soledad Núñez, 2019. "Mercados, entidades financieras y bancos centrales ante el cambio climático: retos y oportunidades," Working Papers 2019-06, FEDEA.
    84. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    85. Celso Brunetti & John Caramichael & Matteo Crosignani & Benjamin Dennis & Gurubala Kotta & Donald P. Morgan & Chaehee Shin & Ilknur Zer, 2022. "Climate-related Financial Stability Risks for the United States: Methods and Applications," Finance and Economics Discussion Series 2022-043, Board of Governors of the Federal Reserve System (U.S.).
    86. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    87. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    88. de Moura, Fernanda Senra & Barbrook-Johnson, Peter, 2022. "Using data-driven systems mapping to contextualise complexity economics insights," INET Oxford Working Papers 2022-27, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    89. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    90. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.t., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," LSE Research Online Documents on Economics 114941, London School of Economics and Political Science, LSE Library.

  2. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," SciencePo Working papers Main hal-01499344, HAL.

    Cited by:

    1. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    2. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    3. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    4. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    6. Chaitanya Kaligotla & Jonathan Ozik & Nicholson Collier & Charles M. Macal & Kelly Boyd & Jennifer Makelarski & Elbert S. Huang & Stacy T. Lindau, 2020. "Model Exploration of an Information-Based Healthcare Intervention Using Parallelization and Active Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-1.
    7. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    8. Nelson Vadori & Leo Ardon & Sumitra Ganesh & Thomas Spooner & Selim Amrouni & Jared Vann & Mengda Xu & Zeyu Zheng & Tucker Balch & Manuela Veloso, 2022. "Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations," Papers 2210.07184, arXiv.org, revised Aug 2023.
    9. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    10. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    12. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    13. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    14. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    15. Andrei I. Vlad & Alexei A. Romanyukha & Tatiana E. Sannikova, 2024. "Parameter Tuning of Agent-Based Models: Metaheuristic Algorithms," Mathematics, MDPI, vol. 12(14), pages 1-21, July.
    16. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    17. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Florian Kotthoff & Thomas Hamacher, 2022. "Calibrating Agent-Based Models of Innovation Diffusion with Gradients," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(3), pages 1-4.
    19. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2022. "Exploration of the Parameter Space in Macroeconomic Models," Post-Print hal-03797418, HAL.
    20. Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
    21. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    22. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," LEM Papers Series 2021/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
    24. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    25. Valdes Salvador & Gonzalo ValdesEdwards, 2023. "Microfoundations of Expected Utility and Response Times," Papers 2302.09421, arXiv.org.
    26. 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.
    27. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    28. Yuanlu Bai & Henry Lam & Svitlana Vyetrenko & Tucker Balch, 2021. "Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization," Papers 2112.03874, arXiv.org, revised Sep 2022.
    29. Chenkai Wang & Junji Ren & Peng Yang, 2024. "Alleviating Non-identifiability: a High-fidelity Calibration Objective for Financial Market Simulation with Multivariate Time Series Data," Papers 2407.16566, arXiv.org, revised Oct 2024.
    30. Andrea Coletta & Joseph Jerome & Rahul Savani & Svitlana Vyetrenko, 2023. "Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness," Papers 2306.12806, arXiv.org.
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    42. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    45. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.
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  3. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," GREDEG Working Papers 2024-10, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    3. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    4. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    5. Mattia Guerini & Francesco Lamperti & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2022. "Unconventional monetary policies in an agent-based model with mark-to-market standards," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 73-107, April.
    6. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018. "The labour-augmented K+S model: a laboratory for the analysis of institutional and policy regimes," GLO Discussion Paper Series 241, Global Labor Organization (GLO).
    7. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    8. Gourdel, Régis & Monasterolo, Irene & Dunz, Nepomuk & Mazzocchetti, Andrea & Parisi, Laura, 2022. "The double materiality of climate physical and transition risks in the euro area," Working Paper Series 2665, European Central Bank.
    9. Dafermos, Yannis & Nikolaidi, Maria, 2019. "Fiscal policy and ecological sustainability: a post-Keynesian perspective," Greenwich Papers in Political Economy 37777, University of Greenwich, Greenwich Political Economy Research Centre.
    10. Gawith, David & Hodge, Ian & Morgan, Fraser & Daigneault, Adam, 2020. "Climate change costs more than we think because people adapt less than we assume," Ecological Economics, Elsevier, vol. 173(C).
    11. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    12. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. J. Rickman & M. Falkenberg & S. Kothari & F. Larosa & M. Grubb & N. Ameli, 2024. "The challenge of phasing-out fossil fuel finance in the banking sector," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    14. Stern, Nicholas, 2021. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 112808, London School of Economics and Political Science, LSE Library.
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    18. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
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    21. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2020. "Public policies and the art of catching up: matching the historical evidence with a multi-country agent-based model," LEM Papers Series 2020/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Asjad Naqvi & Engelbert Stockhammer, 2017. "Directed technological change in a post-Keynesian ecological macromodel," Working Papers PKWP1714, Post Keynesian Economics Society (PKES).
    23. 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.
    24. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
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    29. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    30. Antoine Mandel & Solmaria Halleck Vega & Dan-Xia Wang, 2020. "The contribution of technological diffusion to climate change mitigation: a network-based approach," Post-Print halshs-02334594, HAL.
    31. Malafry, Laurence & Soares Brinca, Pedro, 2020. "Climate Policy in an Unequal World: Assessing the Cost of Risk on Vulnerable Households," MPRA Paper 100201, University Library of Munich, Germany.
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    33. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    34. Roger Cremades & Hermine Mitter & Nicu Constantin Tudose & Anabel Sanchez-Plaza & Anil Graves & Annelies Broekman & Steffen Bender & Carlo Giupponi & Phoebe Koundouri & Muhamad Bahri & Sorin Cheval & , 2019. "Ten principles to integrate the water-energy-land nexus with climate services for co-producing local and regional integrated assessments," DEOS Working Papers 1915, Athens University of Economics and Business.
    35. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," LEM Papers Series 2021/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
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    38. Stern, Nicholas, 2022. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 113456, London School of Economics and Political Science, LSE Library.
    39. Matteo Coronese & Francesco Lamperti & Francesco Chiaromonte & Andrea Roventini, 2018. "Natural disaster Risk and the Distributional Dynamics of Damages," Documents de Travail de l'OFCE 2018-26, Observatoire Francais des Conjonctures Economiques (OFCE).
    40. Teresa Lackner & Luca E. Fierro & Patrick Mellacher, 2024. "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," Graz Economics Papers 2024-07, University of Graz, Department of Economics.
    41. Lilit Popoyan & Alessandro Sapio, 2023. "Prevention first vs. cap-and-trade policies in an agent-based integrated assessment model with GHG emissions permits," LEM Papers Series 2023/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
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    45. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    46. Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2024. "How carbon pricing affects multiple human needs: An agent-based model analysis," Ecological Economics, Elsevier, vol. 217(C).
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    48. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
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    54. Emanuele Russo & Neil Foster-McGregor & Bart Verpagen, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," LEM Papers Series 2019/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    55. Sylvie Geisendorf & Christian Klippert, 2022. "Integrated sustainability policy assessment – an agent-based ecological-economic model," Journal of Evolutionary Economics, Springer, vol. 32(3), pages 1017-1048, July.
    56. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    57. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    58. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," LEM Papers Series 2022/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    59. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
    60. Sibel Eker & Charlie Wilson & Niklas Hohne & Mark S. McCaffrey & Irene Monasterolo & Leila Niamir & Caroline Zimm, 2023. "A dynamic systems approach to harness the potential of social tipping," Papers 2309.14964, arXiv.org.
    61. Teuku Naraski Zahari & Benjamin C. McLellan, 2023. "Review of Policies for Indonesia’s Electricity Sector Transition and Qualitative Evaluation of Impacts and Influences Using a Conceptual Dynamic Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    62. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
    63. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    64. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
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    84. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    85. Celso Brunetti & John Caramichael & Matteo Crosignani & Benjamin Dennis & Gurubala Kotta & Donald P. Morgan & Chaehee Shin & Ilknur Zer, 2022. "Climate-related Financial Stability Risks for the United States: Methods and Applications," Finance and Economics Discussion Series 2022-043, Board of Governors of the Federal Reserve System (U.S.).
    86. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    87. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    88. de Moura, Fernanda Senra & Barbrook-Johnson, Peter, 2022. "Using data-driven systems mapping to contextualise complexity economics insights," INET Oxford Working Papers 2022-27, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    89. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    90. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.t., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," LSE Research Online Documents on Economics 114941, London School of Economics and Political Science, LSE Library.

  4. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.

    Cited by:

    1. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    2. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    3. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    4. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    6. Chaitanya Kaligotla & Jonathan Ozik & Nicholson Collier & Charles M. Macal & Kelly Boyd & Jennifer Makelarski & Elbert S. Huang & Stacy T. Lindau, 2020. "Model Exploration of an Information-Based Healthcare Intervention Using Parallelization and Active Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-1.
    7. Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022. "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    8. Nelson Vadori & Leo Ardon & Sumitra Ganesh & Thomas Spooner & Selim Amrouni & Jared Vann & Mengda Xu & Zeyu Zheng & Tucker Balch & Manuela Veloso, 2022. "Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations," Papers 2210.07184, arXiv.org, revised Aug 2023.
    9. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    10. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    12. Severin Reissl, 2021. "Heterogeneous expectations, forecasting behaviour and policy experiments in a hybrid Agent-based Stock-flow-consistent model," Journal of Evolutionary Economics, Springer, vol. 31(1), pages 251-299, January.
    13. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    14. Sylvain Barde, 2019. "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics 1908, School of Economics, University of Kent.
    15. Andrei I. Vlad & Alexei A. Romanyukha & Tatiana E. Sannikova, 2024. "Parameter Tuning of Agent-Based Models: Metaheuristic Algorithms," Mathematics, MDPI, vol. 12(14), pages 1-21, July.
    16. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org, revised Nov 2023.
    17. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Florian Kotthoff & Thomas Hamacher, 2022. "Calibrating Agent-Based Models of Innovation Diffusion with Gradients," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(3), pages 1-4.
    19. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2022. "Exploration of the Parameter Space in Macroeconomic Models," Post-Print hal-03797418, HAL.
    20. Zila, Eric & Kukacka, Jiri, 2023. "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 366-391.
    21. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    22. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," LEM Papers Series 2021/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
    24. Barde, Sylvain, 2024. "Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    25. Valdes Salvador & Gonzalo ValdesEdwards, 2023. "Microfoundations of Expected Utility and Response Times," Papers 2302.09421, arXiv.org.
    26. 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.
    27. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    28. Yuanlu Bai & Henry Lam & Svitlana Vyetrenko & Tucker Balch, 2021. "Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization," Papers 2112.03874, arXiv.org, revised Sep 2022.
    29. Chenkai Wang & Junji Ren & Peng Yang, 2024. "Alleviating Non-identifiability: a High-fidelity Calibration Objective for Financial Market Simulation with Multivariate Time Series Data," Papers 2407.16566, arXiv.org, revised Oct 2024.
    30. Andrea Coletta & Joseph Jerome & Rahul Savani & Svitlana Vyetrenko, 2023. "Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness," Papers 2306.12806, arXiv.org.
    31. Aaron Wheeler & Jeffrey D. Varner, 2023. "Scalable Agent-Based Modeling for Complex Financial Market Simulations," Papers 2312.14903, arXiv.org, revised Jan 2024.
    32. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.
    33. Gennaro Catapano & Francesco Franceschi & Valentina Michelangeli & Michele Loberto, 2021. "Macroprudential Policy Analysis via an Agent Based Model of the Real Estate Sector," Temi di discussione (Economic working papers) 1338, Bank of Italy, Economic Research and International Relations Area.
    34. Heinrich, Torsten & Sabuco, Juan & Farmer, J. Doyne, 2019. "A simulation of the insurance industry: The problem of risk model homogeneity," MPRA Paper 95096, University Library of Munich, Germany.
    35. Kukacka, Jiri & Sacht, Stephen, 2023. "Estimation of heuristic switching in behavioral macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    36. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, January.
    37. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    38. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," LEM Papers Series 2022/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    39. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
    40. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    41. Priscilla Avegliano & Jaime Simão Sichman, 2023. "Equation-Based Versus Agent-Based Models: Why Not Embrace Both for an Efficient Parameter Calibration?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(4), pages 1-3.
    42. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    43. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    44. Njiru, Ruth & Appel, Franziska & Dong, Changxing & Balmann, Alfons, 2024. "Application of Deep Learning to Emulate an Agent-Based Model," FORLand Project Publications 340874, University of Natural Resources and Applied Life Sciences, Vienna, Department of Economics and Social Sciences.
    45. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.
    46. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model," Papers 2208.14207, arXiv.org.
    47. Aldo Glielmo & Marco Favorito & Debmallya Chanda & Domenico Delli Gatti, 2023. "Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs," Papers 2302.11835, arXiv.org, revised Dec 2023.
    48. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    49. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    50. Siyan Chen & Saul Desiderio, 2022. "Calibration of Agent-Based Models by Means of Meta-Modeling and Nonparametric Regression," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1457-1478, December.
    51. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    52. Giacomo Ravaioli & Tiago Domingos & Ricardo F. M. Teixeira, 2023. "A Framework for Data-Driven Agent-Based Modelling of Agricultural Land Use," Land, MDPI, vol. 12(4), pages 1-17, March.
    53. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    54. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    55. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    56. Bernardo Alves Furtado & Gustavo Onofre Andre~ao, 2022. "Machine Learning Simulates Agent-Based Model Towards Policy," Papers 2203.02576, arXiv.org, revised Nov 2022.
    57. 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.
    58. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    59. Donovan Platt, 2019. "A Comparison of Economic Agent-Based Model Calibration Methods," Papers 1902.05938, arXiv.org.
    60. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    61. Minh Tran & Thanh Duong & Duc Pham-Hi & Marc Bui, 2020. "Detecting the Proportion of Traders in the Stock Market: An Agent-Based Approach," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    62. Sylvain Barde, 2022. "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics 2203, School of Economics, University of Kent.
    63. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    64. Hector O. Zapata & Supratik Mukhopadhyay, 2022. "A Bibliometric Analysis of Machine Learning Econometrics in Asset Pricing," JRFM, MDPI, vol. 15(11), pages 1-17, November.
    65. Ernesto Carrella & Richard Bailey & Jens Koed Madsen, 2020. "Calibrating Agent-Based Models with Linear Regressions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-7.
    66. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach," Papers 2208.13654, arXiv.org.
    67. Hung-Wen Lin & Jing-Bo Huang & Kun-Ben Lin & Shu-Heng Chen, 2022. "The competitions of time-varying and constant loadings in asset pricing models: empirical evidence and agent-based simulations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 577-612, April.
    68. Thomas J. Lampoltshammer & Heidrun Maurer & Nike Pulda & Peter Klimek & Jan Hurt & Ursula Rosenbichler, 2023. "Challenges toward Evidence-Based Policymaking Using Agent-Based Modeling for Federal Sports Grants: A Self-Reflection from a Transdisciplinary Project," Sustainability, MDPI, vol. 15(4), pages 1-34, February.

  5. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," LEM Papers Series 2016/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Nina Nikolova & Shteryo Nozharov, 2020. "Shadow Economy and Populism – Risk and Uncertainty Factors for Establishing Low-Carbon Economy of Balkan Countries (Case Study for Bulgaria)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 121-144.
    2. 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.
    3. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," Post-Print hal-04103920, HAL.
    4. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    5. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    6. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    8. Darren Nel & Araz Taeihagh, 2024. "The soft underbelly of complexity science adoption in policymaking: towards addressing frequently overlooked non-technical challenges," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(2), pages 403-436, June.
    9. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    10. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Asjad Naqvi & Engelbert Stockhammer, 2017. "Directed technological change in a post-Keynesian ecological macromodel," Working Papers PKWP1714, Post Keynesian Economics Society (PKES).
    12. Emiliano Brancaccio & Raffaele Giammetti & Milena Lopreite & Michelangelo Puliga, 2019. "Monetary Policy, Crisis and Capital Centralization in Corporate Ownership and Control Networks: a B-Var Analysis," LEM Papers Series 2019/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. 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.
    14. D’Orazio, Paola & Popoyan, Lilit, 2019. "Fostering green investments and tackling climate-related financial risks: Which role for macroprudential policies?," Ecological Economics, Elsevier, vol. 160(C), pages 25-37.
    15. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2023. "Warming the MATRIX: a Climate Assessment under Uncertainty and Heterogeneity," FEEM Working Papers 334607, Fondazione Eni Enrico Mattei (FEEM).
    16. Antoine Mandel & Solmaria Halleck Vega & Dan-Xia Wang, 2020. "The contribution of technological diffusion to climate change mitigation: a network-based approach," Post-Print halshs-02334594, HAL.
    17. Malafry, Laurence & Soares Brinca, Pedro, 2020. "Climate Policy in an Unequal World: Assessing the Cost of Risk on Vulnerable Households," MPRA Paper 100201, University Library of Munich, Germany.
    18. Monasterolo, Irene & Roventini, Andrea & Foxon, Tim J., 2019. "Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach," Ecological Economics, Elsevier, vol. 163(C), pages 177-182.
    19. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    21. Solmaria Halleck Vega & Antoine Mandel & Katrin Millock, 2018. "Accelerating diffusion of climate-friendly technologies: A network perspective," Post-Print halshs-01885446, HAL.
    22. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.T., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," Ecological Economics, Elsevier, vol. 197(C).
    23. Teresa Lackner & Luca E. Fierro & Patrick Mellacher, 2024. "Opinion Dynamics meet Agent-based Climate Economics: An Integrated Analysis of Carbon Taxation," Graz Economics Papers 2024-07, University of Graz, Department of Economics.
    24. Li, Jun & Hamdi-Cherif, Meriem & Cassen, Christophe, 2017. "Aligning domestic policies with international coordination in a post-Paris global climate regime: A case for China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 258-274.
    25. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    26. Zhang, Qi & Wu, Xifeng & Chen, Yu, 2022. "Is economic crisis an opportunity for realizing the low-carbon transition? A simulation study on the interaction between economic cycle and energy regulation policy," Energy Policy, Elsevier, vol. 168(C).
    27. Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The green transition: public policy, finance, and the role of the State," Post-Print hal-04114748, HAL.
    28. Etienne Espagne, 2018. "Money, Finance and Climate: The Elusive Quest for a Truly Integrated Assessment Model," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 131-143, March.
    29. Marcin Czupryna & Christian Franzke & Sascha Hokamp & Jürgen Scheffran, 2020. "An Agent-Based Approach to Integrated Assessment Modelling of Climate Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-7.
    30. Katarzyna Szymczyk & Dilek Şahin & Haşim Bağcı & Ceyda Yerdelen Kaygın, 2021. "The Effect of Energy Usage, Economic Growth, and Financial Development on CO 2 Emission Management: An Analysis of OECD Countries with a High Environmental Performance Index," Energies, MDPI, vol. 14(15), pages 1-21, August.
    31. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    32. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," Post-Print hal-03443471, HAL.
    33. Curcio, Domenico & Gianfrancesco, Igor & Vioto, Davide, 2023. "Climate change and financial systemic risk: Evidence from US banks and insurers," Journal of Financial Stability, Elsevier, vol. 66(C).
    34. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    35. Emanuele Ciola & Enrico Turco & Andrea Gurgone & Davide Bazzana & Sergio Vergalli & Francesco Menoncin, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," Working Papers 2022.09, Fondazione Eni Enrico Mattei.
    36. 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).
    37. Kemp-Benedict, Eric, 2018. "Investing in a Green Transition," Ecological Economics, Elsevier, vol. 153(C), pages 218-236.
    38. Enrico Turco & Davide Bazzana & Massimiliano Rizzati & Emanuele Ciola & Sergio Vergalli, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," Working Papers 2022.25, Fondazione Eni Enrico Mattei.
    39. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni, 2019. "The public costs of climate-induced financial instability," Post-Print hal-04096135, HAL.
    40. Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," LEM Papers Series 2022/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Miriam Breitenstein & Carl-Philipp Anke & Duc Khuong Nguyen & Thomas Walther, 2022. "Stranded Asset Risk and Political Uncertainty: The Impact of the Coal Phase-Out on the German Coal Industry," The Energy Journal, , vol. 43(5), pages 27-50, September.
    42. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    43. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    44. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
    45. Bondarev, Anton & Greiner, Alfred, 2020. "Global warming and technical change: Multiple steady-states and policy options," China Economic Review, Elsevier, vol. 62(C).
    46. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    47. Tim Stoffel & Carol Cravero & Annamaria La Chimia & Geo Quinot, 2019. "Multidimensionality of Sustainable Public Procurement (SPP)—Exploring Concepts and Effects in Sub-Saharan Africa and Europe," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    48. Oluyomi A. Osobajo & Afolabi Otitoju & Martha Ajibola Otitoju & Adekunle Oke, 2020. "The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    49. Paola D’Orazio & Marco Valente, 2018. "Do Financial Constraints Hamper Environmental Innovation Diffusion? An Agent-Based Approach," SPRU Working Paper Series 2018-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    50. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    51. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    52. Chenet, Hugues & Ryan-Collins, Josh & van Lerven, Frank, 2021. "Finance, climate-change and radical uncertainty: Towards a precautionary approach to financial policy," Ecological Economics, Elsevier, vol. 183(C).
    53. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
    54. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    55. Severin Reissl & Luca E. Fierro & Francesco Lamperti & Andrea Roventini, 2024. "The DSK-SFC stock-flow consistent agent-based integrated assessment model," LEM Papers Series 2024/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    56. Duraisamy Pachiyappan & Yasmeen Ansari & Md Shabbir Alam & Prabha Thoudam & Kuppusamy Alagirisamy & Palanisamy Manigandan, 2021. "Short and Long-Run Causal Effects of CO 2 Emissions, Energy Use, GDP and Population Growth: Evidence from India Using the ARDL and VECM Approaches," Energies, MDPI, vol. 14(24), pages 1-17, December.
    57. Moya, Diego & Budinis, Sara & Giarola, Sara & Hawkes, Adam, 2020. "Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector," Applied Energy, Elsevier, vol. 274(C).
    58. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    59. 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.
    60. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    61. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    62. Clara I. González & Soledad Núñez, 2019. "Mercados, entidades financieras y bancos centrales ante el cambio climático: retos y oportunidades," Working Papers 2019-06, FEDEA.
    63. Kevin J. Warner & Glenn A. Jones, 2017. "The Climate-Independent Need for Renewable Energy in the 21st Century," Energies, MDPI, vol. 10(8), pages 1-13, August.
    64. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    65. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    66. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    67. Michalis Skourtos & Dimitris Damigos & Areti Kontogianni & Christos Tourkolias & Alistair Hunt, 2019. "Embedding Preference Uncertainty for Environmental Amenities in Climate Change Economic Assessments: A “Random” Step Forward," Economies, MDPI, vol. 7(4), pages 1-22, October.
    68. Dr. Christian Lutz & Dr. Marc Ingo Wolter, 2021. "Wege zur Klimaneutralität bis 2045 – Politische Handlungsfelder," GWS Discussion Paper Series 21-4, GWS - Institute of Economic Structures Research.
    69. Ghosh, Saibal, 2023. "Does climate legislation matter for bank lending? Evidence from MENA countries," Ecological Economics, Elsevier, vol. 212(C).
    70. Rising, James A. & Taylor, Charlotte & Ives, Matthew C. & Ward, Robert E.t., 2022. "Challenges and innovations in the economic evaluation of the risks of climate change," LSE Research Online Documents on Economics 114941, London School of Economics and Political Science, LSE Library.

  6. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," SciencePo Working papers Main halshs-01390694, HAL.
    2. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    3. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    4. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    5. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    7. Mattia Guerini & Alessio Moneta, 2016. "A Method for Agent-Based Models Validation," Working Papers Series 42, Institute for New Economic Thinking.
    8. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 1-7, April.
    9. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    11. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.

  7. Francesco Lamperti & Clara Elisabetta Mattei, 2016. "Going Up and Down: Rethinking the Empirics of Growth in the Developing and Newly Industrialized World," LEM Papers Series 2016/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    2. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    4. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    5. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    6. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  8. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    2. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main hal-03443464, HAL.
    3. Barde, Sylvain, 2016. "Direct comparison of agent-based models of herding in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 329-353.
    4. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    5. Sander Hoog, 2019. "Surrogate Modelling in (and of) Agent-Based Models: A Prospectus," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1245-1263, March.
    6. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    7. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Donovan Platt & Tim Gebbie, 2016. "The Problem of Calibrating an Agent-Based Model of High-Frequency Trading," Papers 1606.01495, arXiv.org, revised Mar 2017.
    9. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Mattia Guerini & Alessio Moneta, 2016. "A Method for Agent-Based Models Validation," Working Papers Series 42, Institute for New Economic Thinking.
    11. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    12. Gennaro Catapano & Francesco Franceschi & Valentina Michelangeli & Michele Loberto, 2021. "Macroprudential Policy Analysis via an Agent Based Model of the Real Estate Sector," Temi di discussione (Economic working papers) 1338, Bank of Italy, Economic Research and International Relations Area.
    13. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 1-7, April.
    14. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.
    15. Sylvain Barde, 2015. "A Practical, Universal, Information Criterion over Nth Order Markov Processes," Studies in Economics 1504, School of Economics, University of Kent.
    16. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Sylvain Barde, 2015. "Direct calibration and comparison of agent-based herding models of financial markets," Studies in Economics 1507, School of Economics, University of Kent.
    18. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    19. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
    20. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    21. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    22. Zhenxi Chen & Thomas Lux, 2018. "Estimation of Sentiment Effects in Financial Markets: A Simulated Method of Moments Approach," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 711-744, October.
    23. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.

  9. Francesco Lamperti & Mauro Napoletano & Andrea Roventini, 2015. "Preventing Environmental Disasters: Market-Based vs. Command-and-Control Policies," LEM Papers Series 2015/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    2. Stanislao Gualdi & Antoine Mandel, 2016. "Endogenous Growth in Production Networks," Documents de travail du Centre d'Economie de la Sorbonne 16054, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Jongmin Yu & Seokjong Ryu, 2018. "Optimal Design of a Politically Feasible Environmental Regulation," Korean Economic Review, Korean Economic Association, vol. 34, pages 75-99.
    4. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    5. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.

  10. Francesco Lamperti & Mauro Napoletano & Andrea Roventini, 2015. "Preventing environmental disasters : Market based vs command and control policies," SciencePo Working papers Main hal-03459560, HAL.

    Cited by:

    1. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    2. Stanislao Gualdi & Antoine Mandel, 2016. "Endogenous Growth in Production Networks," Documents de travail du Centre d'Economie de la Sorbonne 16054, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Jongmin Yu & Seokjong Ryu, 2018. "Optimal Design of a Politically Feasible Environmental Regulation," Korean Economic Review, Korean Economic Association, vol. 34, pages 75-99.
    4. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    5. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.

Articles

  1. Francesco Lamperti & Roberto Mavilia & Simona Castellini, 2017. "The role of Science Parks: a puzzle of growth, innovation and R&D investments," The Journal of Technology Transfer, Springer, vol. 42(1), pages 158-183, February.

    Cited by:

    1. Tóth, Csilla & Fehérvölgyi, Beáta & Háry, András & Kovács, Zoltán, 2024. "Az innovációs ökoszisztémák ágazati sajátosságai és osztályozásának lehetőségei [Sectoral features of innovation ecosystems and an opportunity for classification]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 957-987.
    2. Caloffi, Annalisa & Colovic, Ana & Rizzoli, Valentina & Rossi, Federica, 2023. "Innovation intermediaries' types and functions: A computational analysis of the literature," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Alberto Albahari & Andrés Barge-Gil & Salvador Pérez-Canto & Paolo Landoni, 2023. "The effect of science and technology parks on tenant firms: a literature review," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1489-1531, August.
    4. David Urbano & Andreu Turro & Sebastian Aparicio, 2020. "Innovation through R&D activities in the European context: antecedents and consequences," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1481-1504, October.
    5. Z. Jun Lin & Shengqiang Liu & Fangcheng Sun, 2017. "The Impact of Financing Constraints and Agency Costs on Corporate R&D Investment: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 3-42, March.
    6. Riccardo Zecchinelli & Federica Rossi & Ana Colovic & Simona Ciappei & Andrea Bonomi Savignon, 2024. "Emerging business models for digital innovation intermediaries: evidence from the Digital Innovation Hubs Initiative," Working Papers 70, Birkbeck Centre for Innovation Management Research, revised Oct 2024.
    7. Madaleno, Margarida & Nathan, Max & Overman, Henry G. & Waights, Sevrin, 2022. "Incubators, accelerators and urban economic development," LSE Research Online Documents on Economics 108550, London School of Economics and Political Science, LSE Library.
    8. Laura Lecluyse & Mirjam Knockaert & André Spithoven, 2019. "The contribution of science parks: a literature review and future research agenda," The Journal of Technology Transfer, Springer, vol. 44(2), pages 559-595, April.
    9. Carles Méndez-Ortega & Mercedes Teruel, 2020. "To acquire or not to acquire: the effects of acquisitions in the software industry," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 793-814, July.
    10. Hobbs, Kelsi & Link, Albert & Scott, John, 2017. "Science and Technology Parks: An Annotated and Analytical Literature Review," UNCG Economics Working Papers 17-5, University of North Carolina at Greensboro, Department of Economics.
    11. Vidit Mohan & Rohan Chinchwadkar, 2022. "Technology Business Incubation: A Literature Review and Gaps," International Journal of Global Business and Competitiveness, Springer, vol. 17(1), pages 53-63, June.
    12. Ng, Wei Keat Benny & Appel-Meulenbroek, Rianne & Cloodt, Myriam & Arentze, Theo, 2019. "Towards a segmentation of science parks: A typology study on science parks in Europe," Research Policy, Elsevier, vol. 48(3), pages 719-732.
    13. Sang-Do Park, 2018. "The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    14. Weiwei Yang & Jiaru Kang & Zhiyuan Ge, 2022. "The Impact of the Upgrading of High-tech Zones on the Total Factor Productivity of Enterprises: Evidence from Guasi-natural Experiments," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(1), pages 1-7.
    15. Natalya Radko & Maksim Belitski & Yelena Kalyuzhnova, 2023. "Conceptualising the entrepreneurial university: the stakeholder approach," The Journal of Technology Transfer, Springer, vol. 48(3), pages 955-1044, June.
    16. Fernando Almeida, 2021. "Systematic Review On Academic Entrepreneurship Indicators," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 9(2), pages 7-22.
    17. M. Ferrara & F. Lamperti & R. Mavilia, 2016. "Looking for best performers: a pilot study towards the evaluation of science parks," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 717-750, February.
    18. Minming Wei & Baiyu Dong & Pingbin Jin, 2023. "Do Science Parks Promote Companies’ Innovative Performance? Micro Evidence from Shanghai Zhangjiang National Innovation Independent Demonstration Zone," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    19. Júlio Paulo Silva Martins & María Jesús Rodríguez-Gulías & David Rodeiro-Pazos & Raul Rios-Rodríguez, 2024. "Does the Location in Science and Technology Parks Foster the Employment Growth of Firms?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 9538-9555, June.
    20. Kholekile L. Gwebu & Jeffrey Sohl & Jing Wang, 2019. "Differential performance of science park firms: an integrative model," Small Business Economics, Springer, vol. 52(1), pages 193-211, January.
    21. Corrocher, Nicoletta & Lamperti, Francesco & Mavilia, Roberto, 2019. "Do science parks sustain or trigger innovation? Empirical evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 140-151.
    22. Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado & Juan-José Nájera-Sánchez, 2018. "Mapping the conceptual structure of science and technology parks," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1410-1435, October.
    23. T. Theeranattapong & D. Pickernell & C. Simms, 2021. "Systematic literature review paper: the regional innovation system-university-science park nexus," The Journal of Technology Transfer, Springer, vol. 46(6), pages 2017-2050, December.
    24. Xie, Kefan & Song, Yu & Zhang, Weiyong & Hao, Jiahui & Liu, Zimei & Chen, Yun, 2018. "Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 156-168.
    25. Erik E. Lehmann & Nikolaus Seitz & Katharine Wirsching, 2017. "Smart finance for smart places to foster new venture creation," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(1), pages 51-75, March.
    26. Klofsten, Magnus & Lundmark, Erik & Wennberg, Karl & Bank, Megan, 2019. "Incubator specialization and size: divergent paths towards operational scale," Ratio Working Papers 326, The Ratio Institute.
    27. Ng, Wei Keat Benny & Appel-Meulenbroek, Rianne & Cloodt, Myriam & Arentze, Theo, 2022. "Exploring science park location choice: A stated choice experiment among Dutch technology-based firms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    28. Ng, Wei Keat Benny & Appel-Meulenbroek, Rianne & Cloodt, Myriam & Arentze, Theo, 2021. "Perceptual measures of science parks: Tenant firms’ associations between science park attributes and benefits," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    29. Diana Baidoc & Laura Bacali, 2017. "Impact of innovation on sustainable development of organizations," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 14(2), pages 5-18, December.

  2. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    See citations under working paper version above.
  3. M. Ferrara & F. Lamperti & R. Mavilia, 2016. "Looking for best performers: a pilot study towards the evaluation of science parks," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 717-750, February.

    Cited by:

    1. Alberto Albahari & Andrés Barge-Gil & Salvador Pérez-Canto & Paolo Landoni, 2023. "The effect of science and technology parks on tenant firms: a literature review," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1489-1531, August.
    2. Wei Keat Benny Ng & Robin Junker & Rianne Appel-Meulenbroek & Myriam Cloodt & Theo Arentze, 2020. "Perceived benefits of science park attributes among park tenants in the Netherlands," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1196-1227, August.
    3. Miriam Delgado-Verde & Isabel Díez-Vial, 2024. "New product development and supplier involvement: the role of R&D collaboration with supporting organisations," The Journal of Technology Transfer, Springer, vol. 49(2), pages 518-541, April.
    4. Laura Lecluyse & Mirjam Knockaert & André Spithoven, 2019. "The contribution of science parks: a literature review and future research agenda," The Journal of Technology Transfer, Springer, vol. 44(2), pages 559-595, April.
    5. Mahdi Yami & Gao Changchun & Gao Han, 2018. "The Science and Technology Parks (STPs) Evaluation Model Approach to Eco-Innovation Key Indicator," International Business Research, Canadian Center of Science and Education, vol. 11(11), pages 187-200, November.
    6. Corrocher, Nicoletta & Lamperti, Francesco & Mavilia, Roberto, 2019. "Do science parks sustain or trigger innovation? Empirical evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 140-151.
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