This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Use of Simulations in Developing Robust Knowledge about Causal Processes: Methodological Considerations and an Application to Industrial Evolution

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Johann Peter Murmann
Thomas Brenner

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

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.

Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2003 with number 66.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 01 Aug 2003
Date of revision:
Handle: RePEc:sce:scecf3:66

Contact details of provider:
Email:
Web page: http://comp-econ.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: simulation experiments; evolution of industries;

Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
D20 - Microeconomics - - Production and Organizations - - - General

Cited by:
(explanations, 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.)

  1. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
  2. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer, vol. 30(3), pages 227-244, October. [Downloadable!] (restricted)
  3. T. Brenner & C. Werker, 2006. "A Practical Guide to Inference in Simulation Models," Papers on Economics and Evolution 2006-02, Max Planck Institute of Economics, Evolutionary Economics Group.
  4. Werker, C. & Brenner, T., 2004. "Empirical calibration of simulation models," ECIS Working Papers 04.13, Eindhoven Centre for Innovation Studies, Eindhoven University of Technology. [Downloadable!]
    Other versions:
  5. 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, vol. 30(3), pages 195-226, October. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? About 2700 working paper series are listed on RePEc.

This page was last updated on 2009-11-6.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.