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Backstory: Gaurav Khanna on The IT Boom and Other Consequences of Chasing the American Dream

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Manage episode 481739375 series 3664662
Content provided by UC San Diego. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UC San Diego 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.

Join Maddison as she speaks with Gaurav Khanna, Associate Professor of Economics at UC San Diego’s School of Global Policy and Strategy. In this episode, Gaurav discusses his paper, “The IT Boom and Other Unintended Consequences of Chasing the American Dream,” coauthored with Nicolas Morales. Gaurav shares the backstory behind this paper, which started when he was in grad school. In this episode, we also learn how Gaurav and his coauthor integrate micro and macro methods in this paper, and his advice to grad students working on similar types of projects.

  continue reading

38 episodes

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Manage episode 481739375 series 3664662
Content provided by UC San Diego. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by UC San Diego 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.

Join Maddison as she speaks with Gaurav Khanna, Associate Professor of Economics at UC San Diego’s School of Global Policy and Strategy. In this episode, Gaurav discusses his paper, “The IT Boom and Other Unintended Consequences of Chasing the American Dream,” coauthored with Nicolas Morales. Gaurav shares the backstory behind this paper, which started when he was in grad school. In this episode, we also learn how Gaurav and his coauthor integrate micro and macro methods in this paper, and his advice to grad students working on similar types of projects.

  continue reading

38 episodes

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