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Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample

Author

Listed:
  • Aljoscha Minnich
  • Hauke Roggenkamp
  • Andreas Lange

Abstract

This paper investigates ambiguity attitudes for natural events (temperatures) and how they are updated following new information. Using a general population sample, we first obtain baseline ambiguity attitudes for future weather events based on real temperatures over several past days. Second, we study the influence of different communication types on updating the ambiguity attitudes: participants are given either point estimators, interval estimators, or the combination of both as weather forecasts. We further vary whether the forecast is surprising or in line with the initially received information. In contrast to claims that ambiguity aversion may increase in response to surprising news, we find that ambiguity attitudes are rather robust to new information and variants of their communication. Yet, different variants of communicating new information significantly change the belief updating process and affect the matching probabilities given to specific events. Our sample allows us to analyze sociodemographic correlates of ambiguity attitudes and the updating of ambiguity attitudes to new information.

Suggested Citation

  • Aljoscha Minnich & Hauke Roggenkamp & Andreas Lange, 2023. "Ambiguity Attitudes and Surprises: Experimental Evidence on Communicating New Information within a Large Population Sample," CESifo Working Paper Series 10783, CESifo.
    • Handle: RePEc:ces:ceswps:_10783
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    References listed on IDEAS

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    1. Gilboa Itzhak & Schmeidler David, 1993. "Updating Ambiguous Beliefs," Journal of Economic Theory, Elsevier, vol. 59(1), pages 33-49, February.
    2. repec:dau:papers:123456789/7333 is not listed on IDEAS
    3. Kathleen Ngangoué, M., 2021. "Learning under ambiguity: An experiment in gradual information processing," Journal of Economic Theory, Elsevier, vol. 195(C).
    4. 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.
    5. Cohen, M. & Gilboa, I. & Jaffray, J.Y. & Schmeidler, D., 2000. "An experimental study of updating ambiguous beliefs," Risk, Decision and Policy, Cambridge University Press, vol. 5(2), pages 123-133, June.
    6. Dmitri Vinogradov & Yousef Makhlouf, 2021. "Signaling probabilities in ambiguity: who reacts to vague news?," Theory and Decision, Springer, vol. 90(3), pages 371-404, May.
    7. Klibanoff, Peter & Marinacci, Massimo & Mukerji, Sujoy, 2009. "Recursive smooth ambiguity preferences," Journal of Economic Theory, Elsevier, vol. 144(3), pages 930-976, May.
    8. , & ,, 2007. "Updating preferences with multiple priors," Theoretical Economics, Econometric Society, vol. 2(3), September.
    9. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    10. Alexander Peysakhovich & Uma R. Karmarkar, 2016. "Asymmetric Effects of Favorable and Unfavorable Information on Decision Making Under Ambiguity," Management Science, INFORMS, vol. 62(8), pages 2163-2178, August.
    11. Peijnenburg, Kim & Anantanasuwong, Kanin & Kouwenberg, Roy & Mitchell, Olivia S, 2019. "Ambiguity Attitudes about Investments: Evidence from the Field," CEPR Discussion Papers 13518, C.E.P.R. Discussion Papers.
    12. David Budescu & Han-Hui Por & Stephen Broomell, 2012. "Effective communication of uncertainty in the IPCC reports," Climatic Change, Springer, vol. 113(2), pages 181-200, July.
    13. Baillon, Aurélien & Bleichrodt, Han & Li, Chen & Wakker, Peter P., 2021. "Belief hedges: Measuring ambiguity for all events and all models," Journal of Economic Theory, Elsevier, vol. 198(C).
    14. Branden B. Johnson, 2003. "Further Notes on Public Response to Uncertainty in Risks and Science," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 781-789, August.
    15. Lauren C. Howe & Bo MacInnis & Jon A. Krosnick & Ezra M. Markowitz & Robert Socolow, 2019. "Acknowledging uncertainty impacts public acceptance of climate scientists’ predictions," Nature Climate Change, Nature, vol. 9(11), pages 863-867, November.
    16. Olivier l’Haridon & Ferdinand M. Vieider & Diego Aycinena & Agustinus Bandur & Alexis Belianin & Lubomír Cingl & Amit Kothiyal & Peter Martinsson, 2018. "Off the Charts: Massive Unexplained Heterogeneity in a Global Study of Ambiguity Attitudes," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 664-677, October.
    17. Aurélien Baillon & Han Bleichrodt & Umut Keskin & Olivier l’Haridon & Chen Li, 2018. "The Effect of Learning on Ambiguity Attitudes," Management Science, INFORMS, vol. 64(5), pages 2181-2198, May.
    18. Sandeep Baliga & Eran Hanany & Peter Klibanoff, 2013. "Polarization and Ambiguity," American Economic Review, American Economic Association, vol. 103(7), pages 3071-3083, December.
    19. Gary Charness & Ryan Oprea & Sevgi Yuksel, 2021. "How do People Choose Between Biased Information Sources? Evidence from a Laboratory Experiment," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1656-1691.
    20. Su, Siyan, 2022. "Updating politicized beliefs: How motivated reasoning contributes to polarization," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    21. Aurélien Baillon & Zhenxing Huang & Asli Selim & Peter P. Wakker, 2018. "Measuring Ambiguity Attitudes for All (Natural) Events," Econometrica, Econometric Society, vol. 86(5), pages 1839-1858, September.
    22. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    23. Charles F. Manski, 2015. "Communicating Uncertainty in Official Economic Statistics: An Appraisal Fifty Years after Morgenstern," Journal of Economic Literature, American Economic Association, vol. 53(3), pages 631-653, September.
    24. Branden B. Johnson & Paul Slovic, 1995. "Presenting Uncertainty in Health Risk Assessment: Initial Studies of Its Effects on Risk Perception and Trust," Risk Analysis, John Wiley & Sons, vol. 15(4), pages 485-494, August.
    25. Stephen G. Dimmock & Roy Kouwenberg & Peter P. Wakker, 2016. "Ambiguity Attitudes in a Large Representative Sample," Management Science, INFORMS, vol. 62(5), pages 1363-1380, May.
    26. Li, Jian, 2020. "Preferences for partial information and ambiguity," Theoretical Economics, Econometric Society, vol. 15(3), July.
    27. Divya Aggarwal & Pitabas Mohanty, 2022. "Influence of imprecise information on risk and ambiguity preferences: Experimental evidence," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 1025-1038, June.
    28. repec:dau:papers:123456789/7357 is not listed on IDEAS
    29. van der Bles, Anne Marthe & van der Liden, Sander & Freeman, Alessandra L. J. & Mitchell, James & Galvao, Ana Beatriz & Spiegelhalter, David J., 2019. "Communicating uncertainty about facts, numbers, and science," EMF Research Papers 22, Economic Modelling and Forecasting Group.
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    More about this item

    Keywords

    ambiguity attitude; belief updating; expert forecasts; survey experiment;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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