IDEAS home Printed from https://ideas.repec.org/f/pma271.html
   My authors  Follow this author

Robert Ernest Marks

Personal Details

First Name:Robert
Middle Name:Ernest
Last Name:Marks
Suffix:
RePEc Short-ID:pma271
[This author has chosen not to make the email address public]
http://www.agsm.edu.au/bobm
Terminal Degree:1978 Department of Engineering-Economic Systems and Operations Research; Stanford University (from RePEc Genealogy)

Affiliation

(95%) School of Economics
UNSW Business School
UNSW (Australia)

Sydney, Australia
http://www.economics.unsw.edu.au/

: (+61)-2-9385-3380
+61)-2- 9313- 6337
Australian School of Business Building, Sydney 2052
RePEc:edi:senswau (more details at EDIRC)

(5%) Economics Cluster
Australian Graduate School of Management
UNSW (Australia)

Sydney, Australia
http://www2.agsm.edu.au/agsm/web.nsf/Content/Faculty-Economics

: +61 2 9931 9200
+61 2 9662 1695
SYDNEY, NSW 2052
RePEc:edi:ecnswau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters Books

Working papers

  1. Robert E. Marks, 2014. "Learning to be Risk Averse?," Discussion Papers 2014-10, School of Economics, The University of New South Wales.
  2. Robert E. Marks, 2013. "The Satisficer’s Curse," Discussion Papers 2013-28, School of Economics, The University of New South Wales.
  3. Arthur Ramer & Robert E. Marks, 2013. "Constructive Representation of Trust: Single Rule Paradigm," Discussion Papers 2013-31, School of Economics, The University of New South Wales.
  4. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
  5. Robert E. Marks, 2013. "Increasing Marginal Revenue and Demand Elasticity," Discussion Papers 2013-27, School of Economics, The University of New South Wales.
  6. David F. Midgley & Robert E. Marks & Lee G. Cooper, 1995. "Breeding Competitive Strategies," Working Papers 95-06-052, Santa Fe Institute.
  7. Albert E. Marks & David F. Midgley & Lee G. Cooper, "undated". "Refining the Breeding of Hybrid Strategies," Computing in Economics and Finance 1997 42, Society for Computational Economics.
  8. Robert E. Marks, "undated". "Evolved Perception and Behaviour in Oligopolies," Computing in Economics and Finance 1996 _038, Society for Computational Economics.

Articles

  1. Held, Fabian P. & Wilkinson, Ian F. & Marks, Robert E. & Young, Louise, 2014. "Agent-based Modelling, a new kind of research," Australasian marketing journal, Elsevier, vol. 22(1), pages 4-14.
  2. Anthony Lawrance & Robert Marks, 2008. "Firm size distributions in an industry with constrained resources," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1595-1607.
  3. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
  4. Midgley, David & Marks, Robert & Kunchamwar, Dinesh, 2007. "Building and assurance of agent-based models: An example and challenge to the field," Journal of Business Research, Elsevier, vol. 60(8), pages 884-893, August.
  5. Robert E. Marks, 2004. "Avoiding Front-Runner's Bias," Australian Journal of Management, Australian School of Business, vol. 29(1), pages 35-38, June.
  6. Robert E. Marks, 2000. "New Products, New Firms, and Prices," Australian Journal of Management, Australian School of Business, vol. 25(1), pages 1-1, June.
  7. Marks, Robert, 1998. "Evolved perception and behaviour in oligopolies," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1209-1233, August.
  8. David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997. "Breeding Competitive Strategies," Management Science, INFORMS, vol. 43(3), pages 257-275, March.
  9. Marks, Robert E. & Swan, Peter L., 1993. "Exhaustibility and the reserves/production ratio," Economics Letters, Elsevier, vol. 42(1), pages 117-119.
  10. Marks, Robert E., 1993. "Modelling heterogeneous inputs," Economics Letters, Elsevier, vol. 42(2-3), pages 167-171.
  11. Marks, R E, 1992. "Breeding Hybrid Strategies: Optimal Behaviour for Oligopolists," Journal of Evolutionary Economics, Springer, vol. 2(1), pages 17-38, March.
  12. Robert E. Marks & Peter L. Swan & Peter McLennan & Richard Schodde & Peter B. Dixon & David T. Johnson, 1991. "The Cost of Australian Carbon Dioxide Abatement," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-152.
  13. Robert E. Marks, 1991. "What Price Prohibition? An Estimate of the Costs of Australian Drug Policy," Australian Journal of Management, Australian School of Business, vol. 16(2), pages 187-212, December.
  14. Robert Marks, 1987. "On Redesigning an Academic Journal," Australian Journal of Management, Australian School of Business, vol. 12(2), pages 149-157, December.
  15. Robert Marks & Peter Watt & Philip Yetton, 1981. "GMAT Scores and Performance: Selecting Students into a Graduate Management School," Australian Journal of Management, Australian School of Business, vol. 6(2), pages 81-102, December.
  16. Robert E. Marks, 1980. "The Value of “Almost†Perfect Weather Information to the Australian Tertiary Sector," Australian Journal of Management, Australian School of Business, vol. 5(1-2), pages 67-85, April.

Chapters

  1. Marks, Robert, 2006. "Market Design Using Agent-Based Models," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 27, pages 1339-1380 Elsevier.
  2. Xiang Kong & Robert E. Marks & Guang-Hua Wan, 2000. "Productive performance of Chinese state-owned enterprises in the early 1990s: a stochastic production frontier and Malmquist productivity index analysis," Chapters,in: China in the Global Economy, chapter 5 Edward Elgar Publishing.

Books

  1. Barnett,William A. & Chiarella,Carl & Keen,Steve & Marks,Robert & Schnabl,Hermann (ed.), 2008. "Commerce, Complexity, and Evolution," Cambridge Books, Cambridge University Press, number 9780521088213.
  2. Barnett,William A. & Chiarella,Carl & Keen,Steve & Marks,Robert & Schnabl,Hermann (ed.), 2000. "Commerce, Complexity, and Evolution," Cambridge Books, Cambridge University Press, number 9780521620307.

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. David F. Midgley & Robert E. Marks & Lee G. Cooper, 1995. "Breeding Competitive Strategies," Working Papers 95-06-052, Santa Fe Institute.

    Cited by:

    1. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    2. Marks, Robert, 1998. "Evolved perception and behaviour in oligopolies," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1209-1233, August.
    3. Malgorzata Latuszynska & Agata Wawrzyniak & Barbara Wasikowska & Fatimah Furaji, 2012. "Application of rough sets to identify the behavior rules of consumer for the purposes of multi-agent simulation model (Zastosowanie zbiorow przyblizonych do wykrywania regul zachowania konsumentow na ," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(38), pages 104-123.
    4. Augusto Rupérez Micola & Albert Banal Estañol & Derek W. Bunn, 2006. "Incentives and Coordination in Vertically Related Energy Markets," CIG Working Papers SP II 2006-02, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    5. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    6. Geoffrey Hodgson & Thorbjoern Knudsen, 2012. "Agreeing on generalised Darwinism: a response to Pavel Pelikan," Journal of Evolutionary Economics, Springer, vol. 22(1), pages 9-18, January.
    7. Keen, Steve, 2003. "Standing on the toes of pygmies:," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 108-116.
    8. K. Sudhir, 2001. "Structural Analysis of Manufacturer Pricing in the Presence of a Strategic Retailer," Marketing Science, INFORMS, vol. 20(3), pages 244-264, October.
    9. Ladley, Daniel & Wilkinson, Ian & Young, Louise, 2015. "The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach," Journal of Business Research, Elsevier, vol. 68(11), pages 2412-2425.
    10. Fish, Kelly E. & Johnson, John D. & Dorsey, Robert E. & Blodgett, Jeffery G., 2004. "Using an artificial neural network trained with a genetic algorithm to model brand share," Journal of Business Research, Elsevier, vol. 57(1), pages 79-85, January.
    11. Klemz, Bruce R., 1999. "Using genetic algorithms to assess the impact of pricing activity timing," Omega, Elsevier, vol. 27(3), pages 363-372, June.
    12. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters,in: Evolution, Organization and Economic Behavior, chapter 6 Edward Elgar Publishing.
    13. Gruca, Thomas S. & Klemz, Bruce R., 2003. "Optimal new product positioning: A genetic algorithm approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 621-633, May.
    14. Javier García & Fernando Borrajo & Fernando Fernández, 2012. "Reinforcement Learning For Decision-Making In A Business Simulator," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 935-960.
    15. Butel, Lynne & Watkins, Alison, 2000. "Evolving Complex Organizational Structures in New and Unpredictable Environments," Journal of Business Research, Elsevier, vol. 47(1), pages 27-33, January.
    16. Rajkumar Venkatesan & Trichy V. Krishnan & V. Kumar, 2004. "Evolutionary Estimation of Macro-Level Diffusion Models Using Genetic Algorithms: An Alternative to Nonlinear Least Squares," Marketing Science, INFORMS, vol. 23(3), pages 451-464, August.
    17. Tay, Nicholas S.P. & Lusch, Robert F., 2005. "A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments," Journal of Business Research, Elsevier, vol. 58(9), pages 1155-1168, September.
    18. Chih-Chi Ni & Shu-Heng Chen, 1999. "Simulating the Ecology of Oligopoly Games with Genetic Algorithms," Computing in Economics and Finance 1999 1012, Society for Computational Economics.
    19. Fernando S. Oliveira & Derek W. Bunn & London Business School, 2006. "Modeling the strategic trading of electricity assets," Computing in Economics and Finance 2006 235, Society for Computational Economics.
    20. Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
    21. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
    22. Zheng, Weimin & Liao, Zhixue & Qin, Jing, 2017. "Using a four-step heuristic algorithm to design personalized day tour route within a tourist attraction," Tourism Management, Elsevier, vol. 62(C), pages 335-349.
    23. Daniel Ladley & Ian Wilkinson & Louise Young, 2013. "The Evolution Of Cooperation In Business: Individual Vs. Group Incentives," Discussion Papers in Economics 13/14, Department of Economics, University of Leicester.

  2. Robert E. Marks, "undated". "Evolved Perception and Behaviour in Oligopolies," Computing in Economics and Finance 1996 _038, Society for Computational Economics.

    Cited by:

    1. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
    2. Jasmina Arifovic & Alexander Karaivanov, 2007. "Learning by Doing vs. Learning from Others in a Principal-Agent Model," Discussion Papers dp07-24, Department of Economics, Simon Fraser University.

Articles

  1. Held, Fabian P. & Wilkinson, Ian F. & Marks, Robert E. & Young, Louise, 2014. "Agent-based Modelling, a new kind of research," Australasian marketing journal, Elsevier, vol. 22(1), pages 4-14.

    Cited by:

    1. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.

  2. Anthony Lawrance & Robert Marks, 2008. "Firm size distributions in an industry with constrained resources," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1595-1607.

    Cited by:

    1. Murat ATAN & Emre BOZDAĞ, 2011. "Avrupa Karbonatlı İçecekler Piyasasında Firma Büyüklüğü Ve Büyüklük Genişleme Oranı İlişkisi," Ekonomik Yaklasim, Ekonomik Yaklasim Association, vol. 22(80), pages 19-38.

  3. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.

    Cited by:

    1. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    2. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.
    3. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," Caepr Working Papers 2008-010, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    4. David C. Earnest & Ian F. Wilkinson, 2018. "An agent based model of the evolution of supplier networks," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 112-144, March.

  4. Midgley, David & Marks, Robert & Kunchamwar, Dinesh, 2007. "Building and assurance of agent-based models: An example and challenge to the field," Journal of Business Research, Elsevier, vol. 60(8), pages 884-893, August.

    Cited by:

    1. Breukers, Yorick & de Reuver, Mark & Oey, Michel & Bouwman, Harry, 2015. "Mobile data offloading: an agent-based modelling study on the effectiveness of Wi-Fi offloading," 26th European Regional ITS Conference, Madrid 2015 127129, International Telecommunications Society (ITS).
    2. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    3. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    4. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    5. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona Graduate School of Economics.
    6. Busby, J.S. & Onggo, B.S.S. & Liu, Y., 2016. "Agent-based computational modelling of social risk responses," European Journal of Operational Research, Elsevier, vol. 251(3), pages 1029-1042.
    7. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    8. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    9. 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.
    10. Oliver Baumann, 2015. "Models of complex adaptive systems in strategy and organization research," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 169-183, November.
    11. Moore, Kevin & Smallman, Clive & Wilson, Jude & Simmons, David, 2012. "Dynamic in-destination decision-making: An adjustment model," Tourism Management, Elsevier, vol. 33(3), pages 635-645.
    12. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica
      [A simple spatial economic model: a proposal]
      ," MPRA Paper 67005, University Library of Munich, Germany.
    13. Dirk Heyne & Lars Mönch, 2011. "An agent-based planning approach within the framework of distributed hierarchical enterprise management," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(2), pages 205-236, December.
    14. Weidlich Anke & Veit Daniel, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 149-172, April.
    15. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
    16. 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.
    17. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
    18. 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.
    19. Sen, Burak & Noori, Mehdi & Tatari, Omer, 2017. "Will Corporate Average Fuel Economy (CAFE) Standard help? Modeling CAFE's impact on market share of electric vehicles," Energy Policy, Elsevier, vol. 109(C), pages 279-287.

  5. Marks, Robert, 1998. "Evolved perception and behaviour in oligopolies," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1209-1233, August.
    See citations under working paper version above.
  6. David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997. "Breeding Competitive Strategies," Management Science, INFORMS, vol. 43(3), pages 257-275, March.
    See citations under working paper version above.
  7. Marks, R E, 1992. "Breeding Hybrid Strategies: Optimal Behaviour for Oligopolists," Journal of Evolutionary Economics, Springer, vol. 2(1), pages 17-38, March.

    Cited by:

    1. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
    2. Tesfatsion, Leigh S., 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Staff General Research Papers Archive 1199, Iowa State University, Department of Economics.
    3. Kellermann, Konrad & Balmann, Alfons, 2006. "How Smart Should Farms Be Modeled? Behavioral Foundation of Bidding Strategies in Agent-Based Land Market Models," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25446, International Association of Agricultural Economists.
    4. Cacho, Oscar J. & Simmons, Phil, 1999. "A genetic algorithm approach to farm investment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), September.
    5. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    6. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    7. Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    8. Tesfatsion, Leigh, 1997. "How Economists Can Get Alife," Staff General Research Papers Archive 1685, Iowa State University, Department of Economics.
    9. Christos Ioannou, 2014. "Coevolution of finite automata with errors," Journal of Evolutionary Economics, Springer, vol. 24(3), pages 541-571, July.
    10. Cariola, Monica, 1999. "A high-potential sector: titanium metal: Oligopolistic policies and technological constraints as main limits to its development," Resources Policy, Elsevier, vol. 25(3), pages 151-159, September.
    11. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    12. Herbert Dawid & Philipp Harting, 2012. "Capturing Firm Behavior in Agent-based Models of Industry Evolution and Macroeconomic Dynamics," Chapters,in: Evolution, Organization and Economic Behavior, chapter 6 Edward Elgar Publishing.
    13. Tomas Klos, "undated". "Decentralized Interaction and Co-adaptation in the Repeated Prisoner's Dilemma," Computing in Economics and Finance 1997 88, Society for Computational Economics.
    14. Riechmann, Thomas, 2001. "Genetic algorithm learning and evolutionary games," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 1019-1037, June.
    15. Robert Hoffmann, 1999. "The Independent Localisations of Interaction and Learning in the Repeated Prisoner's Dilemma," Theory and Decision, Springer, vol. 47(1), pages 57-72, August.
    16. Tony Curson Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Levine's Working Paper Archive 588, David K. Levine.
    17. Waltman, L. & van Eck, N.J.P., 2009. "A Mathematical Analysis of the Long-run Behavior of Genetic Algorithms for Social Modeling," ERIM Report Series Research in Management ERS-2009-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
    19. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".

  8. Robert E. Marks & Peter L. Swan & Peter McLennan & Richard Schodde & Peter B. Dixon & David T. Johnson, 1991. "The Cost of Australian Carbon Dioxide Abatement," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 135-152.

    Cited by:

    1. Philip D. Adams & Brian R. Parmenter & George Verikios, 2014. "An Emissions Trading Scheme for Australia: National and Regional Impacts," Centre of Policy Studies/IMPACT Centre Working Papers g-243, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. William B. O'Neil & Doria Polanía, 1993. "Impacto de un impuesto al carbono en el sector energético," COYUNTURA ECONÓMICA, FEDESARROLLO, vol. 23(4), pages 123-135, December.
    3. Adams, Philip D. & Parmenter, Brian R., 2013. "Computable General Equilibrium Modeling of Environmental Issues in Australia," Handbook of Computable General Equilibrium Modeling, Elsevier.

  9. Robert E. Marks, 1980. "The Value of “Almost†Perfect Weather Information to the Australian Tertiary Sector," Australian Journal of Management, Australian School of Business, vol. 5(1-2), pages 67-85, April.

    Cited by:

    1. Byerlee, Derek R. & Anderson, Jock R., 1982. "Risk, Utility and the Value of Information in Farmer Decision Making," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 50(03), December.
    2. Kwabena Asomanin Anaman & Ruth Quaye & Bernice Owusu-Brown, 2017. "Benefits of Aviation Weather Services: A Review of International Literature," Research in World Economy, Research in World Economy, Sciedu Press, vol. 8(1), pages 45-58, June.

Chapters

  1. Marks, Robert, 2006. "Market Design Using Agent-Based Models," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 27, pages 1339-1380 Elsevier.

    Cited by:

    1. John J. Nay & Yevgeniy Vorobeychik, 2016. "Predicting Human Cooperation," Papers 1601.07792, arXiv.org, revised Apr 2016.
    2. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    3. Filatova, Tatiana & Parker, Dawn Cassandra & van der Veen, Anne, 2011. "The Implications of Skewed Risk Perception for a Dutch Coastal Land Market: Insights from an Agent-Based Computational Economics Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), December.
    4. Steven Kimbrough & Frederic Murphy, 2009. "Learning to Collude Tacitly on Production Levels by Oligopolistic Agents," Computational Economics, Springer;Society for Computational Economics, vol. 33(1), pages 47-78, February.
    5. Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 265-290, October.
    6. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona Graduate School of Economics.
    7. Banal-Estañol, Albert & Rupérez Micola, Augusto, 2011. "Behavioural simulations in spot electricity markets," European Journal of Operational Research, Elsevier, vol. 214(1), pages 147-159, October.
    8. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    9. Block, C. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Herbert Dawid & Joern Dermietzel, 2006. "How Robust is the Equal Split Norm? Responsive Strategies, Selection Mechanisms and the Need for Economic Interpretation of Simulation Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 371-397, November.
    11. Rich, Karl M. & Baker, Derek & Negassa, Asfaw & Ross, R. Brent, 2009. "Concepts, applications, and extensions of value chain analysis to livestock systems in developing countries," 2009 Conference, August 16-22, 2009, Beijing, China 51922, International Association of Agricultural Economists.

Books

    Sorry, no citations of books recorded.

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 5 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-CMP: Computational Economics (1) 2013-11-29
  2. NEP-ICT: Information & Communication Technologies (1) 2013-11-29
  3. NEP-MIC: Microeconomics (1) 2013-11-02
  4. NEP-ORE: Operations Research (1) 2013-11-29
  5. NEP-SOC: Social Norms & Social Capital (1) 2013-11-29
  6. NEP-UPT: Utility Models & Prospect Theory (1) 2014-03-22

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Robert Ernest Marks should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.