The Indicator|Using anecdotes to predict recessions-琐简

The Indicator|Using anecdotes to predict recessions

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时间:2024-06-01

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Npr robbis smith

Uh

Why the long face i read something on the internet

That i disagree with give you haven't gotten used to this sped up

I know i know i know

But this was someone bad mouthing

The page book of all things

No

The paebook is maybe a favorite of schoill government report

It comes from the fitter reserve containing short eectes without the economy

When you know who doesn't agree with us

Journalists mat aggacious

No usually has these hot takes i enjoy

But this time on twitter

His hot take was about

Well i'm just going to have matt read it for us

What is the point to the beijbook

We supplement our statistically valid survey with another survey that's worse

Why you know here at the inicicator we love the beijbook

Because you know it tells little beaubeautistories about the economy

Uh

So why do you hate beauty

I just think it's

It's funny

Because the bashbook is supposed to be an alternative to the kind of blooddless data

Uh

But the data itself is just compiled of surveys

And so you don't want to hear like how a car dealerships doing in minnesota or

Or some hotel in keep cuard

I mean

I am in ananalyst

And i understand the value of human stories that can illustrate trends up

But it's hard to know how to

How to make anything out of these kind of randoomanic tives

Oh

Hh will make something out of the myriglacious watch us

Um

It's the basiawards are eight times a year salute to the art and science of telling stories about the economy

I'm roabtt smooh

And i'm teing woooods 're 're going to do something specispecial today just to prove matt wrwewe ll be giving a special technical achievement

Watch the economists and data scientists who have taking those so called led andomomacdotes in the beiebook

And using them appear into the future data magic

After the break support for this podcast and the following message come from wise

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Our political reporters breakdown important stories and and back stories from the campaign trail

So you understand why it matters to you listening to empmpe politics poadcast

Whererever you get your podcast in this country

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Wherever you get podcasts so usually on the basiia awards

We read all the anecctes in the beijbook

Published by the twelve regional banks in the photo reserve

And we given award to the writer

That has the most exciting story

But today we are doing something different

We 're presenting eecds to some economists to a doing research on the beijbook

Itself doing those exciting ecctes into data code had numbers

Or i'm so excited

Here is the envoludarian

I'll let you the the honours

The basiiaward for technical achievement in beijbooky goes to the clievan fed accepting the award for his team from eclivvin fed economist

James mitchell congratulations jodents

Thank you very much

I'd like to thank another

Another always your moderl listening

I heard so james 's his mother by the way lives in gilfford ari outside of london

Where james grew up

James in his team are winning the beijy for a joint research project of the cleveland fed and washington university and sanet lewis

They used machine learning

A kind of ai to go back and read all of the baijbooks

Every single one respect and tell if i get this right james

Every classifies each sentence as positive about the economy or neutral or negative about economy

That's exactly

Exactly rise

So we look at each paagebook from nineteen sevenseventhrough through to the the latest facebook at the time of speaking

And we look at those facebook sentence by sentences

And then for each paagebook publication

We taught on the number of positive sentences

And attract from that the number of negative sentences

What if the basebook look like in the nineteen seventies

I mean was it like you know a sales of bll bottooms are down uh financial conditions are

Are grooy y all right men

And for sure

The basebook has changed

Over time indeed it was the red book

It had a red cover through the ninety seventies

Until ninenineteen

Eighty three

But over time the basebook ook become come structured and indedeed a little

It llonger so a positive sentence in the basebook might read housing markets continued to strengthen

And a negative sentence might be spending on goods remains sluggish

So once they attend sententces of the basebook to numbers

Positive

Neutral

Negative

They could look at how this corresponded to something we all care about very much

The business cycle

The upsent downs of the economy

The team found that

When the basebook starts to use more negative sentences

That correlates with the downturn in the economy

Autumline is that

We find that

That these

These machine learning methods appear to work

Work Can

Can

The basebook preicicted recession

It can be helpefully

So it's a great

But we believe additional source of information that can be helpful in anticipating in particularly in now casting

Whether the us economy is in an expansiary or a recessions

Ary fades of the business cycle helpful and additional source of information

And

And he doesn't seem to be saying it's a crystal ball

Yeah

These are all correlations in the past

But no economist is going to say definitively that this is going to happen

I read the paper dyian

And there is one more interesting thing

Some regions of the country are slightly more helpful

And telling us when the economy will turn those regions

Pildolphia

Richmd

Severt

Csco

Chicago and miniopalas go to in buoves

Yeah

Why those cities well ai doesn't really explain

Itself it just finds correlations

You know when we do these awards

We always like to see how the beijbook plays out in the real world

And some investors are already using this kind of ai analysis to beit on the future for instance

Right now the economic world has one big question

When with the federal reserve lower its interest rates

And i found someone who's using this ai analysis to help investors with that question

My name is irojersey

I'm the chief

Us straight strategists for glumbger intelligence

Which is the research arm of blumber gl p

Iraa has developed a computer model

That can get usable information out of the bichbook

He's already been doing this for a couple of years on transcopes of the federal resves press conferences and minutes of their meetings

He analyzes the sentiments of the words

And then compare them with actions set the federal reserve

Then takes i asked

Ira can't i just listen to the press converters and get the zim information

And he said you can

You should

But you're probably missing something so for example

Um a lot of times

The media might focus in on one phrase

That's different or new or sounds

Exciting instead of looking at the totality of what's actually said

And that's where the machine is a little bit better than we are in terms of determining

That because computers don't have the same kind of emotions

I think that's a big part of it

Um

I think suspect that there's um

There's your own personal biases right

If expect a positive speech from jappoal

Maybe he sounds negative

When i hear it

Even when he's not iira has just started to put in the beijbook data to his model

And it is a little a more complicated

He says He

He decided to just use the summaries of the basebook

Not the ecdotes that we all love so much in the past

Some of the regional districts had much more verbose reports

Yeah

You're told me that much what have to read through

But they could get long

Yeah Ulo

Yeah Well

And it's not as long

It used

Used be because now everyone kind of sticks to the same format more or less

Ira in his bloomberer team have already found moments

Where a computer can see something in the basebook

That the rest of us missed for incence in twenty

Twenty one

When the fed was talking about how the inflation was transitory and about to cool off and analysis of the basebook show that the economy was quite strong an inflation rising

So what's the basebook telling gus right now i ran last month spoook through the model

And it's no longer showing a knowing economy

The fed stoarts

He says is neutral or beige

If you will but stay tuned when something changes

Maybe the computer will spot it first and experra

Baji

Wooter

James mitchell from the clevveland fed congratulations again for your award

For your technical achievement

I do worry a little bit about your research

About that perhaps

If they are enough numbers association with the basebook

Who

Who would actually sit down in read it covered to over

Where it's great to be here to accept the war

But i think that's the text and data should always exist together

So perhaps

Our numbers but are helpful compliment to that great rich text but is the benchbook take that hatters

Who still got a job

Rob it this episope was produced by corry bridges

With engineering from code tucha a uki

Chenivan was feccacked by sarahoadis cake and cadam edits

The show and the indicator is a production of npr

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I really felt like the cloud in my brain kind of dissipated

Once i started realizing what a different seasonlittle breaks were making there's no turning back from me take np s body electric challenge

Listen to the series

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Black truths

A collection of stories as varied

Nuanced and dynamic as the black experience

You'll hear it means everything search np r black stories

Black truth

Wherever you get your podcasts

What does it mean to be black in america

An npr s black stories

Black truth

A collection of story is a very nuonce and dynamic as black experiences

They'll hear it means everything

Search npr black stories

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