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Marco Li Calzi

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. Marco LiCalzi & Roland Muhlenbernd, 2018. "Categorization and cooperation across games," Working Papers 14, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Marco LiCalzi & Roland Mühlenbernd, 2022. "Feature-weighted categorized play across symmetric games," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 1052-1078, June.
    2. Roland Mühlenbernd & Sławomir Wacewicz & Przemysław Żywiczyński, 2022. "The Evolution of Ambiguity in Sender—Receiver Signaling Games," Games, MDPI, vol. 13(2), pages 1-19, February.
    3. Vessela Daskalova & Nicolaas J. Vriend, 2021. "Learning Frames," Working Papers 202118, School of Economics, University College Dublin.
    4. Vessela Daskalova & Nicolaas J. Vriend, 2014. "Categorization and Coordination," Working Papers 719, Queen Mary University of London, School of Economics and Finance.

  2. Lorenzo Bastianello & Marco LiCalzi, 2018. "The probability to reach an agreement as a foundation for axiomatic bargaining," Working Papers 02, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Bård Harstad, 2018. "Pledge-and-Review Bargaining," CESifo Working Paper Series 7296, CESifo.
    2. Harstad, Bård, 2021. "A Theory of Pledge-and-Review Bargaining," Memorandum 5/2022, Oslo University, Department of Economics, revised 21 Jun 2021.
    3. Luis C. Dias & Rudolf Vetschera, 2022. "Two-party Bargaining Processes Based on Subjective Expectations: A Model and a Simulation Study," Group Decision and Negotiation, Springer, vol. 31(4), pages 843-869, August.
    4. William Thomson, 2022. "On the axiomatic theory of bargaining: a survey of recent results," Review of Economic Design, Springer;Society for Economic Design, vol. 26(4), pages 491-542, December.
    5. Yoshio Kamijo, 2023. "Fixation of inequality and emergence of the equal split norm: Approach from behavioral bargaining theory," Working Papers 2209, Waseda University, Faculty of Political Science and Economics, revised Jun 2023.

  3. Robert Gibbons & Marco LiCalzi & Massimo Warglien, 2017. "What situation is this? Coarse cognition and behavior over a space of games," Working Papers 09, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Marco LiCalzi & Roland Muhlenbernd, 2018. "Categorization and cooperation across games," Working Papers 14, Department of Management, Università Ca' Foscari Venezia.
    2. Vessela Daskalova & Nicolaas J. Vriend, 2021. "Learning Frames," Working Papers 202118, School of Economics, University College Dublin.
    3. Vessela Daskalova & Nicolaas J. Vriend, 2014. "Categorization and Coordination," Working Papers 719, Queen Mary University of London, School of Economics and Finance.

  4. Robert Bordley & Marco LiCalzi & Luisa Tibiletti, 2014. "A target-based foundation for the "hard-easy effect" bias," Working Papers 23, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Barron, Kai & Gravert, Christina, 2018. "Confidence and career choices: An experiment," Discussion Papers, Research Unit: Economics of Change SP II 2018-301, WZB Berlin Social Science Center.
    2. Barron, Kai & Gravert, Christina, 2018. "Beliefs and actions: How a shift in confidence affects choices," MPRA Paper 84743, University Library of Munich, Germany.
    3. Sergio Margarita & Luisa Tibiletti & Mariacristina Uberti, 2015. "How does Optimism impact on Entrepreneurs’ Overconfidence?," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 6(3), pages 45-53, September.

  5. Marco LiCalzi & Oktay Surucu, 2011. "The power of diversity over large solution spaces," Working Papers 206, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Sep 2011.

    Cited by:

    1. Darío Blanco-Fernández & Stephan Leitner & Alexandra Rausch, 2023. "Interactions between the individual and the group level in organizations: The case of learning and group turnover," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1087-1128, December.
    2. Collevecchio, Andrea & LiCalzi, Marco, 2012. "The probability of nontrivial common knowledge," Games and Economic Behavior, Elsevier, vol. 76(2), pages 556-570.
    3. Meagher, Kieron & Prasad, Suraj, 2016. "Career concerns and team talent," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 1-17.
    4. Dutcher, E. Glenn & Rodet, Cortney S., 2018. "Which Two Heads are Better than One? Uncovering the Positive Effects of Diversity in Creative Teams," MPRA Paper 89982, University Library of Munich, Germany.
    5. Marco LiCalzi & Lucia Milone, 2012. "Talent management in triadic organizational architectures," 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 169-181, Springer.
    6. Dario Blanco-Fernandez & Stephan Leitner & Alexandra Rausch, 2022. "Interactions between the individual and the group level in organizations: The case of learning and autonomous group adaptation," Papers 2203.09162, arXiv.org.
    7. Daniels, David P. & Neale, Margaret A. & Greer, Lindred L., 2017. "Spillover bias in diversity judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 139(C), pages 92-105.
    8. Dar'io Blanco-Fern'andez & Stephan Leitner & Alexandra Rausch, 2022. "Dynamic groups in complex task environments: To change or not to change a winning team?," Papers 2203.09157, arXiv.org.
    9. John A Weymark, 2014. "Cognitive Diversity, Binary Decisions, and Epistemic Democracy," Vanderbilt University Department of Economics Working Papers 14-00008, Vanderbilt University Department of Economics.
    10. Morvarid Rahmani & Guillaume Roels & Uday S. Karmarkar, 2017. "Collaborative Work Dynamics in Projects with Co‐Production," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 686-703, April.
    11. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.
    12. Dar'io Blanco-Fern'andez & Stephan Leitner & Alexandra Rausch, 2021. "Multi-level Adaptation of Distributed Decision-Making Agents in Complex Task Environments," Papers 2103.02345, arXiv.org.

  6. Andrea Collevecchio & Marco LiCalzi, 2011. "The probability of nontrivial common knowledge," Working Papers 6, Department of Management, Università Ca' Foscari Venezia, revised Mar 2012.

    Cited by:

    1. Marco LiCalzi & Oktay Surucu, 2011. "The power of diversity over large solution spaces," Working Papers 206, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Sep 2011.
    2. Marco LiCalzi & Lucia Milone, 2012. "Talent management in triadic organizational architectures," 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 169-181, Springer.

  7. M. Li Calzi, 2010. "Fictitious Play By Cases," Levine's Working Paper Archive 407, David K. Levine.

    Cited by:

    1. Khan, Abhimanyu, 2021. "Evolutionary Stability of Behavioural Rules," MPRA Paper 111309, University Library of Munich, Germany.
    2. , & ,, 2008. "Contagion through learning," Theoretical Economics, Econometric Society, vol. 3(4), December.
    3. Friederike Mengel, 2007. "Learning Across Games," Working Papers. Serie AD 2007-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Terje Lensberg & Klaus Reiner Schenk-Hoppe, 2019. "Evolutionary Stable Solution Concepts for the Initial Play," Economics Discussion Paper Series 1916, Economics, The University of Manchester.
    5. Sibilla Di Guida & Giovanna Devetag, 2013. "Feature-Based Choice and Similarity Perception in Normal-Form Games: An Experimental Study," Games, MDPI, vol. 4(4), pages 1-19, December.
    6. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2021. "Cold play: Learning across bimatrix games," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 419-441.
    7. Grimm, V. & Mengel, F., 2009. "An Experiment on Learning in a Multiple Games Environment," Research Memorandum 007, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    8. Rossella Argenziano & Itzhak Gilboa, 2012. "History as a coordination device," Theory and Decision, Springer, vol. 73(4), pages 501-512, October.
    9. Yasar, Alperen, 2023. "Power struggles and gender discrimination in the workplace," SocArXiv t4g83, Center for Open Science.
    10. Ponti, Giovanni, 2000. "Continuous-time evolutionary dynamics: theory and practice," Research in Economics, Elsevier, vol. 54(2), pages 187-214, June.
    11. Spiliopoulos, Leonidas, 2009. "Neural networks as a learning paradigm for general normal form games," MPRA Paper 16765, University Library of Munich, Germany.
    12. Fabrizio Germano, 2007. "Stochastic Evolution of Rules for Playing Finite Normal Form Games," Theory and Decision, Springer, vol. 62(4), pages 311-333, May.
    13. Marco LiCalzi & Roland Muhlenbernd, 2018. "Categorization and cooperation across games," Working Papers 14, Department of Management, Università Ca' Foscari Venezia.
    14. Spiliopoulos, Leonidas, 2012. "Interactive learning in 2×2 normal form games by neural network agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5557-5562.
    15. Jakub Steiner & Colin Stewart, 2007. "Learning by Similarity in Coordination Problems," CERGE-EI Working Papers wp324, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    16. Fabrizio Germano, 2004. "Stochastic evolution of rules for playing normal form games," Economics Working Papers 761, Department of Economics and Business, Universitat Pompeu Fabra.
    17. John Van Huyck & Dale O. Stahl, 2018. "Conditional behavior and learning in similar stag hunt games," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 513-526, September.
    18. Rankin, Frederick W. & Van Huyck, John B. & Battalio, Raymond C., 2000. "Strategic Similarity and Emergent Conventions: Evidence from Similar Stag Hunt Games," Games and Economic Behavior, Elsevier, vol. 32(2), pages 315-337, August.

  8. Shira Fano & Marco Li Calzi & Paolo Pellizzari, 2010. "Convergence of outcomes and evolution of strategic behavior in double auctions," Working Papers 196, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Shira Fano & Marco LiCalzi & Paolo Pellizzari, 2013. "Convergence of outcomes and evolution of strategic behavior in double auctions," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 513-538, July.
    2. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    3. Florian Hauser & Marco LiCalzi, 2011. "Learning to trade in an unbalanced market," Working Papers 2, Department of Management, Università Ca' Foscari Venezia.
    4. Olga A. Rud & Jean Paul Rabanal, 2018. "Evolution of markets: a simulation with centralized, decentralized and posted offer formats," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 667-689, August.
    5. Shira Fano & Paolo Pellizzari, 2011. "Time-Dependent Trading Strategies in a Continuous Double Auction," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 165-176, Springer.
    6. Paolo Pellizzari, 2011. "Optimal trading in a limit order book using linear strategies," Working Papers 2011_16, Department of Economics, University of Venice "Ca' Foscari", revised Sep 2011.
    7. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Jakob Grazzini, 2013. "Information dissemination in an experimentally based agent-based stock market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 179-209, April.
    9. Giulio Bottazzi & Pietro Dindo, 2013. "Evolution and market behavior in economics and finance: introduction to the special issue," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 507-512, July.
    10. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    11. Ruijgrok, Matthijs, 2012. "A single-item continuous double auction game," MPRA Paper 42086, University Library of Munich, Germany.
    12. Jean Paul Rabanal & Olga A. Rabanal, 2015. "A Simulation on the Evolution of Markets: Call Market, Decentralized and Posted Offer," Working Papers 34, Peruvian Economic Association.

  9. Roberto Cervone & Stefano Galavotti & Marco LiCalzi, 2009. "Symmetric Equilibria in Double Auctions with Markdown Buyers and Markup Sellers," Working Papers 187, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Working Paper Series 1959, European Central Bank.
    2. Shira Fano & Marco LiCalzi & Paolo Pellizzari, 2013. "Convergence of outcomes and evolution of strategic behavior in double auctions," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 513-538, July.
    3. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    4. Olga A. Rud & Jean Paul Rabanal, 2018. "Evolution of markets: a simulation with centralized, decentralized and posted offer formats," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 667-689, August.
    5. Michiel Leur, 2018. "Information and Efficiency in Thin Buyer–Seller Markets over Random Networks," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1069-1095, April.
    6. Jean Paul Rabanal & Olga A. Rabanal, 2015. "A Simulation on the Evolution of Markets: Call Market, Decentralized and Posted Offer," Working Papers 34, Peruvian Economic Association.

  10. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Florian Hauser & Marco LiCalzi, 2011. "Learning to trade in an unbalanced market," Working Papers 2, Department of Management, Università Ca' Foscari Venezia.
    2. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    3. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    4. Annalisa Fabretti & Tommy Gärling & Stefano Herzel & Martin Holmen, 2017. "Convex incentives in financial markets: an agent-based analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 40(1), pages 375-395, November.
    5. Jakob Grazzini, 2012. "Analysis of the Emergent Properties: Stationarity and Ergodicity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-7.
    6. Anufriev, Mikhail & Arifovic, Jasmina & Ledyard, John & Panchenko, Valentyn, 2022. "The role of information in a continuous double auction: An experiment and learning model," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).

  11. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.

    Cited by:

    1. Roberto Cervone & Stefano Galavotti & Marco LiCalzi, 2009. "Symmetric Equilibria in Double Auctions with Markdown Buyers and Markup Sellers," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 81-92, Springer.

  12. Marco LiCalzi & Paolo Pellizzari, 2007. "Which market protocols facilitate fair trading?," Working Papers 151, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.

  13. Marco LiCalzi & Antonio Nicolo, 2007. "Efficient Egalitarian Equivalent Allocations over a Single Good," Working Papers 152, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Erel Segal-Halevi & Shmuel Nitzan & Avinatan Hassidim & Yonatan Aumann, 2020. "Envy-Free Division of Land," Mathematics of Operations Research, INFORMS, vol. 45(3), pages 896-922, August.
    2. Rodrigo A. Velez & Antonio Nicolo, 2016. "Divide and compromise," Working Papers 20160710-001, Texas A&M University, Department of Economics.
    3. Erel Segal-Halevi & Shmuel Nitzan, 2014. "Cake Cutting – Fair and Square," Working Papers 2014-01, Bar-Ilan University, Department of Economics.
    4. Erel Segal-Halevi & Balázs R. Sziklai, 2019. "Monotonicity and competitive equilibrium in cake-cutting," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(2), pages 363-401, September.

  14. Marco LiCalzi & Paolo Pellizzari, 2006. "The allocative effectiveness of market protocols under intelligent trading," Working Papers 134, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. LiCalzi, Marco & Pellizzari, Paolo, 2007. "Simple market protocols for efficient risk sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3568-3590, November.
    2. Cappellini, Alessandro & Ferraris, Gianluigi, 2007. "Waiting Times in Simulated Stock Markets," MPRA Paper 7324, University Library of Munich, Germany.
    3. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    4. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    5. Ladley, Dan & Schenk-Hoppé, Klaus Reiner, 2009. "Do stylised facts of order book markets need strategic behaviour?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 817-831, April.
    6. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    7. Alessandro N. Cappellini & Gianluigi Ferraris, 2009. "Waiting Times In Simulated Stock Markets," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 195-206.

  15. Marco LiCalzi & Paolo Pellizzari, 2006. "Simple Market Protocols for Efficient Risk Sharing," Working Papers 136, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2020. "Non-Value-Added Tax to Improve Market Fairness," Working Papers hal-02881064, HAL.
    2. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2022. "Non-Value-Added Tax to improve market fairness and quality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    3. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    4. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading without Resampling," Working Papers 164, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    5. Ladley, Dan & Schenk-Hoppé, Klaus Reiner, 2009. "Do stylised facts of order book markets need strategic behaviour?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 817-831, April.
    6. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    7. Paolo Pellizzari & Arianna Dal Forno, 2005. "A comparison of different trading protocols in an agent-based market," Computational Economics 0511001, University Library of Munich, Germany.
    8. Paolo Pellizzari, 2008. "The Toll of Subrational Trading in an Agent Based Economy," Research Paper Series 217, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Marco LiCalzi & Paolo Pellizzari, 2006. "The allocative effectiveness of market protocols under intelligent trading," Working Papers 134, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    10. Anufriev, M. & Panchenko, V., 2007. "Asset Prices, Traders' Behavior, and Market Design," CeNDEF Working Papers 07-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    11. Nathalie Oriol & Iryna Veryzhenko, 2019. "Market structure or traders' behavior? A multi agent model to assess flash crash phenomena and their regulation," Post-Print halshs-01984442, HAL.

  16. Erio Castagnoli & Marco LiCalzi, 2005. "Benchmarking real-valued acts," Microeconomics 0502001, University Library of Munich, Germany.

    Cited by:

    1. Hill, Brian, 2010. "An additively separable representation in the Savage framework," Journal of Economic Theory, Elsevier, vol. 145(5), pages 2044-2054, September.
    2. Michel Denuit & Louis Eeckhoudt, 2010. "Bivariate Stochastic Dominance and Substitute Risk-(In)dependent Utilities," Decision Analysis, INFORMS, vol. 7(3), pages 302-312, September.
    3. Edoardo Berton & Alessandro Doldi & Marco Maggis, 2024. "On continuity of state-dependent utilities," Papers 2401.09054, arXiv.org.
    4. Stanca, Lorenzo, 2020. "A simplified approach to subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 87(C), pages 151-160.
    5. David B. Brown & Enrico De Giorgi & Melvyn Sim, 2012. "Aspirational Preferences and Their Representation by Risk Measures," Management Science, INFORMS, vol. 58(11), pages 2095-2113, November.
    6. Stergios Athanasoglou & Valentina Bosetti & Laurent Drouet, 2017. "A Simple Framework for Climate-Change Policy under Model Uncertainty," Working Papers 2017.13, Fondazione Eni Enrico Mattei.
    7. Marco Maggis & Andrea Maran, 2018. "Stochastic Dynamic Utilities and Inter-Temporal Preferences," Papers 1803.05244, arXiv.org, revised Feb 2020.
    8. Enrico G. De Giorgi & David B. Brown & Melvyn Sim, 2010. "Dual representation of choice and aspirational preferences," University of St. Gallen Department of Economics working paper series 2010 2010-07, Department of Economics, University of St. Gallen.

  17. Marco LiCalzi, 2005. "A sufficient condition for all-or-nothing information supply in price discrimination," Game Theory and Information 0510005, University Library of Munich, Germany.

    Cited by:

    1. Juan-José Ganuza & José S. Penalva, 2005. "On Information and Competition in Private Value Auctions," Working Papers 158, Barcelona School of Economics.

  18. Marco LiCalzi & Paolo Pellizzari, 2005. "Breeds of risk-adjusted fundamentalist strategies in an order- driven market," Computational Economics 0506001, University Library of Munich, Germany.

    Cited by:

    1. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.

  19. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.

    Cited by:

    1. Robert Bordley & Marco LiCalzi & Luisa Tibiletti, 2014. "A target-based foundation for the "hard-easy effect" bias," Working Papers 23, Department of Management, Università Ca' Foscari Venezia.
    2. Lorenzo Bastianello & Marco LiCalzi, 2015. "Target-based solutions for Nash bargaining," Working Papers 5, Department of Management, Università Ca' Foscari Venezia.
    3. DellaVigna, Stefano & LiCalzi, Marco, 2001. "Learning to make risk neutral choices in a symmetric world," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 19-37, January.
    4. Lorenzo Bastianello & Marco LiCalzi, 2018. "The probability to reach an agreement as a foundation for axiomatic bargaining," Working Papers 02, Department of Management, Università Ca' Foscari Venezia.
    5. Sergiy Gerasymchuk, 2007. "Mean-Variance Portfolio Selection with Reference Dependent Preferences," Working Papers 150, Department of Applied Mathematics, Università Ca' Foscari Venezia.

  20. Marco LiCalzi & Arthur F. Veinott, 2005. "Subextremal functions and lattice programming," GE, Growth, Math methods 0509001, University Library of Munich, Germany.

    Cited by:

    1. Manjira Datta & Kevin L. Reffett, 2005. "Isotone Recursive Methods: the Case of Homogeneous Agents," Tinbergen Institute Discussion Papers 05-012/2, Tinbergen Institute.
    2. Kevin Reffett & Manjira Datta & Leonard Mirman & Olivier Morand, "undated". "Monotone Methods for Markovian Equilibrium in Dynamic Economies," Working Papers 2133476, Department of Economics, W. P. Carey School of Business, Arizona State University.
    3. Nikolai S. Kukushkin, 2016. "Cournot Tatonnement in Aggregative Games with Monotone Best Responses," Springer Series in Game Theory, in: Pierre von Mouche & Federico Quartieri (ed.), Equilibrium Theory for Cournot Oligopolies and Related Games, pages 31-45, Springer.
    4. Anne-Christine Barthel & Tarun Sabarwal, 2016. "Directional Monotone Comparative Statics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201601, University of Kansas, Department of Economics.
    5. Łukasz Balbus & Paweł Dziewulski & Kevin Reffett & Łukasz Woźny, 2015. "Differential information in large games with strategic complementarities," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 59(1), pages 201-243, May.
    6. Nikolai S. Kukushkin, 2012. "On the Existence of Optima in Complete Chains and Lattices," Journal of Optimization Theory and Applications, Springer, vol. 154(3), pages 759-767, September.
    7. Koji Shirai, 2008. "A generalization of monotone comparative statics," Economics Bulletin, AccessEcon, vol. 3(39), pages 1-9.
    8. Nikolai Kukushkin, 2013. "Monotone comparative statics: changes in preferences versus changes in the feasible set," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(3), pages 1039-1060, April.
    9. Leonard J Mirman & Olivier F. Morand & Kevin L. Reffett, 2004. "A Qualitative Approach to Markovian Equilibrium in Infinite Horizon Economies with Capital," Levine's Bibliography 122247000000000224, UCLA Department of Economics.
    10. Kukushkin, Nikolai S., 2017. "Better response dynamics and Nash equilibrium in discontinuous games," MPRA Paper 81460, University Library of Munich, Germany.
    11. Elena Antoniadou, 2007. "Comparative Statics for the Consumer Problem," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(1), pages 189-203, April.
    12. Kukushkin, Nikolai S., 2016. "Nash equilibrium with discontinuous utility functions: Reny's approach extended," MPRA Paper 75862, University Library of Munich, Germany.
    13. Sobel, Joel, 2019. "Iterated weak dominance and interval-dominance supermodular games," Theoretical Economics, Econometric Society, vol. 14(1), January.
    14. Manjira Datta & Leonard Mirman & Kevin Reffett, "undated". "Nonclassical Brock-Mirman Economies," Working Papers 2179544, Department of Economics, W. P. Carey School of Business, Arizona State University.
    15. Bar Light, 2019. "Stochastic Comparative Statics in Markov Decision Processes," Papers 1904.05481, arXiv.org, revised Jan 2020.

  21. Erio Castagnoli & Marco LiCalzi, 2005. "Expected utility without utility," Game Theory and Information 0508004, University Library of Munich, Germany.

    Cited by:

    1. Erio Castagnoli & Marco LiCalzi, 2005. "Benchmarking real-valued acts," Microeconomics 0502001, University Library of Munich, Germany.
    2. Abbas, 2004. "Utility Probability Duality," General Economics and Teaching 0403001, University Library of Munich, Germany.
    3. Robert F. Bordley & Stephen M. Pollock, 2009. "A Decision-Analytic Approach to Reliability-Based Design Optimization," Operations Research, INFORMS, vol. 57(5), pages 1262-1270, October.
    4. Lucy Gongtao Chen & Daniel Zhuoyu Long & Melvyn Sim, 2015. "On Dynamic Decision Making to Meet Consumption Targets," Operations Research, INFORMS, vol. 63(5), pages 1117-1130, October.
    5. Wenqing Chen & Melvyn Sim, 2009. "Goal-Driven Optimization," Operations Research, INFORMS, vol. 57(2), pages 342-357, April.
    6. Robert Bordley & Marco LiCalzi & Luisa Tibiletti, 2014. "A target-based foundation for the "hard-easy effect" bias," Working Papers 23, Department of Management, Università Ca' Foscari Venezia.
    7. Michel Denuit & Louis Eeckhoudt, 2010. "Bivariate Stochastic Dominance and Substitute Risk-(In)dependent Utilities," Decision Analysis, INFORMS, vol. 7(3), pages 302-312, September.
    8. Bordley, Robert F. & Keisler, Jeffrey M. & Logan, Tom M., 2019. "Managing projects with uncertain deadlines," European Journal of Operational Research, Elsevier, vol. 274(1), pages 291-302.
    9. Ilia Tsetlin & Robert L. Winkler, 2007. "Decision Making with Multiattribute Performance Targets: The Impact of Changes in Performance and Target Distributions," Operations Research, INFORMS, vol. 55(2), pages 226-233, April.
    10. Lorenzo Bastianello & Marco LiCalzi, 2015. "Target-based solutions for Nash bargaining," Working Papers 5, Department of Management, Università Ca' Foscari Venezia.
    11. David B. Brown & Melvyn Sim, 2009. "Satisficing Measures for Analysis of Risky Positions," Management Science, INFORMS, vol. 55(1), pages 71-84, January.
    12. Woo-Jin Jung & Seungjun Yang & Hee-Woong Kim, 2020. "Design of sweepstakes-based social media marketing for online customer engagement," Electronic Commerce Research, Springer, vol. 20(1), pages 119-146, March.
    13. DellaVigna, Stefano & LiCalzi, Marco, 2001. "Learning to make risk neutral choices in a symmetric world," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 19-37, January.
    14. Marco LiCalzi & Annamaria Sorato, 2003. "The Pearson system of utility functions," Game Theory and Information 0311002, University Library of Munich, Germany.
    15. Maria Camila De-La-Hoz & Carlos Pombo, 2015. "Institutional Investors and Firm Valuation: Evidence from Latin America," Documentos CEDE 12849, Universidad de los Andes, Facultad de Economía, CEDE.
    16. Jeffrey M. Keisler & Robert F. Bordley, 2015. "Project Management Decisions with Uncertain Targets," Decision Analysis, INFORMS, vol. 12(1), pages 15-28, March.
    17. Shao-Wei Lam & Tsan Sheng Ng & Melvyn Sim & Jin-Hwa Song, 2013. "Multiple Objectives Satisficing Under Uncertainty," Operations Research, INFORMS, vol. 61(1), pages 214-227, February.
    18. Louis Eeckhoudt & Anna Maria Fiori & Emanuela Rosazza Gianin, 2016. "Loss‐averse preferences and portfolio choices: An extension," Post-Print hal-01667394, HAL.
    19. Bautista, Rafael, 2014. "A quantitative model of the human capital contribution to the value of a project," Galeras. Working Papers Series 039, Universidad de Los Andes. Facultad de Administración. School of Management.
    20. Lorenzo Bastianello & Marco LiCalzi, 2018. "The probability to reach an agreement as a foundation for axiomatic bargaining," Working Papers 02, Department of Management, Università Ca' Foscari Venezia.
    21. Abbas, Ali E., 2007. "Moments of utility functions and their applications," European Journal of Operational Research, Elsevier, vol. 180(1), pages 378-395, July.
    22. Enrico Diecidue & Moshe Levy & Jeroen Ven, 2015. "No aspiration to win? An experimental test of the aspiration level model," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 245-266, December.
    23. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.
    24. Robert F. Bordley & Craig W. Kirkwood, 2004. "Multiattribute Preference Analysis with Performance Targets," Operations Research, INFORMS, vol. 52(6), pages 823-835, December.
    25. Ali E. Abbas, 2006. "Maximum Entropy Utility," Operations Research, INFORMS, vol. 54(2), pages 277-290, April.
    26. Feng, Bo & Lai, Fujun, 2014. "Multi-attribute group decision making with aspirations: A case study," Omega, Elsevier, vol. 44(C), pages 136-147.
    27. Ali Abbas, 2004. "Maximum Entropy Utility," Game Theory and Information 0403002, University Library of Munich, Germany.
    28. Hu, Jian & Homem-de-Mello, Tito & Mehrotra, Sanjay, 2014. "Stochastically weighted stochastic dominance concepts with an application in capital budgeting," European Journal of Operational Research, Elsevier, vol. 232(3), pages 572-583.
    29. Wynn C. Stirling & Teppo Felin, 2016. "Satisficing, preferences, and social interaction: a new perspective," Theory and Decision, Springer, vol. 81(2), pages 279-308, August.
    30. Bordley, Robert F., 2005. "Econophysics and individual choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 479-495.
    31. Bordley, Robert F. & Pollock, Stephen M., 2012. "Assigning resources and targets to an organization’s activities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 752-761.
    32. Sergiy Gerasymchuk, 2007. "Mean-Variance Portfolio Selection with Reference Dependent Preferences," Working Papers 150, Department of Applied Mathematics, Università Ca' Foscari Venezia.
    33. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2013. "Pareto utility," Theory and Decision, Springer, vol. 75(1), pages 43-57, July.

  22. Marco LiCalzi & Annamaria Sorato, 2003. "The Pearson system of utility functions," Game Theory and Information 0311002, University Library of Munich, Germany.

    Cited by:

    1. Denis Conniffe, 2007. "The Generalised Extreme Value Distribution as Utility Function," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 275-288.
    2. Fausto Corradin & Domenico Sartore, 2020. "Risk Aversion: Differential Conditions for the Iso-Utility Curves with Positive Slope in Transformed Two-Parameter Distributions," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 142-217, September.
    3. Chang, Ching-Ter, 2011. "Multi-choice goal programming with utility functions," European Journal of Operational Research, Elsevier, vol. 215(2), pages 439-445, December.
    4. Jack Meyer, 2010. "Representing risk preferences in expected utility based decision models," Annals of Operations Research, Springer, vol. 176(1), pages 179-190, April.
    5. Abbas, Ali E., 2007. "Moments of utility functions and their applications," European Journal of Operational Research, Elsevier, vol. 180(1), pages 378-395, July.
    6. Brett Houlding & Frank P. A. Coolen & Donnacha Bolger, 2015. "A Conjugate Class of Utility Functions for Sequential Decision Problems," Risk Analysis, John Wiley & Sons, vol. 35(9), pages 1611-1622, September.
    7. Joost M.E. Pennings & Philip Garcia, 2009. "The informational content of the shape of utility functions: financial strategic behavior," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 83-90.
    8. Taras Bodnar & Dmytro Ivasiuk & Nestor Parolya & Wolfgang Schmid, 2023. "Multi-period power utility optimization under stock return predictability," Computational Management Science, Springer, vol. 20(1), pages 1-27, December.
    9. Zhengwei Sun & Ali E. Abbas, 2014. "On the sensitivity of the value of information to risk aversion in two-action decision problems," Environment Systems and Decisions, Springer, vol. 34(1), pages 24-37, March.

  23. Marco LiCalzi & Alessandro Pavan, 2003. "Tilting the Supply Schedule to Enhance Competition in Uniform-Price Auctions," Working Papers 2003.22, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Vives, Xavier, 2008. "Strategic supply function competition with private information," IESE Research Papers D/774, IESE Business School.
    2. Shrestha, Ratna K., 2017. "Menus of price-quantity contracts for inducing the truth in environmental regulation," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 1-7.
    3. Monostori, Zoltan, 2013. "Diszkriminatív áras és egyenáras aukciók [Discriminatory versus uniform-price auctions]," MPRA Paper 54254, University Library of Munich, Germany, revised Apr 2013.
    4. Yuanguang Yu, 2012. "An Optimal Ad Valorem Tax/Subsidy with an Output-Based Refunded Emission Payment for Permits Auction in an Oligopoly Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 235-248, June.
    5. Song Han & Dan Li, 2009. "Liquidity, runs, and security design: lessons from the collapse of the auction rate municipal bond market," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    6. Salant, David J. & Cabral, Luís, 2019. "Sequential auctions and auction revenue," Economics Letters, Elsevier, vol. 176(C), pages 1-4.
    7. Christian Ewerhart & Nuno Cassola & Natacha Valla, 2007. "Declining Valuations And Equilibrium Bidding In Central Bank Refinancing Operations," Swiss Finance Institute Research Paper Series 07-22, Swiss Finance Institute.
    8. Friesen, Lana & Gangadharan, Lata & Khezr, Peyman & MacKenzie, Ian A., 2022. "Mind your Ps and Qs! Variable allowance supply in the US Regional Greenhouse Gas Initiative," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
    9. Hunt Allcott, 2012. "The Smart Grid, Entry, and Imperfect Competition in Electricity Markets," NBER Working Papers 18071, National Bureau of Economic Research, Inc.
    10. Kastl, Jakub, 2012. "On the properties of equilibria in private value divisible good auctions with constrained bidding," Journal of Mathematical Economics, Elsevier, vol. 48(6), pages 339-352.
    11. Damianov, Damian S. & Becker, Johannes Gerd, 2010. "Auctions with variable supply: Uniform price versus discriminatory," European Economic Review, Elsevier, vol. 54(4), pages 571-593, May.
    12. Robert Jörin & Yvan Lengwiler, 2004. "Learning from Financial Markets: Auctioning Tariff-Rate Quotas in Agricultural Trade," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 140(IV), pages 521-541, December.
    13. Peyman Khezr & Ian A. MacKenzie, 2018. "An efficient and implementable auction for environmental rights," Discussion Papers Series 587, School of Economics, University of Queensland, Australia.
    14. Sanna Laksá & Daniel Marszalec & Alexander Teytelboym, 2018. "Epic Fail: How Below-Bid Pricing Backfires in Multiunit Auctions," CIRJE F-Series CIRJE-F-1096, CIRJE, Faculty of Economics, University of Tokyo.
    15. Moldovanu, Benny & Sela, Aner & Shi, Xianwen, 2008. "Competing auctions with endogenous quantities," Journal of Economic Theory, Elsevier, vol. 141(1), pages 1-27, July.
    16. Peyman Khezr & Ian A. MacKenzie, 2018. "Revenue and efficiency in pollution permit allocation mechanisms," Discussion Papers Series 601, School of Economics, University of Queensland, Australia.
    17. Edward Anderson & Pär Holmberg, 2023. "Multi-unit auctions with uncertain supply and single-unit demand," Working Papers EPRG2310, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    18. Song Han & Dan Li, 2010. "The fragility of discretionary liquidity provision - lessons from the collapse of the auction rate securities market," Finance and Economics Discussion Series 2010-50, Board of Governors of the Federal Reserve System (U.S.).
    19. Burkett, Justin & Woodward, Kyle, 2020. "Reserve prices eliminate low revenue equilibria in uniform price auctions," Games and Economic Behavior, Elsevier, vol. 121(C), pages 297-306.
    20. Cassola, Nuno & Ewerhart, Christian & Valla, Natacha, 2005. "Equilibrium and inefficiency in fixed rate tenders," Working Paper Series 554, European Central Bank.
    21. Cumpston, Anne & Khezr, Peyman, 2020. "Multi-Unit Auctions: A Survey of Theoretical Literature," MPRA Paper 101336, University Library of Munich, Germany.
    22. Lana Friesen & Lata Gangadharan & Peyman Khezr & Ian A. MacKenzie, 2020. "Mind your Ps and Qs! An Experiment on Variable Allowance Supply in the US Regional Greenhouse Gas Initiative," Discussion Papers Series 618, School of Economics, University of Queensland, Australia.
    23. Khezr, Peyman & MacKenzie, Ian A., 2018. "Permit market auctions with allowance reserves," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 283-306.
    24. Hummel, Patrick, 2016. "Position auctions with dynamic resizing," International Journal of Industrial Organization, Elsevier, vol. 45(C), pages 38-46.
    25. Burkett, Justin & Woodward, Kyle, 2020. "Uniform price auctions with a last accepted bid pricing rule," Journal of Economic Theory, Elsevier, vol. 185(C).
    26. Peyman Khezr & Anne Cumpston, 2022. "A review of multiunit auctions with homogeneous goods," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1225-1247, September.
    27. Lana Friesen & Lata Gangadharan & Peyman Khezr & Ian A. MacKenzie, 2019. "Cost containment in pollution auctions," Discussion Papers Series 610, School of Economics, University of Queensland, Australia.
    28. Xavier Vives, 2010. "Asset Auctions, Information, and Liquidity," Journal of the European Economic Association, MIT Press, vol. 8(2-3), pages 467-477, 04-05.
    29. Llobet, Gerard & Fabra, Natalia, 2019. "Auctions with Unknown Capacities: Understanding Competition among Renewables," CEPR Discussion Papers 14060, C.E.P.R. Discussion Papers.
    30. Raphaële Préget, 2004. "Adjudications des valeurs du Trésor," Revue Française d'Économie, Programme National Persée, vol. 18(4), pages 63-110.
    31. Bourjade, Sylvain, 2009. "Strategic price discounting and rationing in uniform price auctions," Economics Letters, Elsevier, vol. 105(1), pages 23-27, October.
    32. Congjun Rao & Yong Zhao & Junjun Zheng & Mark Goh & Cheng Wang, 2017. "Bidding Behavior and Equilibrium Excursion of Uniform Price Auction Mechanism," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-17, December.
    33. McAdams, David, 2007. "Adjustable supply in uniform price auctions: Non-commitment as a strategic tool," Economics Letters, Elsevier, vol. 95(1), pages 48-53, April.
    34. Ollikka, Kimmo, 2014. "Essays on auction mechanisms and information in regulating pollution," Research Reports P66, VATT Institute for Economic Research.
    35. Pycia, Marek & Woodward, Kyle, 2021. "Auctions of Homogeneous Goods: A Case for Pay-as-Bid," CEPR Discussion Papers 15656, C.E.P.R. Discussion Papers.
    36. Bourjade Sylvain, 2019. "Uniform Price Auctions with Asymmetric Bidders," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-14, January.
    37. Peyman Khezr & Ian A. MacKenzie, 2021. "An allocatively efficient auction for pollution permits," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(4), pages 571-585, April.
    38. Maurice Doyon & Lota Tamini & Virginie Simard & Kent Messer & Harry M. Kaiser, 2006. "L'économie expérimentale pour l'analyse de modifications au système centralisé de vente du quota laitier au Québec," CIRANO Working Papers 2006s-23, CIRANO.

  24. Marco LiCalzi & Paolo Pellizzari, 2002. "Fundamentalists Clashing over the Book: A Study of Order-Driven Stock Markets," Computational Economics 0207001, University Library of Munich, Germany, revised 04 Mar 2003.

    Cited by:

    1. LiCalzi, Marco & Pellizzari, Paolo, 2007. "Simple market protocols for efficient risk sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3568-3590, November.
    2. Roberto Mota Navarro & Hern'an Larralde Ridaura, 2016. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," Papers 1601.00229, arXiv.org, revised Jul 2016.
    3. Gareth W. Peters & Efstathios Panayi & Francois Septier, 2015. "SMC-ABC methods for the estimation of stochastic simulation models of the limit order book," Papers 1504.05806, arXiv.org.
    4. Enrico Scalas & Taisei Kaizoji & Michael Kirchler & Juergen Huber & Alessandra Tedeschi, 2006. "Waiting times between orders and trades in double-auction markets," Papers physics/0608273, arXiv.org.
    5. Marco LiCalzi & Paolo Pellizzari, 2005. "Breeds of risk-adjusted fundamentalist strategies in an order- driven market," Computational Economics 0506001, University Library of Munich, Germany.
    6. Chiarella, Carl & He, Xue-Zhong & Pellizzari, Paolo, 2012. "A Dynamic Analysis Of The Microstructure Of Moving Average Rules In A Double Auction Market," Macroeconomic Dynamics, Cambridge University Press, vol. 16(4), pages 556-575, September.
    7. Andrea Consiglio & Valerio Lacagnina & Annalisa Russino, 2005. "A simulation analysis of the microstructure of an order driven financial market with multiple securities and portfolio choices," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 71-87.
    8. Liu, Xinghua & Gregor, Shirley & Yang, Jianmei, 2008. "The effects of behavioral and structural assumptions in artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2535-2546.
    9. Ladley, Dan & Schenk-Hoppé, Klaus Reiner, 2009. "Do stylised facts of order book markets need strategic behaviour?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 817-831, April.
    10. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    11. Paolo Pellizzari & Arianna Dal Forno, 2005. "A comparison of different trading protocols in an agent-based market," Computational Economics 0511001, University Library of Munich, Germany.
    12. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Roberto Mota Navarro & Hernán Larralde, 2017. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-27, February.
    14. Chiarella, Carl & Iori, Giulia, 2009. "The impact of heterogeneous trading rules on the limit order book and order flows," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
    15. Anufriev, M. & Panchenko, V., 2007. "Asset Prices, Traders' Behavior, and Market Design," CeNDEF Working Papers 07-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Kirchler, Michael & Huber, Jurgen, 2007. "Fat tails and volatility clustering in experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1844-1874, June.
    17. Zoltan Eisler & Janos Kertesz & Fabrizio Lillo & Rosario Mantegna, 2009. "Diffusive behavior and the modeling of characteristic times in limit order executions," Quantitative Finance, Taylor & Francis Journals, vol. 9(5), pages 547-563.
    18. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    19. Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
    20. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    21. Raberto, Marco & Cincotti, Silvano, 2005. "Modeling and simulation of a double auction artificial financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 34-45.
    22. Anufriev Mikhail & Bottazzi Giulio, 2012. "Asset Pricing with Heterogeneous Investment Horizons," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-38, October.
    23. Kirchler, Michael & Huber, Jürgen, 2009. "An exploration of commonly observed stylized facts with data from experimental asset markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1631-1658.
    24. Kuroda, Koji & Murai, Joshin, 2007. "Limit theorems in financial market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 28-34.
    25. Krause, Andreas, 2006. "Fat tails and multi-scaling in a simple model of limit order markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 183-190.
    26. Consiglio, Andrea & Russino, Annalisa, 2007. "How does learning affect market liquidity? A simulation analysis of a double-auction financial market with portfolio traders," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1910-1937, June.

Articles

  1. Marco LiCalzi & Roland Mühlenbernd, 2019. "Categorization and Cooperation across Games," Games, MDPI, vol. 10(1), pages 1-21, January.
    See citations under working paper version above.
  2. Lorenzo Bastianello & Marco LiCalzi, 2019. "The Probability to Reach an Agreement as a Foundation for Axiomatic Bargaining," Econometrica, Econometric Society, vol. 87(3), pages 837-865, May.
    See citations under working paper version above.
  3. Shira Fano & Marco LiCalzi & Paolo Pellizzari, 2013. "Convergence of outcomes and evolution of strategic behavior in double auctions," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 513-538, July.
    See citations under working paper version above.
  4. Marco LiCalzi & Oktay Surucu, 2012. "The Power of Diversity over Large Solution Spaces," Management Science, INFORMS, vol. 58(7), pages 1408-1421, July.
    See citations under working paper version above.
  5. Collevecchio, Andrea & LiCalzi, Marco, 2012. "The probability of nontrivial common knowledge," Games and Economic Behavior, Elsevier, vol. 76(2), pages 556-570.
    See citations under working paper version above.
  6. Marco LiCalzi & Antonio Nicolò, 2009. "Efficient egalitarian equivalent allocations over a single good," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 40(1), pages 27-45, July.
    See citations under working paper version above.
  7. LiCalzi, Marco & Pellizzari, Paolo, 2007. "Simple market protocols for efficient risk sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(11), pages 3568-3590, November.
    See citations under working paper version above.
  8. LiCalzi, Marco & Sorato, Annamaria, 2006. "The Pearson system of utility functions," European Journal of Operational Research, Elsevier, vol. 172(2), pages 560-573, July.
    See citations under working paper version above.
  9. LiCalzi, Marco & Pellizzari, Paolo, 2006. "Breeds of risk-adjusted fundamentalist strategies in an order-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 619-633.
    See citations under working paper version above.
  10. Castagnoli, Erio & LiCalzi, Marco, 2006. "Benchmarking real-valued acts," Games and Economic Behavior, Elsevier, vol. 57(2), pages 236-253, November.
    See citations under working paper version above.
  11. LiCalzi, Marco & Pavan, Alessandro, 2005. "Tilting the supply schedule to enhance competition in uniform-price auctions," European Economic Review, Elsevier, vol. 49(1), pages 227-250, January.
    See citations under working paper version above.
  12. Marco Licalzi & Paolo Pellizzari, 2003. "Fundamentalists clashing over the book: a study of order-driven stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 3(6), pages 470-480.
    See citations under working paper version above.
  13. Marco LiCalzi & Sandrine Spaeter, 2003. "Distributions for the first-order approach to principal-agent problems," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 21(1), pages 167-173, January.

    Cited by:

    1. Marie-Cécile Fagart & Claude Fluet, 2012. "The First-Order Approach when the Cost of Effort is Money," Cahiers de recherche 1220, CIRPEE.
    2. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    3. Jiong Gong & Ping Jiang & Xiaochuan Xing, 2018. "Compensation Convexity without Utility Restriction," Australian Economic Papers, Wiley Blackwell, vol. 57(3), pages 238-249, September.
    4. Dionne, Georges & Spaeter, Sandrine, 2003. "Environmental risk and extended liability: The case of green technologies," Journal of Public Economics, Elsevier, vol. 87(5-6), pages 1025-1060, May.
    5. Jung, Jin Yong & Kim, Son Ku, 2015. "Information space conditions for the first-order approach in agency problems," Journal of Economic Theory, Elsevier, vol. 160(C), pages 243-279.
    6. Bond, Philip & Gomes, Armando, 2009. "Multitask principal-agent problems: Optimal contracts, fragility, and effort misallocation," Journal of Economic Theory, Elsevier, vol. 144(1), pages 175-211, January.
    7. James Mirrlees & Roberto Raimondo, 2013. "Strategies in the principal-agent model," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 53(3), pages 605-656, August.
    8. Poblete, Joaquín & Spulber, Daniel, 2017. "Managing innovation: Optimal incentive contracts for delegated R&D with double moral hazard," European Economic Review, Elsevier, vol. 95(C), pages 38-61.
    9. Arnold Chassagnon, 2007. "Regular moral hazard economies," Working Papers halshs-00588317, HAL.
    10. Schmitt, Andre & Spaeter, Sandrine, 2005. "Improving the prevention of environmental risks with convertible bonds," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 637-657, November.
    11. Michael Magill & Martine Quinzii, 2006. "Common Shocks and Relative Compensation," Annals of Finance, Springer, vol. 2(4), pages 407-420, October.
    12. Corrado Benassi, 2011. "A Note on Convex Transformations and the First Order Approach," Working Paper series 06_11, Rimini Centre for Economic Analysis.
    13. Mario Tirelli, 2021. "On the optimal investment finance of small businesses," Small Business Economics, Springer, vol. 56(4), pages 1639-1665, April.
    14. Patrice Loisel, 2013. "Can CDFC and MLRP Conditions Be Both Satisfied for a Given Distribution?," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 7(3), pages 135-145, November.
    15. Hwang, Sunjoo, 2016. "Relational contracts and the first-order approach," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 126-130.
    16. Georges Dionne & Sara Malekan, 2017. "Optimal Form of Retention for Securitized Loans under Moral Hazard," Risks, MDPI, vol. 5(4), pages 1-13, October.
    17. Martine Quinzii & Michael Magill, 1899. "Normative Properties Of Stock Market Equilibrium With Moral Hazard," Working Papers 79, University of California, Davis, Department of Economics.
    18. Kadan, Ohad & Swinkels, Jeroen M., 2013. "Minimum payments and induced effort in moral hazard problems," Games and Economic Behavior, Elsevier, vol. 82(C), pages 468-489.
    19. Kirkegaard, René, 2017. "Moral hazard and the spanning condition without the first-order approach," Games and Economic Behavior, Elsevier, vol. 102(C), pages 373-387.
    20. André SCHMITT & Sandrine SPAETER, 2002. "Improving the Prevention of Environmental Risks with Convertible Bonds," Working Papers of BETA 2002-14, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

  14. DellaVigna, Stefano & LiCalzi, Marco, 2001. "Learning to make risk neutral choices in a symmetric world," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 19-37, January.

    Cited by:

    1. Oyarzun, Carlos & Sarin, Rajiv, 2012. "Mean and variance responsive learning," Games and Economic Behavior, Elsevier, vol. 75(2), pages 855-866.
    2. Oyarzun, Carlos & Sarin, Rajiv, 2013. "Learning and risk aversion," Journal of Economic Theory, Elsevier, vol. 148(1), pages 196-225.
    3. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.
    4. Arvid Hoffmann & Sam Henry & Nikos Kalogeras, 2013. "Aspirations as reference points: an experimental investigation of risk behavior over time," Theory and Decision, Springer, vol. 75(2), pages 193-210, August.
    5. Alanyali, Murat, 2010. "A note on adjusted replicator dynamics in iterated games," Journal of Mathematical Economics, Elsevier, vol. 46(1), pages 86-98, January.
    6. Robert E. Marks, 2014. "Learning to be Risk Averse?," Discussion Papers 2014-10, School of Economics, The University of New South Wales.
    7. David Reitter & Jens Grossklags, 2019. "The Positive Impact of Task Familiarity, Risk Propensity, and Need For Cognition on Observed Timing Decisions in a Security Game," Games, MDPI, vol. 10(4), pages 1-18, December.

  15. Marco LiCalzi, 2000. "Upper and lower bounds for expected utility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(2), pages 489-502, September.

    Cited by:

    1. James Cox & Vjollca Sadiraj & Bodo Vogt & Utteeyo Dasgupta, 2013. "Is there a plausible theory for decision under risk? A dual calibration critique," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 54(2), pages 305-333, October.
    2. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.
    3. Eduardo Zambrano, 2008. "Expected utility inequalities: theory and applications," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 36(1), pages 147-158, July.

  16. Robert Bordley & Marco LiCalzi, 2000. "Decision analysis using targets instead of utility functions," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 23(1), pages 53-74.

    Cited by:

    1. Erio Castagnoli & Marco LiCalzi, 2005. "Benchmarking real-valued acts," Microeconomics 0502001, University Library of Munich, Germany.
    2. Robert F. Bordley & Stephen M. Pollock, 2009. "A Decision-Analytic Approach to Reliability-Based Design Optimization," Operations Research, INFORMS, vol. 57(5), pages 1262-1270, October.
    3. Lucy Gongtao Chen & Daniel Zhuoyu Long & Melvyn Sim, 2015. "On Dynamic Decision Making to Meet Consumption Targets," Operations Research, INFORMS, vol. 63(5), pages 1117-1130, October.
    4. Krzysztof Kontek & Michal Lewandowski, 2018. "Range-Dependent Utility," Management Science, INFORMS, vol. 64(6), pages 2812-2832, June.
    5. Luca Anzilli & Silvio Giove, 2020. "Multi-criteria and medical diagnosis for application to health insurance systems: a general approach through non-additive measures," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 559-582, December.
    6. Gao, Zhifeng & House, Lisa & Bi, Xiang, 2016. "Impact of satisficing behavior in online surveys on consumer preference and welfare estimates," Food Policy, Elsevier, vol. 64(C), pages 26-36.
    7. Mark Schneider & Robert Day, 2018. "Target-Adjusted Utility Functions and Expected-Utility Paradoxes," Management Science, INFORMS, vol. 64(1), pages 271-287, January.
    8. Sergio Ortobelli & Svetlozar Rachev & Haim Shalit & Frank Fabozzi, 2009. "Orderings and Probability Functionals Consistent with Preferences," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(1), pages 81-102.
    9. Wenqing Chen & Melvyn Sim, 2009. "Goal-Driven Optimization," Operations Research, INFORMS, vol. 57(2), pages 342-357, April.
    10. Steven Haberman & Elena Vigna, 2002. "Optimal investment strategies and risk measures in defined contribution pension schemes," ICER Working Papers - Applied Mathematics Series 09-2002, ICER - International Centre for Economic Research.
    11. Dmitriy Volinskiy & Michele Veeman & Wiktor Adamowicz, 2011. "Allocation of public funds to R&D: a portfolio choice-styled decision model and a biotechnology case study," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 34(2), pages 121-139, November.
    12. Yan Li & David Ahlstrom, 2020. "Risk-taking in entrepreneurial decision-making: A dynamic model of venture decision," Asia Pacific Journal of Management, Springer, vol. 37(3), pages 899-933, September.
    13. Robert Bordley & Marco LiCalzi & Luisa Tibiletti, 2014. "A target-based foundation for the "hard-easy effect" bias," Working Papers 23, Department of Management, Università Ca' Foscari Venezia.
    14. Michel Denuit & Louis Eeckhoudt, 2010. "Bivariate Stochastic Dominance and Substitute Risk-(In)dependent Utilities," Decision Analysis, INFORMS, vol. 7(3), pages 302-312, September.
    15. Elena Vigna, 2009. "Mean-variance inefficiency of CRRA and CARA utility functions for portfolio selection in defined contribution pension schemes," Carlo Alberto Notebooks 108, Collegio Carlo Alberto, revised 2009.
    16. Ilia Tsetlin & Robert L. Winkler, 2007. "Decision Making with Multiattribute Performance Targets: The Impact of Changes in Performance and Target Distributions," Operations Research, INFORMS, vol. 55(2), pages 226-233, April.
    17. Lorenzo Bastianello & Marco LiCalzi, 2015. "Target-based solutions for Nash bargaining," Working Papers 5, Department of Management, Università Ca' Foscari Venezia.
    18. Alessandro Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: A Stochastic Optimal Control Approach," Risks, MDPI, vol. 6(2), pages 1-20, April.
    19. David B. Brown & Melvyn Sim, 2009. "Satisficing Measures for Analysis of Risky Positions," Management Science, INFORMS, vol. 55(1), pages 71-84, January.
    20. Manel Baucells & Emanuele Borgonovo, 2013. "Invariant Probabilistic Sensitivity Analysis," Management Science, INFORMS, vol. 59(11), pages 2536-2549, November.
    21. Denuit, Michel M., 2018. "Risk apportionment and multiply monotone targets," Mathematical Social Sciences, Elsevier, vol. 92(C), pages 74-77.
    22. DellaVigna, Stefano & LiCalzi, Marco, 2001. "Learning to make risk neutral choices in a symmetric world," Mathematical Social Sciences, Elsevier, vol. 41(1), pages 19-37, January.
    23. Sean D. Vermillion & Richard J. Malak, 2020. "An investigation on requirement and objective allocation strategies using a principal–agent model," Systems Engineering, John Wiley & Sons, vol. 23(1), pages 100-117, January.
    24. Marco LiCalzi & Annamaria Sorato, 2003. "The Pearson system of utility functions," Game Theory and Information 0311002, University Library of Munich, Germany.
    25. Hong-Bin Yan & Van-Nam Huynh & Yoshiteru Nakamori, 2012. "A group nonadditive multiattribute consumer-oriented Kansei evaluation model with an application to traditional crafts," Annals of Operations Research, Springer, vol. 195(1), pages 325-354, May.
    26. Jeffrey M. Keisler & Robert F. Bordley, 2015. "Project Management Decisions with Uncertain Targets," Decision Analysis, INFORMS, vol. 12(1), pages 15-28, March.
    27. Alessandra Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: a Stochastic Optimal Control Approach," Carlo Alberto Notebooks 553, Collegio Carlo Alberto.
    28. Gerrard, Russell & Haberman, Steven & Vigna, Elena, 2004. "Optimal investment choices post-retirement in a defined contribution pension scheme," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 321-342, October.
    29. Shao-Wei Lam & Tsan Sheng Ng & Melvyn Sim & Jin-Hwa Song, 2013. "Multiple Objectives Satisficing Under Uncertainty," Operations Research, INFORMS, vol. 61(1), pages 214-227, February.
    30. Xinwei Zhang & Qiong Feng & Shurong Tong & Hakki Eres, 2022. "Multilinear target-based decision analysis with hybrid-information targets and performance levels," Fuzzy Optimization and Decision Making, Springer, vol. 21(4), pages 605-647, December.
    31. Sergio Margarita & Luisa Tibiletti & Mariacristina Uberti, 2015. "How does Optimism impact on Entrepreneurs’ Overconfidence?," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 6(3), pages 45-53, September.
    32. Singer, Nico, 2010. "Safety-first portfolio optimization: Fixed versus random target," Thuenen-Series of Applied Economic Theory 113, University of Rostock, Institute of Economics.
    33. David B. Brown & Enrico De Giorgi & Melvyn Sim, 2012. "Aspirational Preferences and Their Representation by Risk Measures," Management Science, INFORMS, vol. 58(11), pages 2095-2113, November.
    34. Ilia Tsetlin & Robert L. Winkler, 2006. "On Equivalent Target-Oriented Formulations for Multiattribute Utility," Decision Analysis, INFORMS, vol. 3(2), pages 94-99, June.
    35. Ali E. Abbas & James E. Matheson, 2005. "Normative target-based decision making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(6), pages 373-385.
    36. Maximilian Zellner & Ali E. Abbas, 2023. "Experimental Assessment of Utility Functions Induced by Fixed and Uncertain Targets," Decision Analysis, INFORMS, vol. 20(3), pages 187-201, September.
    37. Chernonog, Tatyana & Avinadav, Tal, 2014. "Profit criteria involving risk in price setting of virtual products," European Journal of Operational Research, Elsevier, vol. 236(1), pages 351-360.
    38. Rachele Foschi & Fabio Spizzichino, 2012. "Interactions Between Ageing and Risk Properties in the Analysis of Burn-in Problems," Decision Analysis, INFORMS, vol. 9(2), pages 103-118, June.
    39. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    40. Haberman, Steven & Vigna, Elena, 2002. "Optimal investment strategies and risk measures in defined contribution pension schemes," Insurance: Mathematics and Economics, Elsevier, vol. 31(1), pages 35-69, August.
    41. Alessandro Milazzo & Elena Vigna, 2018. "The Italian Pension Gap: a Stochastic Optimal Control Approach," Papers 1804.05354, arXiv.org.
    42. Marco LiCalzi, 2005. "A language for the construction of preferences under uncertainty," Game Theory and Information 0509002, University Library of Munich, Germany.
    43. Elena Vigna, 2009. "Mean-variance inefficiency of CRRA and CARA utility functions for portfolio selection in defined contribution pension schemes," CeRP Working Papers 89, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    44. Ali E. Abbas & James E. Matheson & Robert F. Bordley, 2009. "Effective utility functions induced by organizational target-based incentives," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 235-251.
    45. Shelly Srivastava & Supriyo Roy, 2023. "Impact of Equity Investment Intention Towards Behaviour: An Empirical Analysis," Vision, , vol. 27(3), pages 329-346, June.
    46. Berg, Nathan & Prakhya, Srinivas & Ranganathan, Kavitha, 2018. "A satisficing approach to eliciting risk preferences," Journal of Business Research, Elsevier, vol. 82(C), pages 127-140.
    47. Bordley, Robert F., 2005. "Econophysics and individual choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 479-495.
    48. Enrico G. De Giorgi & David B. Brown & Melvyn Sim, 2010. "Dual representation of choice and aspirational preferences," University of St. Gallen Department of Economics working paper series 2010 2010-07, Department of Economics, University of St. Gallen.
    49. Enrico Diecidue & Jeroen Van De Ven, 2008. "Aspiration Level, Probability Of Success And Failure, And Expected Utility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 683-700, May.
    50. Bordley, Robert F. & Pollock, Stephen M., 2012. "Assigning resources and targets to an organization’s activities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 752-761.
    51. Fu, Qi, 2015. "The impact of alternative performance measures on portfolio procurement with contingent option contracts," International Journal of Production Economics, Elsevier, vol. 167(C), pages 128-138.
    52. Denuit, Michel, 2016. "Risk Apportionment and Multiply Monotone Targets," LIDAM Discussion Papers ISBA 2016044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    53. Avinadav, Tal & Chernonog, Tatyana & Perlman, Yael, 2014. "Analysis of protection and pricing strategies for digital products under uncertain demand," International Journal of Production Economics, Elsevier, vol. 158(C), pages 54-64.

  17. LiCalzi, Marco, 1998. "Variations on the measure representation approach," Journal of Mathematical Economics, Elsevier, vol. 29(3), pages 255-269, April.

    Cited by:

    1. Erio Castagnoli & Marco LiCalzi, 2005. "Benchmarking real-valued acts," Microeconomics 0502001, University Library of Munich, Germany.

  18. LiCalzi Marco, 1995. "Fictitious Play by Cases," Games and Economic Behavior, Elsevier, vol. 11(1), pages 64-89, October.
    See citations under working paper version above.

Chapters

  1. Robert Bordley & Marco Licalzi & Luisa Tibiletti, 2017. "A Target-Based Foundation for the “Hard-Easy Effect” Bias," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Country Experiences in Economic Development, Management and Entrepreneurship, pages 659-671, Springer.
    See citations under working paper version above.
  2. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    See citations under working paper version above.
  3. Roberto Cervone & Stefano Galavotti & Marco LiCalzi, 2009. "Symmetric Equilibria in Double Auctions with Markdown Buyers and Markup Sellers," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 81-92, Springer.
    See citations under working paper version above.
  4. Marco LiCalzi & Paolo Pellizzari, 2008. "Zero-Intelligence Trading Without Resampling," Lecture Notes in Economics and Mathematical Systems, in: Klaus Schredelseker & Florian Hauser (ed.), Complexity and Artificial Markets, chapter 1, pages 3-14, Springer.
    See citations under working paper version above.
  5. Marco LiCalzi & Paolo Pellizzari, 2007. "Which Market Protocols Facilitate Fair Trading?," Lecture Notes in Economics and Mathematical Systems, in: Andrea Consiglio (ed.), Artificial Markets Modeling, chapter 6, pages 81-97, Springer.
    See citations under working paper version above.
  6. Marco LiCalzi & Paolo Pellizzari, 2006. "The Allocative Effectiveness of Market Protocols Under Intelligent Trading," Lecture Notes in Economics and Mathematical Systems, in: Charlotte Bruun (ed.), Advances in Artificial Economics, chapter 2, pages 17-29, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

  1. Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), 2010. "Progress in Artificial Economics," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-13947-5, December.

    Cited by:

    1. Friederike Wall, 2017. "Learning To Incentivize In Different Modes Of Coordination," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(02n03), pages 1-29, March.
    2. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    3. Bin-Tzong Chie & Shu-Heng Chen, 2014. "Non-Price Competition in a Modular Economy," ASSRU Discussion Papers 1401, ASSRU - Algorithmic Social Science Research Unit.
    4. Kristian Strmenik & Friederike Wall & Christian Mitsch & Gernot Mödritscher, 2021. "Volume allocation in multi-sourcing: effects of the quantity–quality trade-off," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 753-771, June.
    5. Heinrich, Torsten, 2015. "Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis," MPRA Paper 79575, University Library of Munich, Germany, revised 08 Jun 2017.
    6. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
    7. Florian Hauser & Jürgen Huber & Bob Kaempff, 2015. "Costly Information in Markets with Heterogeneous Agents: A Model with Genetic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 205-229, August.
    8. Moussa Larbani & Po Lung Yu, 2012. "Decision Making and Optimization in Changeable Spaces, a New Paradigm," Journal of Optimization Theory and Applications, Springer, vol. 155(3), pages 727-761, December.
    9. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    10. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    11. Leitner, Stephan & Rausch, Alexandra & Behrens, Doris A., 2017. "Distributed investment decisions and forecasting errors: An analysis based on a multi-agent simulation model," European Journal of Operational Research, Elsevier, vol. 258(1), pages 279-294.
    12. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    13. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

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