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The cost of waiting and the death toll in Italy during the first wave of the covid-19 pandemic

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  • Girardi, Alessandro
  • Ventura, Marco

Abstract

This paper documents how a prompter implementation of stricter policy measures in Italy would have reduced by about one-fourth of total COVID-19-related deaths during the first wave of the pandemic. The empirical evidence suggests that rigid but timely restrictions would have been a more effective policy tool than implementing progressively stricter measures over an extended period.

Suggested Citation

  • Girardi, Alessandro & Ventura, Marco, 2023. "The cost of waiting and the death toll in Italy during the first wave of the covid-19 pandemic," Health Policy, Elsevier, vol. 134(C).
  • Handle: RePEc:eee:hepoli:v:134:y:2023:i:c:s0168851023001446
    DOI: 10.1016/j.healthpol.2023.104859
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    1. Durante, Ruben & Guiso, Luigi & Gulino, Giorgio, 2021. "Asocial capital: Civic culture and social distancing during COVID-19," Journal of Public Economics, Elsevier, vol. 194(C).
    2. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2021. "The Augmented Synthetic Control Method," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1789-1803, October.
    3. Thomas Hale & Noam Angrist & Rafael Goldszmidt & Beatriz Kira & Anna Petherick & Toby Phillips & Samuel Webster & Emily Cameron-Blake & Laura Hallas & Saptarshi Majumdar & Helen Tatlow, 2021. "A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)," Nature Human Behaviour, Nature, vol. 5(4), pages 529-538, April.
    4. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    5. De Rosis, Sabina & Lopreite, Milena & Puliga, Michelangelo & Vainieri, Milena, 2021. "The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis," Health Policy, Elsevier, vol. 125(8), pages 987-994.
    6. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 235-322.
    7. Adam Goliński & Peter Spencer, 2021. "Modeling the Covid‐19 epidemic using time series econometrics," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2808-2828, November.
    8. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    9. Sang-Wook (Stanley) Cho, 2020. "Quantifying the impact of nonpharmaceutical interventions during the COVID-19 outbreak: The case of Sweden," The Econometrics Journal, Royal Economic Society, vol. 23(3), pages 323-344.
    10. Roy Cerqueti & Raffaella Coppier & Alessandro Girardi & Marco Ventura, 2022. "The sooner the better: lives saved by the lockdown during the COVID-19 outbreak. The case of Italy," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 46-70.
    11. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    12. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    13. Buso, Irene Maria & De Caprariis, Sofia & Di Cagno, Daniela & Ferrari, Lorenzo & Larocca, Vittorio & Marazzi, Francesca & Panaccione, Luca & Spadoni, Lorenzo, 2020. "The effects of COVID-19 lockdown on fairness and cooperation: Evidence from a lablike experiment," Economics Letters, Elsevier, vol. 196(C).
    14. 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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    Cited by:

    1. Ferro, Simone & Riganti, Andrea, 2024. "The hidden toll of the pandemic on nonrespiratory patients," Health Policy, Elsevier, vol. 143(C).

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    More about this item

    Keywords

    Covid-19; Lockdown; Synthetic control method;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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