IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v94y2013i1p292-315.html
   My bibliography  Save this article

Good News, Bad News, and Consumer Confidence

Author

Listed:
  • Gregory P. Casey
  • Ann L. Owen

Abstract

No abstract is available for this item.

Suggested Citation

  • Gregory P. Casey & Ann L. Owen, 2013. "Good News, Bad News, and Consumer Confidence," Social Science Quarterly, Southwestern Social Science Association, vol. 94(1), pages 292-315, March.
  • Handle: RePEc:bla:socsci:v:94:y:2013:i:1:p:292-315
    DOI: 10.1111/ssqu.2013.94.issue-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/10.1111/ssqu.2013.94.issue-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1111/ssqu.2013.94.issue-1?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Balcaen, Pieter & Buts, Caroline & Bois, Cind Du & Tkacheva, Olesya, 2023. "The effect of disinformation about COVID-19 on consumer confidence: Insights from a survey experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 102(C).
    2. Sara Suarez-Fernandez & Maria Jose Perez-Villadoniga & Juan Prieto-Rodriguez, 2018. "Are We (Un)Consciously Driven by First Impressions? Price Declarations vs. Observed Cinema Demand when VAT Increases," ACEI Working Paper Series AWP-02-2018, Association for Cultural Economics International, revised Jul 2018.
    3. Eleni Zafeiriou & Constantinos Katrakilidis & Chrysanthi Pegiou, 2019. "Consumer Confidence on Heating Oil Prices: An Empirical Study of their Relationship for European Union in a Nonlinear Framework," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 63-90.
    4. Tufan Ekici, 2016. "Subjective Financial Distress in the Formation of Consumer Confidence: Evidence from Novel Household Data," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 30(2), pages 11-36.
    5. Luca Gambetti & Nicolò Maffei-Faccioli & Sarah Zoi, 2022. "Bad News, Good News: Coverage and Response Asymmetries," Working Paper 2022/8, Norges Bank.
    6. Suarez-Fernandez, Sara & Perez-Villadoniga, Maria J. & Prieto-Rodriguez, Juan, 2022. "Price salience in opinion polls and observed behavior: The case of Spanish cinema," Economic Modelling, Elsevier, vol. 111(C).
    7. Ali Aljamal & Mark Speece & Mohsen Bagnied, 2020. "Sustainable Policy for Water Pricing in Kuwait," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    8. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
    9. Jasman Tuyon & Zamri Ahmad & Hylmee Matahir, 2016. "The Roles of Investor Sentiment in Malaysian Stock Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 12(Suppl. 1), pages 43-75.
    10. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    11. Acuña, Guillermo, 2017. "Evaluación de la capacidad predictiva del índice de percepción del consumidor [Assessing the predictive power of the consumer perception index]," MPRA Paper 83154, University Library of Munich, Germany.
    12. Raffaele Guetto & Maria Francesca Morabito & Daniele Vignoli & Matthias Vollbracht, 2021. "Media Coverage of the Economy and Fertility," Econometrics Working Papers Archive 2021_12, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    13. Wei, Yu-Chen & Lu, Yang-Cheng & Chen, Jen-Nan & Hsu, Yen-Ju, 2017. "Informativeness of the market news sentiment in the Taiwan stock market," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 158-181.
    14. Mullainathan, Sendhil & Shleifer, Andrei, 2005. "The Market for News," Scholarly Articles 33078973, Harvard University Department of Economics.

    More about this item

    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:bla:socsci:v:94:y:2013:i:1:p:292-315. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    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.