IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/pc294.html
   My bibliography  Save this paper

Berkeley Unified Numident Mortality Database: Public Administrative Records for Individual-Level Mortality Research

Author

Listed:
  • Breen, Casey
  • Goldstein, Joshua R.

Abstract

While much progress has been made in understanding the demographic determinants of mortality in the United States using individual survey data and aggregate tabulations, the lack of population-level register data is a barrier to further advances in mortality research. With the release of Social Security application (SS-5), claim, and death records, the National Archives and Records Administration (NARA) has created a new administrative data resource for researchers studying mortality. We introduce the Berkeley Unified Numident Mortality Database (BUNMD), a cleaned and harmonized version of these records. This publicly available dataset provides researchers access to over 49 million individual-level mortality records with demographic covariates and fine geographic detail, allowing for high-resolution mortality research.

Suggested Citation

  • Breen, Casey & Goldstein, Joshua R., 2022. "Berkeley Unified Numident Mortality Database: Public Administrative Records for Individual-Level Mortality Research," SocArXiv pc294, Center for Open Science.
    • Handle: RePEc:osf:socarx:pc294
    DOI: 10.31219/osf.io/pc294
    as

    Download full text from publisher

    File URL: https://osf.io/download/61fd4141bbff570215baaa10/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/pc294?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. Hannes Schwandt & Janet Currie & Marlies Bär & James Banks & Paola Bertoli & Aline Bütikofer & Sarah Cattan & Beatrice Zong-Ying Chao & Claudia Costa & Libertad González & Veronica Grembi & Kristiina , 2021. "Inequality in mortality between Black and White Americans by age, place, and cause and in comparison to Europe, 1990 to 2018," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(40), pages 2104684118-, October.
    2. Bruce D. Meyer & Nikolas Mittag, 2019. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 176-204, April.
    3. Neil K. Mehta & Irma T. Elo & Michal Engelman & Diane S. Lauderdale & Bert M. Kestenbaum, 2016. "Life Expectancy Among U.S.-born and Foreign-born Older Adults in the United States: Estimates From Linked Social Security and Medicare Data," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1109-1134, August.
    4. Lior Rennert & Sharon X. Xie, 2018. "Cox regression model with doubly truncated data," Biometrics, The International Biometric Society, vol. 74(2), pages 725-733, June.
    5. Alexander, Monica, 2018. "Deaths without denominators: using a matched dataset to study mortality patterns in the United States," SocArXiv q79ye, Center for Open Science.
    6. Ran Abramitzky & Leah Boustan & Katherine Eriksson & James Feigenbaum & Santiago Pérez, 2021. "Automated Linking of Historical Data," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 865-918, September.
    7. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    8. Trifon Missov & Adam Lenart & Laszlo Nemeth & Vladimir Canudas-Romo & James W. Vaupel, 2015. "The Gompertz force of mortality in terms of the modal age at death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(36), pages 1031-1048.
    9. Irma Elo & Cassio Turra & Bert Kestenbaum & B. Ferguson, 2004. "Mortality among elderly hispanics in the United States: Past evidence and new results," Demography, Springer;Population Association of America (PAA), vol. 41(1), pages 109-128, February.
    10. Jennifer Karas Montez & Anna Zajacova & Mark D. Hayward & Steven H. Woolf & Derek Chapman & Jason Beckfield, 2019. "Educational Disparities in Adult Mortality Across U.S. States: How Do They Differ, and Have They Changed Since the Mid-1980s?," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 621-644, April.
    11. Jonas Schöley & Frans Willekens, 2017. "Visualizing compositional data on the Lexis surface," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(21), pages 627-658.
    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. Joshua R. Goldstein & Maria Osborne & Serge Atherwood & Casey F. Breen, 2023. "Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-20, June.
    2. Risto Conte Keivabu & Ugofilippo Basellini & Emilio Zagheni, 2022. "Racial disparities in deaths related to extreme temperatures in the United States between 1993 and 2005," MPIDR Working Papers WP-2022-028, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Casey F. Breen, 2023. "Late-Life Changes in Ethnoracial Self-identification: Evidence from Social Security Administrative Data," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(1), pages 1-18, February.

    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. Casey Breen & Joshua R. Goldstein, 2022. "Berkeley Unified Numident Mortality Database: Public administrative records for individual-level mortality research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(5), pages 111-142.
    2. Breen, Casey & Seltzer, Nathan, 2023. "The Unpredictability of Individual-Level Longevity," SocArXiv znsqg, Center for Open Science.
    3. Joshua R. Goldstein & Maria Osborne & Serge Atherwood & Casey F. Breen, 2023. "Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(3), pages 1-20, June.
    4. Breen, Casey, 2024. "Black-White Mortality Crossover: New Evidence from Social Security Mortality Records," SocArXiv ax9u3, Center for Open Science.
    5. Goldstein, Joshua R. & Osborne, Maria & Atherwood, Serge & Breen, Casey, 2022. "Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records," SocArXiv efdzh, Center for Open Science.
    6. Breen, Casey, 2023. "The Longevity Benefits of Homeownership," SocArXiv 7ya3f, Center for Open Science.
    7. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2018. "Early Effects of the Affordable Care Act on Health Care Access, Risky Health Behaviors, and Self‐Assessed Health," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 660-691, January.
    8. Benjamin Sosnaud, 2024. "Decomposition analysis of disparities in infant mortality rates across 27 US states," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 50(40), pages 1185-1222.
    9. Angrisani, Marco & Atella, Vincenzo & Brunetti, Marianna, 2018. "Public health insurance and household portfolio Choices: Unravelling financial “Side Effects” of Medicare," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 198-212.
    10. Marianne P. Bitler & Christopher S. Carpenter & Danea Horn, 2021. "Effects of the Colorectal Cancer Control Program," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2667-2685, November.
    11. Ivan A Canay & Vishal Kamat, 2018. "Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1577-1608.
    12. Alexander Maas & Liang Lu, 2021. "Elections have Consequences: Partisan Politics may be Literally Killing Us," Applied Health Economics and Health Policy, Springer, vol. 19(1), pages 45-56, January.
    13. Beatty, Timothy K.M. & Blow, Laura & Crossley, Thomas F. & O'Dea, Cormac, 2014. "Cash by any other name? Evidence on labeling from the UK Winter Fuel Payment," Journal of Public Economics, Elsevier, vol. 118(C), pages 86-96.
    14. Leimer, Birgit & van Ewijk, Reyn, 2022. "No “honeymoon phase”: whose health benefits from retirement and when," Economics & Human Biology, Elsevier, vol. 47(C).
    15. Christelis, Dimitris & Georgarakos, Dimitris & Sanz-de-Galdeano, Anna, 2020. "The impact of health insurance on stockholding: A regression discontinuity approach," Journal of Health Economics, Elsevier, vol. 69(C).
    16. Mark Duggan & Atul Gupta & Emilie Jackson, 2022. "The Impact of the Affordable Care Act: Evidence from California's Hospital Sector," American Economic Journal: Economic Policy, American Economic Association, vol. 14(1), pages 111-151, February.
    17. Breen, Casey & Osborne, Maria, 2022. "An Assessment of CenSoc Match Quality," SocArXiv bj5md, Center for Open Science.
    18. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    19. Marchingiglio, Riccardo & Poyker, Mikhail, 2024. "The Economics of Gender-Specific Minimum Wage Legislation," IZA Discussion Papers 17016, Institute of Labor Economics (IZA).
    20. Postel, Hannah M., 2023. "Record linkage for character-based surnames: Evidence from chinese exclusion," Explorations in Economic History, Elsevier, vol. 87(C).

    More about this item

    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:osf:socarx:pc294. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.