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Cato Podcast

Unprecedented Quirks in Economic Data Thanks to COVID-19

Cato Podcast

Cato Institute

Immigration, News, News Commentary, Peace, 424708, Markets, Government, Libertarian, Policy, Politics, Cato, Defense

4.5979 Ratings

🗓️ 24 June 2020

⏱️ 21 minutes

🧾️ Download transcript

Summary

Economist Bruce Yandle suggests that for the last several months, the U.S. has largely been a command economy. That's thanks largely to the coronavirus and the subsequent government interventions. He discusses recent economic data and some of its quirks.

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Transcript

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0:00.0

This is the Cato Daily Podcast for Wednesday, June 24th, 2020.

0:07.0

I'm Caleb Brown.

0:08.0

As COVID-19 spread across the United States,

0:11.0

governments ordered shutdowns of so-called non-essential

0:13.9

businesses and businesses in turn fur load, fired, or laid off workers. The

0:18.8

distinction among those matters when you're trying to count up unemployment.

0:23.6

Bruce Yandel is the former dean of Clemson University's College of Business and Behavioral

0:27.8

Science.

0:28.8

He also produces a quarterly economic report for the Mercatus Center. We talked about unemployment in the wake of

0:34.8

COVID-19 and other strange effects of the virus and the related government

0:40.2

interventions. Bruce you produce a quarterly economic report.

0:45.0

What have we learned from the coronavirus about our economy?

0:51.0

Wow, what a question.

0:53.0

I do turn out a quarterly report and the most recent one was posted on June the 1st.

1:00.5

But as you know, with the coronavirus, every day is another day full of news and data

1:06.4

But we have learned some things. I think the first thing that I would say we've learned is it's a whole lot easier to close down an economy than to start one up after it has been closed.

1:20.0

And so right now, anyone who is attempting to explain what the economy is doing, I would suggest,

1:28.0

has to first take into consideration that they are looking at a biological phenomenon.

1:34.3

And so then it's a guess as to what the virus is doing.

1:38.4

Is it accelerating? Is it mutating? Is it mutating? Will there be another spike? And so assumptions have to be made about the virus.

1:46.4

Then secondly, you have to make some assumptions about what state governors and mayors of

1:52.3

cities will do with respect to opening or

...

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