IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29192.html
   My bibliography  Save this paper

Using Household Rosters from Survey Data to Estimate All-cause Mortality during COVID in India

Author

Listed:
  • Anup Malani
  • Sabareesh Ramachandran

Abstract

Official statistics on deaths due to COVID undercount deaths due to lack of testing. In developed countries, death registries have been used to measure total excess death during the pandemic. However, very few developing countries have even partial death registries or the capacity to register deaths during a pandemic. In this paper we estimate excess deaths in India using the member roster of a large and representative household panel survey. We estimate roughly 6.3 million excess deaths during the pandemic through August 2021. We cannot demonstrate causality between COVID and deaths but the timing and age structure of deaths is consistent with the COVID pandemic and excess deaths are positively correlated with reported infections. Finally, we find that excess deaths were higher among higher-income persons and were negatively associated with mobility. The methods in this paper can be used in countries with a household panel to measure health-related demographic indicators.

Suggested Citation

  • Anup Malani & Sabareesh Ramachandran, 2021. "Using Household Rosters from Survey Data to Estimate All-cause Mortality during COVID in India," NBER Working Papers 29192, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29192
    Note: DEV EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29192.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    2. Manfred S Green & Dorit Nitzan & Naama Schwartz & Yaron Niv & Victoria Peer, 2021. "Sex differences in the case-fatality rates for COVID-19—A comparison of the age-related differences and consistency over seven countries," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
    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. Arpit Gupta & Anup Malani & Bartosz Woda, 2021. "Inequality in India Declined During COVID," NBER Working Papers 29597, National Bureau of Economic Research, Inc.
    2. Anup Malani & Satej Soman & Sabareesh Ramachandran & Alice Chen & Darius N. Lakdawalla, 2022. "Vaccine Allocation Priorities Using Disease Surveillance and Economic Data," NBER Working Papers 29682, National Bureau of Economic Research, Inc.

    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. Malani, Anup & Ramachandran, Sabareesh, 2022. "Using household rosters from survey data to estimate all-cause excess death rates during the COVID pandemic in India," Journal of Development Economics, Elsevier, vol. 159(C).
    2. Guido de Blasio & Daniela Vuri, 2019. "Effects of the Joint Custody Law in Italy," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(3), pages 479-514, September.
    3. Mark Carlson & Kris James Mitchener, 2009. "Branch Banking as a Device for Discipline: Competition and Bank Survivorship during the Great Depression," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 165-210, April.
    4. Pritchett, Lant, 2023. "Rely (only) on the rigorous evidence” is bad advice," LSE Research Online Documents on Economics 119818, London School of Economics and Political Science, LSE Library.
    5. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    6. Deborah A. Cobb-Clark & Chris Ryan & Ana Sartbayeva, 2009. "Taking Chances: The Effect of Growing Up on Welfare on the Risky Behaviour of Young People," CEPR Discussion Papers 604, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    7. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
    8. Wang, Hui & Riedinger, Jeffrey & Jin, Songqing, 2015. "Land documents, tenure security and land rental development: Panel evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 220-235.
    9. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
    10. Dmitri Kirpichev & Enrique Moral-Benito, 2018. "The costs of trade protectionism: evidence from Spanish firms and non-tariff measures," Working Papers 1814, Banco de España.
    11. Roxana Elena Manea, 2021. "School Feeding Programmes, Education and Food Security in Rural Malawi," CIES Research Paper series 63-2020, Centre for International Environmental Studies, The Graduate Institute.
    12. Awaworyi Churchill, Sefa & Smyth, Russell & Trinh, Trong-Anh, 2022. "Energy poverty, temperature and climate change," Energy Economics, Elsevier, vol. 114(C).
    13. Meroni, Elena Claudia & Piazzalunga, Daniela & Pronzato, Chiara D., 2018. "Use of Extra-School Time and Child Behaviours: Evidence from the UK," IZA Discussion Papers 11606, Institute of Labor Economics (IZA).
    14. Anne Ardila Brenøe & Ulf Zölitz, 2020. "Exposure to More Female Peers Widens the Gender Gap in STEM Participation," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1009-1054.
    15. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    16. Matthew Gentzkow, 2007. "Valuing New Goods in a Model with Complementarity: Online Newspapers," American Economic Review, American Economic Association, vol. 97(3), pages 713-744, June.
    17. Nancy Reichman & Hope Corman & Kelly Noonan, 2004. "Effects of child health on parents’ relationship status," Demography, Springer;Population Association of America (PAA), vol. 41(3), pages 569-584, August.
    18. Galletta, Sergio, 2017. "Law enforcement, municipal budgets and spillover effects: Evidence from a quasi-experiment in Italy," Journal of Urban Economics, Elsevier, vol. 101(C), pages 90-105.
    19. Fu, Tong & Jian, Ze, 2020. "A developmental state: How to allocate electricity efficiently in a developing country," Energy Policy, Elsevier, vol. 138(C).
    20. Emil Verner & Győző Gyöngyösi, 2020. "Household Debt Revaluation and the Real Economy: Evidence from a Foreign Currency Debt Crisis," American Economic Review, American Economic Association, vol. 110(9), pages 2667-2702, September.

    More about this item

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    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:nbr:nberwo:29192. 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: https://edirc.repec.org/data/nberrus.html .

    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.