Professor of Labour Economics in the Department of Economics and Management, Konstantinos Tatsiramos, has co-authored a new article entitled ‘Lockdown strategies, mobility patterns and COVID-19’ with Nikos Askitas (Coordinator of Data and Technology, IZA-Institute of Labor Economics) and Bertrand Verheyden (Senior Researcher, Luxembourg Institute of Socio-Economic Research (LISER)).
This research has been published in Issue 23 of the journal “Covid Economics, Vetted and Real-Time Papers” from the Centre for Economic Policy Research (CEPR). This innovative platform for early-stage research was created at the end of March 2020 for the purpose of quickly disseminating studies in all fields of economics related to the effects of the COVID-19 pandemic.
In the article, the researchers evaluate the effects of 8 lockdown policies[1] on the daily number of confirmed COVID-19 new cases and on the mobility patterns of the populations across 135 countries. The motivation of their research stems from the need to understand which policies have proven thus far to be the most effective in containing the virus given the important collateral economic costs that they induce. Since multiple policies were introduced almost simultaneously, the paper develops a novel approach to examine each policy’s effect while accounting for the existence of confounding concurrent policies.
While this topic is still evolving as new data becomes available, this research provides important and robust results. First, the most effective policies at reducing the daily incidence of COVID-19 are the cancelation of public events, restrictions on private gatherings and the closures of schools and workplaces. International travel controls have a significant, though short-lived, effect. Once concurrent policies are controlled for, stay-at-home orders have limited effects, while public transport closures and restrictions on movements across cities and regions have no effect.
The effects of the key policies are mediated through population mobility patterns in a manner consistent with time-use and epidemiological factors. For instance, the cancellation of public events and restrictions on private gatherings reduce exposure to the most numerous and dense locations, whereas workplace and school closures reduce contacts in somewhat less dense and populous places but with a much higher frequency.
This econometric framework is suitable for the study of dynamic effects with multiple events, which can be applied in many settings. The researchers plan to use this multiple-event model to study the effects of other policies, such as the use of masks, on other outcomes, such as deaths, as well as the impact of exit strategies.
This paper can be downloaded from the CEPR website.
[1] These policies are international travel controls, public transport closures, cancelation of public events, restrictions on private gatherings, school and workplace closures, stay-at-home requirements, and internal mobility restrictions (across cities and regions).