{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6256a2f65777950013fadde6/6761a86d6ba7599e642bc083?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"A Random Physicist Takes on Economics","description":"<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><p><br></p><p>His academic paper on information theory and economics is here:</p><p>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3094757</p><p><br></p><p>He has a well circulated article critiquing Hayek’s approach to information: https://evonomics.com/hayek-meets-information-theory-fails/</p><p><br></p><p>He has a substack: https://substack.com/@infoeqm but also check out his old blog: https://informationtransfereconomics.blogspot.com/</p><p><br></p><p>He has written two books: A Random Physicist Takes on Economics and A Workers' History of the United States 1948-2020.</p><p><br></p><p>Originally recorded on 16th December 2024. </p>","author_name":"Unlearning Economics"}