Causal Inference When You Can't Experiment: Difference-in-differences And Synthetic Controls Linear Digressions podcast

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Tech Machine Learning Linear Digressions Ben Jaffe Katie Malone Data Science Science

Content provided by Linear Digressions, Ben Jaffe, and Katie Malone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Linear Digressions, Ben Jaffe, and Katie Malone 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://ro.player.fm/legal.

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Causal inference when you can't experiment: difference-in-differences and synthetic controls

5y ago 20:48

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Content provided by Linear Digressions, Ben Jaffe, and Katie Malone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Linear Digressions, Ben Jaffe, and Katie Malone 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://ro.player.fm/legal.

When you need to untangle cause and effect, but you can’t run an experiment, it’s time to get creative. This episode covers difference in differences and synthetic controls, two observational causal inference techniques that researchers have used to understand causality in complex real-world situations.

… continue reading

291 episoade

#Tech #Machine Learning #Linear Digressions #Ben Jaffe #Katie Malone #Data Science #Science

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Causal inference when you can't experiment: difference-in-differences and synthetic controls

Linear Digressions

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published 5y ago

Distribuie

MP3•Pagina episodului

Content provided by Linear Digressions, Ben Jaffe, and Katie Malone. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Linear Digressions, Ben Jaffe, and Katie Malone 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://ro.player.fm/legal.

When you need to untangle cause and effect, but you can’t run an experiment, it’s time to get creative. This episode covers difference in differences and synthetic controls, two observational causal inference techniques that researchers have used to understand causality in complex real-world situations.

… continue reading

291 episoade

#Tech #Machine Learning #Linear Digressions #Ben Jaffe #Katie Malone #Data Science #Science

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