IDEAS home Printed from https://ideas.repec.org/a/oup/emjrnl/v24y2021i3p353-376..html
   My bibliography  Save this article

The spread of COVID-19 and the BCG vaccine: A natural experiment in reunified Germany

Author

Listed:
  • Richard Bluhm
  • Maxim Pinkovskiy

Abstract

SummaryThe ‘BCG hypothesis' suggests that the Bacillus Calmette-Guérin (BCG) vaccine against tuberculosis limits the severity of COVID-19. We exploit the differential vaccination practices of East Germany and West Germany prior to reunification to test this hypothesis. Using a difference in regression discontinuities (RD-DD) design centred on the end of universal vaccination in the West, we find that differences in COVID-19 severity across cohorts in the East and West are insignificant or have the wrong sign. We document a sharp cross-sectional discontinuity in the severity of the disease, which we attribute to limited mobility across the long-gone border and which disappears when we control for social connectedness. Case and death data after the end of the first lockdown on 26 April does not display a discontinuity at the former border, suggesting that mobility (as opposed to BCG vaccination) played a major role during the initial outbreak.

Suggested Citation

  • Richard Bluhm & Maxim Pinkovskiy, 2021. "The spread of COVID-19 and the BCG vaccine: A natural experiment in reunified Germany," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 353-376.
  • Handle: RePEc:oup:emjrnl:v:24:y:2021:i:3:p:353-376.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ectj/utab006
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lalive, Rafael, 2008. "How do extended benefits affect unemployment duration A regression discontinuity approach," Journal of Econometrics, Elsevier, vol. 142(2), pages 785-806, February.
    2. repec:clg:wpaper:2013-20 is not listed on IDEAS
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    5. Sascha O. Becker & Lukas Mergele & Ludger Woessmann, 2020. "The Separation and Reunification of Germany: Rethinking a Natural Experiment Interpretation of the Enduring Effects of Communism," Journal of Economic Perspectives, American Economic Association, vol. 34(2), pages 143-171, Spring.
    6. MacKinnon, James G. & Webb, Matthew D., 2015. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Queen's Economics Department Working Papers 274639, Queen's University - Department of Economics.
    7. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    8. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    9. Wolf, Nikolaus & Eckardt, Matthias, 2020. "Covid-19 across European Regions: the Role of Border Controls," CEPR Discussion Papers 15178, C.E.P.R. Discussion Papers.
    10. Michael Bailey & Rachel Cao & Theresa Kuchler & Johannes Stroebel & Arlene Wong, 2018. "Social Connectedness: Measurement, Determinants, and Effects," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 259-280, Summer.
    11. Alberto Alesina & Nicola Fuchs-Schündeln, 2007. "Goodbye Lenin (or Not?): The Effect of Communism on People," American Economic Review, American Economic Association, vol. 97(4), pages 1507-1528, September.
    12. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    13. Santamaria, Marta, 2020. "Reshaping Infrastructure: Evidence from the division of Germany," The Warwick Economics Research Paper Series (TWERPS) 1244, University of Warwick, Department of Economics.
    14. Fuchs-Schündeln, N. & Hassan, T.A., 2016. "Natural Experiments in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 923-1012, Elsevier.
    15. Alberto Alesina & Nicola Fuchs-Schundeln, 2005. "Good bye Lenin (or not?): The effect of Communism on people's preferences," Harvard Institute of Economic Research Working Papers 2076, Harvard - Institute of Economic Research.
    16. Melissa Dell, 2010. "The Persistent Effects of Peru's Mining Mita," Econometrica, Econometric Society, vol. 78(6), pages 1863-1903, November.
    17. Manasi Deshpande, 2016. "Does Welfare Inhibit Success? The Long-Term Effects of Removing Low-Income Youth from the Disability Rolls," American Economic Review, American Economic Association, vol. 106(11), pages 3300-3330, November.
    18. Webb, Matthew D., 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Queen's Economics Department Working Papers 274640, Queen's University - Department of Economics.
    19. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    20. Amy Wesolowski & Elisabeth zu Erbach-Schoenberg & Andrew J. Tatem & Christopher Lourenço & Cecile Viboud & Vivek Charu & Nathan Eagle & Kenth Engø-Monsen & Taimur Qureshi & Caroline O. Buckee & C. J. , 2017. "Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    21. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    22. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    23. Santamaria, Marta, 2020. "Reshaping Infrastructure : Evidence from the division of Germany," CAGE Online Working Paper Series 456, Competitive Advantage in the Global Economy (CAGE).
    24. Solomon Hsiang & Daniel Allen & Sébastien Annan-Phan & Kendon Bell & Ian Bolliger & Trinetta Chong & Hannah Druckenmiller & Luna Yue Huang & Andrew Hultgren & Emma Krasovich & Peiley Lau & Jaecheol Le, 2020. "The effect of large-scale anti-contagion policies on the COVID-19 pandemic," Nature, Nature, vol. 584(7820), pages 262-267, August.
    25. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    26. Douglas Almond & Janet Currie, 2011. "Killing Me Softly: The Fetal Origins Hypothesis," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 153-172, Summer.
    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. Reinhold Kosfeld & Timo Mitze & Johannes Rode & Klaus Wälde, 2021. "The Covid‐19 containment effects of public health measures: A spatial difference‐in‐differences approach," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 799-825, September.
    2. Pronkina, Elizaveta & Berniell, Inés & Fawaz, Yarine & Laferrère, Anne & Mira, Pedro, 2023. "The COVID-19 curtain: Can past communist regimes explain the vaccination divide in Europe?," Social Science & Medicine, Elsevier, vol. 321(C).
    3. Kim, Seonghoon & Koh, Kanghyock & Lyou, Wonjun, 2024. "The Effects of Patient Cost-Sharing on Adolescents' Healthcare Utilization and Financial Risk Protection: Evidence from South Korea," IZA Discussion Papers 16897, Institute of Labor Economics (IZA).
    4. Seonghoon Kim & Kanghyock Koh & Wonjun Lyou, 2024. "The effects of patient cost‐sharing on adolescents' healthcare utilization and financial risk protection: Evidence from South Korea," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 1009-1023, July.
    5. Wei-Ju Su & Chia-Hsuin Chang & Jiun-Ling Wang & Shu-Fong Chen & Chin-Hui Yang, 2021. "COVID-19 Severity and Neonatal BCG Vaccination among Young Population in Taiwan," IJERPH, MDPI, vol. 18(8), pages 1-7, April.
    6. Ehlert, Andree, 2021. "The socio-economic determinants of COVID-19: A spatial analysis of German county level data," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    7. Philipp Breidenbach & Timo Mitze, 2022. "Large-scale sport events and COVID-19 infection effects: evidence from the German professional football ‘experiment’," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 15-45.

    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    2. Hollingsworth, Bruce & Ohinata, Asako & Picchio, Matteo & Walker, Ian, 2017. "Labour supply and informal care supply: The impacts of financial support for long-term elderly care," GLO Discussion Paper Series 118, Global Labor Organization (GLO).
    3. MacKinnon, James G. & Orregaard Nielsen, Morten & Webb, Matthew D., 2017. "Bootstrap and Asymptotic Inference with Multiway Clustering," Queen's Economics Department Working Papers 274712, Queen's University - Department of Economics.
    4. Asako Ohinata & Matteo Picchio, 2020. "Financial support for long-term elderly care and household saving behaviour," Oxford Economic Papers, Oxford University Press, vol. 72(1), pages 247-268.
    5. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    6. MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
    7. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Cluster-robust inference: A guide to empirical practice," Journal of Econometrics, Elsevier, vol. 232(2), pages 272-299.
    8. MacKinnon, James G. & Nielsen, Morten Ørregaard & Webb, Matthew D., 2023. "Testing for the appropriate level of clustering in linear regression models," Journal of Econometrics, Elsevier, vol. 235(2), pages 2027-2056.
    9. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    10. Yoichi Arai & Yu‐Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2022. "Testing identifying assumptions in fuzzy regression discontinuity designs," Quantitative Economics, Econometric Society, vol. 13(1), pages 1-28, January.
    11. Congdon Fors, Heather & Houngbedji, Kenneth & Lindskog, Annika, 2019. "Land certification and schooling in rural Ethiopia," World Development, Elsevier, vol. 115(C), pages 190-208.
    12. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    13. Goussé, Marion & Leturcq, Marion, 2022. "More or less unmarried. The impact of legal settings of cohabitation on labour market outcomes," European Economic Review, Elsevier, vol. 149(C).
    14. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2021. "Wild Bootstrap and Asymptotic Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 505-519, March.
    15. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2024. "Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models," Working Paper 1515, Economics Department, Queen's University.
    16. Ivan A. Canay & Andres Santos & Azeem M. Shaikh, 2021. "The Wild Bootstrap with a “Small” Number of “Large” Clusters," The Review of Economics and Statistics, MIT Press, vol. 103(2), pages 346-363, May.
    17. James G. MacKinnon & Morten {O}rregaard Nielsen & Matthew D. Webb, 2024. "Cluster-robust jackknife and bootstrap inference for logistic regression models," Papers 2406.00650, arXiv.org, revised May 2025.
    18. Drange, Nina & Telle, Kjetil, 2015. "Promoting integration of immigrants: Effects of free child care on child enrollment and parental employment," Labour Economics, Elsevier, vol. 34(C), pages 26-38.
    19. MacKinnon, James G. & Webb, Matthew D., 2017. "Pitfalls when Estimating Treatment Effects Using Clustered Data," Queen's Economics Department Working Papers 274713, Queen's University - Department of Economics.
    20. Matthew D. Webb & Arthur Sweetman & Casey Warman, 2016. "Targeting Tax Relief at Youth Employment," Canadian Public Policy, University of Toronto Press, vol. 42(4), pages 415-430, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

    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:oup:emjrnl:v:24:y:2021:i:3:p:353-376.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.