IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27259.html
   My bibliography  Save this paper

Measuring the Spatial Distribution of Health Rankings in the United States

Author

Listed:
  • Will Davis
  • Alexander D. Gordan
  • Rusty Tchernis

Abstract

We rank counties in the United States of America with respect to population health. We utilize the five observable county health variables used to construct the University of Wisconsin Population Health Institute’s County Health Rankings (CHRs). Our method relies on a factor analysis model to directly compute weights for our rankings, incorporate county population sizes into the variances, and allow for spillovers of health stock across county lines. We find that demographic and economic variation explain a large portion of the variation in health rankings. We address the importance of uncertainty caused by imputation of missing data and show that the use of rankings leads to inherently greater uncertainty. Analyzing the health of counties both within and across state lines shows substantial degrees of disparity. We find some disagreement between our ranks and the CHRs, but we show that much can be learned by combining results from both methods.

Suggested Citation

  • Will Davis & Alexander D. Gordan & Rusty Tchernis, 2020. "Measuring the Spatial Distribution of Health Rankings in the United States," NBER Working Papers 27259, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27259
    Note: HE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27259.pdf
    Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.
    ---><---

    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. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, Oxford University Press, vol. 133(3), pages 1163-1228.
    2. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    3. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, Oxford University Press, vol. 133(3), pages 1107-1162.
    4. Qiu, Qihua & Sung, Jaesang & Davis, Will & Tchernis, Rusty, 2018. "Using spatial factor analysis to measure human development," Journal of Development Economics, Elsevier, vol. 132(C), pages 130-149.
    5. Hogan J.W. & Tchernis R., 2004. "Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 314-324, January.
    6. Ncube, Collette N. & Enquobahrie, Daniel A. & Albert, Steven M. & Herrick, Amy L. & Burke, Jessica G., 2016. "Association of neighborhood context with offspring risk of preterm birth and low birthweight: A systematic review and meta-analysis of population-based studies," Social Science & Medicine, Elsevier, vol. 153(C), pages 156-164.
    7. Bleichrodt, Han & van Doorslaer, Eddy, 2006. "A welfare economics foundation for health inequality measurement," Journal of Health Economics, Elsevier, vol. 25(5), pages 945-957, September.
    Full references (including those not matched with items on IDEAS)

    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. John Gathergood & Fabian Gunzinger & Benedict Guttman-Kenney & Edika Quispe-Torreblanca & Neil Stewart, 2020. "Levelling Down and the COVID-19 Lockdowns: Uneven Regional Recovery in UK Consumer Spending," Papers 2012.09336, arXiv.org, revised Dec 2020.
    2. Michael J. Kottelenberg & Steven F. Lehrer, 2019. "How Skills and Parental Valuation of Education Influence Human Capital Acquisition and Early Labor Market Return to Human Capital in Canada," Journal of Labor Economics, University of Chicago Press, vol. 37(S2), pages 735-778.
    3. Magne Mogstad & Joseph P. Romano & Azeem Shaikh & Daniel Wilhelm, 2020. "Inference for Ranks with Applications to Mobility across Neighborhoods and Academic Achievement across Countries," NBER Working Papers 26883, National Bureau of Economic Research, Inc.
    4. Alberto Alesina & Marlon Seror & David Y. Yang & Yang You & Weihong Zeng, 2020. "Persistence through Revolutions," Working Papers DT/2020/09, DIAL (Développement, Institutions et Mondialisation).
    5. Sander Gerritsen & Mark Kattenberg & Sonny Kuijpers, 2019. "The impact of age at arrival on education and mental health," CPB Discussion Paper 389.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Bosquet, Clément & Overman, Henry G., 2019. "Why does birthplace matter so much?," Journal of Urban Economics, Elsevier, vol. 110(C), pages 26-34.
    7. Heyer, Johanna & Palm, Matthew & Niemeier, Deb, 2020. "Are we keeping up? Accessibility, equity and air quality in regional planning," Journal of Transport Geography, Elsevier, vol. 89(C).
    8. Courtemanche, Charles & Soneji, Samir & Tchernis, Rusty, 2013. "Modeling Area-Level Health Rankings," IZA Discussion Papers 7631, Institute of Labor Economics (IZA).
    9. Tamim Bayoumi & Jelle Barkema, 2019. "Stranded! How Rising Inequality Suppressed US Migration and Hurt Those Left Behind," IMF Working Papers 2019/122, International Monetary Fund.
    10. George Bulman & Robert Fairlie & Sarena Goodman & Adam Isen, 2016. "Parental Resources and College Attendance: Evidence from Lottery Wins," NBER Working Papers 22679, National Bureau of Economic Research, Inc.
    11. Michael Geruso & Timothy J. Layton & Jacob Wallace, 2020. "Are All Managed Care Plans Created Equal? Evidence from Random Plan Assignment in Medicaid," NBER Working Papers 27762, National Bureau of Economic Research, Inc.
    12. Samuel Bazzi & Martin Fiszbein & Mesay Gebresilasse, 2020. "Frontier Culture: The Roots and Persistence of “Rugged Individualism” in the United States," Econometrica, Econometric Society, vol. 88(6), pages 2329-2368, November.
    13. Richard Disney & John Gathergood & Stephen Machin & Matteo Sandi, 2020. "Does homeownership reduce crime? A radical housing reform in Britain," CEP Discussion Papers dp1685, Centre for Economic Performance, LSE.
    14. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2019. "Does sorting matter for learning inequality?Evidence from East Africa," PIER Working Paper Archive 20-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Carl Gaigne & Hans R.A. Koster & Fabien Moizeau & Jacques-François Thisse, 2020. "Income Sorting Across Space: The Role of Amenities and Commuting Costs," Working Papers SMART - LERECO 20-06, INRAE UMR SMART-LERECO.
    16. Tatyana Deryugina & Nolan Miller & David Molitor & Julian Reif, 2021. "Geographic and Socioeconomic Heterogeneity in the Benefits of Reducing Air Pollution in the United States," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 2(1), pages 157-189.
    17. Lei, Ziteng & Lundberg, Shelly, 2020. "Vulnerable Boys: Short-term and Long-term Gender Differences in the Impacts of Adolescent Disadvantage," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 424-448.
    18. Agostinelli, Francesco & Doepke, Matthias & Sorrenti, Giuseppe & Zilibotti, Fabrizio, 2020. "When the Great Equalizer Shuts Down: Schools, Peers, and Parents in Pandemic Times," CEPR Discussion Papers 15606, C.E.P.R. Discussion Papers.
    19. Disney, Richard & Gathergood, John & Machin, Stephen & Sandi, Matteo, 2020. "Does homeownership reduce crime? A radical housing reform from the UK," CFS Working Paper Series 651, Center for Financial Studies (CFS).
    20. Simon Fan & Yu Pang & Pierre Pestieau, 2020. "Nature versus Nurture in Social Mobility under Private and Public Education Systems," CESifo Working Paper Series 8472, CESifo.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    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:27259. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.