IDEAS home Printed from https://ideas.repec.org/p/cwl/cwldpp/2328r.html
   My bibliography  Save this paper

Distributions of Posterior Quantiles and Economic Applications

Author

Listed:

Abstract

We characterize the distributions of posterior quantiles under a given prior. Unlike the distributions of posterior means, which are known to be mean-preserving contractions of the prior, the distributions of posterior quantiles coincide with a first-order stochastic dominance interval bounded by an upper and a lower truncation of the prior. We apply this characterization to several environments, ranging across political economy, Bayesian persuasion, industrial organization, econometrics, finance, and accounting.

Suggested Citation

  • Kai Hao Yang & Alexander K. Zentefis, 2022. "Distributions of Posterior Quantiles and Economic Applications," Cowles Foundation Discussion Papers 2328R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2022.
  • Handle: RePEc:cwl:cwldpp:2328r
    as

    Download full text from publisher

    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d23/d2328-ra.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elliot Lipnowski & Doron Ravid, 2020. "Cheap Talk With Transparent Motives," Econometrica, Econometric Society, vol. 88(4), pages 1631-1660, July.
    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. Aleksei Smirnov & Egor Starkov, 2019. "Timing of predictions in dynamic cheap talk: experts vs. quacks," ECON - Working Papers 334, Department of Economics - University of Zurich.
    2. Skreta, Vasiliki & Koessler, Frédéric, 2021. "Information Design by an Informed Designer," CEPR Discussion Papers 15709, C.E.P.R. Discussion Papers.
    3. Hagenbach, Jeanne & Koessler, Frédéric, 2020. "Cheap talk with coarse understanding," Games and Economic Behavior, Elsevier, vol. 124(C), pages 105-121.
    4. Boris Knapp, 2021. "Fake Reviews and Naive Consumers," Vienna Economics Papers 2102, University of Vienna, Department of Economics.
    5. Onuchic, Paula & Ray, Debraj, 2023. "Conveying value via categories," Theoretical Economics, Econometric Society, vol. 18(4), November.
    6. Jeanne Hagenbach & Frédéric Koessler, 2019. "Partial Language Competence," Working Papers hal-03393108, HAL.
    7. Gong, Qiang & Yang, Huanxing, 2021. "Cheap talk about the relevance of multiple aspects," Economics Letters, Elsevier, vol. 207(C).
    8. Little, Andrew T., 2022. "Bayesian Explanations for Persuasion," OSF Preprints ygw8e, Center for Open Science.
    9. Yuling Yan & Weijie J. Su & Jianqing Fan, 2023. "The Isotonic Mechanism for Exponential Family Estimation," Papers 2304.11160, arXiv.org, revised Oct 2023.
    10. Paula Onuchic, 2021. "Advisors with Hidden Motives," Papers 2103.07446, arXiv.org, revised May 2023.
    11. Duraj, Jetlir & He, Kevin, 0. "Dynamic information preference and communication with diminishing sensitivity over news," Theoretical Economics, Econometric Society.
    12. Itai Arieli & Ivan Geffner & Moshe Tennenholtz, 2023. "Resilient Information Aggregation," Papers 2307.05054, arXiv.org.
    13. Jan-Henrik Steg & Elshan Garashli & Michael Greinecker & Christoph Kuzmics, 2023. "Robust equilibria in cheap-talk games with fairly transparent motives," Papers 2309.04193, arXiv.org, revised Mar 2024.
    14. Burdea, Valeria & Montero, Maria & Sefton, Martin, 2023. "Communication with partially verifiable information: An experiment," Games and Economic Behavior, Elsevier, vol. 142(C), pages 113-149.
    15. Boris Knapp, 2021. "Fake Reviews and Naive Consumers," Vienna Economics Papers vie2102, University of Vienna, Department of Economics.
    16. Juuso Toikka & Akhil Vohra & Rakesh Vohra, 2022. "Bayesian Persuasion: Reduced Form Approach," PIER Working Paper Archive 22-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    17. Monte, Daniel & Linhares, Luis Henrique, 2023. "Stealth Startups, Clauses, and Add-ons: A Model of Strategic Obfuscation," MPRA Paper 115926, University Library of Munich, Germany.
    18. Laura Doval & Vasiliki Skreta, 2022. "Mechanism Design With Limited Commitment," Econometrica, Econometric Society, vol. 90(4), pages 1463-1500, July.
    19. Harry Pei & Bruno Strulovici, 2021. "Robust Implementation with Costly Information," Papers 2112.06032, arXiv.org.
    20. Pedro M. Gardete & Yakov Bart, 2018. "Tailored Cheap Talk: The Effects of Privacy Policy on Ad Content and Market Outcomes," Marketing Science, INFORMS, vol. 37(5), pages 733-752, September.

    More about this item

    Keywords

    Posterior quantiles; stochastic dominance; gerrymandering; Bayesian persuasion; two-sided markets; quantile regression;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:cwl:cwldpp:2328r. 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: Brittany Ladd (email available below). General contact details of provider: https://edirc.repec.org/data/cowleus.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.