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The effect of compulsory face mask policies on community mobility in Germany

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  • Roxanne Kovacs
  • Maurice Dunaiski
  • Janne Tukiainen

Abstract

There is an ongoing debate about face masks being made compulsory in public spaces to contain COVID‐19. A key concern is that such policies could undermine efforts to maintain social distancing and reduce mobility. We provide first evidence on the impact of compulsory face mask policies on community mobility. We exploit the staggered implementation of policies by German states during the first wave of the pandemic and measure mobility using geo‐located smartphone data. We find that compulsory face mask policies led to a short‐term reduction in community mobility, with no significant medium‐term effects. We can rule out even small increases in mobility.

Suggested Citation

  • Roxanne Kovacs & Maurice Dunaiski & Janne Tukiainen, 2023. "The effect of compulsory face mask policies on community mobility in Germany," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(4), pages 1027-1055, October.
  • Handle: RePEc:bla:scandj:v:125:y:2023:i:4:p:1027-1055
    DOI: 10.1111/sjoe.12537
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    1. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    2. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. 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.
    5. Kosfeld, Reinhold & Mitze, Timo & Rode, Johannes & Wälde, Klaus, 2021. "The Covid-19 containment effects of public health measures - A spatial difference-in-differences approach," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126127, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Briscese, Guglielmo & Lacetera, Nicola & Macis, Mario & Tonin, Mirco, 2023. "Expectations, reference points, and compliance with COVID-19 social distancing measures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    7. Gregory A. Wellenius & Swapnil Vispute & Valeria Espinosa & Alex Fabrikant & Thomas C. Tsai & Jonathan Hennessy & Andrew Dai & Brian Williams & Krishna Gadepalli & Adam Boulanger & Adam Pearce & Chait, 2021. "Impacts of social distancing policies on mobility and COVID-19 case growth in the US," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    8. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
    9. 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.
    10. 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.
    11. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    12. 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.
    13. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    14. Thuy D. Nguyen & Sumedha Gupta & Martin S. Andersen & Ana I. Bento & Kosali I. Simon & Coady Wing, 2021. "Impacts of state COVID‐19 reopening policy on human mobility and mixing behavior," Southern Economic Journal, John Wiley & Sons, vol. 88(2), pages 458-486, October.
    15. Thomas de Haan & Jona Linde, 2018. "‘Good Nudge Lullaby’: Choice Architecture and Default Bias Reinforcement," Economic Journal, Royal Economic Society, vol. 128(610), pages 1180-1206, May.
    16. Paul Dolan & Daniel Kahneman, 2008. "Interpretations Of Utility And Their Implications For The Valuation Of Health," Economic Journal, Royal Economic Society, vol. 118(525), pages 215-234, January.
    17. Seres, Gyula & Balleyer, Anna & Cerutti, Nicola & Friedrichsen, Jana & Süer, Müge, 2021. "Face mask use and physical distancing before and after mandatory masking: No evidence on risk compensation in public waiting lines," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 765-781.
    18. Daoust, Jean-François & Nadeau, Richard & Dassonneville, Ruth & Lachapelle, Erick & Bélanger, Éric & Savoie, Justin & van der Linden, Clifton, 2020. "How to survey citizens’ compliance with COVID-19 public health measures? Evidence from three survey experiments," SocArXiv gursd, Center for Open Science.
    19. Susan Godlonton & Alister Munthali & Rebecca Thornton, 2016. "Responding to Risk: Circumcision, Information, and HIV Prevention," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 333-349, May.
    20. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    21. Mitze, Timo & Rode, Johannes, 2022. "Early-stage spatial disease surveillance of novel SARS-CoV-2 variants of concern in Germany with crowdsourced data," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130543, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    22. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    23. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
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    More about this item

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • H10 - Public Economics - - Structure and Scope of Government - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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