IDEAS home Printed from https://ideas.repec.org/a/taf/edecon/v23y2015i6p735-750.html
   My bibliography  Save this article

Examining the education gradient in chronic illness

Author

Listed:
  • Pinka Chatterji
  • Heesoo Joo
  • Kajal Lahiri

Abstract

We examine the education gradient in diabetes, hypertension, and high cholesterol. We take into account diagnosed as well as undiagnosed cases and use methods accounting for the possibility of unmeasured factors that are correlated with education and drive both the likelihood of having illness and the propensity to be diagnosed. Data come from the National Health and Nutrition Examination Survey 1999-2012. The education gradient in chronic disease varies by whether self-reported or objective disease measures are used. Education is negatively associated with having undiagnosed disease in some cases, but findings vary by how we define undiagnosed disease.

Suggested Citation

  • Pinka Chatterji & Heesoo Joo & Kajal Lahiri, 2015. "Examining the education gradient in chronic illness," Education Economics, Taylor & Francis Journals, vol. 23(6), pages 735-750, December.
  • Handle: RePEc:taf:edecon:v:23:y:2015:i:6:p:735-750
    DOI: 10.1080/09645292.2014.944858
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09645292.2014.944858
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09645292.2014.944858?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Johnston, David W. & Propper, Carol & Shields, Michael A., 2009. "Comparing subjective and objective measures of health: Evidence from hypertension for the income/health gradient," Journal of Health Economics, Elsevier, vol. 28(3), pages 540-552, May.
    2. Giuseppe De Luca, 2008. "SNP and SML estimation of univariate and bivariate binary-choice models," Stata Journal, StataCorp LP, vol. 8(2), pages 190-220, June.
    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. AIZAWA Toshiaki, 2022. "Educational Gradient in Physiological Risk Factors in a Workplace: A decomposition analysis of biomarkers," Discussion papers 22046, Research Institute of Economy, Trade and Industry (RIETI).

    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. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    2. Shweta Bahl & Ajay Sharma, 2021. "Education–Occupation Mismatch and Dispersion in Returns to Education: Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 251-298, January.
    3. Johnston, David W. & Lordan, Grace, 2012. "Discrimination makes me sick! An examination of the discrimination–health relationship," Journal of Health Economics, Elsevier, vol. 31(1), pages 99-111.
    4. Martin Binder & Tom Broekel, 2011. "Applying a Non-parametric Efficiency Analysis to Measure Conversion Efficiency in Great Britain," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 12(2), pages 257-281.
    5. Albarrán, Pedro & Hidalgo-Hidalgo, Marisa & Iturbe-Ormaetxe, Iñigo, 2020. "Education and adult health: Is there a causal effect?," Social Science & Medicine, Elsevier, vol. 249(C).
    6. Colombo, Emilio & Rotondi, Valentina & Stanca, Luca, 2018. "Macroeconomic conditions and health: Inspecting the transmission mechanism," Economics & Human Biology, Elsevier, vol. 28(C), pages 29-37.
    7. Federico Belotti & Joanna Kopinska & Alessandro Palma & Andrea Piano Mortari, 2022. "Health status and the Great Recession. Evidence from electronic health records," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1770-1799, August.
    8. John Gibson & Steven Stillman & David McKenzie & Halahingano Rohorua, 2013. "Natural Experiment Evidence On The Effect Of Migration On Blood Pressure And Hypertension," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 655-672, June.
    9. Yokoo, Hide-Fumi & Arimura, Toshi H. & Chattopadhyay, Mriduchhanda & Katayama, Hajime, 2023. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," Journal of Development Economics, Elsevier, vol. 161(C).
    10. van Ooijen, R. & Alessi, R. & Knoef, M., 2015. "Health status over the life cycle," Health, Econometrics and Data Group (HEDG) Working Papers 15/21, HEDG, c/o Department of Economics, University of York.
    11. Debopam Bhattacharya & Pascaline Dupas & Shin Kanaya, 2024. "Demand and Welfare Analysis in Discrete Choice Models with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 748-784.
    12. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.
    13. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    14. Luciana Méndez Errico, 2013. "The Impacts of Social Networks on Immigrants’ Employment Prospects: The Spanish Case 1997-2007," Working Papers wpdea1301, Department of Applied Economics at Universitat Autonoma of Barcelona.
    15. Fredrik Carlsen & Stefan Leknes, 2022. "For whom are cities good places to live?," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2177-2190, December.
    16. Denzil G. Fiebig & Kees van Gool & Jane Hall & Chunzhou Mu, 2021. "Health care use in response to health shocks: Does socio‐economic status matter?," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3032-3050, December.
    17. Malmendier, Ulrike M. & Botsch, Matthew J., 2020. "The Long Shadows of the Great Inflation: Evidence from Residential Mortgages," CEPR Discussion Papers 14934, C.E.P.R. Discussion Papers.
    18. Sinha, Kompal & Davillas, Apostolos & Jones, Andrew M. & Sharma, Anurag, 2021. "Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data," Economics & Human Biology, Elsevier, vol. 43(C).
    19. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2010. "SES Health Gradients during the Epidemiological Transition: The Case of China," IZA Discussion Papers 4914, Institute of Labor Economics (IZA).
    20. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).

    More about this item

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    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:taf:edecon:v:23:y:2015:i:6:p:735-750. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CEDE20 .

    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.