IDEAS home Printed from https://ideas.repec.org/a/sae/inddev/v14y2020i3p394-406.html
   My bibliography  Save this article

Long-Term Trend in Infant Mortality in India: A Joinpoint Regression Analysis for 1971–2018

Author

Listed:
  • Aalok Ranjan Chaurasia

Abstract

Infant mortality rate (IMR) in India remains high by international standards. India accounts for the largest number of global infant deaths. This study analyses the trend in IMR in India over almost four decades beginning 1971 through 2018. The analysis is based on annual estimates of IMR available through India’s official sample registration system and follows the joinpoint regression analysis approach. The analysis reveals that the trend in IMR in India changed three times during 1971–2018 and the pace of decrease has been different in different sub-periods with a considerable deceleration in the decrease during 1992–2006. It is only after the launch of National Rural Health Mission in 2005 that the decrease in IMR in India and selected states accelerated to more than 4 per cent per year.

Suggested Citation

  • Aalok Ranjan Chaurasia, 2020. "Long-Term Trend in Infant Mortality in India: A Joinpoint Regression Analysis for 1971–2018," Indian Journal of Human Development, , vol. 14(3), pages 394-406, December.
  • Handle: RePEc:sae:inddev:v:14:y:2020:i:3:p:394-406
    DOI: 10.1177/0973703020975044
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0973703020975044
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0973703020975044?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
    ---><---

    References listed on IDEAS

    as
    1. Joseph Molitoris & Kieron Barclay & Martin Kolk, 2019. "When and Where Birth Spacing Matters for Child Survival: An International Comparison Using the DHS," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1349-1370, August.
    2. P. M. Lerman, 1980. "Fitting Segmented Regression Models by Grid Search," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(1), pages 77-84, March.
    3. Government of India, 2017. "National Health Policy 2017," Working Papers id:11664, eSocialSciences.
    4. Nancy R. Zhang & David O. Siegmund, 2007. "A Modified Bayes Information Criterion with Applications to the Analysis of Comparative Genomic Hybridization Data," Biometrics, The International Biometric Society, vol. 63(1), pages 22-32, March.
    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. Matúš Maciak & Ivan Mizera, 2016. "Regularization techniques in joinpoint regression," Statistical Papers, Springer, vol. 57(4), pages 939-955, December.
    2. Tajul Masron & Mduduzi Biyase & Talent Zwane & Thomas Udimal & Frederich Kirsten, 2023. "Ecological footprint and population health outcomes: an analysis of E7 countries," Economics Working Papers edwrg-07-2023, College of Business and Economics, University of Johannesburg, South Africa, revised 2023.
    3. G. Kent Fellows & Daniel J. Dutton & Aidan Hollis, 2018. "Making Sure Orphan Drugs Don’t Get Left Behind," SPP Communique, The School of Public Policy, University of Calgary, vol. 10(6), August.
    4. Shawhan, Daniel L. & Picciano, Paul D., 2019. "Costs and benefits of saving unprofitable generators: A simulation case study for US coal and nuclear power plants," Energy Policy, Elsevier, vol. 124(C), pages 383-400.
    5. Richard Isralowitz & Mor Yehudai & Daichi Sugawara & Akihiro Masuyama & Shai-li Romem Porat & Adi Dagan & Alexander Reznik, 2022. "Economic Impact on Health and Well-Being: Comparative Study of Israeli and Japanese University “Help” Profession Students," Social Sciences, MDPI, vol. 11(12), pages 1-11, November.
    6. Javed, Rashid & Mughal, Mazhar, 2020. "Preference for boys and length of birth intervals in Pakistan," Research in Economics, Elsevier, vol. 74(2), pages 140-152.
    7. Shu Yan & Lizi Pan & Yan Lu & Juan Chen & Ting Zhang & Dongzi Xu & Zhaolian Ouyang, 2023. "Towards Sustainable Drug Supply in China: A Bibliometric Analysis of Drug Reform Policies," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    8. Liang-Chung Huang & Wu-Fu Chung & Shih-Wei Liu & Jau-Ching Wu & Li-Fu Chen & Yu-Chun Chen, 2019. "Characteristics of Non-Emergent Visits in Emergency Departments: Profiles and Longitudinal Pattern Changes in Taiwan, 2000–2010," IJERPH, MDPI, vol. 16(11), pages 1-16, June.
    9. Bozena Wielgoszewska & Alex Bryson & Monica Costa-Dias & Francesca Foliano & Heather Joshi & David Wilkinson, 2021. "Exploring the Reasons for Labour Market Gender Inequality a Year into the Covid-19 Pandemic: Evidence from the UK Cohort Studies," DoQSS Working Papers 21-23, Quantitative Social Science - UCL Social Research Institute, University College London.
    10. Shi, Wunan & Wouters, Olivier J. & Liu, Gordon & Mossialos, Elias & Yang, Xiuyun, 2020. "Association between provincial income levels and drug prices in China over the period 2010–2017," Social Science & Medicine, Elsevier, vol. 263(C).
    11. Anshul Kastor & Sanjay K Mohanty, 2018. "Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: Do Indian households face distress health financing?," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-18, May.
    12. Rotimi Felix Afolabi & Martin Enock Palamuleni, 2022. "Influence of Maternal Education on Second Childbirth Interval Among Women in South Africa: Rural-Urban Differential Using Survival Analysis," SAGE Open, , vol. 12(1), pages 21582440221, March.
    13. Theresa Thompson Chaudhry & Maha Khan & Azka Sarosh Mir, 2021. "Son‐biased fertility stopping, birth spacing, and child nutritional status in Pakistan," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 712-736, May.
    14. Francesco Bogliacino & Rafael Charris & Camilo Gómez & Felipe Montealegre & Cristiano Codagnone, 2021. "Expert endorsement and the legitimacy of public policy. Evidence from Covid19 mitigation strategies," Journal of Risk Research, Taylor & Francis Journals, vol. 24(3-4), pages 394-415, April.
    15. Katie Adamek & Sarah Bardin & So O'Neil & Dara Lee Luca, "undated". "Accelerating Teen Pregnancy Prevention in Phillips County, Arkansas and Coahoma County, Mississippi," Mathematica Policy Research Reports 7fda86cbb1bf4303a84f466e8, Mathematica Policy Research.
    16. Fan, Xudong & Wang, Xiaowei & Zhang, Xijin & ASCE Xiong (Bill) Yu, P.E.F., 2022. "Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    17. Kellen J. Karimi & Aijaz Ahmad & Adriano Duse & Mutuku Mwanthi & Richard Ayah, 2022. "Prevalence of Antibiotic Use and Disposal at Household Level in Informal Settlements of Kisumu, Kenya," IJERPH, MDPI, vol. 20(1), pages 1-12, December.
    18. ADEBOLA, Olukemi Grace, 2020. "Universal Health Coverage In Nigeria And Its Determinants: The Case Of National Health Insurance Scheme," Academic Review of Humanities and Social Sciences, Bursa Teknik Üniversitesi, vol. 3(1), pages 97-111.
    19. Adham Alsharkawi & Mohammad Al-Fetyani & Maha Dawas & Heba Saadeh & Musa Alyaman, 2021. "Poverty Classification Using Machine Learning: The Case of Jordan," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    20. Yann Guédon, 2013. "Exploring the latent segmentation space for the assessment of multiple change-point models," Computational Statistics, Springer, vol. 28(6), pages 2641-2678, December.

    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:sae:inddev:v:14:y:2020:i:3:p:394-406. 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: SAGE Publications (email available below). General contact details of provider: .

    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.