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Socio-economic inequality of immunization coverage in India

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  • Jørgen Lauridsen

    ()

  • Jalandhar Pradhan

    ()

Abstract

To our knowledge, the present study provides a first time assessment of the contributions of socioeconomic determinants of immunization coverage in India using the recent National Family Health Survey data. Measurement of socioeconomic inequalities in health and health care, and understanding the determinants of such inequalities in terms of their contributions, are critical for health intervention strategies and for achieving equity in health care. A decomposition approach is applied to quantify the contributions from socio-demographic factors to inequality in immunization coverage. The results reveal that poor household economic status, mother's illiteracy, per capita state domestic product and proportion of illiterate at the state level is systematically related to 97% of predictable socioeconomic inequalities in full immunization coverage at the national level. These patterns of evidence suggest the need for immunization strategies targeted at different states and towards certain socioeconomic determinants as pointed out above in order to reduce socioeconomic inequalities in immunization coverage. JEL Classification: I10, I12 Copyright Lauridsen and Pradhan; licensee Springer. 2011

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Bibliographic Info

Article provided by Springer in its journal Health Economics Review.

Volume (Year): 1 (2011)
Issue (Month): 1 (December)
Pages: 1-6

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Handle: RePEc:spr:hecrev:v:1:y:2011:i:1:p:1-6:10.1186/2191-1991-1-11

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Keywords: health inequality; immunization; India; decomposition; socio-economic inequality;

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  1. Wagstaff, Adam & Van Doorslaer, Eddy & Watanabe, Naoko, 2001. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Policy Research Working Paper Series 2714, The World Bank.
  2. 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.
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