The Economist's Model of Growth

When Angus and I came into the profession, there was a real sense that the law of empirical work was just not credible. So what we were trying to do was find ways where people could actually do empirical work that was believable. And it also kind of forces us to be a little bit more humble and acknowledge that sometimes we are not going to be able to give credible answers but in some cases we do.

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Guido W. Imbens, along with David Card and Joshua Angrist, shared the 2021 Nobel Prize in Economics for “methodological contributions to the analysis of causal relationships”. In 2017 he received the Horace Mann medal at Brown University. An honor shared by your host Professor Brian Keating.

He is The Applied Econometrics Professor of Economics at the Stanford Graduate School of Business since 2012, and has also taught at Harvard University, UCLA, and UC Berkeley. He holds an honorary degree from the University of St Gallen. He is also the Amman Mineral Faculty Fellow at the Stanford GSB.

Imbens specializes in econometrics, and in particular methods for drawing causal inferences from experimental and observational data. He has published extensively in the leading economics and statistics journals. Together with Donald Rubin he has published a book, "Causal Inference in Statistics, Social and Biomedical Sciences”. He is a fellow of the Econometric Society, the Royal Holland Society of Sciences and Humanities, the Royal Netherlands Academy of Sciences, the American Academy of Arts and Sciences, and the American Statistical Association. He holds an honorary doctorate from the University of St. Gallen.

In this episode, Professor Imbens give his lecture on his Nobel Prize-winning thesis. See the video with the slides here: https://youtu.be/X632K3n8PPI