IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/4163.html
   My bibliography  Save this paper

Earnings News and Local Household Spending

Author

Listed:
  • Gipper, Brandon

    (Stanford U)

  • Gu, Laura Lingyu

    (U of Chicago)

  • Kim, Jinhwan

    (Stanford U)

  • Noh, Suzie

    (Stanford U)

Abstract

Using debit and credit card data, we find a one standard-deviation increase in firms’ earnings surprise is linked to a 3% or $5.6 billion increase in aggregate quarterly consumption of local households near the disclosing firms’ headquarters. The effect is more pronounced when earnings news is informative about local households’ wealth, is widely disseminated through media, and is more intensely searched by locals. The change in consumption is concentrated in less expensive goods, such as dining out, and among various local stakeholders, including employees and business owners. Consistent with households not being able to unravel fraud, their consumption reacts even to fraudulent earnings, which reverses only after the fraud is revealed. To corroborate our mechanism, we conduct a nationwide survey of 500 randomly selected households. Nearly 50% of the respondents say their spending decisions are influenced by the financial news of local firms via its effect on local job or investment opportunities. Our findings yield important policy implications of financial reporting on household welfare.

Suggested Citation

  • Gipper, Brandon & Gu, Laura Lingyu & Kim, Jinhwan & Noh, Suzie, 2024. "Earnings News and Local Household Spending," Research Papers 4163, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:4163
    as

    Download full text from publisher

    File URL: https://www.gsb.stanford.edu/faculty-research/working-papers/earnings-news-local-household-spending
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:ecl:stabus:4163. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.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.