UNSW-Sydney Finance Professor Peter Swan argues harsh COVID-19 control measures such as lockdowns have had costs far exceeding any benefits they brought.
One year on from when many countries started imposing tough COVID-19 control measures, Economics Explored host Gene Tunny asks eminent Australian finance Professor Peter Swan whether lockdowns pass a cost-benefit analysis test. Professor Swan says he stands by his view expressed last year that they do not. Listen to this episode to hear why Prof. Swan believes this is so.
About this episode's guest - Professor Peter Swan
Professor Peter Swan AO FRSN FASSA is currently in Banking and Finance, UNSW-Sydney Business School. Peter completed his Honours Economics Degree at ANU, his PhD at Monash and after a visiting position at the University of Chicago, joined the Economics faculty at ANU, then to a chair at AGSM (UNSW), and was foundation professor in the Finance Department at the University of Sydney prior to returning to UNSW in 2002 with a Scientia Professorial Award in 2003.
He was elected a Fellow of the Academy of Social Sciences in Australia in 1997 and gained recognition in the Queen’s Birthday Honours lists in 2003 and 2016 with the Order of Australia (AM) and (AO), respectively. In 2018 he was elected a Fellow of the Royal Society of New South Wales (FRSN). His Officer of the Order of Australia (AO) Citation states: “For distinguished service to finance and commerce as a leading academic, journalist, and commentator on domestic investment, and on a range of political and economic issues.” His Member of the Order of Australia (AM) Citation states: “For services to academia as a scholar and researcher and through contributions to public policy in the fields of economics and finance”.
Links relevant to this episode
Prof. Swan's Quadrant article Run the Numbers, Survey the Folly
Open letter from 122 Australian economists: don't sacrifice health for 'the economy' (which Prof. Swan critiques in his Quadrant article and in this episode)
COVID-19 deaths worldwide per million population as of March 19, 2021