Exploring a New ExpAce: The Complementarities between Experimental Economics and Agent-based Computational Economics
Download full text from publisher
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Shachat, Jason & Swarthout, J. Todd, 2012.
"Learning about learning in games through experimental control of strategic interdependence,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 36(3), pages 383-402.
- Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
- Jason Shachat & J. Todd Swarthout, 2011. "Learning about learning in games through experimental control of strategic interdependence," Working Papers 1103, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 28 Apr 2011.
- Jason Shachat & J. Todd Swarthout, 2003. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental 0310003, EconWPA.
- Jason Shachat & J. Todd Swarthout, 2013. "Learning about learning in games through experimental control of strategic interdependence," WISE Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
- Grazzini, J., 2011. "Experimental Based, Agent Based Stock Market," CeNDEF Working Papers 11-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
More about this item
KeywordsExperimental Economics; Agent-based Computational Economics; Agent-Based Models; Simulation.;
- B4 - Schools of Economic Thought and Methodology - - Economic Methodology
- C9 - Mathematical and Quantitative Methods - - Design of Experiments
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2007-04-28 (All new papers)
- NEP-CBE-2007-04-28 (Cognitive & Behavioural Economics)
- NEP-CMP-2007-04-28 (Computational Economics)
- NEP-EXP-2007-04-28 (Experimental Economics)
- NEP-HPE-2007-04-28 (History & Philosophy of Economics)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cca:wplabo:45. 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: (Giovanni Bert). General contact details of provider: http://edirc.repec.org/data/fccaait.html .
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.
We have no references for this item. You can help adding them by using 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 RePEc Author Service 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.