Advanced Search
MyIDEAS: Login

A Practical Guide to Inference in Simulation Models

Contents:

Author Info

  • Thomas Brenner
  • Claudia Werker

Abstract

This 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.

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Paper provided by Max Planck Institute of Economics, Evolutionary Economics Group in its series Papers on Economics and Evolution with number 2006-02.

as in new window
Length: 33 pages
Date of creation: Mar 2006
Date of revision:
Handle: RePEc:esi:evopap:2006-02

Contact details of provider:
Postal: Kahlaische Strasse 10, D-07745 Jena
Phone: +49-3641-68 65
Fax: +49-3641-68 69 90
Web page: http://www.econ.mpg.de/
More information through EDIRC

Order Information:
Email:
Web: http://www.econ.mpg.de/english/research/EVO/discuss.php

Related research

Keywords: Methodology; Simulation Models; Practical Guide;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. 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.
  2. Werker, C. & Brenner, T., 2004. "Empirical calibration of simulation models," Working Papers 04.13, Eindhoven Center for Innovation Studies.
  3. 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.
  4. Eliasson, Gunnar & Johansson, Dan & Taymaz, Erol, 2004. "Simulating the New Economy," Ratio Working Papers 52, The Ratio Institute.
  5. 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.
  6. Creedy, John & Duncan, Alan, 2002. " Behavioural Microsimulation with Labour Supply Responses," Journal of Economic Surveys, Wiley Blackwell, vol. 16(1), pages 1-39, February.
  7. 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.
  8. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. 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.
  2. Robert E. Marks, 2013. "Validation and Functional Complexity," Discussion Papers 2013-30, School of Economics, The University of New South Wales.
  3. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:esi:evopap:2006-02. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karin Serfling).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

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