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Claudia Sahm on how Private Data can Augment Official Statistics

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Manage episode 524918607 series 3310600
Content provided by IMF Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IMF Podcasts 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://podcastplayer.com/legal.

While official statistics compiled by government agencies are still considered the most reliable, policymakers are increasingly using private data to get around their limitations. Claudia Sahm is a former principal economist at the Federal Reserve Board of Governors and has studied the growing role of alternative data in monetary policy. In this podcast, Sahm says the immediacy and granularity of private company data should serve as a complement to traditional data, not as a substitute.

Transcript: https://bit.ly/3MH31X6

Read the article at IMF.org/fandd

  continue reading

685 episodes

Artwork
iconShare
 
Manage episode 524918607 series 3310600
Content provided by IMF Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IMF Podcasts 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://podcastplayer.com/legal.

While official statistics compiled by government agencies are still considered the most reliable, policymakers are increasingly using private data to get around their limitations. Claudia Sahm is a former principal economist at the Federal Reserve Board of Governors and has studied the growing role of alternative data in monetary policy. In this podcast, Sahm says the immediacy and granularity of private company data should serve as a complement to traditional data, not as a substitute.

Transcript: https://bit.ly/3MH31X6

Read the article at IMF.org/fandd

  continue reading

685 episodes

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