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Cato Podcast

Pandemic Lockdowns and Valuing Lives

Cato Podcast

Cato Institute

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

4.5979 Ratings

🗓️ 24 April 2020

⏱️ 13 minutes

🧾️ Download transcript

Summary

Economist David Henderson believes the lockdowns in response to COVID-19 need to end sooner than later.

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Transcript

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0:00.0

This is Kato Daily Podcast for Friday, April 24th, 2020.

0:08.1

I'm Caleb Brown.

0:09.2

Arriving of the correct policy response to the coronavirus is vexing elected officials and driving a variety

0:15.2

of responses.

0:16.5

David Henderson is a senior fellow at the American Institute for Economic Research.

0:21.1

He argues that there are a number of good reasons to protect those who are vulnerable,

0:25.0

but otherwise open things back up sooner than later.

0:28.0

We spoke last week.

0:30.0

In any conventional setting where you have some number of human deaths that are very likely, if not known, absolutely, and a government is trying to make a decision about what economic damage is acceptable to avoid those deaths.

0:52.0

How do economists think about that? Is it different than the way say

0:55.2

actuaries would think about it? Yeah actuaries typically will look at

1:00.8

earnings losses. Econom economists look at how people value their own lives,

1:06.5

and so the typical thing people have used, and I actually questioned this in a blog post recently

1:11.7

because of a contradiction it led to is people use

1:14.9

something called, or economists use something called VSL value of a statistical life and

1:19.2

here's what they do to get that. They look at people in a risky occupation, and a risky occupation might be one where there's an extra 1 in 10,000 probability of dying in a year.

1:30.0

And then they see how much workers insist on being paid as a premium to take that job versus

1:36.1

other jobs that are equal in other respects.

1:39.3

And let's say they come up with $500 as the annual pay needed.

1:46.4

Then they say, okay, if you had 10,000 workers

1:49.0

each taking a one in 10,000 risk,

1:51.9

that would be an expected number of deaths, expected in a statistical sense of one.

...

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