EconTalk

Susan Athey on Machine Learning, Big Data, and Causation

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

This episode isn’t summarized yet

Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.

Show notes

Can machine learning improve the use of data and evidence for understanding economics and public policy? Susan Athey of Stanford University talks with EconTalk host Russ Roberts about how machine learning can be used in conjunction with traditional econometric techniques to measure the impact of say, the minimum wage or the effectiveness of a new drug. The last part of the conversation looks at the experimental techniques being used by firms like Google and Amazon.

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file