IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/87231.html
   My bibliography  Save this paper

The Economic Relevancy of Risk Preferences Elicited Online and With Low Stakes

Author

Listed:
  • Gibson, John
  • Johnson, David

Abstract

We explore the relevancy of subjects' risk preferences recovered using a subjective risk question to those recovered from the incentivized lottery experiments of Holt and Laury (2002), Gneezy and Potters (1997), and Johnson and Webb (2016). While a statistically significant relationship between subjective and incentivized risk measures has been documented, existing papers utilize laboratory (or lab-in-field) experiments with moderately large stakes. We investigate whether this relationship is preserved in an online environment with small stakes. Our results are consistent with the previous literature, suggesting that the correlation between subjective and incentivized risk measures is preserved online and with small stakes.

Suggested Citation

  • Gibson, John & Johnson, David, 2018. "The Economic Relevancy of Risk Preferences Elicited Online and With Low Stakes," MPRA Paper 87231, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:87231
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/87231/1/MPRA_paper_87231.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lisa Anderson & Jennifer Mellor, 2009. "Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure," Journal of Risk and Uncertainty, Springer, vol. 39(2), pages 137-160, October.
    2. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    3. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    4. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    5. David B. Johnson & Matthew D. Webb, 2016. "Decision Making with Risky, Rival Outcomes: Theory and Evidence," Carleton Economic Papers 16-12, Carleton University, Department of Economics.
    6. Ofra Amir & David G Rand & Ya'akov Kobi Gal, 2012. "Economic Games on the Internet: The Effect of $1 Stakes," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-4, February.
    7. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    8. Marina Agranov & Pietro Ortoleva, 2017. "Stochastic Choice and Preferences for Randomization," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 40-68.
    9. Gibson, John & Johnson, David, 2017. "Why Bother? Understanding the Impact of Financial Obligations on Wage Selectivity," MPRA Paper 78244, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johannes G. Jaspersen & Marc A. Ragin & Justin R. Sydnor, 2022. "Insurance demand experiments: Comparing crowdworking to the lab," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 1077-1107, December.
    2. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    3. Jérôme Hergueux & Nicolas Jacquemet, 2015. "Social preferences in the online laboratory: a randomized experiment," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 251-283, June.
    4. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2016. "Eliciting Risk Preferences: Firefighting in the Field," IZA Discussion Papers 9765, Institute of Labor Economics (IZA).
    5. Paolo Crosetto & Antonio Filippin & Janna Heider, 2015. "A Study of Outcome Reporting Bias Using Gender Differences in Risk Attitudes," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 239-262.
    6. Christine Gaertner & Petra Steinorth, 2023. "On the correlation of self‐reported and behavioral risk attitude measures: The case of the General Risk Question and the Investment Game following Gneezy and Potters (1997)," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(3), pages 367-392, October.
    7. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    8. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2013. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Matter? Evidence from Rural Uganda," GlobalFood Discussion Papers 158146, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    9. Ben Gillen & Erik Snowberg & Leeat Yariv, 2015. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," NBER Working Papers 21517, National Bureau of Economic Research, Inc.
    10. Collier, Trevor & Cotten, Stephen & Roush, Justin, 2022. "Using pandemic behavior to test the external validity of laboratory measurements of risk aversion and guilt," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).
    11. Verschoor, Arjan & D’Exelle, Ben & Perez-Viana, Borja, 2016. "Lab and life: Does risky choice behaviour observed in experiments reflect that in the real world?," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 134-148.
    12. Paul Bokern & Jona Linde & Arno Riedl & Peter Werner, 2023. "The Robustness of Preferences during a Crisis: The Case of Covid-19," CESifo Working Paper Series 10595, CESifo.
    13. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
    14. Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2016. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    15. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
    16. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2016. "Eliciting Risk Preferences: Firefighting in the Field," IZA Discussion Papers 9765, Institute of Labor Economics (IZA).
    17. Alserda, G.A.G., 2017. "Measuring Normative Risk Preferences," ERIM Report Series Research in Management ERS-2017-003-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Pablo Brañas‐Garza & Matteo M. Galizzi & Jeroen Nieboer, 2018. "Experimental And Self‐Reported Measures Of Risk Taking And Digit Ratio (2d:4d): Evidence From A Large, Systematic Study," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(3), pages 1131-1157, August.
    19. John Gibson & David Johnson, 0. "Breaking Bad: When Being Disadvantaged Incentivizes (Seemingly) Risky Behavior," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 0, pages 1-28.
    20. Prissé, Benjamin & Jorrat, Diego, 2022. "Lab vs online experiments: No differences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).

    More about this item

    Keywords

    Subjective Risk Preferences; Incentivized Risk Measures; Online Experiments;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

    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:pra:mprapa:87231. See general information about how to correct material in RePEc.

    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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.