IDEAS home Printed from https://ideas.repec.org/a/eee/juecon/v143y2024ics0094119024000524.html
   My bibliography  Save this article

The economic impacts of the UK's eat out to help out scheme

Author

Listed:
  • Gonzalez-Pampillon, Nicolas
  • Nunez-Chaim, Gonzalo
  • Overman, Henry G.

Abstract

We evaluate the economic impacts of the UK's Eat Out to Help Out (EOTHO) scheme on the food service sector. EOTHO was introduced during the COVID pandemic to stimulate demand by subsidizing the cost of eating out, with a 50 % discount Mondays to Wednesdays in August 2020. We exploit the spatial variation in participation using a continuous difference-in-differences approach and an instrumental variables strategy. We measure the effect on footfall using mobility data from Google and on employment using job posts from Indeed. Our estimates indicate that a one standard deviation increase in exposure to the EOTHO scheme increased footfall in retail & recreation by 2–5 %, and job posts in the food preparation & service industry by 6–8 %. These effects are transitory, and we do not find evidence of large spillover benefits to non-recreational activities or other sectors.

Suggested Citation

  • Gonzalez-Pampillon, Nicolas & Nunez-Chaim, Gonzalo & Overman, Henry G., 2024. "The economic impacts of the UK's eat out to help out scheme," Journal of Urban Economics, Elsevier, vol. 143(C).
    • Handle: RePEc:eee:juecon:v:143:y:2024:i:c:s0094119024000524
    DOI: 10.1016/j.jue.2024.103682
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0094119024000524
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jue.2024.103682?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.

    More about this item

    Keywords

    Consumption subsidy; COVID-19; Instrumental variables; Footfall; Job posts;
    All these keywords.

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • H29 - Public Economics - - Taxation, Subsidies, and Revenue - - - Other
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:eee:juecon:v:143:y:2024:i:c:s0094119024000524. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622905 .

    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.