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Experimental Economics: Hard Science or Wasteful Tinkering?

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  • Starmer, Chris
Abstract
I take it that in raising the question "What have we learned from experimental economics" under the broader umbrella of "controversy" the point is not to solicit a catalogue of experimental findings, but rather to signal the more pointed question: are we learning anything at all, or at least much that is very useful form experimentation in economics. As a practising experimentalist, I am convinced that experiments do have the potential to make a significant contribution to knowledge in economics.
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Suggested Citation

  • Starmer, Chris, 1999. "Experimental Economics: Hard Science or Wasteful Tinkering?," Economic Journal, Royal Economic Society, vol. 109(453), pages 5-15, February.
  • Handle: RePEc:ecj:econjl:v:109:y:1999:i:453:p:f5-15
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    References listed on IDEAS

    as
    1. Starmer, Chris & Sugden, Robert, 1993. "Testing for Juxtaposition and Event-Splitting Effects," Journal of Risk and Uncertainty, Springer, vol. 6(3), pages 235-254, June.
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    9. repec:bla:econom:v:59:y:1992:i:233:p:17-33 is not listed on IDEAS
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    Cited by:

    1. Dorian Jullien & Nicolas Vallois, 2014. "A probabilistic ghost in the experimental machine," Journal of Economic Methodology, Taylor & Francis Journals, vol. 21(3), pages 232-250, September.
    2. Etchart-Vincent, Nathalie, 2007. "Expérimentation de laboratoire et économie : contre quelques idées reçues et faux problèmes," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(1), pages 91-116, mars.
    3. Steven D. Levitt & John A. List, 2007. "Viewpoint: On the generalizability of lab behaviour to the field," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 347-370, May.
    4. Fiore, Annamaria, 2009. "Experimental Economics: Some Methodological Notes," MPRA Paper 12498, University Library of Munich, Germany.
    5. Geoffrey M. Hodgson, 2004. "¿Los experimentos pueden falsear la teoría de la utilidad esperada?," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 6(10), pages 17-45, January-J.
    6. Antoinette Weibel & Katja Rost & Margit Osterloh, 2007. "Gewollte und ungewollte Anreizwirkungen von variablen Löhnen: Disziplinierung der Agenten oder Crowding-Out?," Schmalenbach Journal of Business Research, Springer, vol. 59(8), pages 1029-1054, December.
    7. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
    8. Reise, Christian & Musshoff, Oliver & Granoszewski, Karol & Spiller, Achim, 2012. "Which factors influence the expansion of bioenergy? An empirical study of the investment behaviours of German farmers," Ecological Economics, Elsevier, vol. 73(C), pages 133-141.
    9. Francisco Alpízar & Till Requate & Albert Schram, 2004. "Collective versus Random Fining: An Experimental Study on Controlling Ambient Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(2), pages 231-252, October.
    10. Tilman Slembeck, 2000. "Learning in Economics: Where Do We Stand?," Microeconomics 0004007, University Library of Munich, Germany.
    11. Julius Pahlke & Sebastian Strasser & Ferdinand Vieider, 2015. "Responsibility effects in decision making under risk," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 125-146, October.
    12. List John A., 2007. "Field Experiments: A Bridge between Lab and Naturally Occurring Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-47, April.
    13. Robin Cubitt & Chris Starmer & Robert Sugden, 2001. "Discovered preferences and the experimental evidence of violations of expected utility theory," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(3), pages 385-414.
    14. Fernando San Miguel & Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Irrational’ stated preferences: a quantitative and qualitative investigation," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 307-322, March.
    15. Sadrieh, A. & Verbon, H.A.A., 2002. "Inequality, trust and growth : An experimental study," Discussion Paper 2002-84, Tilburg University, Center for Economic Research.
    16. Giuseppe Fontana, 2006. "“Mr Keynes and the ‘Classics’” Again: A Methodological Enquiry," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(2), pages 161-174, June.
    17. Klarizze Anne Martin Puzon & Rachel M. Gisselquist, 2021. "Consolidating behavioural economics and rational choice theory: Insights from inequality research," WIDER Working Paper Series wp-2021-76, World Institute for Development Economic Research (UNU-WIDER).
    18. Arthur Schram, 2005. "Artificiality: The tension between internal and external validity in economic experiments," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 225-237.
    19. Fontana, Giuseppe & Gerrard, Bill, 2004. "A Post Keynesian theory of decision making under uncertainty," Journal of Economic Psychology, Elsevier, vol. 25(5), pages 619-637, October.
    20. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.
    21. Gunessee, Saileshsingh & Lane, Tom, 2023. "Changing perceptions about experimentation in economics: 50 years of evidence from principles textbooks," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    22. Amadou Boly, 2011. "On the incentive effects of monitoring: evidence from the lab and the field," Experimental Economics, Springer;Economic Science Association, vol. 14(2), pages 241-253, May.
    23. Saileshsingh Gunessee & Tom Lane, 2020. "Is Economics An Experimental Science? A Textbook Perspective," Discussion Papers 2020-16, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.

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    More about this item

    JEL classification:

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

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