IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/21694.html
   My bibliography  Save this paper

Income-related health disparity and its determinants in New York state: racial/ethnic and geographical comparisons

Author

Listed:
  • Lahiri, Kajal
  • Pulungan, Zulkarnain

Abstract

Using self-assessed health status together with several indicators of individual morbidity and socio-demographic characteristics, we study the quality of health and income related health disparity in five racial/ethnic groups as well as across 17 geographic areas of New York State. The American Indian/Alaskan Natives and Hispanics are found to do the worst, whereas, geographically, the North Country in Upstate New York and Bronx County in Downstate score the worst on both counts. Three major contributing factors to income related health disparity are found to be household income, employment status, and education. However, the contribution of each of these determinants varies significantly among racial/ethnic groups as well as across geographic areas, suggesting targeted public policy initiatives to eliminate health disparity between rich and poor.

Suggested Citation

  • Lahiri, Kajal & Pulungan, Zulkarnain, 2007. "Income-related health disparity and its determinants in New York state: racial/ethnic and geographical comparisons," MPRA Paper 21694, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:21694
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/21694/1/MPRA_paper_21694.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/21829/1/MPRA_paper_21829.pdf
    File Function: revised version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Wagstaff, Adam & Paci, Pierella & van Doorslaer, Eddy, 1991. "On the measurement of inequalities in health," Social Science & Medicine, Elsevier, vol. 33(5), pages 545-557, January.
    2. Soobader, Mah-Jabeen & LeClere, Felicia B., 1999. "Aggregation and the measurement of income inequality: effects on morbidity," Social Science & Medicine, Elsevier, vol. 48(6), pages 733-744, March.
    3. Bommier, Antoine & Stecklov, Guy, 2002. "Defining health inequality: why Rawls succeeds where social welfare theory fails," Journal of Health Economics, Elsevier, vol. 21(3), pages 497-513, May.
    4. Van Ourti, Tom & van Doorslaer, Eddy & Koolman, Xander, 2009. "The effect of income growth and inequality on health inequality: Theory and empirical evidence from the European Panel," Journal of Health Economics, Elsevier, vol. 28(3), pages 525-539, May.
    5. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    6. James Banks & Michael Marmot & Zoe Oldfield & James P. Smith, 2009. "The SES Health Gradient on Both Sides of the Atlantic," NBER Chapters,in: Developments in the Economics of Aging, pages 359-406 National Bureau of Economic Research, Inc.
    7. John Mullahy, 2001. "Live long, live well: quantifying the health of heterogeneous populations," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 429-440.
    8. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    9. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    10. Humphries, Karin H. & van Doorslaer, Eddy, 2000. "Income-related health inequality in Canada," Social Science & Medicine, Elsevier, vol. 50(5), pages 663-671, March.
    11. Adam Wagstaff & Eddy van Doorslaer, 2004. "Overall versus socioeconomic health inequality: a measurement framework and two empirical illustrations," Health Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 297-301.
    12. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters,in: Perspectives on the Economics of Aging, pages 415-526 National Bureau of Economic Research, Inc.
    13. David M. Cutler & Adriana Lleras-Muney, 2006. "Education and Health: Evaluating Theories and Evidence," NBER Working Papers 12352, National Bureau of Economic Research, Inc.
    14. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    15. Horton N.J. & Lipsitz S.R. & Parzen M., 2003. "A Potential for Bias When Rounding in Multiple Imputation," The American Statistician, American Statistical Association, vol. 57, pages 229-232, November.
    16. Philip M. Clarke & Chris Ryan, 2006. "Self-reported health: reliability and consequences for health inequality measurement," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-652.
    17. Sickles, Robin C. & Taubman, Paul, 1993. "Mortality and morbidity among adults and the elderly," Handbook of Population and Family Economics,in: M. R. Rosenzweig & Stark, O. (ed.), Handbook of Population and Family Economics, edition 1, volume 1, chapter 11, pages 559-643 Elsevier.
    18. Milanovic, Branko, 1997. "A simple way to calculate the Gini coefficient, and some implications," Economics Letters, Elsevier, vol. 56(1), pages 45-49, September.
    19. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
    20. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
    21. Xander Koolman & Eddy van Doorslaer, 2004. "On the interpretation of a concentration index of inequality," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 649-656.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    BRFSS data; Self-assessed health; Ordered Probit; Income related health inequality; Concentration index; Concentration curve; Decomposition analysis;

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:pra:mprapa:21694. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.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.