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

Indhold leveret af Linear Digressions, Ben Jaffe, and Katie Malone. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Linear Digressions, Ben Jaffe, and Katie Malone eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

4+ y ago 20:48

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Indhold leveret af Linear Digressions, Ben Jaffe, and Katie Malone. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Linear Digressions, Ben Jaffe, and Katie Malone eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

#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

23 subscribers

published 4+ y ago

Del

MP3•Episode hjem

Indhold leveret af Linear Digressions, Ben Jaffe, and Katie Malone. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Linear Digressions, Ben Jaffe, and Katie Malone eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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

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