IDEAS home Printed from https://ideas.repec.org/p/brd/wpaper/110r4.html
   My bibliography  Save this paper

Trust in Signals and the Origins of Disagreement

Author

Listed:
  • Ing-Haw Cheng

    (Tuck School of Business, Dartmouth College)

  • Alice Hsiaw

    (Brandeis University International Business School)

Abstract

Why do individuals interpret the same information differently? We propose that individuals follow Bayes’ Rule when forming posteriors with one exception: when assessing the credibility of signal sources, they “double-dip” the data and use alreadyupdated beliefs instead of their priors. Individuals who make this mistake either overor underreact to new information depending on the order in which they received previous signals. Traders engage in excessive speculation associated with price bubbles and crashes. Our model provides a theory of the origins of disagreement: individuals disagree about both unknown states and credibility despite sharing common priors and information.

Suggested Citation

  • Ing-Haw Cheng & Alice Hsiaw, 2016. "Trust in Signals and the Origins of Disagreement," Working Papers 110R4, Brandeis University, Department of Economics and International Business School, revised Dec 2018.
  • Handle: RePEc:brd:wpaper:110r4
    as

    Download full text from publisher

    File URL: http://www.brandeis.edu/economics/RePEc/brd/doc/Brandeis_WP110R4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefano DellaVigna & Devin Pope, 2018. "Predicting Experimental Results: Who Knows What?," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2410-2456.
    2. Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September.
    3. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    4. Paola Sapienza & Luigi Zingales, 2013. "Economic Experts versus Average Americans," American Economic Review, American Economic Association, vol. 103(3), pages 636-642, May.
    5. Markus K. Brunnermeier & Jonathan A. Parker & Christian Gollier, 2007. "Optimal Beliefs, Asset Prices, and the Preference for Skewed Returns," American Economic Review, American Economic Association, vol. 97(2), pages 159-165, May.
    6. Peter Koudijs & Hans-Joachim Voth, 2016. "Leverage and Beliefs: Personal Experience and Risk-Taking in Margin Lending," American Economic Review, American Economic Association, vol. 106(11), pages 3367-3400, November.
    7. Benjamin Enke & Florian Zimmermann, 2019. "Correlation Neglect in Belief Formation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 313-332.
    8. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    9. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    10. , & , & ,, 2016. "Fragility of asymptotic agreement under Bayesian learning," Theoretical Economics, Econometric Society, vol. 11(1), January.
    11. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    12. Joshua Schwartzstein, 2014. "Selective Attention And Learning," Journal of the European Economic Association, European Economic Association, vol. 12(6), pages 1423-1452, December.
    13. Hong, Harrison & Scheinkman, José & Xiong, Wei, 2008. "Advisors and asset prices: A model of the origins of bubbles," Journal of Financial Economics, Elsevier, vol. 89(2), pages 268-287, August.
    14. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    15. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    16. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
    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. Cheng, Ing-Haw & Hsiaw, Alice, 2022. "Distrust in experts and the origins of disagreement," Journal of Economic Theory, Elsevier, vol. 200(C).
    2. Jacob LaRiviere & Mikolaj Czajkowski & Nick Hanley & Katherine Simpson, 2016. "What is the Causal Impact of Knowledge on Preferences in Stated Preference Studies?," Working Papers 2016-12, Faculty of Economic Sciences, University of Warsaw.
    3. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    4. Xavier Gabaix, 2017. "Behavioral Inattention," NBER Working Papers 24096, National Bureau of Economic Research, Inc.
    5. Jiao, Peiran & Veiga, André & Walther, Ansgar, 2020. "Social media, news media and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 63-90.
    6. Hestermann, Nina & Le Yaouanq, Yves, 2018. "It\'s not my Fault! Self-Confidence and Experimentation," Rationality and Competition Discussion Paper Series 124, CRC TRR 190 Rationality and Competition.
    7. Needham, Katherine & Czajkowski, Mikołaj & Hanley, Nick & LaRiviere, Jacob, 2018. "What is the causal impact of information and knowledge in stated preference studies?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 69-89.
    8. Peter Andrebriq & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2022. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(6), pages 2958-2991.
    9. Jacob LaRiviere & Mikołaj Czajkowski & Nick Hanley & Katherine Simpson, 2015. "What is the Causal Effect of Knowledge on Preferences?," Working Papers 2015-14, Faculty of Economic Sciences, University of Warsaw.
    10. Au, Pak Hung, 2016. "Price reaction and disagreement over public signal," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 81-106.
    11. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    12. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," PSE Working Papers halshs-03735680, HAL.
    13. Kai Barron, 2021. "Belief updating: does the ‘good-news, bad-news’ asymmetry extend to purely financial domains?," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 31-58, March.
    14. Xavier Gabaix, 2014. "A Sparsity-Based Model of Bounded Rationality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1661-1710.
    15. Delavande, Adeline & Zafar, Basit, 2018. "Information and anti-American attitudes," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 1-31.
    16. Wei Xiong & Jialin Yu, 2011. "The Chinese Warrants Bubble," American Economic Review, American Economic Association, vol. 101(6), pages 2723-2753, October.
    17. Abay, Kibrom A. & Barrett, Christopher B. & Kilic, Talip & Moylan, Heather & Ilukor, John & Vundru, Wilbert Drazi, 2023. "Nonclassical measurement error and farmers’ response to information treatment," Journal of Development Economics, Elsevier, vol. 164(C).
    18. Czajkowski, Mikolaj & Hanley, Nicholas & LaRiviere, Jacob & Simpson, Katherine, 2014. "What is the Causal Effect of Information and Learning about a Public Good on Willingness to Pay?," Stirling Economics Discussion Papers 2014-05, University of Stirling, Division of Economics.
    19. Nimark, Kristoffer P. & Sundaresan, Savitar, 2019. "Inattention and belief polarization," Journal of Economic Theory, Elsevier, vol. 180(C), pages 203-228.
    20. Liu, Hongqi & Peng, Cameron & Wei, Xiong & Wei, Xiong, 2022. "Taming the bias zoo," LSE Research Online Documents on Economics 109301, London School of Economics and Political Science, LSE Library.

    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:brd:wpaper:110r4. 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: Andrea Luna (email available below). General contact details of provider: https://edirc.repec.org/data/gsbraus.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.