Video and Audio Lectures in Applied Economics
Forty minute video using narrated slides to give an overview of mathematical and economic concepts relating to COVID-19. Covers a simplified version of the SIR model of epidemics, justifying healthcare expenditure, and flattening the curve. Linked from the description are the original slides and the Excel model. Part of the CORE Economics resources created in response to the COVID-19 pandemic.
An eighty-minute video including a 45-minute presentation plus introduction and questions. The session took place on 1 May 2014 at the London School of Economics and Political Science. Ha-Joon Chang talks about different schools of thought in economics, and the responsibility of citizens to become economically literate.
Video from a 2012 TED talk, streamable online, downloadable or viewable as a transcript. Botsman talks about "reputation capital" which underlies the success of services like AirBnB.
This 22 minute audio podcast from the University of Cambridge explores the credit crunch from an interdisciplinary perspective. With contributions from John Coates, a neuroscientist and former Wall Street Trader, Martin Daunton, an economic historian and Alan Macfarlane, a social anthropologist. It looks at how the crude use of historical analogies can cloud our understanding of the credit crunch, how hormones can affect the decision-makers who control the global financial system and how the breakdown in trust is threatening the world's financial stability. Users will need a Flash based audio player to listen to the podcast online or they can download it in a variety of formats.
Delivered at Princeton University in September 2006, this hour-long video lecture by "Freakonomics" author Steven Levitt recalls some of his experience as an economics student, researcher and lecturer. He discusses how the value of advertising is assessed, the economics of prostitution, real estate sales and how altruism can be understood as maximising behaviour.
Slides, video lectures and syllabus from the Harvard introductory course "Using Big Data Solve Economic and Social Problems" which gets students using statistical science to examine topics such as equality of opportunity, education, health, the environment, and criminal justice. There are also handouts and files from four empirical projects that constitute the course.