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Christopher Adams on Econometrics at the CBO | Debugged Episode #13

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Manage episode 328022310 series 3288524
Content provided by Congressional App Challenge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Congressional App Challenge 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.

In this episode of Debugged, Medha Gupta sits down with Christopher Adams, a drug policy analyst with the Congressional Budget Office (CBO), current professor at Dartmouth College, and former antitrust and competition specialist at the Federal Trade Commission (FTC). Adams discusses the effects of the capabilities of new technology like machine learning on the CBO’s forecasts regarding key U.S legislative decisions and in fields like economics and data analysis. Adams gives his take on why he joined the CBO and his inspiration for working in econometrics and statistics, and his most memorable moments working thus far in both the CBO and FTC. Furthermore, Adams elaborates on the skills needed for students to join the next generation of econometricians at the CBO and his inspiration for learning programming - an important skill in his field. Finally, Adams notes the most impactful research papers in the field of econometrics. With an all new Pop Culture Byte with host Michael Batavia, this is a must-listen episode of the Debugged podcast!

  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 328022310 series 3288524
Content provided by Congressional App Challenge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Congressional App Challenge 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.

In this episode of Debugged, Medha Gupta sits down with Christopher Adams, a drug policy analyst with the Congressional Budget Office (CBO), current professor at Dartmouth College, and former antitrust and competition specialist at the Federal Trade Commission (FTC). Adams discusses the effects of the capabilities of new technology like machine learning on the CBO’s forecasts regarding key U.S legislative decisions and in fields like economics and data analysis. Adams gives his take on why he joined the CBO and his inspiration for working in econometrics and statistics, and his most memorable moments working thus far in both the CBO and FTC. Furthermore, Adams elaborates on the skills needed for students to join the next generation of econometricians at the CBO and his inspiration for learning programming - an important skill in his field. Finally, Adams notes the most impactful research papers in the field of econometrics. With an all new Pop Culture Byte with host Michael Batavia, this is a must-listen episode of the Debugged podcast!

  continue reading

38 episodes

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