A Practical Guide to Inference in Simulation Models
AbstractThis paper introduces a categorization of simulation models. It provides an explicit overview of the steps that lead to a simulation model. We highlight the advantages and disadvantages of various simulation approaches by examining how they advocate different ways of constructing simulation models. To this end, it discusses a number of relevant methodological issues, such as how realistic simulation models are obtained and which kinds of inference can be used in a simulation approach. Finally, the paper presents a practical guide on how simulation should and can be conducted.
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Bibliographic InfoPaper provided by Max Planck Institute of Economics, Evolutionary Economics Group in its series Papers on Economics and Evolution with number 2006-02.
Length: 33 pages
Date of creation: Mar 2006
Date of revision:
Find related papers by JEL classification:
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
- B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Institutional; Evolutionary
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-03-25 (All new papers)
- NEP-CBE-2006-03-25 (Cognitive & Behavioural Economics)
- NEP-CMP-2006-03-25 (Computational Economics)
- NEP-ECM-2006-03-25 (Econometrics)
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- Claudia Werker & Thomas Brenner, 2004.
"Empirical Calibration of Simulation Models,"
Papers on Economics and Evolution
2004-10, Max Planck Institute of Economics, Evolutionary Economics Group.
- Werker, C. & Brenner, T., 2004. "Empirical calibration of simulation models," Eindhoven Center for Innovation Studies (ECIS) working paper series 04.13, Eindhoven Center for Innovation Studies (ECIS).
- Thomas Brenner & Claudia Werker, 2004. "Empirical Calibration of Simulation Models," Computing in Economics and Finance 2004 89, Society for Computational Economics.
- Giorgio Fagiolo & Giovanni Dosi, 2002.
"Exploitation, Exploration and Innovation in a Model of Endogenous Growth with Locally interacting Agents,"
LEM Papers Series
2002/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- 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.
- 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.
- Sidney G. Winter & Yuri M. Kaniovski & Giovanni Dosi, 2003. "A Baseline Model of Industry Evolution," LEM Papers Series 2003/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- S.G. Winter & Y.M. Kaniovski & G. Dosi, 1997. "A Baseline Model of Industry Evolution," Working Papers ir97013, International Institute for Applied Systems Analysis.
- 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 229-43, May.
- Eliasson, Gunnar & Johansson, Dan & Taymaz, Erol, 2004.
"Simulating the New Economy,"
Ratio Working Papers
52, The Ratio Institute.
- Creedy, John & Duncan, Alan, 2002. " Behavioural Microsimulation with Labour Supply Responses," Journal of Economic Surveys, Wiley Blackwell, vol. 16(1), pages 1-39, February.
- 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.
- 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.
- Robert Marks, 2007. "Validating Simulation Models: A General Framework and Four Applied Examples," Computational Economics, Society for Computational Economics, vol. 30(3), pages 265-290, October.
- Prof John Foster, 2007. "A micro-meso-macro perspective on the methodology of evolutionary economics: integrating history, simulation and econometrics," Discussion Papers Series 343, School of Economics, University of Queensland, Australia.
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