ABSTRACT
Globally, the outbreak of COVID‐19 and the associated containment measures adopted by governments are causing disruptions that sow uncertainty in several sectors of the economy. In this study, we explore the asymmetric impact of pandemic uncertainty and global trade policy on food prices in Togo. The study uses a nonlinear autoregressive distributive lag (NARDL) framework and causality tests for the period 2000 M1–2021 M5. The results show that the different types of uncertainty affect food price stability in the short and long run, but the shock is more pronounced in the case of pandemic uncertainty, as they are sudden and disrupt food price stability. The main findings remain significant when we use various alternative methods and estimation techniques. However, our results suggest that the Togolese food market is facing pandemic uncertainty and trade policy, which should lead policymakers and stakeholders to take corrective measures to control losses.