A
Anton Pichler
Researcher at University of Oxford
Publications - 24
Citations - 864
Anton Pichler is an academic researcher from University of Oxford. The author has contributed to research in topics: Supply and demand & Production (economics). The author has an hindex of 7, co-authored 22 publications receiving 424 citations.
Papers
More filters
Journal ArticleDOI
Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective
R. Maria del Rio Chanona,Penny Mealy,Anton Pichler,François Lafond,J. Doyne Farmer,J. Doyne Farmer +5 more
TL;DR: In this article, the authors provide quantitative predictions of first-order supply and demand shocks for the US economy associated with the [Coronavirus Disease 2019] COVID-19 pandemic at the level of individual occupations and industries.
Journal ArticleDOI
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
TL;DR: In this article, the authors 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 industries.
Posted Content
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
TL;DR: In this article, the authors 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 industries.
Posted Content
Production networks and epidemic spreading: How to restart the UK economy?
TL;DR: In this paper, the authors analyse the economics and epidemiology of different scenarios for a phased restart of the UK economy, and investigate six different re-opening scenarios, presenting their best estimates for the increase in R0 and increase in GDP.
Journal ArticleDOI
What is the minimal systemic risk in financial exposure networks
TL;DR: In this paper, the authors quantify how much systemic risk can be eliminated in financial contract networks by rearranging their network topology by using mixed integer linear programming, whereas the overall economic conditions of banks, such as capital buffers, total interbank assets and liabilities, and average risk-weighted exposure remain unchanged.