WEBVTT - US Payroll Gains Not as Robust as Reported, BLS Data Suggest

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 2>podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 3>So wait, what is up with the ECB? The global

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<v Speaker 3>mond market losing some steam after notching its longest winning

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<v Speaker 3>run this year after the European Central Bank raised its

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<v Speaker 3>inflation forecasts after delivering a widely expected rate cut. It

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<v Speaker 3>made us be like, yeah, wait.

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<v Speaker 4>What okay, it was a historic move. It saw the

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<v Speaker 4>ECB slashing borrowing costs ahead of the FED meeting next week. Officials,

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<v Speaker 4>led by President Christine Legard, said that while the inflation

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<v Speaker 4>outlook has improved quote markedly, they'll keep policy rates sufficiently

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<v Speaker 4>restrictive for as long as necessary.

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<v Speaker 3>All right, with what you need to know? Why you

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<v Speaker 3>should care? Back in studio with us Bloomberg International Economics

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<v Speaker 3>and Policy correspondent Michael McKee, Mike, so widely expected, but

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<v Speaker 3>it seemed like, why do you cut rates when you

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<v Speaker 3>think inflation is going up?

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<v Speaker 5>Well, the couple of things. One they think that the

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<v Speaker 5>inflation path is becoming more clear, that they can make

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<v Speaker 5>these revised forecasts with more confidence that that's actually going

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<v Speaker 5>to happen, that over the long run, inflation will come

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<v Speaker 5>down to target. The other thing they point out is

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<v Speaker 5>that the real rate, as inflation comes down, goes up.

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<v Speaker 5>So the argument today from the ECB management was that

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<v Speaker 5>they are basically just keeping policy as tight as it

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<v Speaker 5>was because inflation's come down a lot, and even though

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<v Speaker 5>they cut rates, the restraint on the economy has gone

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<v Speaker 5>up because real rates are higher. Okay, does that make

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<v Speaker 5>sense to you, Well, it makes sense to me. This

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<v Speaker 5>is a debate that Paul Krugman is waiting into it

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<v Speaker 5>in the New York Times today, saying the Fed's behind

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<v Speaker 5>the curve because the ECB did the right thing. You

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<v Speaker 5>are going to have people on both sides arguing, and

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<v Speaker 5>kind of the bottom line is twenty five basis points

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<v Speaker 5>isn't going to make a difference one way or another.

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<v Speaker 5>It's a bit more about the psychology of the markets

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<v Speaker 5>and how they take it and what's going to happen

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<v Speaker 5>in the future. The ECB today, Christine Leguard, was very

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<v Speaker 5>cagey about that, which is why everybody's calling it a

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<v Speaker 5>hawkish cut because they didn't make any promises and they did,

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<v Speaker 5>as you said, talk about keeping rates high for longer.

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<v Speaker 5>The FED, on the other hand, is probably not going

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<v Speaker 5>to do anything, but they will come out with a

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<v Speaker 5>new dot plot and that will set the direction for

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<v Speaker 5>the markets in the US.

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<v Speaker 4>Okay, well, speaking of that, this is ahead of the

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<v Speaker 4>US Jobs report tomorrow, the CPI report next Wednesday in

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<v Speaker 4>the US, the same day that the FED finishes up

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<v Speaker 4>its meeting and gives its update on economic and rate projections,

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<v Speaker 4>which you just referred to. Does what we saw from

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<v Speaker 4>the ECB today mean anything to fed A officials.

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<v Speaker 5>Now, both of the ECB and the FED have the

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<v Speaker 5>advantage of being the central banks for huge economies, so

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<v Speaker 5>they really are able to focus on their own economies

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<v Speaker 5>and do what they need to do for them. If

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<v Speaker 5>you're in a small country, you're going to be affected

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<v Speaker 5>by either one or both because the big trading partners,

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<v Speaker 5>they're going to be affecting the value of your currency.

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<v Speaker 5>But in this case, it didn't, It didn't really, it

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<v Speaker 5>doesn't really have an impact. The FED and the ECB

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<v Speaker 5>will do what they have to do for their own economies.

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<v Speaker 3>All right, So now we want to get into a

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<v Speaker 3>little bit more when it comes to payroll because we

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<v Speaker 3>obviously have the monthly read tomorrow at eight thirty am

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<v Speaker 3>Wall Street Time. Mike's going to stay with us. We

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<v Speaker 3>want to bring into the conversation Bloomberg News Economics reporter

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<v Speaker 3>Rich Miller. He is in our Washington DC bureau. Rich,

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<v Speaker 3>You've got a great story that's out on the Bloomberg

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<v Speaker 3>and it gets into why US payroll gains may not

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<v Speaker 3>be as robust as reported, What gives and what is

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<v Speaker 3>the data that points this out?

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<v Speaker 6>With me a second. It's a little complicated, but.

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<v Speaker 3>We like complicated.

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<v Speaker 6>Good, good good. There's something called the Quarterly Census Unemployment Wages.

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<v Speaker 6>It's basically a compilation of that the Labor Department has

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<v Speaker 6>of unemployment insurance tax records filed by businesses. This covers

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<v Speaker 6>like twelve more than twelve million businesses as opposed to

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<v Speaker 6>the Monthly Payrolls Report, which is a survey of about

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<v Speaker 6>one hundred and nineteen hundred and twenty thousand. So this,

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<v Speaker 6>this quarterly report, which is commonly called among the geeks

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<v Speaker 6>as qc W, suggests that the Monthly Payrolls Report last

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<v Speaker 6>year was overstated by about sixty thousand per month. That means,

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<v Speaker 6>you know, the labor market may not be quite as

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<v Speaker 6>sturdy as j Powell thinks, as Joe Biden hopes, and

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<v Speaker 6>that kind of raises the stakes for the Fed as

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<v Speaker 6>it tries to sort of balance cooling off the labor

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<v Speaker 6>market but not killing.

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<v Speaker 4>It rich the QCW, you know, the new piece that

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<v Speaker 4>the data are eventually used in annual revisions to the

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<v Speaker 4>monthly data. Right, does the dispersion that we saw with

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<v Speaker 4>the data released earlier today match dispersions that we've seen

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<v Speaker 4>in other quarters and other years when it comes.

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<v Speaker 6>To the data traditionally, if this holds, and the qc

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<v Speaker 6>QCW data is also occasionally revised, but if this difference holds,

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<v Speaker 6>it would be one of the biggest revisions in the

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<v Speaker 6>payrolls data that we've seen. For example, last year. Last year,

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<v Speaker 6>there was again there was a lot of concern about

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<v Speaker 6>a big downward revision in payrolls for the imperious year.

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<v Speaker 6>As it turned out, the revision wasn't all that big.

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<v Speaker 6>It came in less than twenty thousand, so it's still

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<v Speaker 6>only the Department will give sort of an early estimate

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<v Speaker 6>of how what it thinks the revision will be in August,

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<v Speaker 6>so we're still a number of months away from that,

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<v Speaker 6>and that's when we get a sort of final tally

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<v Speaker 6>about how much the numbers were off.

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<v Speaker 3>Bring I want to bring my king because no disk

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<v Speaker 3>of the qc W, and I like wonky and I

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<v Speaker 3>like nerding out here on economic data points. But Mike,

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<v Speaker 3>we've had a lot of conversations with you. I feel

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<v Speaker 3>like this doesn't come up. Why is it coming up?

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<v Speaker 5>Because the data just came out yesterday. A preliminary data

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<v Speaker 5>was released in May.

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<v Speaker 3>So it's new data sets.

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<v Speaker 5>Well, basically what they do is they release a report

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<v Speaker 5>every quarter for the previous quarter, so well actually for

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<v Speaker 5>a quarter and a half back because the May data

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<v Speaker 5>and the data we got today incorporated the final quarter

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<v Speaker 5>of twenty twenty three and then the first quarter of

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<v Speaker 5>this year, and we have not had such a huge

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<v Speaker 5>as Rich was saying, such a possible huge change. But

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<v Speaker 5>as you know, last year there was some of this

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<v Speaker 5>worry going around in the economics community and it didn't

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<v Speaker 5>really prove out. And by August it is possible the

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<v Speaker 5>current QCW numbers could get revised lower as well. But

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<v Speaker 5>what we get in August is one giant number. So

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<v Speaker 5>this is the whole amount for the year through March,

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<v Speaker 5>and then they have to divide it up, which we

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<v Speaker 5>won't get till the next February. Month by month, So

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<v Speaker 5>you could see some of these months where we got

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<v Speaker 5>three hundred thousand jobs, you get two hundred and forty thousand.

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<v Speaker 5>That's gonna not look too bad. But if you had

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<v Speaker 5>something like one hundred thousand jobs and you lose.

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<v Speaker 3>Sixty thousand, you would say fed your pond.

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<v Speaker 5>Or they could say that particular month you lost every

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<v Speaker 5>job and it was negative, and that's Bloomberg Economics is

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<v Speaker 5>saying that's a possibility, and they're all worried about that.

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<v Speaker 4>So we're in a blackout period ahead of the Federal

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<v Speaker 4>Reserve meeting next week.

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<v Speaker 3>I've been counting you down for the last.

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<v Speaker 4>Month, and we're finally there, Carol, We're finally there. Sorry,

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<v Speaker 4>but Mike, you I mean you talk to Fed officials

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<v Speaker 4>all the time.

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<v Speaker 3>This is data.

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<v Speaker 4>How do you think they're taking this into account ahead

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<v Speaker 4>of the policy meeting.

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<v Speaker 5>Well, I'm sure they are, and I'm sure they've done

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<v Speaker 5>the math and tried to figure out for themselves exactly

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<v Speaker 5>what it might mean. But as we said yesterday earlier

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<v Speaker 5>this week, the head has to deal with the numbers

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<v Speaker 5>that it has at the time it has them to

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<v Speaker 5>make their decisions. This could be another input, but you know,

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<v Speaker 5>is it going to come through in which case maybe

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<v Speaker 5>you wanted to cut rates or is it not, in

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<v Speaker 5>which case you're maybe moving too soon. Because this is

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<v Speaker 5>just an if at this.

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<v Speaker 3>Point, Rich, how do you kind of think about it

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<v Speaker 3>against what the Fed might do? And also kind of

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<v Speaker 3>I feel like there was I think a story on

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<v Speaker 3>the Bloomberg turn al today from our Bloomberg Economics team.

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<v Speaker 3>It just about kind of the continuation of like seeing

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<v Speaker 3>softer and softer economic points, whether it's on the consumer,

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<v Speaker 3>on the labor, Like we are starting to see some softness,

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<v Speaker 3>not necessarily everything falling apart, But so how are you

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<v Speaker 3>thinking about this? This new survey the qc e W

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<v Speaker 3>against kind of the broader backdrop of what we are

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<v Speaker 3>seeing anecdotally are actual.

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<v Speaker 6>I mean, it just I mean, it just adds to

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<v Speaker 6>the confusion, right basically, Uh, you know, we've got all

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<v Speaker 6>these conflicting signals. I mean, the trouble is they're trying

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<v Speaker 6>to cool things off, but they don't want to cool

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<v Speaker 6>them off too much. So the thing is, you know,

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<v Speaker 6>you're constantly asking you a question. Are things slowing? First, Yes,

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<v Speaker 6>they're slowing, but are they slowing too much? Oh, we're worried.

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<v Speaker 6>We're worried. So I mean, and this just you know,

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<v Speaker 6>puts one nugget or one sand on the side of

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<v Speaker 6>we're slowing too much, but there are other sands on

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<v Speaker 6>the side of you know, this looks like a soft landing.

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<v Speaker 6>I think it just makes it much more difficult, and unfortunately,

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<v Speaker 6>you know, raises the risk that you know, the FED

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<v Speaker 6>can make them, you know, a mistake, either that it's

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<v Speaker 6>you know, it cuts too soon or cuts too late.

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<v Speaker 6>It just makes their job, which is already done difficult

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<v Speaker 6>even more more difficult.

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<v Speaker 3>What I want to ask Mike and come on back in.

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<v Speaker 3>It's like, why couldn't the Fed okay, oops, maybe things

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<v Speaker 3>are slowing down faster. Do fifty basis points versus a quarter?

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<v Speaker 3>Is it such a shock to the system, Like if

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<v Speaker 3>they feel like they're getting behind, what's the difference of

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<v Speaker 3>doing something like that versus like a quarter of a

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<v Speaker 3>point gradually and really forecasting the head?

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<v Speaker 5>Well, if they did feel that the economy was falling

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<v Speaker 5>off cliff, they would probably go fifty. Not inconceivable, they

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<v Speaker 5>could go.

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<v Speaker 4>More and they wouldn't have to wait to a meeting.

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<v Speaker 5>They they went fifty and seventy five in two thousand

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<v Speaker 5>when the tech bubble burst, But they wouldn't surprise with

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<v Speaker 5>that because then the problem becomes for the markets, what

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<v Speaker 5>do they know that we don't know? I mean, how

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<v Speaker 5>bad really is it? And obviously during COVID it was

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<v Speaker 5>really bad, which is why they were to seventy five

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<v Speaker 5>basis points, But there were millions of people dying, and

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<v Speaker 5>I mean, it was very opt to everyone that the

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<v Speaker 5>FED could do that, and they sort of telegraph that

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<v Speaker 5>they would so they could do fifty. And that's one

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<v Speaker 5>of the arguments they make for holding is it's easy

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<v Speaker 5>to cut rates and stimulate the economy, and we know

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<v Speaker 5>how to do that, so if we're behind, we can

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<v Speaker 5>catch up. Now you can argue about that, but that's

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<v Speaker 5>their their argument, their feeling.

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<v Speaker 4>Hey, Rich, I just want to wrap up with the

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<v Speaker 4>idea of something that you flick out at the end

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<v Speaker 4>of your piece of undocumented migrants in the way that

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<v Speaker 4>they could be or not be accounted for in this

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<v Speaker 4>data what did you find with the sources you spoke

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<v Speaker 4>with when you're reporting this out?

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<v Speaker 6>Well, I mean, this is all too pretty confusing. But

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<v Speaker 6>some people argue that the QCW data because it's you know,

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<v Speaker 6>companies reporting effectively to the IRS on their unemployment insurance

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<v Speaker 6>taxes that they might not want to if they have

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<v Speaker 6>undocumented workers on their payroll, they might not want to

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<v Speaker 6>say anything about that and they and they wouldn't anyway,

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<v Speaker 6>they wouldn't be covered by the unemployment insurance system. So

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<v Speaker 6>therefore that the argument is that unlike in past years

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<v Speaker 6>when we didn't have a big surgeon immigrants, uh, these

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<v Speaker 6>QCW data are basically understating what the true level is.

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<v Speaker 6>But that you know, that's open to debate and yet

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<v Speaker 6>another thing that the FED is wrestling with.

0:12:32.800 --> 0:12:36.360
<v Speaker 3>Yeah, talk about wrestling, right, it's like kind of conflicting. Rich,

0:12:36.400 --> 0:12:38.600
<v Speaker 3>Thank you so much, really appreciate your reporting. Rich Miller,

0:12:38.640 --> 0:12:41.640
<v Speaker 3>economics reporter at Bloomberg News, joining us there in our Washington,

0:12:41.720 --> 0:12:44.319
<v Speaker 3>DC bureau. You bet, Rich, Thank you, Mike Ricki, thank

0:12:44.360 --> 0:12:44.880
<v Speaker 3>you so much.

0:12:46.400 --> 0:12:49.920
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:12:49.960 --> 0:12:53.199
<v Speaker 2>live weekday afternoons from two to five pm. Eastern Listen

0:12:53.240 --> 0:12:55.400
<v Speaker 2>on Apple card Play and then Bright Auto with a

0:12:55.400 --> 0:12:58.439
<v Speaker 2>Bloomberg Business app, or watch us live on YouTube.

0:13:00.240 --> 0:13:02.120
<v Speaker 3>New Yorkers who liked to debate a lot of things

0:13:02.160 --> 0:13:04.560
<v Speaker 3>and count congestion pricing is one of those topics. It

0:13:04.600 --> 0:13:07.240
<v Speaker 3>can get kind of heated when you bring up the topic.

0:13:07.760 --> 0:13:11.520
<v Speaker 3>Some are definitely cheering New York Governor Kathy Hochele's last

0:13:11.520 --> 0:13:15.800
<v Speaker 3>minute decision this was yesterday to definitely indefinitely halt a

0:13:15.840 --> 0:13:19.240
<v Speaker 3>congestion pricing plan. Others remind us of the possible consequences

0:13:19.320 --> 0:13:21.120
<v Speaker 3>of that move. I have to say, you know, when

0:13:21.120 --> 0:13:22.800
<v Speaker 3>it crossed, I thought this was kind of a doune thing.

0:13:22.880 --> 0:13:24.520
<v Speaker 3>I was kind of shocked reading my phone.

0:13:24.559 --> 0:13:26.079
<v Speaker 4>I think shocked is a good way to describe, and

0:13:26.160 --> 0:13:28.600
<v Speaker 4>I think way a lot of people felt, including perhaps

0:13:28.760 --> 0:13:31.320
<v Speaker 4>our next guest simply put, New Yorkers maybe headed for

0:13:31.320 --> 0:13:33.640
<v Speaker 4>the summer of hell. The story on this among our

0:13:33.679 --> 0:13:36.680
<v Speaker 4>most read today on the Bloomberg terminal. Here with more

0:13:36.880 --> 0:13:40.640
<v Speaker 4>Bloomberg News New York Politics reporter Laura Namius, along with

0:13:40.760 --> 0:13:44.079
<v Speaker 4>Michelle Caski, who's reporter too here at Bloomberg. Both are

0:13:44.160 --> 0:13:47.240
<v Speaker 4>joining us on this Thursday afternoon. Okay, so Laura, I

0:13:47.280 --> 0:13:49.839
<v Speaker 4>just want to start with you and remind everybody how

0:13:49.840 --> 0:13:52.640
<v Speaker 4>we got to this place, and also give us your

0:13:52.679 --> 0:13:55.679
<v Speaker 4>reaction to seeing this news yesterday morning.

0:13:56.040 --> 0:13:59.040
<v Speaker 7>I think it's fair to say that everyone in New

0:13:59.120 --> 0:14:04.320
<v Speaker 7>York and even further beyond, was totally shocked by the

0:14:04.360 --> 0:14:09.280
<v Speaker 7>governor's decision. Everyone I spoke to yesterday, people in politics,

0:14:09.880 --> 0:14:13.400
<v Speaker 7>well known transit advocates, said they got no heads up

0:14:13.440 --> 0:14:19.960
<v Speaker 7>about it. They were totally totally surprised. And this came

0:14:20.000 --> 0:14:22.520
<v Speaker 7>about It's been many years in the making. I mean,

0:14:23.000 --> 0:14:28.720
<v Speaker 7>the idea was first proposed decades ago, but it was

0:14:28.760 --> 0:14:31.960
<v Speaker 7>passed by the legislature and signed by Governor Cuomo in

0:14:32.240 --> 0:14:35.680
<v Speaker 7>former Governor Cuomo in twenty nineteen, and then there've been

0:14:35.680 --> 0:14:39.760
<v Speaker 7>a series of things that have delayed environmental assessments, you know,

0:14:40.080 --> 0:14:44.520
<v Speaker 7>various federal approvals that needed to be passed and signed.

0:14:44.640 --> 0:14:49.000
<v Speaker 7>And it was scheduled to start on June thirtieth.

0:14:48.640 --> 0:14:51.320
<v Speaker 3>Or The totally gantries right or in place. They are

0:14:51.360 --> 0:14:52.320
<v Speaker 3>the streets of New York City.

0:14:52.360 --> 0:14:57.720
<v Speaker 7>The signs are in place, Yes, truly stunning. People at

0:14:57.720 --> 0:15:01.120
<v Speaker 7>the MTA were stunned. Hard to find anybody who knew

0:15:01.120 --> 0:15:03.960
<v Speaker 7>this was going to happen before she officially made the announcement.

0:15:04.000 --> 0:15:06.120
<v Speaker 3>Michelle CASKI, we want to bring you. You're a reporter

0:15:06.160 --> 0:15:07.440
<v Speaker 3>to here at B LIBERG. You've been out on the

0:15:07.480 --> 0:15:09.280
<v Speaker 3>streets and it sounds like you've been talking to folks

0:15:09.360 --> 0:15:10.560
<v Speaker 3>about this. What are you hearing?

0:15:12.160 --> 0:15:16.600
<v Speaker 8>Well, definitely, the surprise is definitely real. And now the

0:15:16.720 --> 0:15:21.960
<v Speaker 8>issues what does the MPa do next? And they were

0:15:22.000 --> 0:15:26.520
<v Speaker 8>relying on they were counting on a billion dollars a

0:15:26.600 --> 0:15:30.360
<v Speaker 8>year coming in from congestion pricing. So the issue is

0:15:30.400 --> 0:15:32.320
<v Speaker 8>how do they pay for their infrastructure? Now?

0:15:32.480 --> 0:15:34.960
<v Speaker 3>Well before we get there, because it's like I said,

0:15:35.120 --> 0:15:37.400
<v Speaker 3>New York's left to debate things. There's two sides to

0:15:37.440 --> 0:15:40.240
<v Speaker 3>this story. Let me, lord, let me go back to

0:15:40.280 --> 0:15:42.280
<v Speaker 3>you for a moment. I mean, why was she maybe

0:15:42.360 --> 0:15:44.240
<v Speaker 3>right to pause? I mean we were talking with our

0:15:44.240 --> 0:15:48.600
<v Speaker 3>Michael mckeeth. There are people where this cost will be

0:15:49.200 --> 0:15:52.160
<v Speaker 3>a problem, an issue in an environment where things are

0:15:52.160 --> 0:15:53.640
<v Speaker 3>costing a lot more.

0:15:53.880 --> 0:15:56.960
<v Speaker 7>Right, So that was the rationale that the governor offered

0:15:57.000 --> 0:16:02.360
<v Speaker 7>in a short video message that she released yesterday, and

0:16:02.520 --> 0:16:05.480
<v Speaker 7>recent polling had found that although a majority of New

0:16:05.560 --> 0:16:09.600
<v Speaker 7>Yorkers supported the measure before it was passed in twenty nineteen.

0:16:10.120 --> 0:16:13.840
<v Speaker 7>In recent weeks and months, a majority of New Yorkers

0:16:14.200 --> 0:16:17.400
<v Speaker 7>don't like it. I think the numbers were something like

0:16:17.560 --> 0:16:21.400
<v Speaker 7>sixty three maybe sixty eight percent disapproved of.

0:16:21.360 --> 0:16:23.280
<v Speaker 3>It, a growing number of New Yorkers. Yeah.

0:16:23.320 --> 0:16:27.080
<v Speaker 7>But the caveat there is that there's all of this

0:16:27.160 --> 0:16:31.240
<v Speaker 7>social science research and people familiar with similar polling plans

0:16:31.560 --> 0:16:34.440
<v Speaker 7>that have been enacted in other cities in other countries

0:16:35.080 --> 0:16:38.040
<v Speaker 7>all found that the polling was really negative right before

0:16:38.240 --> 0:16:42.680
<v Speaker 7>something is implemented, because you're about to pay the real cost,

0:16:42.840 --> 0:16:45.120
<v Speaker 7>but you aren't seeing the benefits yet. So there was

0:16:45.160 --> 0:16:48.200
<v Speaker 7>a hope among people in the know that people would

0:16:48.200 --> 0:16:50.560
<v Speaker 7>get used to it and they would start to like

0:16:50.600 --> 0:16:53.800
<v Speaker 7>it more like you know, an analogy as the smoking

0:16:53.840 --> 0:16:56.520
<v Speaker 7>ban in New York City was really people didn't like

0:16:56.560 --> 0:16:59.160
<v Speaker 7>that before it took effect, and then eventually they grew

0:16:59.160 --> 0:16:59.560
<v Speaker 7>to love it.

0:17:00.120 --> 0:17:02.120
<v Speaker 3>Move on to the summer of hell. We can't wait

0:17:02.160 --> 0:17:04.640
<v Speaker 3>to talk about. But to be fair, like we Tim,

0:17:04.680 --> 0:17:06.359
<v Speaker 3>you bring this up off in this poll of like,

0:17:06.640 --> 0:17:09.160
<v Speaker 3>stock market doing well, economy is still doing well, tight

0:17:09.200 --> 0:17:12.120
<v Speaker 3>labor market, and yet so many Americans don't feel good

0:17:12.160 --> 0:17:15.280
<v Speaker 3>about their own economic plight. Michelle, come on back in

0:17:15.359 --> 0:17:17.800
<v Speaker 3>here before we get into what the MTA has to do,

0:17:18.200 --> 0:17:21.359
<v Speaker 3>I mean your thoughts on right, like, for some Americans,

0:17:21.600 --> 0:17:25.680
<v Speaker 3>this is another additional cost to you know, a pocketbook

0:17:26.040 --> 0:17:27.600
<v Speaker 3>or wallet that's already strained.

0:17:28.600 --> 0:17:32.359
<v Speaker 8>That's definitely true. As much as you know, there's millions

0:17:32.359 --> 0:17:35.760
<v Speaker 8>of people a day who use New York City's transit's

0:17:35.840 --> 0:17:43.000
<v Speaker 8>just you know, charging most drivers fifteen dollars to enter

0:17:43.560 --> 0:17:48.480
<v Speaker 8>into midtown Manhattan. That really does add up. For some

0:17:48.520 --> 0:17:51.840
<v Speaker 8>people who have no choice but but need to take

0:17:51.880 --> 0:17:53.760
<v Speaker 8>a car for whatever reason, they have to take a

0:17:53.800 --> 0:17:56.240
<v Speaker 8>car and not just maybe once a week or twice

0:17:56.240 --> 0:17:58.320
<v Speaker 8>a week, but maybe five times a week. There was

0:17:59.000 --> 0:18:01.480
<v Speaker 8>you know, I recently, number of weeks ago, was on

0:18:01.640 --> 0:18:06.359
<v Speaker 8>the East Side, Midtown east Side, and I was at

0:18:06.480 --> 0:18:11.240
<v Speaker 8>a medical facility and the people there, the nurses and

0:18:11.280 --> 0:18:14.240
<v Speaker 8>the staff, we're talking about how some of them who

0:18:14.320 --> 0:18:17.600
<v Speaker 8>live in deep in New Jersey, they have to drive

0:18:18.480 --> 0:18:22.800
<v Speaker 8>to get to that location. And you know, some of

0:18:22.800 --> 0:18:25.119
<v Speaker 8>them were wondering if might they might even need to

0:18:25.160 --> 0:18:28.760
<v Speaker 8>look at other jobs because that's fifteen dollars a day,

0:18:28.800 --> 0:18:29.520
<v Speaker 8>five times a week.

0:18:29.560 --> 0:18:30.080
<v Speaker 7>Does that up?

0:18:30.320 --> 0:18:33.080
<v Speaker 4>Well, Michelle, what about the other costs associated with this?

0:18:33.359 --> 0:18:37.119
<v Speaker 4>Not the cost that would be the result of congestion pricing.

0:18:37.119 --> 0:18:40.280
<v Speaker 4>But the cost now on the MTA and to the

0:18:40.320 --> 0:18:45.760
<v Speaker 4>writers who might be stuck underground on broken subways with

0:18:45.960 --> 0:18:49.159
<v Speaker 4>signal malfunctions, late to appointments and late to work, the

0:18:49.200 --> 0:18:52.679
<v Speaker 4>loss of productivity from a crumbling subway here in New

0:18:52.760 --> 0:18:53.960
<v Speaker 4>York City. What about that cost?

0:18:54.800 --> 0:18:57.640
<v Speaker 8>Yeah, it's definitely real. People are already, you know, they're

0:18:57.640 --> 0:19:00.359
<v Speaker 8>feeling it already. The system is more than a hundred

0:19:00.440 --> 0:19:03.560
<v Speaker 8>years old. And you know, back in February, even the

0:19:03.720 --> 0:19:10.840
<v Speaker 8>MTA had to suspend entering into new contracting work because

0:19:11.040 --> 0:19:16.000
<v Speaker 8>of the uncertainty with the congestion pricing revenue given there

0:19:16.000 --> 0:19:20.119
<v Speaker 8>have been these legal challenges against congestion pricing, and so

0:19:20.359 --> 0:19:24.600
<v Speaker 8>they couldn't promise work to contractors because they just really

0:19:24.600 --> 0:19:27.480
<v Speaker 8>couldn't move forward with that yet. And you know what

0:19:27.520 --> 0:19:31.640
<v Speaker 8>that means is they can't already, you know, before Cochl's decision,

0:19:32.119 --> 0:19:36.480
<v Speaker 8>they were stalling on really necessary work to help modernize

0:19:36.480 --> 0:19:39.560
<v Speaker 8>the system, to fix it, to repair it, to get it.

0:19:39.720 --> 0:19:42.760
<v Speaker 8>You know, the thing about the signal upgrades that helps

0:19:42.760 --> 0:19:46.679
<v Speaker 8>the trains, that really decreases delays, helps the trains run faster.

0:19:47.160 --> 0:19:48.920
<v Speaker 8>That's improved service, right, there.

0:19:49.080 --> 0:19:51.080
<v Speaker 3>I got to say, in the last few months, we've

0:19:51.080 --> 0:19:52.800
<v Speaker 3>all had those moments and then we had some tapings

0:19:52.800 --> 0:19:55.280
<v Speaker 3>and it's like nobody's here because we just can't get here.

0:19:55.320 --> 0:19:59.000
<v Speaker 3>We're just kind of stuck. Laura back to Governor Hokeel

0:19:59.240 --> 0:20:02.439
<v Speaker 3>and you know how they make up the shortfall? Now,

0:20:02.520 --> 0:20:06.600
<v Speaker 3>if they're not getting money from congestion pricing, what is

0:20:06.640 --> 0:20:08.360
<v Speaker 3>the governor proposing that they can do?

0:20:09.000 --> 0:20:13.919
<v Speaker 7>She is proposing, and this also astonished people, replacing the

0:20:14.000 --> 0:20:19.679
<v Speaker 7>revenue from the congestion tolling program with a payroll mobility tax.

0:20:21.080 --> 0:20:25.159
<v Speaker 7>Our understanding is that it's something similar to a tax

0:20:25.240 --> 0:20:30.959
<v Speaker 7>that was enacted in under former Governor Patterson and then

0:20:31.000 --> 0:20:34.720
<v Speaker 7>partly repealed in twenty ten because it was so unpopular.

0:20:34.840 --> 0:20:38.919
<v Speaker 7>It actually ended up resulting in or was blamed for

0:20:38.960 --> 0:20:41.200
<v Speaker 7>the losses of a bunch of Democrats in the state

0:20:41.280 --> 0:20:45.600
<v Speaker 7>Senate in suburban districts in twenty ten. And the legislature,

0:20:45.800 --> 0:20:48.639
<v Speaker 7>although they're discussing this right now, the last day of

0:20:48.680 --> 0:20:53.320
<v Speaker 7>the legislative session for this year is tomorrow. Very unlikely

0:20:53.400 --> 0:20:57.200
<v Speaker 7>they get anything passed by tomorrow, or a bill drafted

0:20:57.359 --> 0:21:03.199
<v Speaker 7>or even a discussing. Yeah, it's it's politically could be

0:21:03.240 --> 0:21:06.879
<v Speaker 7>a really heavy lift to enact a totally new tax

0:21:07.000 --> 0:21:09.800
<v Speaker 7>to cover the shortfall. So we'll see what hap.

0:21:09.800 --> 0:21:10.760
<v Speaker 3>We talked about with Michael.

0:21:12.840 --> 0:21:14.879
<v Speaker 8>Guys, I'm sorry if I could just piggyback off of

0:21:14.960 --> 0:21:19.040
<v Speaker 8>Laura there. Yeah, So the businesses in New York City

0:21:19.240 --> 0:21:23.480
<v Speaker 8>and seven surrounding counties have been paying this payroll mobility

0:21:23.520 --> 0:21:27.480
<v Speaker 8>tax for a few years now. Just what's really really

0:21:27.520 --> 0:21:33.040
<v Speaker 8>surprising is that last year the state lawmakers actually increased

0:21:33.080 --> 0:21:37.760
<v Speaker 8>that tax on the largest New York City businesses, and

0:21:38.119 --> 0:21:43.400
<v Speaker 8>so it's just it's surprising that the legislature is actually

0:21:44.359 --> 0:21:49.560
<v Speaker 8>has an appetite to at least consider raising this tax again.

0:21:50.359 --> 0:21:53.359
<v Speaker 8>This is going back to the business community again to

0:21:53.480 --> 0:21:56.080
<v Speaker 8>help offset the loss of the contest and at a.

0:21:56.040 --> 0:21:58.320
<v Speaker 4>Time when you know, story after story we see businesses

0:21:58.320 --> 0:22:00.360
<v Speaker 4>moving out of the city and make you know, moving

0:22:00.400 --> 0:22:04.400
<v Speaker 4>employees to other states. Michelle, real quick, the budget shortfall

0:22:04.440 --> 0:22:06.720
<v Speaker 4>that the MTA will see this year that it was

0:22:06.760 --> 0:22:10.240
<v Speaker 4>already relying on, where's that going to come from?

0:22:10.680 --> 0:22:14.520
<v Speaker 8>Yeah, definitely. So the if if state lawmakers, if they

0:22:14.680 --> 0:22:18.560
<v Speaker 8>really do pass an increase on the payroll mobility tax,

0:22:18.640 --> 0:22:21.959
<v Speaker 8>that could then offset the loss from the congestion but

0:22:21.960 --> 0:22:27.040
<v Speaker 8>if they don't, they don't. And also remember the deficit

0:22:27.080 --> 0:22:30.400
<v Speaker 8>that the whole now is in and he is capital plan.

0:22:30.560 --> 0:22:33.760
<v Speaker 8>So this isn't their operating budget, which you know, keeps

0:22:33.760 --> 0:22:36.800
<v Speaker 8>the lights on and and you know, pays their workers

0:22:36.800 --> 0:22:39.359
<v Speaker 8>and all that good stuff. This is the capital budget,

0:22:39.400 --> 0:22:45.000
<v Speaker 8>which pays for you know, all the infrastructure updates, infrastructure needs.

0:22:45.640 --> 0:22:49.040
<v Speaker 3>Yeah, kind of make some fixes and stuff. Laura, definitely,

0:22:49.280 --> 0:22:52.520
<v Speaker 3>Laura ten seconds. Is this really ever not going to

0:22:52.520 --> 0:22:55.439
<v Speaker 3>happen in New York City or who knows? We don't know.

0:22:55.920 --> 0:22:58.560
<v Speaker 7>The governor hasn't said that it's totally over, but she

0:22:59.040 --> 0:23:03.000
<v Speaker 7>definitely delayed it. It is limping along on life support

0:23:03.080 --> 0:23:06.160
<v Speaker 7>right now. But the blowback that she's receiving from some

0:23:06.200 --> 0:23:09.000
<v Speaker 7>people in the legislature and advocates.

0:23:08.720 --> 0:23:09.080
<v Speaker 3>I don't know.

0:23:09.119 --> 0:23:11.520
<v Speaker 7>We'll see the next couple of weeks should be critical.

0:23:11.600 --> 0:23:11.879
<v Speaker 6>All right.

0:23:11.920 --> 0:23:14.479
<v Speaker 3>We'll be watching Laura Namius, New York Politics reporter here

0:23:14.480 --> 0:23:17.640
<v Speaker 3>at Bloomberg News in studio, Michelle Caski, reporter at Bloomberg News,

0:23:17.640 --> 0:23:20.720
<v Speaker 3>out there on the streets with the latest on congestion pricing.

0:23:22.320 --> 0:23:26.160
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Listen live

0:23:26.280 --> 0:23:29.080
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0:23:29.200 --> 0:23:32.159
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0:23:32.200 --> 0:23:35.480
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0:23:35.520 --> 0:23:41.720
<v Speaker 2>New York station, Just say Alexa Play Bloomberg eleven thirty.

0:23:41.840 --> 0:23:46.399
<v Speaker 3>I'll give a little I'll give a little bit my

0:23:46.680 --> 0:23:47.760
<v Speaker 3>love to you.

0:23:50.880 --> 0:23:53.639
<v Speaker 4>Well, Kell, you might recall the story from The Bloomberg's

0:23:53.680 --> 0:23:56.440
<v Speaker 4>Channet Lauren last month about Bob and Ellen Thompson, a

0:23:56.480 --> 0:23:59.040
<v Speaker 4>couple in their nineties who are donating one hundred and

0:23:59.080 --> 0:24:02.000
<v Speaker 4>twenty one miss billion dollars to expand a scholarship program

0:24:02.160 --> 0:24:04.840
<v Speaker 4>at Bowling Green State University in Ohio.

0:24:05.080 --> 0:24:09.119
<v Speaker 3>Right, great, sounds incredible. Absolutely. There are, however, some strings

0:24:09.160 --> 0:24:12.679
<v Speaker 3>attached to make sure recipients earned degrees. According to the terms,

0:24:12.720 --> 0:24:15.640
<v Speaker 3>eighty percent of the students receiving support must graduate within

0:24:15.760 --> 0:24:19.520
<v Speaker 3>four years. Otherwise the public school team there has to

0:24:19.560 --> 0:24:22.120
<v Speaker 3>foot the bill for each extra semester of tuition.

0:24:22.400 --> 0:24:24.960
<v Speaker 4>We've got with us Rodney Roger, the president of Bowling

0:24:25.000 --> 0:24:28.080
<v Speaker 4>Green State University, joining us from Bowling Green, Ohio, as

0:24:28.119 --> 0:24:31.080
<v Speaker 4>well as our own Bloomberg News higher education reporter Janet Lauren,

0:24:31.119 --> 0:24:34.040
<v Speaker 4>who joins us here in the Bloomberg Interactive Brokers Studio.

0:24:34.119 --> 0:24:36.399
<v Speaker 4>Jan I do want to start with you. We know

0:24:36.480 --> 0:24:38.360
<v Speaker 4>the story, we've talked about it, but I do want

0:24:38.400 --> 0:24:41.760
<v Speaker 4>you to remind everyone about the donation and give us

0:24:41.800 --> 0:24:43.719
<v Speaker 4>sort of the nitty gritty of the strings that are

0:24:43.760 --> 0:24:44.400
<v Speaker 4>attached here.

0:24:45.400 --> 0:24:48.280
<v Speaker 1>Well, what I found remarkable about this donation there were

0:24:48.320 --> 0:24:51.320
<v Speaker 1>several things this ninety year old couple had met at

0:24:51.359 --> 0:24:57.000
<v Speaker 1>Bowling Green in the fifties, I believe graduated. Long story short,

0:24:57.040 --> 0:25:00.520
<v Speaker 1>Bob Thompson entered the business of an uncle, a road

0:25:00.560 --> 0:25:04.359
<v Speaker 1>paving business at the time when Dwight Eisenhower decided they

0:25:04.440 --> 0:25:08.280
<v Speaker 1>needed roads paved in the United States. Interstate Highway don't do.

0:25:08.520 --> 0:25:11.000
<v Speaker 3>But anyway, you know what they say, there's gold in the.

0:25:10.920 --> 0:25:15.840
<v Speaker 1>Streets is Interstate Highway Act. And Bob's business was quite successful,

0:25:16.280 --> 0:25:20.159
<v Speaker 1>and then they sold it in nineteen ninety nine for

0:25:20.320 --> 0:25:24.000
<v Speaker 1>over four hundred million dollars. And they became noteworthy because

0:25:24.040 --> 0:25:27.440
<v Speaker 1>they gave about one hundred million dollars to their employees,

0:25:27.640 --> 0:25:31.240
<v Speaker 1>you know, often to help them start get start retirement funds,

0:25:31.280 --> 0:25:34.200
<v Speaker 1>which is also amazing. And at the same time, they

0:25:34.280 --> 0:25:36.639
<v Speaker 1>heard from their alma mater, Bowling Green, that they just

0:25:36.760 --> 0:25:39.920
<v Speaker 1>hadn't had a relationship within almost fifty years, and at

0:25:39.920 --> 0:25:44.680
<v Speaker 1>a football game, this relationship was rekindled. University of Michigan

0:25:44.840 --> 0:25:48.199
<v Speaker 1>crushed Bowling Green, but there was a nice relationship that

0:25:48.320 --> 0:25:51.879
<v Speaker 1>came out of it, and they started donating money and

0:25:51.960 --> 0:25:55.480
<v Speaker 1>eventually they decided they wanted to create this scholarship program

0:25:55.520 --> 0:25:59.119
<v Speaker 1>to help kids finish schools and in four years and

0:25:59.560 --> 0:26:03.439
<v Speaker 1>Bobompson pressure tested this program, you know, that was a

0:26:03.520 --> 0:26:05.359
<v Speaker 1>term he used in business, just to make sure the

0:26:05.400 --> 0:26:09.879
<v Speaker 1>school could handle getting this huge influx of money and

0:26:09.960 --> 0:26:12.280
<v Speaker 1>to make sure the kids could finish. And then over

0:26:12.400 --> 0:26:17.040
<v Speaker 1>time he had some great investments. They were actually bond investments,

0:26:17.440 --> 0:26:21.200
<v Speaker 1>and they had more money, and he met with President

0:26:21.280 --> 0:26:25.440
<v Speaker 1>Rogers and wanted to hear about his long term goals

0:26:25.480 --> 0:26:26.359
<v Speaker 1>with the school.

0:26:26.400 --> 0:26:26.880
<v Speaker 3>Would he be.

0:26:26.840 --> 0:26:30.439
<v Speaker 1>Sticking around and they decided they wanted to give more money.

0:26:30.480 --> 0:26:33.920
<v Speaker 1>It has to be spent within the next fourteen I

0:26:34.000 --> 0:26:36.840
<v Speaker 1>think years, get these kids through. It won't be an endowment.

0:26:36.880 --> 0:26:39.800
<v Speaker 1>It has to be spent interesting and the school has

0:26:39.840 --> 0:26:42.840
<v Speaker 1>to match it. And if the kids don't graduate within

0:26:42.880 --> 0:26:46.040
<v Speaker 1>four years, Bowling Green will pay the tuition for each

0:26:46.119 --> 0:26:49.400
<v Speaker 1>semester for the students who are still sticking around after

0:26:49.400 --> 0:26:49.920
<v Speaker 1>four years.

0:26:50.000 --> 0:26:52.400
<v Speaker 3>Well, Rodney Rodgers is with us. So Rodney, first off,

0:26:52.600 --> 0:26:55.439
<v Speaker 3>just what this means for the school, the direction of

0:26:55.480 --> 0:26:57.200
<v Speaker 3>your school, the future of your school.

0:26:58.480 --> 0:27:04.159
<v Speaker 9>Well, this gift is certainly transformational to Bowling Green, but

0:27:04.200 --> 0:27:08.480
<v Speaker 9>more importantly, it's transformational to the over six thousand students

0:27:08.520 --> 0:27:12.880
<v Speaker 9>that it's going to serve over this next decade plus years.

0:27:14.040 --> 0:27:18.440
<v Speaker 9>It allows us to serve modest so students from modest

0:27:18.440 --> 0:27:23.880
<v Speaker 9>income families who want to get that college degree, minimize

0:27:23.880 --> 0:27:26.639
<v Speaker 9>their debt and be prepared to go out and do

0:27:26.720 --> 0:27:30.919
<v Speaker 9>some amazing things in our communities. So it means a lot,

0:27:31.400 --> 0:27:32.760
<v Speaker 9>especially to our students.

0:27:33.320 --> 0:27:36.600
<v Speaker 1>So why is it so hard to finish for kids

0:27:36.640 --> 0:27:39.720
<v Speaker 1>to finish college? There was a statistic like only sixty

0:27:39.760 --> 0:27:41.879
<v Speaker 1>two percent graduate within four years.

0:27:43.520 --> 0:27:48.600
<v Speaker 9>You know the challenge that we have today as the

0:27:48.720 --> 0:27:53.720
<v Speaker 9>cost of education has increased because of decline in investment

0:27:53.880 --> 0:27:58.000
<v Speaker 9>from many states across the nation, and there is an

0:27:58.119 --> 0:28:02.640
<v Speaker 9>escalating cost any students, especially students coming from more modest

0:28:02.640 --> 0:28:09.080
<v Speaker 9>income families. They work two three jobs, they need to borrow,

0:28:09.760 --> 0:28:13.800
<v Speaker 9>They worried as we all do, about the level of debt,

0:28:13.960 --> 0:28:17.119
<v Speaker 9>and so I think all of those sorts of things

0:28:17.480 --> 0:28:20.879
<v Speaker 9>kind of get in the way of completing college in

0:28:20.920 --> 0:28:24.760
<v Speaker 9>a timely way. So that's one reason this program, which

0:28:25.160 --> 0:28:30.280
<v Speaker 9>is really a three way partnership. So, as Janet had mentioned,

0:28:30.920 --> 0:28:35.920
<v Speaker 9>the Thompson Foundation is providing some funding. The university needs

0:28:35.960 --> 0:28:39.440
<v Speaker 9>to find ways to match that funding. It is not

0:28:39.640 --> 0:28:43.239
<v Speaker 9>a free college, Bob and Ellen made it clear. This

0:28:43.320 --> 0:28:46.360
<v Speaker 9>is a free college. We want the students to have

0:28:46.480 --> 0:28:49.880
<v Speaker 9>some skin in the game. So while the majority of

0:28:49.920 --> 0:28:53.800
<v Speaker 9>tuition is covered by this scholarship program, there is about

0:28:54.040 --> 0:28:57.840
<v Speaker 9>ten percent that is covered by the student and the

0:28:57.880 --> 0:29:01.200
<v Speaker 9>student has to do twenty hours of community service each

0:29:01.320 --> 0:29:05.440
<v Speaker 9>year to pay it forward. So everybody's got a little

0:29:05.440 --> 0:29:08.959
<v Speaker 9>bit of skin in the game here. As Janna mentioned,

0:29:08.960 --> 0:29:11.760
<v Speaker 9>if they don't graduate in four years, the university's on

0:29:11.800 --> 0:29:15.040
<v Speaker 9>the hook to cover the tuition until they do graduate.

0:29:15.480 --> 0:29:19.800
<v Speaker 9>So we are highly motivated, the student is highly motivated,

0:29:20.160 --> 0:29:24.880
<v Speaker 9>and we certainly have found this to be very effective,

0:29:25.320 --> 0:29:29.760
<v Speaker 9>increasing that graduation rate during this pressure testing period to

0:29:30.760 --> 0:29:33.240
<v Speaker 9>nearly ninety percent four year graduation.

0:29:33.400 --> 0:29:34.840
<v Speaker 3>I love the skin in the game. I think it's

0:29:34.880 --> 0:29:35.520
<v Speaker 3>really smart.

0:29:35.720 --> 0:29:39.200
<v Speaker 1>So the students also get a coach to work with

0:29:39.280 --> 0:29:42.760
<v Speaker 1>them as part of the requirements, And how does coaching

0:29:42.880 --> 0:29:47.560
<v Speaker 1>help these students finish within four years, perhaps finding jobs

0:29:47.680 --> 0:29:50.080
<v Speaker 1>or internships or making sure they get their right classes

0:29:50.120 --> 0:29:52.440
<v Speaker 1>so they can finish in four years.

0:29:53.000 --> 0:29:53.280
<v Speaker 10>Yeah.

0:29:53.400 --> 0:29:57.120
<v Speaker 9>An initiative we've started here at the university called Life Design,

0:29:57.240 --> 0:30:01.320
<v Speaker 9>and it's an initiative that's really available to all the students,

0:30:01.360 --> 0:30:05.200
<v Speaker 9>but the Thompson Scholars absolutely must take advantage of it

0:30:05.240 --> 0:30:09.160
<v Speaker 9>because it's part of the requirement. What it does is,

0:30:09.280 --> 0:30:14.520
<v Speaker 9>using design thinking principles, we help students navigate. We empower

0:30:14.720 --> 0:30:19.800
<v Speaker 9>the student to navigate this collegiate experience as they transition here.

0:30:20.360 --> 0:30:22.600
<v Speaker 9>Many of our students here at Bowling Green are still

0:30:22.680 --> 0:30:27.120
<v Speaker 9>first gen students, thirty five percent of our student bodies

0:30:27.240 --> 0:30:33.040
<v Speaker 9>first generation students, and those students especially sometimes need a

0:30:33.080 --> 0:30:37.000
<v Speaker 9>little bit extra support on how to navigate. But what

0:30:37.040 --> 0:30:40.600
<v Speaker 9>we do is give them the toolbox to navigate it

0:30:40.800 --> 0:30:44.080
<v Speaker 9>using design thinking principles. And a big part of that

0:30:44.240 --> 0:30:47.240
<v Speaker 9>is prototyping, beginning to think about the kind of life

0:30:47.280 --> 0:30:49.160
<v Speaker 9>you want to lead, the kind of career you want

0:30:49.200 --> 0:30:52.760
<v Speaker 9>to want to lead or to be involved in, and

0:30:52.800 --> 0:30:56.240
<v Speaker 9>how do you prototype those experiences, which is all about

0:30:56.240 --> 0:31:00.520
<v Speaker 9>internships and co ops, and so it feeds nicely into

0:31:00.560 --> 0:31:03.880
<v Speaker 9>the transition from college to life as.

0:31:03.760 --> 0:31:07.840
<v Speaker 4>Well, President Rogers, what's the typical four year graduation rate

0:31:08.040 --> 0:31:10.320
<v Speaker 4>at the school right now? How long does it typically

0:31:10.360 --> 0:31:12.240
<v Speaker 4>take students to r.

0:31:13.520 --> 0:31:17.600
<v Speaker 9>Yeah, our four year graduation rate is closer to fifty percent.

0:31:17.760 --> 0:31:20.880
<v Speaker 4>So that's going to be some serious work to ensure

0:31:20.880 --> 0:31:22.840
<v Speaker 4>that these students. Do you graduate in four years?

0:31:23.960 --> 0:31:24.280
<v Speaker 9>Yes?

0:31:24.600 --> 0:31:28.560
<v Speaker 4>Well, what are you sorry? What are you budgeting in

0:31:28.560 --> 0:31:31.320
<v Speaker 4>in terms of students not being able to do that?

0:31:34.560 --> 0:31:38.280
<v Speaker 9>Well, from a total dollar amount, we assume there's probably

0:31:39.640 --> 0:31:43.280
<v Speaker 9>five percent of this group of students that we may

0:31:43.360 --> 0:31:45.880
<v Speaker 9>need to have some extra skin in the game. But

0:31:46.400 --> 0:31:49.560
<v Speaker 9>I'll tell you Tim what we've learned honestly the pressure

0:31:49.600 --> 0:31:51.880
<v Speaker 9>testing of this and this is why we are willing

0:31:51.960 --> 0:31:55.520
<v Speaker 9>to be held accountable for this type of philanthropy. And

0:31:55.560 --> 0:31:58.000
<v Speaker 9>that's what I think is a key story here. This

0:31:58.120 --> 0:32:02.960
<v Speaker 9>is very much about accountable philanthropy and why we are

0:32:03.040 --> 0:32:06.480
<v Speaker 9>willing to be accountable. During the pressure test, we found

0:32:06.920 --> 0:32:09.479
<v Speaker 9>that we can act if we help take away the

0:32:09.520 --> 0:32:13.360
<v Speaker 9>financial challenge the student has they want to graduate in

0:32:13.520 --> 0:32:16.160
<v Speaker 9>four years or less because they want to begin their career.

0:32:17.520 --> 0:32:20.520
<v Speaker 3>I do have a question though, and I'm wondering in

0:32:20.640 --> 0:32:23.280
<v Speaker 3>terms of is this going to change, like the admissions

0:32:23.280 --> 0:32:26.560
<v Speaker 3>process of who you accept because of the importance of

0:32:26.600 --> 0:32:28.560
<v Speaker 3>making sure these kids get through in four years.

0:32:30.440 --> 0:32:36.120
<v Speaker 9>Well, we are a selective admission university to begin with,

0:32:36.240 --> 0:32:40.560
<v Speaker 9>so we only we're admitting students who we believe can

0:32:40.600 --> 0:32:45.560
<v Speaker 9>be successful at the university. So they have hit an

0:32:45.640 --> 0:32:50.080
<v Speaker 9>appropriate kind of academic admission standard where we believe they

0:32:50.120 --> 0:32:55.040
<v Speaker 9>can be successful here. This program basically takes away the

0:32:55.080 --> 0:32:59.600
<v Speaker 9>majority of the financial need though, and by taking that away,

0:33:00.000 --> 0:33:04.720
<v Speaker 9>students can focus on their collegiate experience and.

0:33:05.000 --> 0:33:07.400
<v Speaker 1>How does it help in terms of figuring out what

0:33:07.440 --> 0:33:10.280
<v Speaker 1>you want to do, What is a class path, what

0:33:10.360 --> 0:33:13.280
<v Speaker 1>courses it take, so you're not wasting time in your major.

0:33:13.120 --> 0:33:16.000
<v Speaker 3>And President Rogers, we only have about thirty seconds left

0:33:16.560 --> 0:33:17.080
<v Speaker 3>real quick.

0:33:17.160 --> 0:33:20.560
<v Speaker 9>The Life Design initiative, from the first time they step

0:33:20.600 --> 0:33:23.320
<v Speaker 9>on campus, they meet with a design coach. They lay

0:33:23.360 --> 0:33:28.600
<v Speaker 9>out what we call the Falcon flight plan, which is

0:33:29.280 --> 0:33:32.720
<v Speaker 9>basically where the Falcons that's our mascot. The flight plan

0:33:32.840 --> 0:33:35.720
<v Speaker 9>really takes them through that four years and they learn

0:33:35.760 --> 0:33:39.280
<v Speaker 9>how to navigate that from day one to thinking about

0:33:39.560 --> 0:33:41.120
<v Speaker 9>what's surprised at the end.

0:33:41.320 --> 0:33:43.840
<v Speaker 3>We're looking forward to checking back with you and Janet

0:33:43.840 --> 0:33:47.520
<v Speaker 3>on this as these students progress. Rodney Rogers. He's a

0:33:47.560 --> 0:33:50.360
<v Speaker 3>president of Bowling Green State University, along with Bloomberg News

0:33:50.440 --> 0:33:53.600
<v Speaker 3>Higher education reporter Janet lauren Er. Thanks to both of you.

0:33:54.680 --> 0:33:58.720
<v Speaker 6>Brother the journal.

0:34:00.000 --> 0:34:00.800
<v Speaker 1>Don't you let me drive?

0:34:01.040 --> 0:34:03.080
<v Speaker 8>Oh no, no, no, no, who's going to drive?

0:34:03.360 --> 0:34:04.440
<v Speaker 10>Honry?

0:34:04.600 --> 0:34:07.120
<v Speaker 5>Please, I'll gravel ease?

0:34:07.160 --> 0:34:08.319
<v Speaker 3>Wat I want to drive.

0:34:10.560 --> 0:34:11.440
<v Speaker 4>It's a good question.

0:34:12.200 --> 0:34:17.560
<v Speaker 2>Try This is the drive to the Globe.

0:34:17.400 --> 0:34:18.200
<v Speaker 3>Dot com for me?

0:34:18.239 --> 0:34:21.680
<v Speaker 2>I think well, Bern on Bloomberg Radio.

0:34:21.840 --> 0:34:24.000
<v Speaker 3>All right, everybody, we've got on just about eighteen minutes

0:34:24.080 --> 0:34:27.560
<v Speaker 3>left in today's trading session. It's kind of an interesting day.

0:34:27.640 --> 0:34:29.760
<v Speaker 3>I feel like we're getting ready for the monthly jobs

0:34:29.760 --> 0:34:33.760
<v Speaker 3>report tomorrow, so the economy US economy is certainly front

0:34:34.480 --> 0:34:36.680
<v Speaker 3>of mind. And this, of course, we've got a FED

0:34:36.719 --> 0:34:39.320
<v Speaker 3>meeting next week, so watching what they might say about

0:34:39.320 --> 0:34:41.680
<v Speaker 3>the future rate environment to come. So I'm curious what

0:34:41.680 --> 0:34:42.719
<v Speaker 3>our next guest has to say.

0:34:42.800 --> 0:34:42.960
<v Speaker 6>Yeah.

0:34:43.000 --> 0:34:46.319
<v Speaker 4>Martin Escobari is co president and head of Global Growth

0:34:46.320 --> 0:34:49.040
<v Speaker 4>Equity at the private equity firm General Atlantic. He joins

0:34:49.120 --> 0:34:52.080
<v Speaker 4>us here in our Bloomberg Interactive Brokers studio. The firm

0:34:52.080 --> 0:34:55.680
<v Speaker 4>has approximately ninety billion dollars in assets under management. When

0:34:55.719 --> 0:34:59.040
<v Speaker 4>people hear General Atlantic, they think private equity. So talk

0:34:59.080 --> 0:35:01.360
<v Speaker 4>to us about the public equity side of this, the

0:35:01.360 --> 0:35:02.279
<v Speaker 4>growth equity side of this.

0:35:03.239 --> 0:35:06.080
<v Speaker 10>Listen, We've been doing growth equity for forty three years,

0:35:06.120 --> 0:35:08.760
<v Speaker 10>and what growth equity is is late stage venture capital.

0:35:08.760 --> 0:35:11.680
<v Speaker 10>It's investing in high growth companies. Our companies are growing

0:35:11.719 --> 0:35:14.239
<v Speaker 10>thirty forty fifty percent per year. Majority of them are

0:35:14.280 --> 0:35:17.280
<v Speaker 10>already profitable, and we're helping them scale to the next level.

0:35:17.640 --> 0:35:21.640
<v Speaker 10>We take them public and we hold them while they're public.

0:35:21.680 --> 0:35:24.040
<v Speaker 10>But the ninety percent of what we have in the

0:35:24.040 --> 0:35:26.400
<v Speaker 10>portfolio on the ninety billion that you talked about is

0:35:26.440 --> 0:35:28.920
<v Speaker 10>still private. Yeah, and in about ten percent of what

0:35:28.960 --> 0:35:32.440
<v Speaker 10>we do is public because we took them public most often.

0:35:32.760 --> 0:35:35.000
<v Speaker 4>How has that activity been in a higher interest rate

0:35:35.080 --> 0:35:36.520
<v Speaker 4>environment over the last couple of years.

0:35:37.920 --> 0:35:40.560
<v Speaker 10>It is the worst of times and the best of

0:35:40.600 --> 0:35:44.319
<v Speaker 10>times for growth equity today. Unpack that why it's the

0:35:44.360 --> 0:35:46.600
<v Speaker 10>worst of times because the IPO markets have been shut

0:35:46.600 --> 0:35:49.880
<v Speaker 10>down effectively for two years. That hasn't happened since two thousand.

0:35:49.920 --> 0:35:51.880
<v Speaker 3>Some say it's not going to necessarily come back to

0:35:51.880 --> 0:35:55.239
<v Speaker 3>the levels that we've seen just because companies don't need

0:35:55.280 --> 0:35:56.160
<v Speaker 3>to go public.

0:35:57.040 --> 0:36:01.239
<v Speaker 10>It will never be as euphoric as twenty nineteen to

0:36:01.280 --> 0:36:05.080
<v Speaker 10>twenty one, just like it didn't become a fork as

0:36:05.080 --> 0:36:08.120
<v Speaker 10>a fougus nineteen to one. Since ninety eight two oh one,

0:36:09.400 --> 0:36:11.720
<v Speaker 10>it was too easy to go public immature companies.

0:36:11.760 --> 0:36:13.520
<v Speaker 3>When publics are messy, it was.

0:36:13.560 --> 0:36:16.279
<v Speaker 10>Messy and not good for the industry, not good for

0:36:16.360 --> 0:36:19.360
<v Speaker 10>those companies. The IPO market will come back, but the

0:36:19.440 --> 0:36:23.080
<v Speaker 10>minimum is scale to be public is dramatically higher, and

0:36:23.120 --> 0:36:25.560
<v Speaker 10>that is good for the industry, and that is.

0:36:25.560 --> 0:36:26.240
<v Speaker 1>Good for the company.

0:36:26.360 --> 0:36:28.080
<v Speaker 3>What does that mean? In other words, you mean like

0:36:28.160 --> 0:36:29.640
<v Speaker 3>profitability metrics, Like.

0:36:29.640 --> 0:36:36.319
<v Speaker 10>That's predictability, predictability, profitability and a minimum market cup. In

0:36:36.360 --> 0:36:39.040
<v Speaker 10>our view, the idea you can be a successful public

0:36:39.040 --> 0:36:41.279
<v Speaker 10>and trader company with a market cup of under a

0:36:41.320 --> 0:36:44.960
<v Speaker 10>billion dollars, it's not consistent with the world today. I

0:36:44.960 --> 0:36:46.960
<v Speaker 10>think in our mind you have to be three four

0:36:47.040 --> 0:36:49.160
<v Speaker 10>five billion dollar market cup with a free flow north

0:36:49.200 --> 0:36:51.840
<v Speaker 10>of a billion, to have equity research coverage, to have

0:36:51.920 --> 0:36:55.759
<v Speaker 10>institutional support, and to have the maturity to be able

0:36:55.800 --> 0:36:58.520
<v Speaker 10>to communicate with the market in a way that's understandable,

0:36:58.880 --> 0:37:02.280
<v Speaker 10>and have enough liquidity. Is that small moves in supply

0:37:02.320 --> 0:37:05.560
<v Speaker 10>and the man of stock don't plummet or cause a

0:37:05.600 --> 0:37:08.200
<v Speaker 10>massive high class the one we were seeing and you

0:37:08.239 --> 0:37:09.720
<v Speaker 10>were just commenting with the other.

0:37:09.600 --> 0:37:14.080
<v Speaker 4>Company, Martine. In the growth equity space at General Atlantic.

0:37:14.760 --> 0:37:19.120
<v Speaker 4>Are the exits in your world typically IPOs or could

0:37:19.120 --> 0:37:22.520
<v Speaker 4>they be other types of exits sold to another private

0:37:22.560 --> 0:37:23.640
<v Speaker 4>equity firm for example.

0:37:23.800 --> 0:37:26.799
<v Speaker 10>That's a great question, thank you, Tim. If you take

0:37:26.840 --> 0:37:29.879
<v Speaker 10>the twenty year view, fifty percent of the time we're

0:37:29.920 --> 0:37:33.160
<v Speaker 10>exiting to a strategic or to another private and typically

0:37:33.160 --> 0:37:34.160
<v Speaker 10>in a control transaction.

0:37:34.239 --> 0:37:34.680
<v Speaker 3>That's a lot.

0:37:35.120 --> 0:37:38.840
<v Speaker 10>Fifty percent is in the public markets. That's the average,

0:37:38.880 --> 0:37:41.560
<v Speaker 10>and the averages, you know, is always deceiving. In twenty

0:37:41.640 --> 0:37:43.719
<v Speaker 10>nineteen to twenty one, it was eighty percent through the

0:37:43.760 --> 0:37:46.480
<v Speaker 10>public markets because the markets were very welcoming and as

0:37:46.520 --> 0:37:50.360
<v Speaker 10>you said, messy and disorganized but easy to find me

0:37:50.520 --> 0:37:53.759
<v Speaker 10>very receptive. Over the last three years, eighty percent is

0:37:53.760 --> 0:37:56.759
<v Speaker 10>to strategics. On average, it looks like fifty percent, but

0:37:56.800 --> 0:37:58.279
<v Speaker 10>the day to day flooded cats a lot.

0:37:58.520 --> 0:38:01.520
<v Speaker 3>Wow, that's a lot. I am curious though, you said

0:38:01.520 --> 0:38:04.759
<v Speaker 3>about the growth your portfolio companies are seeing growth of

0:38:04.800 --> 0:38:06.719
<v Speaker 3>thirty to forty to fifty percent. I'm assuming that's a

0:38:06.760 --> 0:38:09.480
<v Speaker 3>year over year year year year every year. Is that continuing?

0:38:09.520 --> 0:38:11.280
<v Speaker 3>I'm just curious if there are any kind of markdowns

0:38:11.280 --> 0:38:13.799
<v Speaker 3>that you're going to have to take because of kind

0:38:13.800 --> 0:38:17.080
<v Speaker 3>of a reset when it comes to a higher rate environment.

0:38:17.400 --> 0:38:20.680
<v Speaker 10>There was a big risk reset in valuations. So the

0:38:20.800 --> 0:38:23.440
<v Speaker 10>multiples we're being asked to pay today relative to what

0:38:23.480 --> 0:38:25.840
<v Speaker 10>we were asked to pay in twenty twenty one sixty

0:38:25.880 --> 0:38:29.120
<v Speaker 10>percent below. Okay, we've reset to a new reality. Some

0:38:29.160 --> 0:38:32.520
<v Speaker 10>would say it's overcompensated. To the downside. The growth, the

0:38:32.560 --> 0:38:35.440
<v Speaker 10>engines of growth which we can talk about what's driving

0:38:35.480 --> 0:38:40.040
<v Speaker 10>the growth in the portfolio, are undimmed and remain extremely strong.

0:38:40.080 --> 0:38:41.719
<v Speaker 10>So when I say it was the worst of time

0:38:41.880 --> 0:38:45.200
<v Speaker 10>we were talking about the difficulties in getting going public,

0:38:45.320 --> 0:38:47.759
<v Speaker 10>it is the best of times because the engine of growth,

0:38:47.800 --> 0:38:51.040
<v Speaker 10>which is driven primarily about technology, is alive and well

0:38:51.080 --> 0:38:53.840
<v Speaker 10>and we're not seeing it, with rare exceptions, any degradation

0:38:54.440 --> 0:38:55.719
<v Speaker 10>in the growth of the companies.

0:38:56.000 --> 0:38:57.960
<v Speaker 3>Martin, When you talk technology, you know, Tim and I

0:38:58.000 --> 0:38:59.399
<v Speaker 3>talk about this all the time. We have a guest,

0:38:59.400 --> 0:39:03.120
<v Speaker 3>I mean, technolog is a big bucket. What's the technology

0:39:03.120 --> 0:39:05.600
<v Speaker 3>where you are seeing that thirty forty fifty percent growth

0:39:05.640 --> 0:39:06.879
<v Speaker 3>that you guys are investing in.

0:39:07.400 --> 0:39:09.399
<v Speaker 10>If you take a step back, we believe we as

0:39:09.400 --> 0:39:12.440
<v Speaker 10>a growth equity are benefiting from three revolutions, and it's

0:39:12.480 --> 0:39:18.040
<v Speaker 10>indirectly answering your question. The first revolution is digital transition.

0:39:18.600 --> 0:39:21.640
<v Speaker 10>More industries are doing more of their interactions with their

0:39:21.680 --> 0:39:24.680
<v Speaker 10>customers and they're with the suppliers digitally. It's a trend

0:39:24.680 --> 0:39:28.240
<v Speaker 10>that's twenty five years in the making, now accelerated by AI.

0:39:28.640 --> 0:39:31.600
<v Speaker 10>Truly transformed. That's one driver of growth and it has

0:39:31.640 --> 0:39:34.640
<v Speaker 10>to do with the transition to a digital world. The

0:39:34.680 --> 0:39:40.040
<v Speaker 10>second revolution is healthcare innovation. The healthcare system today is

0:39:40.080 --> 0:39:44.360
<v Speaker 10>not functioning correctly. Are in the US, for example, and

0:39:44.440 --> 0:39:46.319
<v Speaker 10>we're global US about forty five percent of what we

0:39:46.360 --> 0:39:49.160
<v Speaker 10>do in the US healthcare spen has gone from twelve

0:39:49.160 --> 0:39:51.600
<v Speaker 10>percent of GDP to twenty four percent of the GDP

0:39:51.760 --> 0:39:54.680
<v Speaker 10>before the baby boomers get into the really expensive phase

0:39:54.719 --> 0:39:57.320
<v Speaker 10>of their life. From a healthcare perspective, the system which

0:39:57.440 --> 0:40:00.680
<v Speaker 10>pays for services is doing too much service and not

0:40:00.800 --> 0:40:04.759
<v Speaker 10>enough health. It is only with technology can we get

0:40:04.800 --> 0:40:06.680
<v Speaker 10>better service at the right place, at the right price

0:40:06.719 --> 0:40:10.600
<v Speaker 10>and improve healths spend while reducing costs. Technology has a

0:40:10.680 --> 0:40:13.440
<v Speaker 10>role to do. At the same time, we believe we're

0:40:13.480 --> 0:40:16.640
<v Speaker 10>in the golden age of biology there's a whole revolution

0:40:16.800 --> 0:40:20.200
<v Speaker 10>happening with biotech. Forty five percent of the disease burden

0:40:20.239 --> 0:40:23.960
<v Speaker 10>of the world has a biologic solution in clinical trials

0:40:24.040 --> 0:40:26.959
<v Speaker 10>somewhere in the world, and we're in the very early

0:40:27.040 --> 0:40:29.440
<v Speaker 10>indians of that revolution, which is got twenty years.

0:40:29.360 --> 0:40:32.040
<v Speaker 3>Left, so it's not tapping into DNA, but you're talking

0:40:32.040 --> 0:40:33.800
<v Speaker 3>about companies that already have some kind of solution that

0:40:33.800 --> 0:40:35.799
<v Speaker 3>they're on the early stages, on the early stage, because

0:40:35.800 --> 0:40:37.319
<v Speaker 3>we've done a whole story on twenty three and me

0:40:37.440 --> 0:40:39.600
<v Speaker 3>who believe that, you know, we're hoping to kind of

0:40:39.640 --> 0:40:43.960
<v Speaker 3>write monetize kind of the mapping of the genome.

0:40:43.719 --> 0:40:46.160
<v Speaker 10>But it just kind of has that's about therapeutics to

0:40:46.239 --> 0:40:50.399
<v Speaker 10>address Alzheimer's and cancer and other diseases in parkinson that

0:40:51.200 --> 0:40:53.320
<v Speaker 10>probably over the next twenty years we'll figure it out,

0:40:53.560 --> 0:40:56.360
<v Speaker 10>and that's super exciting. That rate of innovation now again

0:40:56.680 --> 0:40:59.880
<v Speaker 10>turbo charge BII is going to happen faster and for

0:41:00.000 --> 0:41:03.880
<v Speaker 10>people my age is great news. Couldn't come longevity.

0:41:05.719 --> 0:41:09.239
<v Speaker 4>What's the common thread that sort of unifies your investments,

0:41:09.280 --> 0:41:11.759
<v Speaker 4>Like if there's one characterization of a company that you

0:41:11.760 --> 0:41:13.640
<v Speaker 4>could make it says, okay, well, every one of the

0:41:13.640 --> 0:41:16.959
<v Speaker 4>companies that I've invested in and for growth Equity has this.

0:41:16.920 --> 0:41:22.400
<v Speaker 10>One thing entrepreneurial, innovative, global.

0:41:22.680 --> 0:41:25.719
<v Speaker 4>Yeah, so size doesn't matter, So.

0:41:25.680 --> 0:41:27.880
<v Speaker 10>We start really small. We'll write checks of twenty five

0:41:27.880 --> 0:41:30.120
<v Speaker 10>to fifty million dollars of a company that could be

0:41:30.160 --> 0:41:33.200
<v Speaker 10>growing very faster with a small base. But we try

0:41:33.239 --> 0:41:36.120
<v Speaker 10>to find people who are having a part in one

0:41:36.160 --> 0:41:40.200
<v Speaker 10>of these revolutions with a mousetrap. That's interesting, it's generating

0:41:40.239 --> 0:41:43.960
<v Speaker 10>economic value. It's it's a mousetrap that is defensible meanings,

0:41:44.040 --> 0:41:46.279
<v Speaker 10>it won't be eroded over time, and it has a

0:41:46.320 --> 0:41:48.040
<v Speaker 10>team that is ready for the mission.

0:41:48.160 --> 0:41:49.160
<v Speaker 4>What's your success rate?

0:41:49.760 --> 0:41:52.520
<v Speaker 10>So we lose money three percent of the time to

0:41:52.520 --> 0:41:54.399
<v Speaker 10>some extend ninety seven percent of the time, we get

0:41:54.400 --> 0:41:57.399
<v Speaker 10>at least our capital back. Ten percent of the time

0:41:57.480 --> 0:42:01.240
<v Speaker 10>we have a blockbuster outcome and ten percent of deals

0:42:01.560 --> 0:42:04.120
<v Speaker 10>generated about half of our richard And that's been true

0:42:04.160 --> 0:42:07.640
<v Speaker 10>for decades. And where to reflect what are the common

0:42:07.760 --> 0:42:10.560
<v Speaker 10>characteristics of those ten percent they have? They share a

0:42:10.600 --> 0:42:12.680
<v Speaker 10>couple of careths. They're going after very large markets.

0:42:12.680 --> 0:42:14.880
<v Speaker 3>Just got about fifteen seconds, go ahead.

0:42:14.600 --> 0:42:17.160
<v Speaker 10>Okay, large markets, great business model and good team.

0:42:17.320 --> 0:42:21.440
<v Speaker 3>Sorry, yeah, I got it. Yeah, you can work with us.

0:42:21.480 --> 0:42:23.520
<v Speaker 3>I didn't want to have you cut off. Martin. Thank

0:42:23.560 --> 0:42:25.720
<v Speaker 3>you so much. Look forward to checking in with you again.

0:42:25.920 --> 0:42:28.840
<v Speaker 3>Martin Escobari he's co president, head of Global Growth Equity

0:42:28.840 --> 0:42:31.279
<v Speaker 3>over the private equity from General Electric, joining us here

0:42:31.320 --> 0:42:32.759
<v Speaker 3>in General Atlantic.

0:42:32.920 --> 0:42:33.360
<v Speaker 1>Wow.

0:42:34.080 --> 0:42:34.400
<v Speaker 6>Ge.

0:42:34.640 --> 0:42:36.520
<v Speaker 3>Sorry that was from the past.

0:42:37.480 --> 0:42:42.120
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0:42:42.280 --> 0:42:46.000
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