In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model
Dr. François Lafond, University of Oxford
Economic shocks due to Covid-19 were exceptional in their severity, suddenness and heterogeneity across industries. To study the upstream and downstream propagation of these industry-specific demand and supply shocks, we build a dynamic input-output model inspired by previous work on the economic response to natural disasters. We argue that standard production functions, at least in their most parsimonious parametrizations, are not adequate to model input substitutability in the context of Covid-19 shocks. We use a survey of industry analysts to evaluate, for each industry, which inputs were absolutely necessary for production over a short time period. We calibrate our model on the UK economy and study the economic effects of the lockdown that was imposed at the end of March and gradually released in May. Looking back at predictions that we released in May, we show that the model predicted aggregate dynamics very well, and sectoral dynamics to a large extent. We discuss the relative extent to which the model’s dynamics and performance was due to the choice of the production function or the choice of an exogenous shock scenario. To further explore the behavior of the model, we use simpler scenarios with only demand or supply shocks, and find that popular metrics used to predict a priori the impact of shocks, such as output multipliers, are only mildly useful.
Please find here the papers that will be covered in this seminar: https://arxiv.org/pdf/2102.09608.pdf,
About the speaker
Dr. François Lafond is deputy director of the Complexity Economics programme at the Institute for New Economic Thinking, senior research associate at the Mathematical Institute, and associate member of Nuffield college, University of Oxford. He received his PhD from UNU-MERIT. His main areas of research are in the economics of innovation and productivity, environmental economics, networks and complex systems, applied econometrics and forecasting.
Venue: via Zoom (please contact us at email@example.com for the Zoom link)
Date: 25 March 2021
Time: 12:00 - 13:00