A Random Physicist Takes on Economics

<p>Jason Smith is a physicist who took to economics. He has used modern information theory to build a different approach to analysing and predicting economic data. Jason always has a fresh and unexpected approach to things and remains an empiricist through and through. We had a super interesting chat that ranged from economic methdology to machine learning and AI to workers' rights and unemployment.</p><br /><p>His academic paper on information theory and economics is here:</p><p>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3094757</p><br /><p>He has a well circulated article critiquing Hayek’s approach to information: https://evonomics.com/hayek-meets-information-theory-fails/</p><br /><p>He has a substack: https://substack.com/@infoeqm but also check out his old blog: https://informationtransfereconomics.blogspot.com/</p><br /><p>He has written two books: A Random Physicist Takes on Economics and A Workers' History of the United States 1948-2020.</p><br /><p>Originally recorded on 16th December 2024. </p><hr /><p style="color: grey; font-size: 0.75em;"> Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer" style="color: grey;" target="_blank">acast.com/privacy</a> for more information.</p>