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Susan Athey on Machine Learning, Big Data, and Causation
Episode 542

Susan Athey on Machine Learning, Big Data, and Causation

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.

EconTalk · EconTalk: Russ Roberts

September 12, 20161h 1m

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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.

Topics

economicsdataeconlibsusan atheyeconometricspolicyartificial intelligencetechnology