IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v19y2015icp145-156.html
   My bibliography  Save this article

Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data

Author

Listed:
  • Lee, Jinkook
  • McGovern, Mark E.
  • Bloom, David E.
  • Arokiasamy, P.
  • Risbud, Arun
  • O’Brien, Jennifer
  • Kale, Varsha
  • Hu, Peifeng

Abstract

Using new biomarker data from the 2010 pilot round of the Longitudinal Aging Study in India (LASI), we investigate education, gender, and state-level disparities in health. We find that hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7g/dL less in the adjusted model) compared to those with some formal education and is also lower for females than for males (2.0g/dL less in the adjusted model). In addition, we find that about one third of respondents in our sample aged 45 or older have high C-reaction protein (CRP) levels (>3mg/L), an indicator of inflammation and a risk factor for cardiovascular disease. We find no evidence of educational or gender differences in CRP, but there are significant state-level disparities, with Kerala residents exhibiting the lowest CRP levels (a mean of 1.96mg/L compared to 3.28mg/L in Rajasthan, the state with the highest CRP). We use the Blinder–Oaxaca decomposition approach to explain group-level differences, and find that state-level disparities in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, rather than differences in the distribution of endowments across the sampled state populations.

Suggested Citation

  • Lee, Jinkook & McGovern, Mark E. & Bloom, David E. & Arokiasamy, P. & Risbud, Arun & O’Brien, Jennifer & Kale, Varsha & Hu, Peifeng, 2015. "Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data," Economics & Human Biology, Elsevier, vol. 19(C), pages 145-156.
  • Handle: RePEc:eee:ehbiol:v:19:y:2015:i:c:p:145-156
    DOI: 10.1016/j.ehb.2015.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X15000660
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ehb.2015.09.003?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Powell, Lisa M. & Wada, Roy & Krauss, Ramona C. & Wang, Youfa, 2012. "Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors," Social Science & Medicine, Elsevier, vol. 75(3), pages 469-476.
    2. Liu, Hong & Fang, Hai & Zhao, Zhong, 2013. "Urban–rural disparities of child health and nutritional status in China from 1989 to 2006," Economics & Human Biology, Elsevier, vol. 11(3), pages 294-309.
    3. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    4. 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.
    5. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    6. Angus Deaton and Jean Drèze & Jean Drèze, 2002. "Poverty and Inequality in India: A Reexamination," Working papers 107, Centre for Development Economics, Delhi School of Economics.
    7. Ben Jann, 2008. "A Stata implementation of the Blinder-Oaxaca decomposition," ETH Zurich Sociology Working Papers 5, ETH Zurich, Chair of Sociology, revised 14 May 2008.
    8. Luis Rosero-Bixby & William H. Dow, 2009. "Surprising SES Gradients in Mortality, Health, and Biomarkers in a Latin American Population of Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(1), pages 105-117.
    9. Fogel, Robert W, 1994. "Economic Growth, Population Theory, and Physiology: The Bearing of Long-Term Processes on the Making of Economic Policy," American Economic Review, American Economic Association, vol. 84(3), pages 369-395, June.
    10. Thomas N. Daymonti & Paul J. Andrisani, 1984. "Job Preferences, College Major, and the Gender Gap in Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 19(3), pages 408-428.
    11. Ackerson, Leland K. & Kawachi, Ichiro & Barbeau, Elizabeth M. & Subramanian, S.V., 2008. "Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states," Economics & Human Biology, Elsevier, vol. 6(2), pages 264-280, July.
    12. Ravallion, Martin & Datt, Gaurav, 2002. "Why has economic growth been more pro-poor in some states of India than others?," Journal of Development Economics, Elsevier, vol. 68(2), pages 381-400, August.
    13. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
    14. Datt, Gaurav, 1998. "Poverty in India and Indian states," FCND discussion papers 47, International Food Policy Research Institute (IFPRI).
    15. Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
    16. Jürgen Maurer, 2011. "Education and Male-Female Differences in Later-Life Cognition: International Evidence From Latin America and the Caribbean," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 915-930, August.
    17. Fogel,Robert William, 2004. "The Escape from Hunger and Premature Death, 1700–2100," Cambridge Books, Cambridge University Press, number 9780521004886.
    18. Sukumar Vellakkal & S V Subramanian & Christopher Millett & Sanjay Basu & David Stuckler & Shah Ebrahim, 2013. "Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-12, July.
    19. Coffey, Diane, 2015. "Early life mortality and height in Indian states," Economics & Human Biology, Elsevier, vol. 17(C), pages 177-189.
    20. Fogel, Robert W, 2004. "Health, Nutrition, and Economic Growth," Economic Development and Cultural Change, University of Chicago Press, vol. 52(3), pages 643-658, April.
    21. repec:pri:rpdevs:deaton_dreze_poverty_india is not listed on IDEAS
    22. Lee, Jinkook & Smith, James P., 2014. "Regional disparities in adult height, educational attainment, and late-life cognition: Findings from the Longitudinal Aging Study in India (LASI)," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 26-34.
    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. Davillas, Apostolos & Pudney, Stephen, 2020. "Biomarkers as precursors of disability," Economics & Human Biology, Elsevier, vol. 36(C).
    2. Böckerman, Petri & Bryson, Alex & Viinikainen, Jutta & Hakulinen, Christian & Pulkki-Råback, Laura & Raitakari, Olli & Pehkonen, Jaakko, 2017. "Biomarkers and long-term labour market outcomes: The case of creatine," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 259-274.
    3. Aurino, Elisabetta, 2017. "Do boys eat better than girls in India? Longitudinal evidence on dietary diversity and food consumption disparities among children and adolescents," Economics & Human Biology, Elsevier, vol. 25(C), pages 99-111.
    4. Peifeng Hu & Serena Wang & Jinkook Lee, 2017. "Socioeconomic gradients of cardiovascular risk factors in China and India: results from the China health and retirement longitudinal study and longitudinal aging study in India," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(7), pages 763-773, September.
    5. Schott, Whitney & Aurino, Elisabetta & Penny, Mary E. & Behrman, Jere R., 2019. "The double burden of malnutrition among youth: Trajectories and inequalities in four emerging economies," Economics & Human Biology, Elsevier, vol. 34(C), pages 80-91.
    6. Baten, Joerg, 2017. "Economics, human biology and inequality: A review of “puzzles” and recent contributions from a Deatonian perspective," Economics & Human Biology, Elsevier, vol. 25(C), pages 3-8.

    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. Jinkook Lee & McGovern, Mark E. & David E. Bloom & P. Arokiasamy & Arun Risbud & Jennifer O?Brien & Varsha Kale & Peifeng Hu, 2015. "Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data," Working Paper 228841, Harvard University OpenScholar.
    2. Jakub Picka, 2014. "Problém "public-private pay gap" v České republice [The Public-Private Pay Gap in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 662-682.
    3. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    4. Girma Gezimu Gebre & Hiroshi Isoda & Dil Bahadur Rahut & Yuichiro Amekawa & Hisako Nomura, 2021. "Gender Gaps in Market Participation Among Individual and Joint Decision-Making Farm Households: Evidence from Southern Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 649-683, June.
    5. Sharma, Hari & Smieliauskas, Fabrice, 2022. "Undernutrition inequality between Dalits and non-Dalits in Nepal – A decomposition analysis," World Development, Elsevier, vol. 159(C).
    6. Girma Gezimu Gebre & Hiroshi Isoda & Dil Bahadur Rahut & Yuichiro Amekawa & Hisako Nomura, 0. "Gender Gaps in Market Participation Among Individual and Joint Decision-Making Farm Households: Evidence from Southern Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 0, pages 1-35.
    7. Essama-Nssah, B., 2012. "Identification of sources of variation in poverty outcomes," Policy Research Working Paper Series 5954, The World Bank.
    8. Girma Gezimu Gebre & Hiroshi Isoda & Yuichiro Amekawa & Dil Bahadur Rahut & Hisako Nomura & Takaaki Watanabe, 2021. "What Explains Gender Gaps in Household Food Security? Evidence from Maize Farm Households in Southern Ethiopia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 281-314, May.
    9. Michael E. Martell & Peyton Nash, 2020. "For Love and Money? Earnings and Marriage Among Same-Sex Couples," Journal of Labor Research, Springer, vol. 41(3), pages 260-294, September.
    10. Arvind Panagariya & Megha Mukim, 2014. "A Comprehensive Analysis of Poverty in India," Asian Development Review, MIT Press, vol. 31(1), pages 1-52, March.
    11. repec:dgr:rugggd:gd-114 is not listed on IDEAS
    12. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.
    13. Jessen, Jonas & Schmitz, Sophia & Waights, Sevrin, 2020. "Understanding day care enrolment gaps," Journal of Public Economics, Elsevier, vol. 190(C).
    14. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    15. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    16. Oscar Molina Tejerina & Luis Castro Peñarrieta, 2020. "Unexplained Wage Gaps in the Tradable and Nontradable Sectors: Cross-Sectional Evidence by Gender in Bolivia," Investigación & Desarrollo 0120, Universidad Privada Boliviana, revised Nov 2020.
    17. Brown, Charles & Corcoran, Mary, 1997. "Sex-Based Differences in School Content and the Male-Female Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 15(3), pages 431-465, July.
    18. Kamila Kolpashnikova & Man-Yee Kan, 2020. "The gender gap in the United States: Housework across racialized groups," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(36), pages 1067-1080.
    19. Liliane Bonnal & Rachid Boumahdi & Pascal Favard, 2013. "The easiest way to estimate the Oaxaca-Blinder decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 20(1), pages 96-101, January.
    20. Ferreira , Francisco H. G., 2010. "Distributions in motion: economic growth, inequality, and poverty dynamics," Policy Research Working Paper Series 5424, The World Bank.
    21. Yun Liang & John Gibson, 2017. "Location or Hukou: What Most Limits Fertility of Urban Women in China?," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 527-540, September.

    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:eee:ehbiol:v:19:y:2015:i:c:p:145-156. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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.