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A Taxonomy of Inference in Simulation Models

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  • Thomas Brenner

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  • Claudia Werker

Abstract

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Suggested Citation

  • Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
  • Handle: RePEc:kap:compec:v:30:y:2007:i:3:p:227-244
    DOI: 10.1007/s10614-007-9102-6
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    References listed on IDEAS

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    1. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    2. O'Donoghue, Cathal & Sutherland, Holly, 1999. "Accounting for the Family in European Income Tax Systems," Cambridge Journal of Economics, Oxford University Press, vol. 23(5), pages 565-598, September.
    3. Atkinson, Tony, et al, 2002. "Microsimulation of Social Policy in the European Union: Case Study of a European Minimum Pension," Economica, London School of Economics and Political Science, vol. 69(274), pages 229-243, May.
    4. Johann Peter Murmann & Thomas Brenner, 2003. "The Use of Simulations in Developing Robust Knowledge about Causal Processes: Methodological Considerations and an Application to Industrial Evolution," Computing in Economics and Finance 2003 66, Society for Computational Economics.
    5. Fagiolo, Giorgio & Dosi, Giovanni, 2003. "Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 237-273, September.
    6. Sune Karlsson & Tor Jacobson, 2004. "Finding good predictors for inflation: a Bayesian model averaging approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 479-496.
    7. Markus Jochmann & Roberto León-González, 2004. "Estimating the demand for health care with panel data: a semiparametric Bayesian approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1003-1014.
    8. J. Richard Harrison, 2004. "Models of growth in organizational ecology: a simulation assessment," Industrial and Corporate Change, Oxford University Press, vol. 13(1), pages 243-261, February.
    9. Claudia Werker & Thomas Brenner, 2004. "Empirical Calibration of Simulation Models," Papers on Economics and Evolution 2004-10, Philipps University Marburg, Department of Geography.
    10. Windrum, Paul & Birchenhall, Chris, 1998. "Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning," Structural Change and Economic Dynamics, Elsevier, vol. 9(1), pages 109-134, March.
    11. Creedy, John & Duncan, Alan, 2002. " Behavioural Microsimulation with Labour Supply Responses," Journal of Economic Surveys, Wiley Blackwell, vol. 16(1), pages 1-39, February.
    12. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press, vol. 8(1), pages 3-40, March.
    13. Werker, Claudia, 2000. "Market performance and competition: A product life cycle model," Wirtschaftswissenschaftliche Diskussionspapiere 10/2000, University of Greifswald, Faculty of Law and Economics.
    14. Scott Moss & Bruce Edmonds, 2005. "Towards Good Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-13.
    15. Sylvia Kaufmann, 2000. "Measuring business cycles with a dynamic Markov switching factor model: an assessment using Bayesian simulation methods," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 39-65.
    16. Sidney Winter & Yuri Kaniovski & Giovanni Dosi, 2003. "A baseline model of industry evolution," Journal of Evolutionary Economics, Springer, vol. 13(4), pages 355-383, October.
    17. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    18. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    19. Andrew Brown & Gary Slater & David A. Spencer, 2002. "Driven to abstraction? Critical realism and the search for the 'inner connection' of social phenomena," Cambridge Journal of Economics, Oxford University Press, vol. 26(6), pages 773-788, November.
    20. Eliasson, Gunnar & Johansson, Dan & Taymaz, Erol, 2004. "Simulating the New Economy," Structural Change and Economic Dynamics, Elsevier, vol. 15(3), pages 289-314, September.
    21. Franco Malerba & Luigi Orsenigo, 2002. "Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model," Industrial and Corporate Change, Oxford University Press, vol. 11(4), pages 667-703, August.
    22. Tsionas, Efthymios G., 2000. "Bayesian model comparison by Markov chain simulation: Illustration using stock market data," Research in Economics, Elsevier, vol. 54(4), pages 403-416, December.
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    Cited by:

    1. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "The microfoundations of business cycles: an evolutionary, multi-agent model," Journal of Evolutionary Economics, Springer, vol. 18(3), pages 413-432, August.
    2. 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.

    More about this item

    Keywords

    Methodology; Simulation models; Theory; Empirical data; B41; B52; C63;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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