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Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment

Author

Listed:
  • Harrison, Glenn W.
  • Lau, Morten I.

    (Department of Economics, Copenhagen Business School)

  • Yoo, Hong Il

Abstract

Longitudinal experiments allow one to evaluate the temporal stability of latent preferences, but raise concerns about sample selection and attrition that may confound inferences about temporal stability. We evaluate the hypothesis of temporal stability in risk preferences using a remarkable data set that combines socio-demographic information from the Danish Civil Registry with information on risk attitudes from a longitudinal field experiment. Our experimental design builds in explicit randomization on the incentives for participation. The results show that the use of different participation incentives can affect sample response rates and help identify the effects of selection. Correcting for endogenous sample selection and panel attrition changes inferences about risk preferences in an economically and statistically significant manner. Estimates of risk preferences change with these corrections. In general we find evidence consistent with temporal stability of risk preferences when one corrects for selection and attrition. †

Suggested Citation

  • Harrison, Glenn W. & Lau, Morten I. & Yoo, Hong Il, 2019. "Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment," Working Papers 2-2019, Copenhagen Business School, Department of Economics.
    • Handle: RePEc:hhs:cbsnow:2019_002
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    Cited by:

    1. Thiemann, Petra & Schulz, Jonathan & Sunde, Uwe & Thöni, Christian, 2022. "Selection into experiments: New evidence on the role of preferences, cognition, and recruitment protocols," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    2. Keisaku Higashida & Yuki Higuchi & Mohammad Mosharraf Hossain & Ryo Takahashi & Mohammad Sujauddin, 2024. "Becoming a Chief through Leadership Experience: Evidence from a Lab-in-the-Field Experiment in Chittagong Hill Tracts, Bangladesh," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 52(4), pages 171-186, December.
    3. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2022. "Subjective beliefs and economic preferences during the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 795-823, June.
    4. Armando N. Meier, 2021. "Emotions and Risk Attitudes," SOEPpapers on Multidisciplinary Panel Data Research 1118, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. Glenn W. Harrison, 2024. "Risk preferences and risk perceptions in insurance experiments: some methodological challenges," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 127-161, March.
    6. Mika Akesaka & Peter Eibich & Chie Hanaoka & Hitoshi Shigeoka, 2023. "Temporal Instability of Risk Preference among the Poor: Evidence from Payday Cycles," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 68-99, October.
    7. Huizhen Zhong & Cary Deck & Daniel J. Henderson, 2024. "Do participation rates vary with participation payments in laboratory experiments?," Experimental Economics, Springer;Economic Science Association, vol. 27(5), pages 1140-1157, November.
    8. Armando N. Meier, 2019. "Emotions, Risk Attitudes, and Patience," SOEPpapers on Multidisciplinary Panel Data Research 1041, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Gu, Ariel & Yoo, Hong Il, 2021. "Prospect Theory and Mutual Fund Flows," Economics Letters, Elsevier, vol. 201(C).
    10. Villacis, Alexis H., 2023. "Inconsistent choices over prospect theory lottery games: Evidence from field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    11. David Scrogin, 2023. "Estimating risk and time preferences over public lotteries: Findings from the field and stream," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 73-106, August.
    12. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2019. "Gender, risk preferences and willingness to compete in a random sample of the Swedish population✰," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    13. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    14. Andreas C. Drichoutis & Achilleas Vassilopoulos, 2021. "Intertemporal stability of survey‐based measures of risk and time preferences," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(3), pages 655-683, August.
    15. Andreas C. Drichoutis & Rodolfo M. Nayga, 2022. "On the stability of risk and time preferences amid the COVID-19 pandemic," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 759-794, June.
    16. Lisa R. Anderson & Beth A. Freeborn & Patrick McAlvanah & Andrew Turscak, 2023. "Pay every subject or pay only some?," Journal of Risk and Uncertainty, Springer, vol. 66(2), pages 161-188, April.
    17. 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.
    18. Glenn W. Harrison & Andre Hofmeyr & Harold Kincaid & Brian Monroe & Don Ross & Mark Schneider & J. Todd Swarthout, 2021. "A case study of an experiment during the COVID-19 pandemic: online elicitation of subjective beliefs and economic preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 194-209, December.
    19. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2025. "Constant Discounting, Temporal Instability, And Dynamic Inconsistency In Denmark: A Longitudinal Field Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 66(1), pages 363-392, February.
    20. Jose Apesteguia & Miguel A. Ballester & Ángelo Gutiérrez-Daza, 2024. "Random Discounted Expected Utility," Working Papers 2024-03, Banco de México.

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    Keywords

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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