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Morbidity in India since 1944

Author

Listed:
  • T. N. Srinivasan

    (Yale University
    IFMR)

  • V. R. Muraleedharan

    (Indian Institute of Technology, Madras)

  • Bhanu Pratap

    (Madras School of Economics)

Abstract

Surveys in countries at all stages of development have founded their work on health-status and morbidity, on self-reported health status by individual members of households who feel sick. Doubts have been raised related to cross-population comparisons on the objectivity of a person’s judgement of his/her health. Amartya Sen (Objectivity and position, University of Kansas, Department of Philosophy, Kansas, 1992, Philos Public Affair 126–145, 1993) has written on the philosophy of objectivity and, in Sen (Br Med J 324:860, 2002), compared morbidity data across Indian States, and countries like the United States. His discussion helps formulating and testing a null hypothesis that an Individual’s self-reported health-status (SRH) and morbidity (SRM) do not depend on his/her socio-economic status (SES) as well the socio-economic environment in which he/she lives. The test rejects the null hypothesis in favour of an alternative that there is a positive association between the two using data from the 71st Round (January–June 2014) survey of the National Sample Survey Office (NSSO). This means that lower the SES, the lower will be the health-status (reported as having higher morbidity); the higher the SES, higher will be the health-status (reported as having low morbidity). We also explore a linear probability model with constraints on the error term for ensuring that the estimated probabilities lie within the closed unit interval [0, 1].

Suggested Citation

  • T. N. Srinivasan & V. R. Muraleedharan & Bhanu Pratap, 2017. "Morbidity in India since 1944," Indian Economic Review, Springer, vol. 52(1), pages 3-35, December.
    • Handle: RePEc:spr:inecre:v:52:y:2017:i:1:d:10.1007_s41775-017-0004-9
    DOI: 10.1007/s41775-017-0004-9
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    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Subramanian, S.V. & Subramanyam, Malavika A. & Selvaraj, Sakthivel & Kawachi, Ichiro, 2009. "Are self-reports of health and morbidities in developing countries misleading? Evidence from India," Social Science & Medicine, Elsevier, vol. 68(2), pages 260-265, January.
    3. James J. Heckman, 1976. "Introduction to "Annals of Economic and Social Measurement, Volume 5, number 4"," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, National Bureau of Economic Research, Inc.
    4. 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.
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    Cited by:

    1. Caroline Katharina Stiller & Silvia Konstanze Ellen Golembiewski & Monika Golembiewski & Srikanta Mondal & Hans-Konrad Biesalski & Veronika Scherbaum, 2020. "Prevalence of Undernutrition and Anemia among Santal Adivasi Children, Birbhum District, West Bengal, India," IJERPH, MDPI, vol. 17(1), pages 1-32, January.
    2. K. L. Krishna, 2018. "A tribute to Prof. T.N. Srinivasan, economist polymath by K.L. Krishna," Indian Economic Review, Springer, vol. 53(1), pages 415-418, December.

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    More about this item

    Keywords

    Development; Health; Self-reported health and morbidity; Logistic regression; Linear probability model;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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