In short
Odd Lots Podcast Episode Summary
Episode Title
Lots More on the Big Problem With the Monthly Jobs Report
Hosts
- Joe Weisenthal
- Tracy Alloway
Guest
- Steven Englander, Global Head of G10 FX Research and North America Strategy at Standard Chartered Bank
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Key Themes and Discussions
Current Labor Market Overview
- Unemployment Rate: Stands low at 4.2%.
- Job Creation: Slowing pace of job creation with recent Non-Farm Payrolls (NFP) numbers often revised lower.
- Labor Market Complexity: Understanding the data is increasingly complex due to factors like immigration changes, aging demographics, and AI integration.
Challenges with Monthly Jobs Report
- Data Reliability: The BLS's initial estimates are often revised downwards, leading to skepticism about the accuracy of monthly reports.
- Business Formation Adjustments: The "birth-death adjustment" attempts to account for net job creation by new and closing firms but relies on a simplistic model that may not reflect current realities.
Importance of Accurate Metrics
- NFP Numbers: Traditional measures now require careful interpretation, especially with the labor market dynamics in flux.
- Alternative Data Sources: The Business Employment Dynamics and Quarterly Census of Employment and Wages provide more reliable insights, albeit with a lag.
Policy Implications
- Monetary Policy: The difficulty in interpreting job data raises challenges for economic policy-making, especially regarding Federal Reserve decisions.
- Potential Cuts in Interest Rates: If job numbers are weaker than expected, it may necessitate discussions on interest rate cuts to stimulate the economy.
Discussion on Rates vs. Levels
- Focus on Rates:
- Austin Goolsbee's "four horsemen of truth": Unemployment rate, hiring rate, firing rate, and wage growth are key indicators.
- Rates are seen as more stable than absolute levels and provide a clearer picture of labor market health.
- Employment to Population Ratio: A critical metric indicating potential issues with labor market participation.
Bond Market Insights
- Recent Trends: Discussion on the sell-off in long-term bonds and the impact of softening job data on market expectations.
- European Market Dynamics: The podcast highlights the unique challenges within European bond markets, including high deficits and political instability.
Conclusion
- The episode emphasizes the need for critical assessment and nuanced understanding of labor market data amidst prevailing economic uncertainties. It explores how inaccurate perceptions can lead to significant policy missteps and market volatility.
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Key Takeaways
- The labor market is undergoing significant transitions that complicate traditional data interpretations.
- The accuracy of job creation metrics is vital for economic policy, with implications for future monetary policy decisions.
- Understanding the context behind employment figures is crucial, especially in light of potential economic slowdowns and inflation concerns.
- The global bond market, particularly in Europe, is influenced by broader fiscal conditions and political challenges, affecting investor sentiment and expectations.
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Related Resources
- [Bloomberg Odd Lots Newsletter](https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast)
- [Ecolab](https://www.ecolab.com/)
- [EasyCater](https://www.easycater.com/)
- [Metronome](https://www.metronome.com/public)
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*This summary encapsulates the major discussions and insights from the episode, providing a compact yet comprehensive view of the labor market challenges and their implications for policy and economics.*
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Your best bottling plant employs 3 ,300 people. How do you get 3 ,300 people working at peak efficiency? Your best store has reduced waste, water, and energy usage. How do you make every store like your best store? Your best property has every guest raving. How do you make every property like your best property? The answer is Ecolab. Better performance, better outcomes, better impact. Ecolab. Now every location is your best location. How many vendors does it take to meet all your organization's food needs? Just one. EasyCater, the workplace food platform that lets teams order from a huge variety of restaurants, over 100 ,000 nationwide, all through a single vendor.
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1:38Bloomberg Audio Studios. Podcasts. Radio. News. Joe, I have an embarrassing confession. Go on. You know the birth-death adjustment? I have the same confession. I used to think it was something about, like, the population of people and the labor supply, but it's not. It's about business formation. Yes, that's right. Oh, my confession is even more embarrassing, which is that I literally always forget what it is. I did a deadlift. I am both the most popular trader and most successful trader at Citadel. FEDA's going viral. Barges. This is an after-school special, except... I've decided I'm going to base my entire personality going forward on campaigning for a strategic pork reserve in the U.S.
2:21Black gold! These are the important questions. Is it robots taking over the world? No, I think that like in a couple of years, the AI will do a really good job of making the Odd Lots podcast. One day that person will have the mandate of heaven. How do I get more popular and successful? We do have the perfect guest. You're listening to Lots More, where we catch up with friends about what's going on right now. Because even when the Odd Lots is over, there's always lots more. And we really do have the perfect guest.
2:55When people are listening to this, it is Jobs Day. We're recording this September 4th, Jobs Day, September 5th. The important thing to know right now is that to some extent, that monthly non-farm payrolls report that everyone depends on and relies on has never felt to me like more of a moving target in terms of what I'm supposed to be looking at. For many years, it's like, okay, how many jobs were created this month? Yeah, it's going to get revised a little bit, but that tells you something. Now, between seasonality, post-COVID sort of normalization that's still processing, and then, of course, the sort of changes in immigration policy, which have swung dramatically in a year.
3:29These numbers, it's not clear that you actually have to put in some work to understand these numbers. No, totally. And also, I mean, the BLS itself seems to have some difficulty with the numbers because the trend that we've seen is they put out a non-farm payroll, like an initial estimate on a Friday. And then a few weeks later, you get the revisions and the revisions always seem to be downwards lately. Lately, they've been mostly downwards. And then there's annual revisions and those are coming up, I believe, next week. And, you know, we're at a time when setting aside the collection, and of course, setting aside the fact that the BLS chief has been fired, and there's going to be a new one at some point, setting aside all of these things, we're also at a time when there are significant questions about just the macro state of the economy and whether the sort of low hiring, low firing mode, which is characterized for a while now, is at risk of deteriorating further.
4:22I don't know. It's a tough read. You know who we should ask? Steve Englinder. Okay. But let me start with a broader question. Excellent. And the thing is that the question has changed. Like in the past, we used to say, okay, last month or, you know, last 12 months, NFP growth was 200 ,000. Looks like 100 ,000 now. Things have slowed down. That's all we had to know. This time around, because supply is so important, everyone is making an estimate and kind of saying, well, native-born workers, you know, maybe 70 ,000. If you're pessimistic, if you think we have net emigration from foreign-born workers, you have a view of 50.
5:00and if you think that there's still some legal immigration coming in, maybe you're at 100. And that means that getting the level right is really important. And the problem with the NFP numbers that it actually has two components, one of which is the one that we all think about. They survey about 160 ,000 businesses, maybe 600 ,000 establishments, and basically say, okay, how many workers did you have last month? How many did you have this month? And through their statistical analysis, they say, okay, this is a change. So that's for firms that are in continual operation that gives them that number.
5:37The problem is that they have no handle on firms that have just opened and very little handle on firms that have just closed. So they use something called the birth death adjustment to adjust for employment by those latter two categories of firms, net job creation from new firms minus closing firms. And the problem is that they have a very simple model. And it was fine in the past when all you cared about was the direction. But now when you're saying it really matters if NFP gross is 50, having a bias in that number really affects things. And what you see is that that number has, through thick and thin, has stayed about 100 ,000 And jobs, you know, when you seasonally adjust it, because they publish a not seasonal adjustment, but you can do a rough and ready seasonal adjustment.
6:27It's very stable at about every month, 100 ,000 jobs or almost 100 ,000 jobs are coming from that birth death adjustment in terms of what we see on Bloomberg page Friday morning at 830. We have another source of information on that, which lags, but which is far more accurate. This is something called the business employment dynamics. It lags by about eight months, but it's based on the quarterly census of employment and wages. And what that shows is that in 2024, like Q4 2024, say the four quarters, both the employment growth coming from continuing firms and continuing operation and the employment growth from newly open firms, let's just close firms, they've tanked.
7:11So you're sort of looking at a reliable source because it's not even a sample. This is the entire population. They know what opened and what's closed saying, hey, there just isn't any significant jobs creation from newly formed firms. And the NFP number keeps telling you that there's 100 ,000 jobs coming from that. This is already excellent. Next week, we are getting yet another one of these QC quarterly. QCU. What do you call it? I call it QCU, but I'm pretty sure that's not right. What's the right one? What do we call it? I call it QCW. Okay. We get a new QCEW. That's the 9th? September 9th, we get that?
7:50Right. Tell us what this is. Let's walk through this part again in terms of what is it that's high quality about this data, why we expect it to show further downward revisions, and why there continues to be this sort of downward bias in this initial snapshot versus ladder, better insight. Okay. First, NFP has a big sample, but it's a sample. There's sampling errors and people who don't report, and you don't know if there's a bias and who's reporting and who's not reporting. So there's always some inherent error there. QCEW is basically the universe. It's not a sample. They get administrative data from the labor department saying how many people paid into unemployment insurance.
8:29And that's basically everybody, because everybody does. Everybody who's working does pay into unemployment insurance. And so when they come up with a number, There's a bit of revision because sometimes some firms don't report in time, but there's not much. And it's very authoritative. And so if you sort of say, oh, QCEW and the business employment dynamics tell us that in 2024, there was almost no job creation from newly opened, let's just close firms. You believe it because you're not going to get a better source. There's no other source to that. And so that's why it's used for the benchmark.
9:04It probably should be used to re-benchmark employment more frequently in the year because they do publish it quarterly. But, you know, when it comes out, it's a big deal. And we think it's likely to tell us that somewhere between 750 and maybe 1.1 million jobs, that's the overstatement, between Q1 2024 and Q1 2025. Wow. And that will knock off a lot in terms of headline employment growth. the key point is that there's no reason to believe that the bias has really shifted. One of the other unusual things that's going on at the moment is we have this new head of the BLS installed by the Trump administration.
9:45And that new head suggested initially that the BLS could just stop publishing jobs numbers altogether, or maybe they could publish them less frequently, like on a quarterly basis or something. Is the quarterly idea, maybe that's reasonable given the lag with the QCEW data? I think that they can do things that are far less dramatic to improve the quality of the monthly numbers, because we do have some information that's relevant for jobs creation by newly opened firms. Going back to business employment dynamics, if you look at how job creation from existing firms, continuing firms, and job creation from new firms move, they tend to move together.
10:27The amplitude is different, but the direction is very much the same. They can use the sample data that they get from the 160 ,000 firms, 600 ,000 plus establishments that they sample and say, look, if continuing firms are telling us that job creation is 20 ,000 a month, it's very unlikely that job creation from new firms is going to be 100. We can use a variety of statistical methods to sort of make a guesstimate. It won't be perfect, but it'll be a lot better.
11:01Thank you.
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13:23The sentence is because Trump has his own BLS person now, I don't necessarily see a bad number on Friday. I'm not that pessimistic. I think I don't know. I don't know. I don't have a view. I don't have a view on this. But where were you? Who said this? I don't want to say because I'm not sure it's public or not. But this is a notable person? Yes. It's someone you know, actually. OK, fine. And not me. And not Steve. Not Steven. Let's talk about the conversation has focused on these levels and pace of job creation and so forth. We recently did an episode with Austin Goolsbee, the Chicago Fed president.
14:00And he was like, so much is in flux. I'm not really looking at levels. And he called what he's like, he used this term very dramatic, the four horsemen of truth. He's interested in rates. He's interested in the unemployment rate, which is still at 4.2%. He's interested at the hiring rate, which we had the JOLTS report come out this week. It's at 3.3%. He's interested in the firing rate, which I think has still been fairly low. Maybe he's looking at the rate of wage growth. I don't remember what the fourth horseman was. In a time of volatility, what do you think about this idea? Like, let's just forget about levels and just focus on rates because they don't get revised as much.
14:35You go out and you ask thousands of people, are you employed or unemployed right now? And if 4.2 % say they're unemployed, that is probably a reasonable proxy for whether people are employed or not. Right. But Joe, if you turned out to be the next person named to the FOMC, to the board, and you see payroll number and it comes out at 75 ,000, like tomorrow's consensus, is that a strong number or a weak number? Well, that's what I'm saying. I just look at the – I don't know. I mean I don't know. Let's say – so right now, just for what it's worth, the unemployment rate is at 4.2 percent. Economists expect it to tick up to 4.3 percent.
15:10Let's say it comes at 4.2 percent. let's say we have a weak NFP number, but the unemployment rate stays at 4.2%. Why don't I say, okay, things are still more or less fine? Well, let me say this. I like rates, but I like the employment to population ratio. Okay. Because we know that participation rate is cyclical. And if you look to the employment to population ratio, all these comments that unemployment rate is stable, it looks imbalanced, nothing's changed, they don't hold up very well. We've had pretty consistent drop. Not a 2008 type of drop, but, you know, was like over 60 a year ago. Now it's 59.6.
15:49Okay. It's telling us that there's kind of increased softening. I think you can't be choosy about which rates you look at, but I think in cyclical periods, probably employment of population is telling you more. And this time, it's more on Waller's side than it is on Powell's side. I know we've been talking about weaknesses in the NFP estimates, But what's your expectation for the official number? Well, I wrote we're a little bit split-brained on this, left brain, right brain, because we live in a world where we have to get the market reaction right. Right. So our forecast is 75 ,000. This is very close to consensus, you know, nothing dramatic.
16:27I'd just say this, that you've got to realize there's so much randomness in the number. It could be 125 ,000 and not be meaningful, but it's just the way it goes. You know, what we've argued, if you look at the range of forecasts, almost everybody is between like 40 ,000 and 100 ,000, 105 ,000. So you get a number like 30. I think that will be a very dramatic number. If it's outside the range of expectations. I mean, because this range is really tight in terms of market expectation. And I think it would put 50 on the table for the Fed, because I think the argument would be that if you get a number that's so low, you probably should have cut in June or July.
17:07And so you're not saying, oh my God, the world's coming to an end, everything's falling apart, but you're saying, yeah, well, we kind of missed it. The data weren't there at the time. In retrospect, had we had those data, we probably would have cut in June or July. So we're just doing catch up now. Now for us, the real issue is how do you interpret like 100 ,000? Because we would say, okay, 100 ,000 less our bias of 70 ,000 means real job creation of 30 ,000. So you should be talking about 50. I don't think we've convinced the market yet that that's the way you should look at it. By the way, just before going on, so on the eco page, consensus is 75K, consensus is for the unemployment rate to tick up to 4.3%.
17:46Also average our earnings of 0.3 % month over month growth. So that's sort of like what we're looking at. This week, we've had some sort of soft data. We had initial claims today come in at 237K. That was ahead of the estimate of 230K. ADP employment, take it or leave it, 54K versus estimates of 68K down significantly from the 106K revised last month. ISM services employment, 46.5. That was a little bit shy of expectations. So soft and there's this risk of softening. I just think it's really interesting the range of possibilities for September because, you know, we were just in Jackson Hole and you're talking about, oh, maybe there's a case for 50, but there's also still a lot of residual concern about inflation and the inflation dragon has yet to fully be slayed.
18:32The reason I would focus on the labor market is because if it's as weak as we think it is and correctly measured, the slack in the labor market will take care of inflation. Okay. Again, I'm sort of more on Waller's side that you're not going to have any kind of power on the labor side. If I can make one comment, I mean, some people get their pleasure from banging their head against the wall. The wall I bang my head against once or twice a year is taking all of these incoming data on labor market indicators and trying to predict non-farm payrolls. You gotta have a hobby. You gotta have a hobby.
19:05And this one might be the definition of insanity and none of them work a bucket of spit. I'm looking at the Band-Aid on your forehead. See, this is, when you talk about banging your head against the wall for pleasure, you're actually talking literally it would appear. Well, you should see the wall. Okay. OK, we would be remiss if when we have you in the studio, if we did not ask about what's going on with bonds. So one of the things that's happening today is because of that softening jobs data that Joe just laid out, we are seeing a little bit of a recovery in bonds because there's more expectation that the Fed might cut.
19:41But the big story in recent days has been this huge sell off in bonds, particularly at the long end. And it does seem - Particularly in Europe. Particularly in Europe, but also in the US. It does seem kind of weird that we're talking about the economy slowing. And meanwhile, the long end of the curve just keeps going up. What's going on? Markets' attention span is maybe not as long as you give it credit for. And I think the problem is this, that you look at fiscal situations that are deteriorating globally and likely to deteriorate in the U.S., especially if anything happens with the tariffs to pull them back.
20:22And markets are kind of saying, look, in the long term, this doesn't look good. It looks like there's a lot of borrowing out there. But the long term in market terms can be six weeks and it can be six years. You don't know when those forces are going to matter. So absent anything else, the market pays attention to it. Then you sort of come in this week and every number seems to be soft. You say, oh my God, the Fed's going to cut. And all of a sudden, this sort of selling of bonds, especially because the market probably got reasonably short, worrying itself about the fiscal situation, they say, oh my God, maybe not so short.
20:55And people are buying back the bonds that they've sold. And you get the kind of dramatic movement we've seen this week. We've argued in the short term, both FX and bonds are going to be driven by the Fed and the US economy. And by short term, I mean the next month or six weeks. I think once you get past that, we don't think inflation is going to disappear. And even outside of the tariff-induced inflation, the non-tariff goods and services seem to be at best steady and maybe even edging up a bit. There's a bit of fiscal stimulus in Trump's fiscal package. I think it's possible that the economy is not as bad as it might look based on the employment numbers that we're getting, especially if there is a productivity pickup in the data that's not really recognized.
21:44So we see a possibility, or we actually see more than a possibility. We expect dollar weakness in the next couple of weeks. But by the time we get to the end of the year, we could see the dollar strengthening. Positioning is kind of short dollars in our view. And same with the bond market. And while the market's sort of saying, oh, my God, last week was debating zero and 25. This week, I suspect they'll be debating 25 and 50. While the market's debating that, bond yields are going to come down. Once that's kind of settled in terms of market expectations, I think they'll look at the fiscal picture and kind of say, you know, low fours, maybe not.
22:18It's interesting. It occurs to me when you say how when we talk about how bad the economy is, that there's actually two different ways of what bad could mean. So one is bad could just mean a sort of where you are on the cycle. We're in a deceleration cycle. We're not creating as many jobs. Therefore, we have to have a lower rate of interest to get things going again. But then bad could also mean more sort of qualitatively where what's really bad is slackening growth and also a firm inflation picture such that traditional measures of policy stimulus or de-stimulus don't work as well they'd like because there is some sort of deeper rot.
22:56And it sounds like what you're saying, if I can put all this together, is that cyclically, there's a slowdown. There may be a case for 50 basis point cut very soon, a case for lower rates, but not so bad in the case of the U.S. economy is broken and therefore policy measures won't work to get it revived again. Yeah, I think that's right. We actually don't think they'll do much more than 50. They'll say, OK, we've caught up, time to wait and see. And our baseline, because we're not yet sure about what the employment number is, is 25 and stop. But, you know, we've been talking about the choice being between 25 and 50.
23:32Just adding on one more. It really is just on the Europe situation. We mostly talk about the U.S. Like France has also their 10 year yield has been shooting higher. Yeah, this is the crazy thing. I think if we didn't have everything that was going on in the U.S. at the moment, the France story would be huge in the market. Yeah. So give us your talk to us about Europe for a minute. Yeah, look, there's a France story. I'm actually scheduled to go to France, but it looks like they might be on strike next week, so I'm not sure how that's going to play out. The structural problems that they face are kind of enormous.
24:04I mean, the French deficit's about as large as the U.S. deficit, and their interest rates are way lower than U.S. interest rates. They have a very fragile government. They're trying to do some sort of fiscal consolidation because it's not just a minority. It's like a tiny government. The opposition parties are kind of saying no way. And so that's setting the US aside. The French and broadly speaking, the European situation isn't that good. And in some cases, you're seeing sterling trade like an emerging markets economy in that the correlation of interest rates in the currency is not the normal G10 one, where higher rates lead to a stronger currency because people look at the return.
24:45the higher rates are viewed as risk premium and they're associated with a weaker currency. I mean, yeah, you can look at levels. Sorry, just to keep going. You can look at levels of debt to GDP or ratios, et cetera. But it sounds like the common thread here, at least to me, and this is the bias or this is my lens when you talk about what's going on in France. Maybe you won't even be able to visit there because of strike. When you talk about we had Liz Truss on the podcast recently, politically, these are not well-functioning polities right now, are they? Yes. And I'd say that the ability, particularly to get through unpopular measures like fiscal consolidation, is very limited.
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25:22And that's why they're all sort of have their backs against the wall. And the markets are looking at this and kind of saying, you don't really have a source of growth and you have to do austerity, but you're not. So we're looking at these ratios and where they're going to go. I think the one advantage the U.S. has is that here, at least you can tell a story where you say, look, some of the productivity numbers look pretty good. On the ground, you sense that AI is making inroads. We don't know when it's going to matter in terms of actual realized productivity, but it could. You can tell a story that's somewhat optimistic.
25:55Whereas if you look at Europe, they kind of have high energy costs. Their capital markets aren't as well developed for financing these kind of innovative firms. And they're kind of lagging on the technology side. So the battle seems to be between the U.S. and China and other countries sort of really lagging, which doesn't mean the U.S. outcome is going to be great, but at least you can tell the story, whereas it's much harder to tell the story, a European story of, say, private sector-induced growth. What's that line again, Joe? So it's like the U.S. innovates, China iterates, and Europe writes the regulation.
26:32Do you remember that? Yeah. And they also get tons of vacation and they have this amazing life. And put out think pieces. Yeah, which sounds great. So many people would kill for a job writing think pieces. I lived in France for a number of years. And I'd say the quality of life of the median French worker is well above that of the median U.S. worker. That's what I'm saying. We need to have some – this is an important point. You observed that. Yeah. And the question is whether it's sustainable. It's like living on your credit card. We need to regulate more. Instead of innovating, let's try regulating.
27:05No, we should go drink some wine for lunch. Yeah, sounds great. Great suggestion.
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From the publisher
We've been in a strange labor market for a while now. The unemployment rate is still nice and low at 4.2%. But the pace of job creation has been slowing markedly. And furthermore, not only has the pace of job creation been slowing, it seems almost every monthly Non-Farm Payrolls number ends up getting revised lower. Of course, this comes at a time of some big transitions in the workforce — whether we're talking immigration changes, aging demographics, or AI. As such, just understanding the monthly data has never been more difficult. And because it's so difficult, it's also challenging to get a read-through from data to policy. On this episode we speak with Steven Englander, global head of G10 FX research and North America strategy at Standard Chartered Bank. In addition to talking about the state of the labor market, we also discuss the goings-on in bond markets, and why the stress is particularly acute in Europe.
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