IDEAS home Printed from https://ideas.repec.org/p/rsw/rswwps/rswwps56.html
   My bibliography  Save this paper

Improvements and Future Challenges for the Research Infrastructure in the Field “Experimental Economics”

Author

Listed:
  • Simon Gächter

Abstract

Experimental economics is an established method of generating controlled and replicable empirical knowledge. It is complementary to other empirical methods in the social sciences. The research infrastructure for laboratory experiments is very good in Europe and also in Germany. One useful instrument would be to develop a short socio-economic questionnaire with questions already used in surveys that experimental economists could use to administer to their participants. The analyses of the selectivity of subject pools would then be an easy task. However, among experimental economists no standard exists yet, which limits the comparability of respective data sets. An effort shall be undertaken to “create” such a common questionnaire. The status quo with regard to data reporting is that no standard has emerged yet. There exists one data repository (in the United States) where data of experiments are collected and are freely available. Building up a data archive that integrates (merges) existing data is very laborious and requires substantial scientific inputs of interested researchers.

Suggested Citation

  • Simon Gächter, 2009. "Improvements and Future Challenges for the Research Infrastructure in the Field “Experimental Economics”," Working Paper Series of the German Council for Social and Economic Data 56, German Council for Social and Economic Data (RatSWD).
  • Handle: RePEc:rsw:rswwps:rswwps56
    as

    Download full text from publisher

    File URL: http://www.ratswd.de/download/RatSWD_WP_2009/RatSWD_WP_56.pdf
    Download Restriction: no

    More about this item

    Keywords

    Experimental economics; data archives; selectivity of subject pools;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:rsw:rswwps:rswwps56. 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: (RatSWD). General contact details of provider: http://edirc.repec.org/data/rtswdde.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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.