IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27997.html
   My bibliography  Save this paper

An Executive Order Worth $100 Billion: The Impact of an Immigration Ban’s Announcement on Fortune 500 Firms’ Valuation

Author

Listed:
  • Dany Bahar
  • Prithwiraj Choudhury
  • Britta Glennon

Abstract

On June 22, 2020, President Trump issued an Executive Order (EO) that suspended new work visas, barring nearly 200,000 foreign workers and their dependents from entering the United States and preventing American companies from hiring skilled immigrants using H-1B or L1 visas. Exploiting this shock, and using event study methodology analyzing the cumulative average abnormal returns (CAARs) of Fortune 500 companies following this order, we find that the EO statistically and economically significantly caused negative CAARs of up to 0.45%, the equivalent of over 100 billion of US dollars of losses, based on the firms’ valuation before the event. Our results are particularly pronounced for firms that had maintained or increased their reliance on skilled immigrant workers over the prior years.

Suggested Citation

  • Dany Bahar & Prithwiraj Choudhury & Britta Glennon, 2020. "An Executive Order Worth $100 Billion: The Impact of an Immigration Ban’s Announcement on Fortune 500 Firms’ Valuation," NBER Working Papers 27997, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27997
    Note: CF LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27997.pdf
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

    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:nbr:nberwo:27997. 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/nberrus.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.