P-hacking, Reproducibility & the Nobel Prize: Guido Imbens (#269)

P-hacking, Reproducibility & the Nobel Prize: Guido Imbens (#269)

P-hacking, Reproducibility & the Nobel Prize: Guido Imbens
2 Stunden 8 Minuten
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A podcast of science stories, ideas, and speculations. Hosted by Professor Brian Keating

Beschreibung

vor 3 Jahren
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 Watch the video with slides here:
https://youtu.be/q1cPyE9rAD4 Connect with me: Twitter:
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