Assessing Alternative Indicators for Covid-19 Policy Evaluation, with a Counterfactual for Sweden
Giancarlo Spagnolo (),
Chiara Latour () and
Franco Peracchi ()
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Giancarlo Spagnolo: Stockholm Institute of Transition Economics, Postal: Stockholm Institute of Transition Economics, Stockholm School of Economics, P.O. Box 6501, SE-113 83 Stockholm, Sweden, https://www.hhs.se/en/research/institutes/site/people/spagnolo-giancarlo/
Chiara Latour: Stockholm University
No 55, SITE Working Paper Series from Stockholm School of Economics, Stockholm Institute of Transition Economics
We compare different indicators of the spread and consequences of the COVID-19 pandemic, developing a novel method to adjust daily COVID-19 deaths to match weekly excess mortality. Focusing on Sweden, the only country that has good data and did not impose a lockdown, we construct counterfactuals for what would have happened if it had imposed a lockdown, using a synthetic control method. Correcting for data problems and optimizing the synthetic control for each indicator considered, we find stronger effects than previously estimated. Most importantly, studying the ratio of positives to the number of tests, we find that a lockdown would have had sizable effects already after a week. The 3–4 weeks delay highlighted in previous studies appears mainly driven by the large changes in testing frequency that occurred in Sweden during the period considered.
Keywords: COVID-19 indicators; excess deaths; COVID-19 deaths; containment policies; lockdown; synthetic control method; Sweden (search for similar items in EconPapers)
JEL-codes: I18 (search for similar items in EconPapers)
Pages: 17 pages
New Economics Papers: this item is included in nep-eec and nep-eur
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Working Paper: Assessing Alternative Indicators for Covid-19 Policy Evaluation, with a Counterfactual for Sweden (2021)
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