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Susan Athey on Machine Learning, Big Data, and Causation

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Manage episode 160301375 series 142
Content provided by Library of Economics and Liberty and Russ Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Library of Economics and Liberty and Russ Roberts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

941 episodes

Artwork
iconShare
 
Manage episode 160301375 series 142
Content provided by Library of Economics and Liberty and Russ Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Library of Economics and Liberty and Russ Roberts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

941 episodes

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