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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)
Institut Supérieur d'Économie et Management (ISEM)
Université de Nice-Sophia Antipolis

Nice, France
http://unice.fr/laboratoires/gredeg

+33-493-954-172
+33-493-653-798
250, rue Albert Einstein, 06560 Valbonne
RePEc:edi:credcfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  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.
  2. 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.
  3. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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".
  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.
  12. Eric Guerci & Sylvie Thoron, 2011. "Experimental comparison of compulsory and non compulsory arbitration mechanisms," Working Papers halshs-00584328, HAL.
  13. 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, Economics, Graduate School of Humanities and Social Sciences, University of Tsukuba.
  14. Eric Guerci & Mohammed Ali Rastegar, 2009. "The role of information in multi-agent learning," Working Papers halshs-00449536, HAL.
  15. 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.
  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.
  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.
    repec:lam:wpceem:18-18 is not listed on IDEAS
    repec:lam:wpceem:18-25 is not listed on IDEAS

Articles

  1. 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.
  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. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Eric Guerci & Alessandro Sapio, 2012. "Reply to Comments," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 88-90.
  12. 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.
  13. 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.
  14. 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.

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. 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. 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.

  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," Post-Print halshs-01061445, HAL.
    3. 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, 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.

  5. 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.

  6. 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. Einar Erlingsson & Simone Alfarano & Marco Raberto & Hlynur Stefánsson, 2013. "On the distributional properties of size, profit and growth of Icelandic firms," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 57-74, April.
    2. 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.
    3. 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.
    4. Carmen Pellicer-Lostao & Ricardo Lopez-Ruiz, 2011. "Application of Chaotic Number Generators in Econophysics," Papers 1110.4506, arXiv.org, revised Oct 2011.

  7. 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.

Articles

  1. 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.

    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.

  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.
    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.

    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. 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.
    3. 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.

  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.

    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. Yoshio Kamijo & Yoichi Hizen & Tatsuyoshi Saijo & Teruyuki Tamura, 2018. "Voting on behalf of a future generation: A laboratory experiment," Working Papers SDES-2018-2, Kochi University of Technology, School of Economics and Management, revised Jun 2018.

  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. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    2. Jean-Luc Gaffard & Mauro Napoletano, 2012. "Introduction. Improving the Toolbox," Post-Print hal-01053562, HAL.
    3. T. BALINT & F. LAMPERTI & A. Mandel & A. Roventini Author-Workplace-Name : OFCE-Sciences Pp and SKEMA Businees School & A. Sapio Author-Workplace-Name : Parathenope Universtiy of Naples, 2016. "Complexity and the Economics of Climate Change : a survey and look forward," Documents de Travail de l'OFCE 2016-23, Observatoire Francais des Conjonctures Economiques (OFCE).
    4. 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.

  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.

    Cited by:

    1. T. BALINT & F. LAMPERTI & A. Mandel & A. Roventini Author-Workplace-Name : OFCE-Sciences Pp and SKEMA Businees School & A. Sapio Author-Workplace-Name : Parathenope Universtiy of Naples, 2016. "Complexity and the Economics of Climate Change : a survey and look forward," Documents de Travail de l'OFCE 2016-23, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. 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.
    3. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    4. 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.

  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.

    Cited by:

    1. 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.
    2. 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.
    3. T. BALINT & F. LAMPERTI & A. Mandel & A. Roventini Author-Workplace-Name : OFCE-Sciences Pp and SKEMA Businees School & A. Sapio Author-Workplace-Name : Parathenope Universtiy of Naples, 2016. "Complexity and the Economics of Climate Change : a survey and look forward," Documents de Travail de l'OFCE 2016-23, Observatoire Francais des Conjonctures Economiques (OFCE).
    4. 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.
    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. 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.
    7. Oliveira, Fernando, 2008. "The value of information in electricity investment games," Energy Policy, Elsevier, vol. 36(7), pages 2364-2375, July.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 14 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 (11) 2010-06-11 2010-07-24 2011-12-13 2015-10-25 2015-10-25 2016-08-07 2018-10-22 2018-11-26 2019-04-01 2019-04-01 2019-12-09. Author is listed
  2. NEP-CBE: Cognitive & Behavioural Economics (3) 2016-08-07 2018-11-26 2019-04-01
  3. NEP-CDM: Collective Decision-Making (3) 2010-06-11 2011-12-13 2015-10-25
  4. NEP-GTH: Game Theory (3) 2010-06-11 2011-12-13 2015-10-25
  5. NEP-NEU: Neuroeconomics (3) 2016-08-07 2018-11-26 2019-04-01
  6. NEP-POL: Positive Political Economics (3) 2010-06-11 2011-12-13 2015-10-25
  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-COM: Industrial Competition (1) 2005-11-19
  10. NEP-CSE: Economics of Strategic Management (1) 2016-08-07
  11. NEP-ECM: Econometrics (1) 2015-02-05
  12. NEP-EUR: Microeconomic European Issues (1) 2011-04-02
  13. NEP-FMK: Financial Markets (1) 2018-10-22

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