most citedProduction networks and epidemic spreading: How to restart the UK economy?

4 citations · 4 across the 1 of their papers we have counts for

collaborators

5 papers

econ.GN20204 cited

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-…

econ.GN2020

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…

cs.DL2020

The rise of science in low-carbon energy technologies

Kerstin Hötte, Anton Pichler, François Lafond

Successfully combating climate change will require substantial technological improvements in Low-Carbon Energy Technologies (LCETs), but designing efficient allocation of R\&D budg…

physics.soc-ph2020

Technological interdependencies predict innovation dynamics

Anton Pichler, François Lafond, J. Doyne Farmer

We propose a simple model where the innovation rate of a technological domain depends on the innovation rate of the technological domains it relies on. Using data on US patents fro…

econ.GN2019

Automation and occupational mobility: A data-driven network model

R. Maria del Rio-Chanona, Penny Mealy, Mariano Beguerisse-Díaz +2

The potential impact of automation on the labor market is a topic that has generated significant interest and concern amongst scholars, policymakers, and the broader public. A numb…