6 citations · 10 across the 4 of their papers we have counts for
10 papers · 1 filter
Synthetic supply networks
Galvin Ng, Luca Mungo, Damien Bertrand +1
A good representation of the population of firms and households is essential for large-scale economic models. While there exist good methods to create synthetic populations of hous…
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model
Samuel Wiese, Jagoda Kaszowska-Mojsa, Joel Dyer +6
In the last few years, economic agent-based models have made the transition from qualitative models calibrated to match stylised facts to quantitative models for time series foreca…
Reconstructing supply networks
Luca Mungo, Alexandra Brintrup, Diego Garlaschelli +1
Network reconstruction is a well-developed sub-field of network science, but it has only recently been applied to production networks, where nodes are firms and edges represent cus…
Production networks and epidemic spreading: How to restart the UK economy?
Anton Pichler, Marco Pangallo, R. Maria del Rio-Chanona +2
We analyse the economics and epidemiology of different scenarios for a phased restart of the UK economy. Our economic model is designed to address the unique features of the COVID-…
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
R. Maria del Rio-Chanona, Penny Mealy, Anton Pichler +2
We provide quantitative predictions of first order supply and demand shocks for the U.S. economy associated with the COVID-19 pandemic at the level of individual occupations and in…
Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
Jangho Yang, Torsten Heinrich, Julian Winkler +3
It is well-known that value added per worker is extremely heterogeneous among firms, but relatively little has been done to characterize this heterogeneity more precisely. Here we…