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Testing for the Presence of a Tremble in Economic Experiments

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  • Peter Moffatt
  • Simon Peters

Abstract

The classical trinity of tests is used to check for the presence of a tremble in economic experiments in which the response variable is binary. A tremble is said to occur when an agent makes a decision completely at random, without regard to the values taken by the explanatory variables. The properties of the tests are discussed, and an extension of the methodology is used to test for the presence of a tremble in binary panel data from a well-known economic experiment. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Peter Moffatt & Simon Peters, 2001. "Testing for the Presence of a Tremble in Economic Experiments," Experimental Economics, Springer;Economic Science Association, vol. 4(3), pages 221-228, December.
    • Handle: RePEc:kap:expeco:v:4:y:2001:i:3:p:221-228
    DOI: 10.1023/A:1013265203635
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    References listed on IDEAS

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    13. Vegard Iversen & Cecile Jackson & Bereket Kebede & Alistair Munro & Arjan Verschoor, 2006. "What's love got to do with it? An experimental test of household models in east uganda," Artefactual Field Experiments 00071, The Field Experiments Website.
    14. Krawczyk, Michal & Le Lec, Fabrice, 2021. "How to elicit distributional preferences: A stress-test of the equality equivalence test," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 13-28.
    15. Ingwersen, Nicholas & Frankenberg, Elizabeth & Thomas, Duncan, 2023. "Evolution of risk aversion over five years after a major natural disaster," Journal of Development Economics, Elsevier, vol. 163(C).
    16. Iversen, Vegard & Jackson, Cecile & Kebede, Bereket & Munro, Alistair & Verschoor, Arjan, 2011. "Do Spouses Realise Cooperative Gains? Experimental Evidence from Rural Uganda," World Development, Elsevier, vol. 39(4), pages 569-578, April.
    17. Wilcox, Nathaniel T., 2011. "'Stochastically more risk averse:' A contextual theory of stochastic discrete choice under risk," Journal of Econometrics, Elsevier, vol. 162(1), pages 89-104, May.
    18. Anna Conte & John D. Hey & Peter G. Moffatt, 2018. "Mixture models of choice under risk," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 1, pages 3-12, World Scientific Publishing Co. Pte. Ltd..
    19. Nicholas Ingwersen & Elizabeth Frankenberg & Duncan Thomas, 2023. "Evolution of Risk Aversion over Five Years after a Major Natural Disaster," NBER Working Papers 31102, National Bureau of Economic Research, Inc.
    20. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    21. Michael Moutoussis & Raymond J Dolan & Peter Dayan, 2016. "How People Use Social Information to Find out What to Want in the Paradigmatic Case of Inter-temporal Preferences," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-17, July.
    22. Anna Conte & M. Levati, 2014. "Use of data on planned contributions and stated beliefs in the measurement of social preferences," Theory and Decision, Springer, vol. 76(2), pages 201-223, February.
    23. Rivas, Javier, 2015. "Mechanism design and bounded rationality: The case of type misreporting," Mathematical Social Sciences, Elsevier, vol. 78(C), pages 6-13.
    24. Christoph Engel & Peter G. Moffat, 2012. "Estimation of the House Money Effect Using Hurdle Models," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2012_13, Max Planck Institute for Research on Collective Goods.
    25. John D. Hey & Gianna Lotito & Anna Maffioletti, 2018. "The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 8, pages 189-219, World Scientific Publishing Co. Pte. Ltd..

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