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Programming for Experimental Economics: Introducing CORAL - a lightweight framework for experimental economic experiments

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  • Markus Schaffner

Abstract

The 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.

Suggested Citation

  • Markus Schaffner, 2013. "Programming for Experimental Economics: Introducing CORAL - a lightweight framework for experimental economic experiments," QuBE Working Papers 016, QUT Business School.
  • Handle: RePEc:qut:qubewp:wp016
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    File URL: http://external-apps.qut.edu.au/business/documents/QuBEWorkingPapers/2013/coralWP.pdf
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    References listed on IDEAS

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    1. 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.
    2. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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    Citations

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    Cited by:

    1. Gigi Foster & Paul Frijters & Markus Schaffner & Benno Torgler, 2013. "Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence," QuBE Working Papers 022, QUT Business School.
    2. Juliana Silva-Goncalves & Uwe Dulleck & Anita Hong & Markus Schaffner & Stephen Whyte, 2016. "Affirmative action and effort choice An experimental investigation," WIDER Working Paper Series 054, World Institute for Development Economic Research (UNU-WIDER).
    3. Yola Engler & Rudolf Kerschbamer & Lionel Page, 2016. "Guilt-averse or reciprocal? Looking at behavioural motivations in the trust game," Working Papers 2016-17, Faculty of Economics and Statistics, University of Innsbruck.
    4. Murray, Cameron K. & Frijters, Paul & Vorster, Melissa, 2015. "Give and You Shall Receive: The Emergence of Welfare-Reducing Reciprocity," IZA Discussion Papers 9010, Institute for the Study of Labor (IZA).
    5. Murray, Cameron K. & Frijters, Paul & Schaffner, Markus, 2017. "Is Transparency an Anti-Corruption Myth?," IZA Discussion Papers 10683, Institute for the Study of Labor (IZA).
    6. repec:eee:jeborg:v:142:y:2017:i:c:p:494-508 is not listed on IDEAS
    7. Gangadharan, Lata & Jain, Tarun & Maitra, Pushkar & Vecci, Joseph, 2016. "Social identity and governance: The behavioral response to female leaders," European Economic Review, Elsevier, vol. 90(C), pages 302-325.

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    Keywords

    Experimental Economics; Programming; CORAL;

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