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Experiments in economics: should we trust the dismal scientists in white coats?

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  • Chris Starmer

Abstract

Is the rapid growth of experimental research in economics evidence of a new scientific spirit at work or merely fresh evidence of a misplaced desire to ape the methods of natural sciences? It is often argued that economic experiments are artificial in some sense that tends to render the results problematic or uninteresting. In the early part of this paper I argue that this artificiality critique does not provide a convincing philosophical objection to experimentation in economics. Later sections of the paper argue that methodological discourse in relation to experiments has become somewhat polarized: experimentalists have promoted a position that seeks to defuse objections to experiments; theorists have taken up positions that insulate theory from experimental challenge. I argue that these strategies are overly defensive and tend to stifle rather than promote the goals of economic enquiry.

Suggested Citation

  • Chris Starmer, 1999. "Experiments in economics: should we trust the dismal scientists in white coats?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 6(1), pages 1-30.
  • Handle: RePEc:taf:jecmet:v:6:y:1999:i:1:p:1-30
    DOI: 10.1080/13501789900000001
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    References listed on IDEAS

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    1. John H. Kagel & Raymond C. Battalio, 1980. "Token Economy and Animal Models for the Experimental Analysis of Economic Behavior," NBER Chapters, in: Evaluation of Econometric Models, pages 379-401, National Bureau of Economic Research, Inc.
    2. Vernon L. Smith, 1980. "Relevance of Laboratory Experiments to Testing Resource Allocation Theory," NBER Chapters, in: Evaluation of Econometric Models, pages 345-377, National Bureau of Economic Research, Inc.
    3. Frank P. Stafford, 1980. "Some Comments on the Papers by Kagel and Battalio and by Smith," NBER Chapters, in: Evaluation of Econometric Models, pages 407-410, National Bureau of Economic Research, Inc.
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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

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