Programming for Experimental Economics: Introducing CORAL - a lightweight framework for experimental economic experiments
AbstractThe field of experimental economics is past its 50th anniversary and is celebrating its 2nd Nobel prize winner. By far the largest number of economic experiments are now conducted in computer labs, although there is a wide array of settings, ranging from pen-and-paper to elaborate field settings. The controlled environment of the computer lab remains a strong foothold for experimental research. On top of the high level of control, including the standardisation of recruitment protocol and software used, the ease of data collection singles out the lab environment as a key instrument for the testing of economic theory and market mechanics. A number of tools and procedures have developed over the recent decades shaping how experiments are conducted. Z-tree (Fischbacher, 2007) has been established as the quasi-standard tool to conduct experiments. This paper introduces a novel view on how to approach programming for experiments, specifically it introduces a number of innovations from professional software development into the programming of economic experiments. Finally the lightweight experimental software framework CORAL will be introduced.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by QUT Business School in its series QuBE Working Papers with number 016.
Date of creation: 12 Jun 2013
Date of revision:
Contact details of provider:
Web page: http://www.qut.edu.au/research/research-projects/queensland-behavioural-economics-group-qube
Experimental Economics; Programming; CORAL;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-05 (All new papers)
- NEP-CBE-2013-07-05 (Cognitive & Behavioural Economics)
- NEP-EXP-2013-07-05 (Experimental Economics)
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.:
- Hey, John D & Orme, Chris, 1994. "Investigating Generalizations of Expected Utility Theory Using Experimental Data," Econometrica, Econometric Society, vol. 62(6), pages 1291-1326, November.
- Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dipa Sarkar).
If references are entirely missing, you can add them using this form.