IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v242y2024ics0165176524003355.html
   My bibliography  Save this article

Revalidating a survey instrument for measuring risk preferences

Author

Listed:
  • Bittner, Anika
  • Haering, Alexander
  • Heinrich, Timo
  • Mayrhofer, Thomas

Abstract

Survey instruments are often a cost-effective alternative to eliciting preferences via incentivized experiments. We revalidate a survey instrument used for measuring risk preferences in the influential Global Preferences Survey. We find that the instrument consisting of a quantitative and a qualitative item predicts risk aversion in a Chinese, an American and a German sample. For out-of-sample predictions, the combination of both items is preferable compared to using only one of the two items.

Suggested Citation

  • Bittner, Anika & Haering, Alexander & Heinrich, Timo & Mayrhofer, Thomas, 2024. "Revalidating a survey instrument for measuring risk preferences," Economics Letters, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:ecolet:v:242:y:2024:i:c:s0165176524003355
    DOI: 10.1016/j.econlet.2024.111851
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176524003355
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2024.111851?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bauer, Michal & Chytilová, Julie & Miguel, Edward, 2020. "Using survey questions to measure preferences: Lessons from an experimental validation in Kenya," European Economic Review, Elsevier, vol. 127(C).
    2. 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.
    3. Cary Deck & Harris Schlesinger, 2014. "Consistency of Higher Order Risk Preferences," Econometrica, Econometric Society, vol. 82, pages 1913-1943, September.
    4. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David B. Huffman & Uwe Sunde, 2017. "Global Evidence on Economic Preferences," NBER Working Papers 23943, National Bureau of Economic Research, Inc.
    5. 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.
    6. Xiaohao Ding & Joop Hartog & Yuze Sun, 2010. "Can we measure Individual Risk Attitudes in a Survey?," Tinbergen Institute Discussion Papers 10-027/3, Tinbergen Institute.
    7. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    8. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    9. Ding, Xiaohao & Hartog, Joop & Sun, Yuze, 2010. "Can We Measure Individual Risk Attitudes in a Survey?," IZA Discussion Papers 4807, Institute of Labor Economics (IZA).
    10. Bernd Hardeweg & Lukas Menkhoff & Hermann Waibel, 2013. "Experimentally Validated Survey Evidence on Individual Risk Attitudes in Rural Thailand," Economic Development and Cultural Change, University of Chicago Press, vol. 61(4), pages 859-888.
    11. Alexander Haering & Timo Heinrich & Thomas Mayrhofer, 2020. "Exploring The Consistency Of Higher Order Risk Preferences," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(1), pages 283-320, February.
    12. Ferdinand M. Vieider & Mathieu Lefebvre & Ranoua Bouchouicha & Thorsten Chmura & Rustamdjan Hakimov & Michal Krawczyk & Peter Martinsson, 2015. "Common Components Of Risk And Uncertainty Attitudes Across Contexts And Domains: Evidence From 30 Countries," Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 421-452, June.
    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. Bauer, Michal & Chytilová, Julie & Miguel, Edward, 2020. "Using survey questions to measure preferences: Lessons from an experimental validation in Kenya," European Economic Review, Elsevier, vol. 127(C).
    2. Gary Charness & Thomas Garcia & Theo Offerman & Marie Claire Villeval, 2020. "Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 99-123, April.
    3. Armin Falk & Anke Becker & Thomas Dohmen & David Huffman & Uwe Sunde, 2023. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences," Management Science, INFORMS, vol. 69(4), pages 1935-1950, April.
    4. Arslan, Ruben C. & Brümmer, Martin & Dohmen, Thomas & Drewelies, Johanna & Hertwig, Ralph & Wagner, Gert G., 2020. "How people know their risk preference," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10.
    5. Carpenter, Jeffrey, 2021. "The shape of warm glow: Field experimental evidence from a fundraiser," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 555-574.
    6. Elisa Cavatorta & David Schröder, 2019. "Measuring ambiguity preferences: A new ambiguity preference survey module," Journal of Risk and Uncertainty, Springer, vol. 58(1), pages 71-100, February.
    7. Carole Treibich, 2015. "Are Survey Risk Aversion Measurements Adequate in a Low Income Context?," AMSE Working Papers 1517, Aix-Marseille School of Economics, France.
    8. Rafaï, Ismaël & Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2023. "Stated preferences outperform elicited preferences for predicting reported compliance with COVID-19 prophylactic measures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    9. Daniel Engler & Gunnar Gutsche & Amantia Simixhiu & Andreas Ziegler, 2022. "Social norms and individual climate protection activities: A framed field experiment for Germany," MAGKS Papers on Economics 202230, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Haverkamp, Thilo K.G. & Welsch, Heinz & Ziegler, Andreas, 2023. "The relationship between climate protection activities, economic preferences, and life satisfaction: Empirical evidence for Germany," Energy Economics, Elsevier, vol. 128(C).
    11. Sepahvand, Mohammad & Shahbazian, Roujman, 2017. "Individual’s Risk Attitudes in sub-Saharan Africa: Determinants and Reliability of Self-reported Risk in Burkina Faso," Working Paper Series 2017:11, Uppsala University, Department of Economics.
    12. Bouchouicha, Ranoua & L’Haridon, Olivier & Vieider, Ferdinand M., 2024. "Law and economic behaviour," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 253-270.
    13. Felix Holzmeister & Martin Holmén & Michael Kirchler & Matthias Stefan & Erik Wengström, 2023. "Delegation Decisions in Finance," Management Science, INFORMS, vol. 69(8), pages 4828-4844, August.
    14. Schneider, Sebastian O. & Sutter, Matthias, 2020. "Higher Order Risk Preferences: Experimental Measures, Determinants and Related Field Behavior," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224643, Verein für Socialpolitik / German Economic Association.
    15. Dahmann, Sarah C. & Kettlewell, Nathan & Lam, Jack, 2022. "Parental Separation and the Formation of Economic Preferences," IZA Discussion Papers 14993, Institute of Labor Economics (IZA).
    16. Joshua Tasoff & Wenjie Zhang, 2022. "The Performance of Time-Preference and Risk-Preference Measures in Surveys," Management Science, INFORMS, vol. 68(2), pages 1149-1173, February.
    17. Fallucchi, Francesco & Nosenzo, Daniele & Reuben, Ernesto, 2020. "Measuring preferences for competition with experimentally-validated survey questions," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 402-423.
    18. Groh, Elke D. & Ziegler, Andreas, 2020. "On the relevance of economic preferences, values, norms, and socio-demographics for electricity consumption," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224587, Verein für Socialpolitik / German Economic Association.
    19. Sepahvand, Mohammad H & Shahbazian, Roujman & Bali Swain, Ranjula, 2018. "Does revolution change risk attitudes? Evidence from Burkina Faso," Working Paper Series 2019:2, Uppsala University, Department of Economics.
    20. Jim Engle-Warnick & Diego Pulido & Marine de Montaignac, 2016. "A Comparison of Survey and Incentivized-Based Risk Attitude Elicitation," CIRANO Working Papers 2016s-40, CIRANO.

    More about this item

    Keywords

    Survey validation; Experiment; Risk preferences;
    All these keywords.

    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
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:eee:ecolet:v:242:y:2024:i:c:s0165176524003355. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.