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Eric Guerci

Personal Details

First Name:Eric
Middle Name:
Last Name:Guerci
Suffix:
RePEc Short-ID:pgu452

Affiliation

Groupe de REcherche en Droit, Économie, Gestion (GREDEG)
École Universitaire de Recherche d'Économie et de Management (ELMI)
Université Côte d'Azur

Nice, France
https://gredeg.univ-cotedazur.fr/
RePEc:edi:credcfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Anna Bottasso & Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles Noussair, 2022. "Higher order risk attitudes of financial experts," Post-Print hal-03664148, HAL.
  2. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2021. "The Triple-Store Experiment: A First Simultaneous Test of Classical and Quantum Probabilities in Choice over Menus," GREDEG Working Papers 2021-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  3. Sara Bevilacqua & Célia da Costa Pereira & Eric Guerci & Frédéric Precioso & Claudio Sartori, 2019. "Analysing the Impact of Rationality on the Italian Electricity Market," Post-Print halshs-02348101, HAL.
  4. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2019. "A dual-process memory account of how to make an evaluation from complex and complete information," Post-Print hal-02346005, HAL.
  5. Eric Guerci & Nobuyuki Hanaki & Mauro Napoletano, 2019. "Introduction to special issue on “Complex evolving system approach to market dynamics and policy design”," Post-Print hal-02299231, HAL.
  6. Imen Bouhlel & Michela Chessa & Agnès Festré & Eric Guerci, 2019. "When to Stop? A Theoretical and Experimental Investigation of an Individual Search Task," GREDEG Working Papers 2019-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  7. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
  8. Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles N. Noussair, 2018. "The effect of short selling and borrowing on market prices and traders’ behavior," CEE-M Working Papers hal-01954924, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
  9. Gabriele Cardullo & Eric Guerci, 2018. "Interpreting the Beveridge curve: an agent-based approach," Post-Print halshs-01929041, HAL.
  10. Sébastien Duchêne & Eric Guerci, 2018. "Financial market professionals’ higher order risk attitudes," Post-Print halshs-02103554, HAL.
  11. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2016. "A Dual Process in Memory: How to Make an Evaluation from Complex and Complete Information? An Experimental Study," GREDEG Working Papers 2016-23, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Jan 2018.
  12. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  13. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Testing Quantum-like Models of Judgment for Question Order Effects," GREDEG Working Papers 2015-06, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  14. Sébastien Duchêne & Thomas Boyer-Kassem & Eric Guerci, 2015. "Une nouvelle approche expérimentale pour tester les modèles quantiques de l'erreur de conjonction," GREDEG Working Papers 2015-27, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Oct 2015.
  15. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Quantum-like Models Cannot Account for the Conjunction Fallacy," GREDEG Working Papers 2015-41, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  16. Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.
  17. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Post-Print halshs-01061445, HAL.
  18. Eric Guerci & Fulvio Fontini, 2013. "The impact of the introduction of nuclear power on electricity prices in a power exchange-based liberalised market," Post-Print halshs-00925259, HAL.
  19. Eric Guerci & Alan Kirman & Sonia Moulet, 2013. "An agent-based model for sequential Dutch auctions," Post-Print halshs-00871095, HAL.
  20. Eric Guerci & Alessandro Sapio, 2012. "High wind penetration in an agent-based model of the electricity market," Post-Print halshs-00871036, HAL.
  21. Eric Guerci & Nobuyuki Hanaki, 2012. "Learning Agent and agent-based modeling," Post-Print halshs-00871060, HAL.
  22. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Post-Print halshs-00871081, HAL.
  23. Eric Guerci & Fulvio Fontini, 2012. "The Italian Electricity Prices in Year 2025: an Agent-Based Simulation," "Marco Fanno" Working Papers 0130, Dipartimento di Scienze Economiche "Marco Fanno".
  24. Eric Guerci & Sylvie Thoron, 2011. "Experimental comparison of compulsory and non compulsory arbitration mechanisms," Working Papers halshs-00584328, HAL.
  25. Eric Guerci & Alessandro Sapio, 2011. "Comparison and empirical validaton of optimizing and agent-based models of the Italian electricity market," Post-Print halshs-00871126, HAL.
  26. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2011. "A Note on a Weighted Voting Experiment: Human Mistakes in Cooperative Games," Working Papers halshs-00645867, HAL.
  27. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2010. "Agent-based modeling and simulation of competitive wholesale electricity markets," Post-Print halshs-00871063, HAL.
  28. Gabriele Esposito & Eric Guerci & Nobuyuki Hanaki & Xiaoyan Lu & Naoki Watanabe, 2010. "An experimental study on learning about voting powers," Tsukuba Economics Working Papers 2010-005, Faculty of Humanities and Social Sciences, University of Tsukuba.
  29. Eric Guerci & Mohammed Ali Rastegar, 2009. "The role of information in multi-agent learning," Working Papers halshs-00449536, HAL.
  30. Mohammad Ali Rastegar & Eric Guerci & Silvano Cincotti, 2009. "Agent-based model of the Italian wholesale electricity market," Post-Print halshs-00871127, HAL.
  31. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2009. "Operator's bidding strategies in the liberalized Italian power market," Post-Print halshs-00871077, HAL.
  32. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti & Federico Delfino & Renato Procopio & Marco Ruga, 2008. "Supply-side gaming on electricity markets with physical constrained transmission network," Post-Print halshs-00871130, HAL.
  33. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Post-Print halshs-00871014, HAL.
  34. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2007. "Learning Oligopolistic Competition In Electricty Auctions," Post-Print halshs-00871017, HAL.
  35. Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.
  36. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2006. "Duopolistic competition in an electricity markets with heterogeneous cost functions," Computing in Economics and Finance 2006 412, Society for Computational Economics.
  37. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.
  38. Eric Guerci & Stefano Ivaldi & Stefano Pastore & Silvano Cincotti, 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Post-Print halshs-00871023, HAL.

    repec:lam:wpceem:18-18 is not listed on IDEAS
    repec:lam:wpceem:18-25 is not listed on IDEAS

Articles

  1. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2022. "The triple-store experiment: a first simultaneous test of classical and quantum probabilities in choice over menus," Theory and Decision, Springer, vol. 92(2), pages 387-406, March.
  2. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
  3. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Ariane Lambert-Mogiliansky & Fabien Mathy, 2019. "A Dual-Process Memory Account of How to Make an Evaluation from Complex and Complete Information," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1079-1093.
  4. Cardullo, Gabriele & Guerci, Eric, 2019. "Interpreting the Beveridge curve. An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 84-100.
  5. 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.
  6. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017. "Meaningful learning in weighted voting games: an experiment," Theory and Decision, Springer, vol. 83(1), pages 131-153, June.
  7. Sébastien Duchêne & Thomas Boyer-Kassem & Eric Guerci, 2017. "Une nouvelle approche expérimentale pour tester les modèles quantiques de l’erreur de conjonction," Revue économique, Presses de Sciences-Po, vol. 68(5), pages 757-771.
  8. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
  9. Boyer-Kassem, Thomas & Duchêne, Sébastien & Guerci, Eric, 2016. "Testing quantum-like models of judgment for question order effect," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 33-46.
  10. Guerci, E. & Kirman, A. & Moulet, S., 2014. "Learning to bid in sequential Dutch auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 374-393.
  11. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
  12. Eric Guerci & Alessandro Sapio, 2012. "High wind Penetration in an Agent-Based Model of the Electricity Market. The Case of Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 415-447.
  13. Eric Guerci & Alessandro Sapio, 2012. "Reply to Comments," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 88-90.
  14. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.
  15. Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006. "Growth and allocation of resources in economics: The agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 86-90.
  16. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.

Chapters

  1. Eric Guerci & Mohammad Ali Rastegar, 2012. "Comparing system-marginal-price versus pay-as-bid auctions in a realistic electricity market scenario," Lecture Notes in Economics and Mathematical Systems, in: Andrea Teglio & Simone Alfarano & Eva Camacho-Cuena & Miguel Ginés-Vilar (ed.), Managing Market Complexity, edition 127, chapter 0, pages 141-153, Springer.
  2. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2009. "Operator’s Bidding Strategies in the Liberalized Italian Power Market," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 53-66, Springer.

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. Sébastien Duchêne & Eric Guerci & Nobuyuki Hanaki & Charles N. Noussair, 2018. "The effect of short selling and borrowing on market prices and traders’ behavior," CEE-M Working Papers hal-01954924, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.

    Cited by:

    1. Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2020. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Working Papers 20-27, Chapman University, Economic Science Institute.

  2. Gabriele Cardullo & Eric Guerci, 2018. "Interpreting the Beveridge curve: an agent-based approach," Post-Print halshs-01929041, HAL.

    Cited by:

    1. Eric Guerci & Nobuyuki Hanaki & Mauro Napoletano, 2019. "Introduction to special issue on “Complex evolving system approach to market dynamics and policy design”," Post-Print hal-02299231, HAL.

  3. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
    3. Nicola Maaser & Fabian Paetzel & Stefan Traub, 2022. "Gender and Nominal Power in Multilateral Bargaining," Games, MDPI, vol. 13(1), pages 1-25, January.
    4. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
    5. Matthias Weber, 2014. "Choosing Voting Systems behind the Veil of Ignorance: A Two-Tier Voting Experiment," Tinbergen Institute Discussion Papers 14-042/I, Tinbergen Institute.

  4. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Testing Quantum-like Models of Judgment for Question Order Effects," GREDEG Working Papers 2015-06, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
    2. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2022. "The triple-store experiment: a first simultaneous test of classical and quantum probabilities in choice over menus," Post-Print hal-03227276, HAL.

  5. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2015. "Quantum-like Models Cannot Account for the Conjunction Fallacy," GREDEG Working Papers 2015-41, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    Cited by:

    1. Ismaël Rafaï & Sébastien Duchêne & Eric Guerci & Irina Basieva & Andrei Khrennikov, 2022. "The triple-store experiment: a first simultaneous test of classical and quantum probabilities in choice over menus," Post-Print hal-03227276, HAL.
    2. Basieva, Irina & Khrennikova, Polina & Pothos, Emmanuel M. & Asano, Masanari & Khrennikov, Andrei, 2018. "Quantum-like model of subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 150-162.

  6. Eric Guerci & Alan Kirman & Sonia Moulet, 2014. "Learning to bid in sequential Dutch Auctions," Post-Print halshs-01069634, HAL.

    Cited by:

    1. Fuqiang Lu & Yanli Hu & Hualing Bi & Min Huang & Meng Zhao, 2018. "An Auction Approach for Cost and Schedule Management of IT Outsourcing Project," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(05), pages 1-23, October.
    2. Paul Pezanis-Christou & Hang Wu, 2018. "A non-game-theoretic approach to bidding in first-price and all-pay auctions," School of Economics Working Papers 2018-12, University of Adelaide, School of Economics.
    3. Li, Zhen & Yue, Jinfeng & Kuo, Ching-Chung, 2018. "Design of discrete Dutch auctions with consideration of time," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1159-1171.

  7. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Post-Print halshs-01061445, HAL.

    Cited by:

    1. Michela Chessa & Nobuyuki Hanaki & Aymeric Lardon & Takashi Yamada, 2022. "An experiment on the Nash program: Comparing two strategic mechanisms implementing the Shapley value," ISER Discussion Paper 1175, Institute of Social and Economic Research, Osaka University.
    2. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," GREDEG Working Papers 2015-40, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Nicola Maaser & Fabian Paetzel & Stefan Traub, 2022. "Gender and Nominal Power in Multilateral Bargaining," Games, MDPI, vol. 13(1), pages 1-25, January.
    4. Yoshio Kamijo & Yoichi Hizen & Tatsuyoshi Saijo & Teruyuki Tamura, 2019. "Voting on Behalf of a Future Generation: A Laboratory Experiment," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    5. Naoki Watanabe, 2022. "Reconsidering Meaningful Learning in a Bandit Experiment on Weighted Voting: Subjects’ Search Behavior," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 81-107, April.
    6. Michela Chessa & Nobuyuki Hanaki & Aymeric Lardon & Takashi Yamada, 2021. "An Experiment on the Nash Program: Comparing two Mechanisms Implementing the Shapley Value," GREDEG Working Papers 2021-07, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

  8. Eric Guerci & Fulvio Fontini, 2013. "The impact of the introduction of nuclear power on electricity prices in a power exchange-based liberalised market," Post-Print halshs-00925259, HAL.

    Cited by:

    1. Vincenzo Bianco, 2018. "The Future of the Italian Electricity Generation Sector. An Analysis of the Possible Strategic Models," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(3), pages 20-28.

  9. Eric Guerci & Alessandro Sapio, 2012. "High wind penetration in an agent-based model of the electricity market," Post-Print halshs-00871036, HAL.

    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    2. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    3. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    4. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    5. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    6. Sapio, Alessandro, 2015. "The effects of renewables in space and time: A regime switching model of the Italian power price," Energy Policy, Elsevier, vol. 85(C), pages 487-499.
    7. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    8. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    9. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction. Improving the Toolbox," Post-Print hal-01053562, HAL.
    10. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  10. Eric Guerci & Alessandro Sapio, 2011. "Comparison and empirical validaton of optimizing and agent-based models of the Italian electricity market," Post-Print halshs-00871126, HAL.

    Cited by:

    1. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    2. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Sciences Po publications info:hdl:2441/53r60a8s3ku, Sciences Po.
    3. Miguel Pérez de Arce and Enzo Sauma, 2016. "Comparison of Incentive Policies for Renewable Energy in an Oligopolistic Market with Price-Responsive Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

  11. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2011. "A Note on a Weighted Voting Experiment: Human Mistakes in Cooperative Games," Working Papers halshs-00645867, HAL.

    Cited by:

    1. Matthias Weber, 2014. "Choosing Voting Systems behind the Veil of Ignorance: A Two-Tier Voting Experiment," Tinbergen Institute Discussion Papers 14-042/I, Tinbergen Institute.

  12. Eric Guerci & Mohammad Ali Rastegar & Silvano Cincotti, 2010. "Agent-based modeling and simulation of competitive wholesale electricity markets," Post-Print halshs-00871063, HAL.

    Cited by:

    1. Kraan, O. & Kramer, G.J. & Nikolic, I., 2018. "Investment in the future electricity system - An agent-based modelling approach," Energy, Elsevier, vol. 151(C), pages 569-580.
    2. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    3. Kraan, Oscar & Kramer, Gert Jan & Nikolic, Igor & Chappin, Emile & Koning, Vinzenz, 2019. "Why fully liberalised electricity markets will fail to meet deep decarbonisation targets even with strong carbon pricing," Energy Policy, Elsevier, vol. 131(C), pages 99-110.
    4. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    5. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
    6. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    7. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    8. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Sciences Po publications info:hdl:2441/53r60a8s3ku, Sciences Po.
    9. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    10. Zimmermann, Florian & Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2019. "Cross-border effects of capacity remuneration mechanisms: The Swiss case," Working Paper Series in Production and Energy 35, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    11. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    12. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    13. Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
    14. Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2021. "Advanced price forecasting in agent-based electricity market simulation," Applied Energy, Elsevier, vol. 290(C).
    15. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    16. Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
    17. G P Girish & Aviral Kumar Tiwari, 2016. "A comparison of different univariate forecasting models forSpot Electricity Price in India," Economics Bulletin, AccessEcon, vol. 36(2), pages 1039-1057.
    18. Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2017. "An analysis of the decline of electricity spot prices in Europe: Who is to blame?," Energy Policy, Elsevier, vol. 107(C), pages 323-336.
    19. Browne, Oliver & Poletti, Stephen & Young, David, 2015. "How does market power affect the impact of large scale wind investment in 'energy only' wholesale electricity markets?," Energy Policy, Elsevier, vol. 87(C), pages 17-27.
    20. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.

  13. Mohammad Ali Rastegar & Eric Guerci & Silvano Cincotti, 2009. "Agent-based model of the Italian wholesale electricity market," Post-Print halshs-00871127, HAL.

    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Agent-based models and economic policy," Sciences Po publications info:hdl:2441/53r60a8s3ku, Sciences Po.
    2. Mureddu, Mario & Meyer-Ortmanns, Hildegard, 2018. "Extreme prices in electricity balancing markets from an approach of statistical physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1324-1334.
    3. Young, David & Poletti, Stephen & Browne, Oliver, 2014. "Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market," Energy Economics, Elsevier, vol. 45(C), pages 419-434.
    4. Mario Mureddu & Guido Caldarelli & Alessandro Chessa & Antonio Scala & Alfonso Damiano, 2015. "Green Power Grids: How Energy from Renewable Sources Affects Networks and Markets," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.
    5. Mario Mureddu & Hildegard Meyer-Ortmanns, 2016. "Extreme prices in electricity balancing markets from an approach of statistical physics," Papers 1612.05525, arXiv.org.
    6. Andrea Cervone & Ezio Santini & Sabrina Teodori & Donatella Zaccagnini Romito, 2014. "Electricity Price Forecast: a Comparison of Different Models to Evaluate the Single National Price in the Italian Energy Exchange Market," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 744-758.

  14. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Post-Print halshs-00871014, HAL.

    Cited by:

    1. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    2. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    3. Shittu, Ekundayo & Kamdem, Bruno G. & Weigelt, Carmen, 2019. "Heterogeneities in energy technological learning: Evidence from the U.S. electricity industry," Energy Policy, Elsevier, vol. 132(C), pages 1034-1049.
    4. Brorsen B. Wade & Fain James R. & Maples Joshua G., 2018. "Alternative Policy Responses to Increased Use of Formula Pricing," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 16(1), pages 1-11, January.
    5. Christopher Boyer & B. Brorsen, 2014. "Implications of a Reserve Price in an Agent-Based Common-Value Auction," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 33-51, January.

  15. Eric Guerci & Stefano Ivaldi & Marco Raberto & Silvano Cincotti, 2007. "Learning Oligopolistic Competition In Electricty Auctions," Post-Print halshs-00871017, HAL.

    Cited by:

    1. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September.

  16. Enrico Scalas & Mauro Gallegati & Eric Guerci & David Mas & Alessandra Tedeschi, 2006. "Growth and Allocation of Resources in Economics: The Agent-Based Approach," Papers physics/0608221, arXiv.org.

    Cited by:

    1. Erlingsson, Einar Jón & Alfarano, Simone & Raberto, Marco & Stefánsson, Hlynur, 2012. "On the distributional properties of size, pro fit and growth of Icelandic firms," MPRA Paper 35857, University Library of Munich, Germany.
    2. Carmen Pellicer-Lostao & Ricardo Lopez-Ruiz, 2011. "Application of Chaotic Number Generators in Econophysics," Papers 1110.4506, arXiv.org, revised Oct 2011.
    3. Angle, John, 2011. "The particle system model of income and wealth more likely to imply an analogue of thermodynamics in social science," MPRA Paper 28864, University Library of Munich, Germany.
    4. Pavel Exner & Petr v{S}eba, 2007. "A Markov process associated with plot-size distribution in Czech Land Registry and its number-theoretic properties," Papers 0711.1836, arXiv.org, revised Dec 2007.

  17. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.

    Cited by:

    1. Davies, G.J. & Kendall, G. & Soane, E. & Li, J. & Rocks, S.A. & Jude, S.R. & Pollard, S.J.T., 2014. "Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk," LSE Research Online Documents on Economics 51229, London School of Economics and Political Science, LSE Library.
    2. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.

  18. Eric Guerci & Stefano Ivaldi & Stefano Pastore & Silvano Cincotti, 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Post-Print halshs-00871023, HAL.

    Cited by:

    1. Silvano Cincotti & Eric Guerci, 2005. "Agent-based simulation of power exchange with heterogeneous production companies," Computing in Economics and Finance 2005 334, Society for Computational Economics.
    2. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    3. Sandro Sapio, 2006. "An Empirically Based Model of the Supply Schedule in Day-Ahead Electricity Markets," LEM Papers Series 2006/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Liu, Beibei & He, Pan & Zhang, Bing & Bi, Jun, 2012. "Impacts of alternative allowance allocation methods under a cap-and-trade program in power sector," Energy Policy, Elsevier, vol. 47(C), pages 405-415.
    5. Sarıca, Kemal & Kumbaroğlu, Gürkan & Or, Ilhan, 2012. "Modeling and analysis of a decentralized electricity market: An integrated simulation/optimization approach," Energy, Elsevier, vol. 44(1), pages 830-852.
    6. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.
    7. Yong Liu & Fei Li & Yunpeng Su, 2019. "Critical Factors Influencing the Evolution of Companies’ Environmental Behavior: An Agent-Based Computational Economic Approach," SAGE Open, , vol. 9(1), pages 21582440198, February.

Articles

  1. Duchêne, Sébastien & Guerci, Eric & Hanaki, Nobuyuki & Noussair, Charles N., 2019. "The effect of short selling and borrowing on market prices and traders’ behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    See citations under working paper version above.
  2. Cardullo, Gabriele & Guerci, Eric, 2019. "Interpreting the Beveridge curve. An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 84-100.
    See citations under working paper version above.
  3. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2017. "Meaningful learning in weighted voting games: an experiment," Theory and Decision, Springer, vol. 83(1), pages 131-153, June.
    See citations under working paper version above.
  4. Thomas Boyer-Kassem & Sébastien Duchêne & Eric Guerci, 2016. "Quantum-like models cannot account for the conjunction fallacy," Theory and Decision, Springer, vol. 81(4), pages 479-510, November.
    See citations under working paper version above.
  5. Boyer-Kassem, Thomas & Duchêne, Sébastien & Guerci, Eric, 2016. "Testing quantum-like models of judgment for question order effect," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 33-46.
    See citations under working paper version above.
  6. Guerci, E. & Kirman, A. & Moulet, S., 2014. "Learning to bid in sequential Dutch auctions," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 374-393.
    See citations under working paper version above.
  7. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe & Gabriele Esposito & Xiaoyan Lu, 2014. "A methodological note on a weighted voting experiment," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(4), pages 827-850, December.
    See citations under working paper version above.
  8. Eric Guerci & Alessandro Sapio, 2012. "High wind Penetration in an Agent-Based Model of the Electricity Market. The Case of Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 415-447.

    Cited by:

    1. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox. New advances in Agent-based and Computational Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 7-13.
    2. T. Balint & F. Lamperti, 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Post-Print halshs-01906003, HAL.
    3. Sirin, Selahattin Murat & Yilmaz, Berna N., 2020. "Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect," Energy Policy, Elsevier, vol. 144(C).
    4. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    5. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    6. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction. Improving the Toolbox," Post-Print hal-01053562, HAL.
    7. Sapio, Alessandro & Spagnolo, Nicola, 2016. "Price regimes in an energy island: Tacit collusion vs. cost and network explanations," Energy Economics, Elsevier, vol. 55(C), pages 157-172.

  9. Eric Guerci & Stefano Ivaldi & Silvano Cincotti, 2008. "Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 73-98, September. See citations under working paper version above.
  10. Scalas, Enrico & Gallegati, Mauro & Guerci, Eric & Mas, David & Tedeschi, Alessandra, 2006. "Growth and allocation of resources in economics: The agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 86-90.
    See citations under working paper version above.
  11. Guerci, E. & Ivaldi, S. & Pastore, S. & Cincotti, S., 2005. "Modeling and implementation of an artificial electricity market using agent-based technology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 69-76.
    See citations under working paper version above.

Chapters

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 22 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (17) 2010-06-11 2011-12-13 2015-01-26 2015-10-25 2015-10-25 2016-08-07 2017-10-01 2018-01-29 2018-10-22 2018-11-26 2019-01-21 2019-01-28 2019-04-01 2019-04-01 2019-12-09 2021-01-25 2021-04-12. Author is listed
  2. NEP-POL: Positive Political Economics (6) 2010-06-11 2010-07-24 2011-12-13 2015-01-26 2015-10-25 2018-01-29. Author is listed
  3. NEP-CBE: Cognitive & Behavioural Economics (5) 2016-08-07 2018-11-26 2019-01-28 2019-04-01 2021-01-25. Author is listed
  4. NEP-CDM: Collective Decision-Making (5) 2010-06-11 2011-12-13 2015-01-26 2015-10-25 2018-01-29. Author is listed
  5. NEP-GTH: Game Theory (4) 2010-06-11 2011-12-13 2015-10-25 2018-01-29
  6. NEP-NEU: Neuroeconomics (4) 2016-08-07 2018-11-26 2019-01-28 2019-04-01
  7. NEP-CMP: Computational Economics (2) 2005-11-19 2011-04-02
  8. NEP-ENE: Energy Economics (2) 2005-11-19 2011-04-02
  9. NEP-HME: Heterodox Microeconomics (2) 2020-01-27 2021-04-12
  10. NEP-COM: Industrial Competition (1) 2005-11-19
  11. NEP-CSE: Economics of Strategic Management (1) 2016-08-07
  12. NEP-DCM: Discrete Choice Models (1) 2021-04-12
  13. NEP-ECM: Econometrics (1) 2015-02-05
  14. NEP-EUR: Microeconomic European Issues (1) 2011-04-02
  15. NEP-FMK: Financial Markets (1) 2018-10-22

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