IDEAS home Printed from https://ideas.repec.org/p/aah/aarhec/2014-24.html
   My bibliography  Save this paper

Social Networks and Health Knowledge in India: Who You Know or Who You Are?

Author

Listed:
  • Niels-Hugo Blunch

    (Washington and Lee University & IZA)

  • Nabanita Datta Gupta

    (Department of Economics and Business, Aarhus University, Denmark)

Abstract

Addressing several methodological shortcomings of the previous literature, this paper explores the relationship among health knowledge and caste and religion and a number of important mediating factors in India, estimating causal impacts through a combination of instrumental variables and matching methods. The results indicate the presence of a substantively large caste and religion health knowledge gap in the context of proper treatment of diarrhea in children favoring high caste women relative to low caste and Muslim women. We also provide evidence that while observed individual characteristics such as education and access to social networks explain part of the gap, a substantial part of the health knowledge gap is left unexplained. All groups have greater health knowledge in urban than in rural areas, but the gap is even wider in urban than in rural areas. Additionally, high caste women benefit more in terms of health knowledge from having health networks than women from other groups; except if the health person is of the same caste/religion, in which case low caste and Muslim women sometimes benefit by as much as double that of high caste women, or even more. It may therefore not be enough to give individuals access to high quality networks if caste and religion-related gaps in health knowledge are to be reduced; such networks also have to be homophilous, to have the maximum effect. Improved treatment from and confidence in the medical profession is found to be part of the mechanism linking health social network formation with improved health knowledge about the treatment of diarrhea in children.

Suggested Citation

  • Niels-Hugo Blunch & Nabanita Datta Gupta, 2014. "Social Networks and Health Knowledge in India: Who You Know or Who You Are?," Economics Working Papers 2014-24, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:aarhec:2014-24
    as

    Download full text from publisher

    File URL: https://repec.econ.au.dk/repec/afn/wp/14/wp14_24.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    2. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    3. Chin, Aimee & Prakash, Nishith, 2011. "The redistributive effects of political reservation for minorities: Evidence from India," Journal of Development Economics, Elsevier, vol. 96(2), pages 265-277, November.
    4. David M. Cutler & Edward L. Glaeser, 2010. "Social Interactions and Smoking," NBER Chapters, in: Research Findings in the Economics of Aging, pages 123-141, National Bureau of Economic Research, Inc.
    5. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    6. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    7. Kenkel, Donald S, 1991. "Health Behavior, Health Knowledge, and Schooling," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 287-305, April.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    9. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    10. Vani Borooah & Sriya Iyer, 2005. "Vidya, Veda, and Varna: The influence of religion and caste on education in rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 41(8), pages 1369-1404.
    11. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    12. Jens Kovsted & Claus C. Pörtner & Finn Tarp, 2002. "Child Health and Mortality: Does Health Knowledge Matter?," Journal of African Economies, Centre for the Study of African Economies, vol. 11(4), pages 542-560.
    13. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    14. Subramanian, S.V. & Nandy, S. & Irving, M. & Gordon, D. & Lambert, H. & Smith, G.D., 2006. "The mortality divide in India: The differential contributions of gender, caste, and standard of living across the life course," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 818-825.
    15. 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.
    16. Jensen, Peter & Rasmussen, Astrid Würtz, 2011. "The effect of immigrant concentration in schools on native and immigrant children's reading and math skills," Economics of Education Review, Elsevier, vol. 30(6), pages 1503-1515.
    17. Paul Glewwe, 1999. "Why Does Mother's Schooling Raise Child Health in Developing Countries? Evidence from Morocco," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 124-159.
    18. Ronald L. Oaxaca & Michael R. Ransom, 1999. "Identification in Detailed Wage Decompositions," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 154-157, February.
    19. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    20. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    21. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    22. 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.
    23. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    24. Ritesh Banerjee & Ethan Cohen-Cole & Giulio Zanella, 2007. "Demonstration effects in preventive care," Supervisory Research and Analysis Working Papers QAU07-7, Federal Reserve Bank of Boston.
    25. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    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. Blunch, Niels-Hugo & Datta Gupta, Nabanita, 2020. "Mothers’ health knowledge gap for children with diarrhea: A decomposition analysis across caste and religion in India," World Development, Elsevier, vol. 126(C).
    2. Niels-Hugo Blunch & Nabanita Datta Gupta, 2020. "Mothers’ health knowledge for children with diarrhea: who you are or who you know?," Review of Economics of the Household, Springer, vol. 18(4), pages 1131-1164, December.
    3. Niels-Hugo Blunch, 2018. "Just like a woman? New comparative evidence on the gender income gap across Eastern Europe and Central Asia," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-41, December.
    4. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2020. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2), March.
    5. Boris Kaiser, 2016. "Decomposing differences in arithmetic means: a doubly robust estimation approach," Empirical Economics, Springer, vol. 50(3), pages 873-899, May.
    6. Gomes, Magno Rogério & Souza, Solange de Cássia Inforzato de & Mantovani, Gabriela Gomes & Paiva, Vanessa Fortunato de, 2019. "Wage gap decomposition models: A methodological contribution," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(2).
    7. Blunch, Niels-Hugo, 2018. "My Choice: Female Contraceptive Use Autonomy in Bangladesh," IZA Discussion Papers 11654, Institute of Labor Economics (IZA).
    8. Niels-Hugo Blunch, 2015. "Bound to lose, bound to win? The financial crisis and the informal-formal sector earnings gap in Serbia," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    9. Zhang, Li & Sharpe, Rhonda Vonshay & Li, Shi & Darity, William A., 2016. "Wage differentials between urban and rural-urban migrant workers in China," China Economic Review, Elsevier, vol. 41(C), pages 222-233.
    10. Somasree Poddar & Ishita Mukhopadhyay, 2019. "Gender Wage Gap: Some Recent Evidences from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 121-151, March.
    11. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
    12. Blunch, Niels-Hugo & Das, Maitreyi Bordia, 2007. "Changing norms about gender inequality in education : evidence from Bangladesh," Policy Research Working Paper Series 4404, The World Bank.
    13. Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Distributional Changes in the Gender Wage Gap," ILR Review, Cornell University, ILR School, vol. 67(2), pages 335-361, April.
    14. Karen Mumford & Cristina Sechel, 2020. "Pay and Job Rank among Academic Economists in the UK: Is Gender Relevant?," British Journal of Industrial Relations, London School of Economics, vol. 58(1), pages 82-113, March.
    15. Ravi Srivastava, 2019. "Emerging Dynamics of Labour Market Inequality in India: Migration, Informality, Segmentation and Social Discrimination," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(2), pages 147-171, June.
    16. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    17. Günalp, Burak & Cilasun, Seyit Mümin & Acar, Elif Öznur, 2013. "Male-Female Labor Market Participation and the Extent of Gender-Based Wage Discrimination in Turkey," MPRA Paper 51503, University Library of Munich, Germany.
    18. Saule Kemelbayeva, 2020. "Returns to schooling in Kazakhstan: an update using a pseudo-panel approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 437-487, September.
    19. Gang, Ira N. & Schmillen, Achim, 2017. "Sometimes, winners lose: Economic disparity and indigenization in Kazakhstan," Journal of Comparative Economics, Elsevier, vol. 45(3), pages 605-621.
    20. Niels-Hugo Blunch & Maitreyi Bordia Das, 2015. "Changing norms about gender inequality in education: Evidence from Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(6), pages 183-218.

    More about this item

    Keywords

    Health knowledge; caste; religion; social networks; India;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

    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:aah:aarhec:2014-24. 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: the person in charge (email available below). General contact details of provider: http://www.econ.au.dk/afn/ .

    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.