IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27217.html
   My bibliography  Save this paper

The Long-Term Cognitive and Schooling Effects of Childhood Vaccinations in China

Author

Listed:
  • Hamid R. Oskorouchi
  • Alfonso Sousa-Poza
  • David E. Bloom

Abstract

By exploiting rich retrospective data on childhood immunization, socioeconomics, and health status in China (the China Health and Retirement Longitudinal Study), we assess the long-term effects of childhood vaccination on cognitive and educational outcomes in that country. To do so, we apply various techniques (e.g., propensity score and coarsened exact matching and correlated random effects) to different sets of conditioning variables and subsamples to estimate the average treatment on the treated effect of childhood vaccination. Our results confirm that vaccinations before the age of 15 have long-term positive and economically meaningful effects on nonhealth outcomes such as education and cognitive skills. These effects are relatively strong, with vaccinated individuals enjoying about one more year of schooling and performing substantially better later in life on several cognitive tests.

Suggested Citation

  • Hamid R. Oskorouchi & Alfonso Sousa-Poza & David E. Bloom, 2020. "The Long-Term Cognitive and Schooling Effects of Childhood Vaccinations in China," NBER Working Papers 27217, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27217
    Note: CH ED EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27217.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. James P. Smith, 2009. "The Impact of Childhood Health on Adult Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 478-489, August.
    2. Aline Bütikofer & Kjell G Salvanes, 2020. "Disease Control and Inequality Reduction: Evidence from a Tuberculosis Testing and Vaccination Campaign," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(5), pages 2087-2125.
    3. Nandi, Arindam & Kumar, Santosh & Shet, Anita & Bloom, David E. & Laxminarayan, Ramanan, 2020. "Childhood vaccinations and adult schooling attainment: Long-term evidence from India's Universal Immunization Programme," Social Science & Medicine, Elsevier, vol. 250(C).
    4. James Smith, 2009. "Reconstructing childhood health histories," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 387-403, May.
    5. John J. McArdle & James P. Smith & Robert Willis, 2011. "Cognition and Economic Outcomes in the Health and Retirement Survey," NBER Chapters, in: Explorations in the Economics of Aging, pages 209-233, National Bureau of Economic Research, Inc.
    6. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    7. Lei, Xiaoyan & Smith, James P. & Sun, Xiaoting & Zhao, Yaohui, 2014. "Gender differences in cognition in China and reasons for change over time: Evidence from CHARLS," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 46-55.
    8. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    9. David E. Bloom & David Canning & Erica S. Shenoy, 2012. "The effect of vaccination on children's physical and cognitive development in the Philippines," Applied Economics, Taylor & Francis Journals, vol. 44(21), pages 2777-2783, July.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Abeliansky, Ana Lucia & Strulik, Holger, 2018. "Hungry children age faster," Economics & Human Biology, Elsevier, vol. 29(C), pages 211-220.
    13. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    14. John Giles & Albert Park & Meiyan Wang, 2019. "The Great Proletarian Cultural Revolution, Disruptions to Education, and the Returns to Schooling in Urban China," Economic Development and Cultural Change, University of Chicago Press, vol. 68(1), pages 131-164.
    15. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    16. Chuard, Caroline & Schwandt, Hannes & Becker, Alex & Haraguchi, Masahiko, 2022. "Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination," IZA Discussion Papers 15420, Institute of Labor Economics (IZA).
    17. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LLC, vol. 9(4), pages 524-546, December.
    18. Barteska, Philipp & Dobkowitz, Sonja & Olkkola, Maarit & Rieser, Michael, 2023. "Mass vaccination and educational attainment: Evidence from the 1967–68 Measles Eradication Campaign," Journal of Health Economics, Elsevier, vol. 92(C).
    19. J. Driessen & A. Razzaque & D. Walker & D. Canning, 2015. "The effect of childhood measles vaccination on school enrolment in Matlab, Bangladesh," Applied Economics, Taylor & Francis Journals, vol. 47(55), pages 6019-6040, November.
    20. Rellstab, Sara & Bakx, Pieter & García-Gómez, Pilar & van Doorslaer, Eddy, 2020. "The kids are alright - labour market effects of unexpected parental hospitalisations in the Netherlands," Journal of Health Economics, Elsevier, vol. 69(C).
    21. Gerard J. van den Berg & Stephanie von Hinke & Nicolai Vitt, 2023. "Early life exposure to measles and later-life outcomes: Evidence from the introduction of a vaccine," Papers 2301.10558, arXiv.org.
    22. Li Zhang & Jiao Yang & Zhangyi Liao & Xiaomeng Zhao & Xuefeng Hu & Wenli Zhu & Zhaofeng Zhang, 2019. "Association between Diabetes and Cognitive Function among People over 45 Years Old in China: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(7), pages 1-12, April.
    23. Fan, Wen, 2016. "Turning point or selection? The effect of rustication on subsequent health for the Chinese Cultural Revolution cohort," Social Science & Medicine, Elsevier, vol. 157(C), pages 68-77.
    24. Meng, Xin & Gregory, R G, 2002. "The Impact of Interrupted Education on Subsequent Educational Attainment: A Cost of the Chinese Cultural Revolution," Economic Development and Cultural Change, University of Chicago Press, vol. 50(4), pages 935-959, July.
    25. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    26. Yanbin Chen & Yumei Guo & Jingyi Huang & Yang Song, 2019. "Intergenerational transmission of education in China: New evidence from the Chinese Cultural Revolution," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 501-527, February.
    27. Kesavayuth, Dusanee & Liang, Yufang & Zikos, Vasileios, 2018. "An active lifestyle and cognitive function: Evidence from China," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 183-191.
    28. Smith, James P. & Strauss, John & Zhao, Yaohui, 2014. "Healthy aging in China," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 37-43.
    29. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Elovainio, Marko & Hutri-Kähönen, Nina & Juonala, Markus & Lehtimäki, Terho & Pahkala, Katja & Rovio, Suvi & Pulkki-Råback, Laura & Raitakari, Ol, 2020. "Do childhood infections affect labour market outcomes in adulthood and, if so, how?," Economics & Human Biology, Elsevier, vol. 37(C).
    30. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    31. Emily C. Lawler, 2020. "Giving Teens a Boost?," American Journal of Health Economics, University of Chicago Press, vol. 6(2), pages 251-287.
    32. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LLC, vol. 2(4), pages 358-377, November.
    33. Teresa Molina, 2016. "Reporting Heterogeneity and Health Disparities Across Gender and Education Levels: Evidence From Four Countries," Demography, Springer;Population Association of America (PAA), vol. 53(2), pages 295-323, 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. Gudrun Østby & Olga Shemyakina & Andreas Forø Tollefsen & Henrik Urdal & Marijke Verpoorten, 2021. "Public Health and Armed Conflict: Immunization in Times of Systemic Disruptions," Population and Development Review, The Population Council, Inc., vol. 47(4), pages 1143-1177, December.

    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. Joseph, George & Hoo, Yi Rong & Moqueet, Nazia Sultana & Chellaraj, Gnanaraj, 2023. "Early-life exposure to unimproved sanitation and delayed school enrollment: Evidence from Bangladesh," World Development Perspectives, Elsevier, vol. 32(C).
    2. Vikram, Kriti & Chindarkar, Namrata, 2020. "Bridging the gaps in cognitive achievement in India: The crucial role of the integrated child development services in early childhood," World Development, Elsevier, vol. 127(C).
    3. Prakash, Kushneel & Kumar, Sanjesh, 2021. "“Smoking your child’s job away”: Parental smoking during one’s childhood and the probability of being employed in adulthood," Journal of Business Research, Elsevier, vol. 136(C), pages 86-98.
    4. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    5. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    6. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    7. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    8. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LLC, vol. 7(3), pages 334-350, September.
    9. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Silva Quintero, Edgar, 2016. "How Forced Displacements Caused by a Violent Conflict Affect Wages in Colombia," IZA Discussion Papers 9926, Institute of Labor Economics (IZA).
    10. Esaka, Taro, 2013. "Evaluating the effect of de facto pegs on currency crises," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 943-963.
    11. Ashok K. Mishra & Anjani Kumar & Pramod K. Joshi & Alwin D'Souza, 2018. "Cooperatives, contract farming, and farm size: The case of tomato producers in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 865-886, October.
    12. Sánchez-Braza, Antonio & Pablo-Romero, María del P., 2014. "Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)," Energy Policy, Elsevier, vol. 67(C), pages 832-843.
    13. Manuela Deidda & Adriana Di Liberto & Marta Foddi & Giovanni Sulis, 2015. "Employment subsidies, informal economy and women’s transition into work in a depressed area: evidence from a matching approach," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-25, December.
    14. Anupam Nanda, 2005. "Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?," Working papers 2005-47, University of Connecticut, Department of Economics, revised Jul 2006.
    15. Aradom Gebrekidan Abbay & Roel Rutten, 2016. "Does spatial proximity to small towns matter for rural livelihoods? A propensity score matching analysis in Ethiopia," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 287-307, October.
    16. Weber, Olaf & Ahmad, Adnan, 2014. "Empowerment Through Microfinance: The Relation Between Loan Cycle and Level of Empowerment," World Development, Elsevier, vol. 62(C), pages 75-87.
    17. Anders, Sven & Schroeter, Christiane, 2015. "The Impact of Nutritional Supplement Choices on Diet Behavior and Obesity Outcomes," 2016 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212806, Agricultural and Applied Economics Association.
    18. Millemaci, Emanuele & Sciulli, Dario, 2011. "The causal effect of family difficulties during childhood on adult labour market outcomes," MPRA Paper 29026, University Library of Munich, Germany.
    19. Marta Bengoa & Christopher Rick, 2020. "Chinese Hukou Policy and Rural-to-Urban Migrants’ Health: Evidence from Matching Methods," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 224-259, April.
    20. Emanuele Millemaci & Dario Sciulli, 2014. "The long-term impact of family difficulties during childhood on labor market outcomes," Review of Economics of the Household, Springer, vol. 12(4), pages 663-687, December.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:27217. 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.