Forecasting the effective reproduction number during a pandemic: COVID-19 R t forecasts, governmental decisions and economic implications

Abstract

Abstract Accepted by: Prof. M. Zied Babai This research empirically identifies the best-performing forecasting methods for the Effective Reproduction Number Rt of coronavirus disease 2019, the most used epidemiological parameter for policymaking during the pandemic. Furthermore, based on the most accurate forecasts for the United Kingdom, we model the excess exports and imports during the pandemic (using World Trade Organization data), whilst simultaneously controlling for governmental decisions, i.e. lockdown(s) and vaccination. We provide empirical evidence that the longer the lockdown lasts, the larger the cost to the economy is, predominantly for international trade. We show that imposing a lockdown leads to exports falling by 16.55% in the United Kingdom; without a lockdown, the respective decrease for the same period would be only 1.57%. On the other hand, efforts towards fast population vaccination improve the economy. We believe our results can help policymakers to make better decisions before and during future pandemics.