IDEAS home Printed from https://ideas.repec.org/a/bla/ecanth/v7y2020i2p241-252.html
   My bibliography  Save this article

Bad deaths, good funerals: The values of life insurance in New Orleans

Author

Listed:
  • Nikki Mulder

Abstract

This article explores the relationship between the value of money and the value of human life as it plays out in the financing of funeral ceremonies. It examines how these values are articulated through life insurance policies concerning violent deaths of working‐class black Americans in New Orleans. The article draws on ten months of ethnographic fieldwork (2017–18) in New Orleans, which included participant observation at a black‐owned funeral home and interviews with funeral directors, policyholders, and beneficiaries. By examining the role of life insurance policies in arranging good funerals after bad deaths, the ethnographic analysis demonstrates how life insurance policies are consumed and can produce value at a moment of loss. It explores the paradox that an insurance policy can at once become a resource for the affirmation of human value and a financial risk in itself.

Suggested Citation

  • Nikki Mulder, 2020. "Bad deaths, good funerals: The values of life insurance in New Orleans," Economic Anthropology, Wiley Blackwell, vol. 7(2), pages 241-252, June.
  • Handle: RePEc:bla:ecanth:v:7:y:2020:i:2:p:241-252
    DOI: 10.1002/sea2.12172
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sea2.12172
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sea2.12172?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
    ---><---

    References listed on IDEAS

    as
    1. Bouk, Dan, 2015. "How Our Days Became Numbered," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226259178.
    2. Stow, Simon, 2010. "Agonistic Homegoing: Frederick Douglass, Joseph Lowery, and the Democratic Value of African American Public Mourning," American Political Science Review, Cambridge University Press, vol. 104(4), pages 681-697, November.
    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. Michael G. Callaghan, 2020. "“Paint it black”: Wealth‐in‐people and Early Classic Maya blackware pottery," Economic Anthropology, Wiley Blackwell, vol. 7(2), pages 228-240, June.
    2. Dru McGill & John K. Millhauser & Alicia McGill & Vincent Melomo & Del Bohnenstiehl & John Wall, 2020. "Wealth in people and the value of historic Oberlin Cemetery, Raleigh, North Carolina," Economic Anthropology, Wiley Blackwell, vol. 7(2), pages 176-189, June.
    3. Kar, Sohini, 2023. "Domestic values: gendered labor and the uncanniness of critique in marketing life insurance for women," LSE Research Online Documents on Economics 120591, London School of Economics and Political Science, LSE Library.
    4. Sibel Kusimba, 2020. "Embodied value: Wealth‐in‐people," Economic Anthropology, Wiley Blackwell, vol. 7(2), pages 166-175, June.

    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. Laurence Barry & Arthur Charpentier, 2022. "The Fairness of Machine Learning in Insurance: New Rags for an Old Man?," Papers 2205.08112, arXiv.org.
    2. McFall, Liz, 2015. "Is digital disruption the end of health insurance? Some thoughts on the devising of risk," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 17(1), pages 32-44.
    3. Vargha, Zsuzsanna, 2015. "Note from the editor: Insurance after markets," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 17(1), pages 2-5.
    4. Terri Friedline & Zibei Chen, 2021. "Digital redlining and the fintech marketplace: Evidence from US zip codes," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 366-388, June.
    5. Momin M. Malik, 2020. "A Hierarchy of Limitations in Machine Learning," Papers 2002.05193, arXiv.org, revised Feb 2020.
    6. Mary F. E. Ebeling, 2021. "Mining the Data Oceans, Profiting on the Margins," Global Policy, London School of Economics and Political Science, vol. 12(S6), pages 85-89, July.

    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:ecanth:v:7:y:2020:i:2:p:241-252. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=2330-4847 .

    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.