Using a Bayesian-estimated structural multivariate filtering model calibrated to data for Australia and the United States, the innovation of the paper presented by Augustus in this webinar is the incorporation of climate hysteresis into the estimation of potential output and the output and unemployment gaps. The results suggest non-trivia implications for monetary policy in a carbon-constrained world.
Economic recovery from COVID19 will require a massive global stimulus. Join Barbara Buchner (Climate Policy Initiative), Frank Jotzo (ANU) and Adele Morris (Brookings Institution) in a discussion on how the required stimulus presents an opportunity for governments to address the pressing need for solutions to climate change, while at the same time supporting economic recovery.
The paper presented in this seminar examines the impact of the behavioral changes and governments’ responses to the spread of the COVID-19 pandemic using a unique dataset of daily private forecasters’ expectations on a sample of 32 emerging and advanced economies from January 1 until April 13, 2020.
The pace of evolution of COVID-19 has meant the need for new data and methods of analysing data more urgently than ever before. Our speakers are Anthony Goldbloom (CEO and founder of Kaggle, the world’s largest machine learning community), David Gruen (Australian Statistician and Agency Head of the Australian Bureau of Statistics), and Tara Sinclair (Associate Professor at George Washington University and Senior Fellow of the Indeed Hiring Lab). Our speakers will share their substantial experience in their critical roles being on the frontline of COVID-19 and managing data.