IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v38y2023i4d10.1007_s00180-023-01392-y.html
   My bibliography  Save this article

Immigrant residency and happiness in New York City

Author

Listed:
  • Alison Tuiyott

    (Miami University)

  • Robert C. Garrett

    (Miami University)

  • Lydia Carter

    (Miami University)

  • Benjamin Schweitzer

    (Miami University)

  • Karsten Maurer

    (Miami University)

  • Thomas J. Fisher

    (Miami University)

Abstract

We explore the quality of life of immigrants in New York City through housing and neighborhood conditions by creating a happiness metric to measure a household’s quality of life. Utilizing data provided by the New York City Housing and Vacancy Survey, the New York City Police Department, the New York City Department of Education, the New York City Department of Health and Mental Hygiene, along with reports from Happy City and the New Economics Foundation, a happiness score was assigned to each sub-borough in New York City. This happiness score evaluated five main domains: work, place, community, education, and health. As a result of this analysis, we discovered higher happiness scores were associated with lower percentages of immigrant households.

Suggested Citation

  • Alison Tuiyott & Robert C. Garrett & Lydia Carter & Benjamin Schweitzer & Karsten Maurer & Thomas J. Fisher, 2023. "Immigrant residency and happiness in New York City," Computational Statistics, Springer, vol. 38(4), pages 1657-1668, December.
  • Handle: RePEc:spr:compst:v:38:y:2023:i:4:d:10.1007_s00180-023-01392-y
    DOI: 10.1007/s00180-023-01392-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00180-023-01392-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00180-023-01392-y?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.

    References listed on IDEAS

    as
    1. Daniel Goldstein & Elyzabeth Gaumer & Wendy Martinez, 2023. "The 2019 data challenge expo of the American Statistical Association," Computational Statistics, Springer, vol. 38(4), pages 1621-1627, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Daniel Goldstein & Elyzabeth Gaumer & Wendy Martinez, 2023. "The 2019 data challenge expo of the American Statistical Association," Computational Statistics, Springer, vol. 38(4), pages 1621-1627, December.

    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. Benjamin W. Schweitzer & Robert C. Garrett & Lydia Carter & Alison Tuiyott & Karsten Maurer & Thomas J. Fisher, 2023. "An analysis of the impact of rent control on New York City housing," Computational Statistics, Springer, vol. 38(4), pages 1643-1656, December.
    2. Jhonatan Medri & Braden D. Probst & Jürgen Symanzik, 2023. "Housing variables and immigration: an exploratory analysis in New York City," Computational Statistics, Springer, vol. 38(4), pages 1687-1717, December.

    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:spr:compst:v:38:y:2023:i:4:d:10.1007_s00180-023-01392-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.