1 00:00:03,920 --> 00:00:07,000 Speaker 1: This is Bloomberg surveillance. We need to figure out a 2 00:00:07,040 --> 00:00:09,680 Speaker 1: better way to get people into work. I think more 3 00:00:09,720 --> 00:00:13,480 Speaker 1: flexible workplaces, child's care, investments in infrastructure. I think what's 4 00:00:13,520 --> 00:00:15,920 Speaker 1: happening is people realize you better be doing hiring now 5 00:00:15,960 --> 00:00:18,040 Speaker 1: because you may have a tougher time down the road. 6 00:00:18,079 --> 00:00:20,680 Speaker 1: But wage growth continues to pick up as I expect 7 00:00:20,760 --> 00:00:23,919 Speaker 1: it will. That's going to be increasingly uncomfortable having race 8 00:00:24,000 --> 00:00:27,520 Speaker 1: close to zero. Bloomberg Surveillance your link to the world 9 00:00:27,520 --> 00:00:32,240 Speaker 1: of economics, finance, and investment on Bloomberg Radio. Good morning everyone, 10 00:00:32,280 --> 00:00:34,800 Speaker 1: Michael McKee and Tom Keene's Jobs. Hey, we welcome you 11 00:00:34,840 --> 00:00:38,600 Speaker 1: worldwide and across this nation. As we moved to thirty minutes, 12 00:00:38,640 --> 00:00:41,880 Speaker 1: make a twenty nine minutes from now to a job's report. 13 00:00:42,000 --> 00:00:44,920 Speaker 1: It is one of the most interesting moments for the 14 00:00:44,960 --> 00:00:47,720 Speaker 1: American labor economy. Bill Gross to join us later in 15 00:00:47,760 --> 00:00:50,440 Speaker 1: the hour, and we're first honored to bring you James 16 00:00:50,680 --> 00:00:53,600 Speaker 1: Glassman of JP Morgan, and we'll go to the heart 17 00:00:53,680 --> 00:00:57,080 Speaker 1: of his decades of research on prime age America. This 18 00:00:57,160 --> 00:01:01,400 Speaker 1: is the place to discover the nuances and the inequalities 19 00:01:01,680 --> 00:01:06,240 Speaker 1: of our American labor economy. As always Bloomberg Surveillance brought 20 00:01:06,280 --> 00:01:10,440 Speaker 1: to by Cone Resnick, a counting tax advisory. Cone Resnick 21 00:01:10,680 --> 00:01:13,800 Speaker 1: will provide your business with the industry insight it needs 22 00:01:13,840 --> 00:01:17,240 Speaker 1: to succeed in the dynamic economy. Sign up for insights 23 00:01:17,240 --> 00:01:20,480 Speaker 1: and find out how at cone Resnick dot com. C 24 00:01:20,640 --> 00:01:23,240 Speaker 1: O h N R E Z N I c K 25 00:01:23,520 --> 00:01:26,040 Speaker 1: and on this job today we thank cone Resnick for 26 00:01:26,080 --> 00:01:29,279 Speaker 1: their daily support of what Michael and I do. Michael, 27 00:01:29,319 --> 00:01:31,920 Speaker 1: that was a pretty good hour there with the Mr 28 00:01:32,000 --> 00:01:35,120 Speaker 1: Bowder of City Group and Mr Krueger of a college 29 00:01:35,120 --> 00:01:38,399 Speaker 1: in New Jersey. I was thinking that we need to 30 00:01:38,440 --> 00:01:42,280 Speaker 1: be like hockey or basketball or something. We need overtime. 31 00:01:42,319 --> 00:01:47,160 Speaker 1: We need three overtimes, like right, Jim glass froom with 32 00:01:47,200 --> 00:01:49,280 Speaker 1: us and Jim. I think a lot of people don't 33 00:01:49,360 --> 00:01:53,040 Speaker 1: know that all of our guests have a nuance. They 34 00:01:53,080 --> 00:01:57,520 Speaker 1: have a part of economics where they're worldwide acclaimed. Your 35 00:01:57,680 --> 00:02:03,040 Speaker 1: decades of work is in prime age in younger Americans. 36 00:02:03,080 --> 00:02:06,120 Speaker 1: You are the expert in what our kids are doing 37 00:02:06,600 --> 00:02:09,799 Speaker 1: or not doing. Where is that year old right now 38 00:02:11,160 --> 00:02:15,800 Speaker 1: that was an owner of some um so here? So 39 00:02:15,840 --> 00:02:19,280 Speaker 1: here's the here's the point. Everybody's mystified by why the 40 00:02:19,360 --> 00:02:22,280 Speaker 1: labor market. Unemployment came down so quickly in the early 41 00:02:22,360 --> 00:02:25,120 Speaker 1: years of the recovery. Well, if you look closely, what 42 00:02:25,200 --> 00:02:28,520 Speaker 1: you saw was an awful lot of young adults twenties 43 00:02:28,560 --> 00:02:32,120 Speaker 1: and thirty year olds just banished. Where did they go, Well, 44 00:02:32,160 --> 00:02:35,040 Speaker 1: they have unemployment insurance, called parents, a lot of them 45 00:02:35,040 --> 00:02:38,840 Speaker 1: went back to school and um. But now now you're looking, 46 00:02:39,000 --> 00:02:41,960 Speaker 1: so everything looked like it was really getting really good 47 00:02:42,000 --> 00:02:45,360 Speaker 1: from an unemployment point of view. But you had three 48 00:02:45,400 --> 00:02:48,000 Speaker 1: million young people in their twenties and thirties dropping out, 49 00:02:48,560 --> 00:02:50,919 Speaker 1: going to do something else. They're all starting to come back. 50 00:02:50,960 --> 00:02:53,120 Speaker 1: And by the way, there's about two and a half 51 00:02:53,200 --> 00:02:57,840 Speaker 1: million people who are still in their twenty age bracket 52 00:02:57,880 --> 00:03:02,560 Speaker 1: primate prime working years who who disappeared, and they are 53 00:03:02,639 --> 00:03:04,760 Speaker 1: now starting to come back in. And that tells you 54 00:03:04,800 --> 00:03:07,840 Speaker 1: that's where this pool of hitting unemployment has been. And 55 00:03:07,880 --> 00:03:10,160 Speaker 1: this is why we're starting we're seeing good job trends, 56 00:03:10,200 --> 00:03:13,680 Speaker 1: even though you think, have we seen that before? Did 57 00:03:13,720 --> 00:03:18,919 Speaker 1: we after the crash, after the snow Never? Never before? 58 00:03:19,360 --> 00:03:21,840 Speaker 1: I saw a hint of this in two thousand and one. 59 00:03:21,919 --> 00:03:25,040 Speaker 1: In two thousand one, if you remember the telecom bust, 60 00:03:25,360 --> 00:03:28,880 Speaker 1: a lot of kids were getting offers from school. They 61 00:03:29,120 --> 00:03:30,960 Speaker 1: thought they were going to the job, and then the 62 00:03:31,000 --> 00:03:34,480 Speaker 1: company pulled the offer. We saw that for a brief moment, 63 00:03:34,520 --> 00:03:36,480 Speaker 1: for about six months that all happened, and it seems 64 00:03:36,520 --> 00:03:38,680 Speaker 1: like young people were getting hit and more than more 65 00:03:38,720 --> 00:03:41,000 Speaker 1: than normal. But we've never seen anything quite like this, 66 00:03:41,360 --> 00:03:43,120 Speaker 1: and I think, you know, maybe it speaks to the 67 00:03:43,120 --> 00:03:46,080 Speaker 1: flexibility young people have, but it's also speaks to the 68 00:03:46,200 --> 00:03:49,760 Speaker 1: realization that everybody has that you need more of a 69 00:03:49,800 --> 00:03:52,560 Speaker 1: college degree to do to get a really good job 70 00:03:52,600 --> 00:03:54,680 Speaker 1: and to do well. So it was a good time, 71 00:03:54,720 --> 00:03:57,480 Speaker 1: you know, if you have some help, it's it's it's 72 00:03:57,520 --> 00:03:59,360 Speaker 1: helpful for young people to go back and get some 73 00:03:59,480 --> 00:04:02,440 Speaker 1: specialized skill. And I think they'll be I think they'll 74 00:04:02,440 --> 00:04:04,600 Speaker 1: be glad they did that. But this is all began 75 00:04:04,680 --> 00:04:06,360 Speaker 1: to change and one of the reason the labor force 76 00:04:06,440 --> 00:04:09,080 Speaker 1: is starting to pick up again. We're seeing the participation 77 00:04:09,160 --> 00:04:12,640 Speaker 1: rate for by age shows that things are coming back, 78 00:04:12,680 --> 00:04:14,880 Speaker 1: and that tells you this two and a half million 79 00:04:14,920 --> 00:04:17,560 Speaker 1: people who are still out there are probably coming back 80 00:04:17,600 --> 00:04:20,560 Speaker 1: in as the job market gets better. Well, that was 81 00:04:20,640 --> 00:04:23,720 Speaker 1: the discussion we were just having with Alan Krueger. He says, 82 00:04:23,960 --> 00:04:26,680 Speaker 1: we're not necessarily seeing that yet what we're seeing is 83 00:04:27,000 --> 00:04:29,760 Speaker 1: people who are unemployed staying in the labor force longer, 84 00:04:30,360 --> 00:04:32,640 Speaker 1: not dropping out of the labor force because they do 85 00:04:32,760 --> 00:04:34,760 Speaker 1: think at this point that maybe there's a better chance 86 00:04:34,800 --> 00:04:37,480 Speaker 1: they'll get hired sooner. Well, I look at the participation 87 00:04:37,600 --> 00:04:40,400 Speaker 1: rate of by age to see what's going on, and 88 00:04:40,480 --> 00:04:42,960 Speaker 1: at all ages there it's beginning to come back to 89 00:04:43,080 --> 00:04:45,280 Speaker 1: drop sharply in two thousands, eight and nine. So I 90 00:04:45,279 --> 00:04:47,240 Speaker 1: think that tells you there's a mix of both going on, 91 00:04:47,920 --> 00:04:50,240 Speaker 1: and and the fact that only recently, in the last 92 00:04:50,279 --> 00:04:53,000 Speaker 1: six months, we're starting to see some real movement in 93 00:04:53,160 --> 00:04:55,720 Speaker 1: people returning. I mean, if you're twenty eight years old, 94 00:04:55,960 --> 00:04:57,719 Speaker 1: you didn't find a way to go to retirement, you 95 00:04:57,800 --> 00:05:00,360 Speaker 1: know that if this person has disappeared, are gonna be 96 00:05:00,400 --> 00:05:02,080 Speaker 1: coming back, And they'll come back when they're finished with 97 00:05:02,080 --> 00:05:04,680 Speaker 1: their schooling or when they see something in the job 98 00:05:04,720 --> 00:05:07,760 Speaker 1: market going on. And and by the way, probably the 99 00:05:07,800 --> 00:05:09,840 Speaker 1: best way to figure out where we are in this 100 00:05:09,880 --> 00:05:13,279 Speaker 1: process is to look at the employment to population ratio 101 00:05:13,360 --> 00:05:18,000 Speaker 1: for five year olds. It's not that five and fifty 102 00:05:18,000 --> 00:05:20,520 Speaker 1: five year olds don't count, but when we turn fifty, 103 00:05:20,600 --> 00:05:23,400 Speaker 1: people start dropping out, they start going to retirement, and 104 00:05:23,480 --> 00:05:26,039 Speaker 1: so to get away from the there is a demographic 105 00:05:26,080 --> 00:05:28,960 Speaker 1: thing going on, is people the retired generation, and people 106 00:05:29,000 --> 00:05:32,200 Speaker 1: start moving towards the retirement, you're getting that employment population 107 00:05:32,400 --> 00:05:35,240 Speaker 1: ratio not coming back as much as we thought in 108 00:05:35,279 --> 00:05:37,200 Speaker 1: the old days. But for people when they're twenty or 109 00:05:37,240 --> 00:05:39,560 Speaker 1: forty five years of age, you got a pretty good 110 00:05:39,600 --> 00:05:44,120 Speaker 1: idea that they one of job, and they will get 111 00:05:44,160 --> 00:05:46,360 Speaker 1: a job when they think when it is available, and 112 00:05:46,400 --> 00:05:49,479 Speaker 1: they'll start looking. So that ratio really tells you where 113 00:05:49,520 --> 00:05:51,960 Speaker 1: we are. And in my mind, we're about two million 114 00:05:52,000 --> 00:05:55,040 Speaker 1: away from where we were back in two thousand and seven. 115 00:05:55,240 --> 00:05:57,520 Speaker 1: So that kind of tells me the job market is 116 00:05:57,560 --> 00:06:00,400 Speaker 1: still kind of in the seventh inning of a full everath. 117 00:06:00,720 --> 00:06:02,719 Speaker 1: Well it made me, But the question is does the 118 00:06:02,720 --> 00:06:06,240 Speaker 1: game get rained out? Um? I personally, I think it's 119 00:06:06,279 --> 00:06:08,720 Speaker 1: gonna be extra innings. That's that's why to me, this 120 00:06:08,800 --> 00:06:11,800 Speaker 1: baseball metaphor is useful because just because you're in the 121 00:06:11,880 --> 00:06:14,960 Speaker 1: ninth thing, he doesn't mean it's over. Um. You, my 122 00:06:15,080 --> 00:06:17,600 Speaker 1: guess is we've got another couple of years to go 123 00:06:17,760 --> 00:06:20,400 Speaker 1: before we get fully recovered. And then my guess is 124 00:06:20,480 --> 00:06:23,280 Speaker 1: we've got another several years at least. So I wouldn't 125 00:06:23,279 --> 00:06:26,600 Speaker 1: be shocked if we've got we're only halfway through this expansion, 126 00:06:26,640 --> 00:06:28,200 Speaker 1: and it's probably gonna be one of our longer ones 127 00:06:28,240 --> 00:06:31,000 Speaker 1: because we don't see the financial balances. We don't see 128 00:06:31,000 --> 00:06:34,320 Speaker 1: the inflation and balances that would make you think that 129 00:06:34,520 --> 00:06:36,760 Speaker 1: you're gonna have to start wondering when is the incoming 130 00:06:36,760 --> 00:06:39,839 Speaker 1: And and frankly, the Fed's position is really a good 131 00:06:39,880 --> 00:06:42,360 Speaker 1: benchmark for how to think about this. When they're when 132 00:06:42,360 --> 00:06:45,320 Speaker 1: they're still flooring the gas pedal, and and the economy 133 00:06:45,400 --> 00:06:48,000 Speaker 1: looks like it's coming back pretty well, that tells you 134 00:06:48,640 --> 00:06:50,840 Speaker 1: we're not really there yet. We've got a long way 135 00:06:50,880 --> 00:06:53,960 Speaker 1: to got lots of good growth, and all these worries 136 00:06:53,960 --> 00:06:56,560 Speaker 1: about recession don't make don't really make sense to me, 137 00:06:56,600 --> 00:06:59,120 Speaker 1: because we've never seen a recession pop up out of 138 00:06:59,120 --> 00:07:01,760 Speaker 1: the blue when you've got center banks all around the 139 00:07:01,760 --> 00:07:05,560 Speaker 1: world gunning it. Yeah, but we've seen a slowing of 140 00:07:05,600 --> 00:07:08,080 Speaker 1: the economy in the first quarter where you I don't know, well, 141 00:07:08,200 --> 00:07:09,960 Speaker 1: I don't know. Let me put let me put this. 142 00:07:10,080 --> 00:07:12,440 Speaker 1: We've seen the slowing in GDP, and GDP is not 143 00:07:12,640 --> 00:07:15,720 Speaker 1: necessarily about the economy. GDP about GDP. GDP is a 144 00:07:15,720 --> 00:07:19,720 Speaker 1: headline that gets reported, but it's very volatile. Profits. Profits 145 00:07:19,760 --> 00:07:22,920 Speaker 1: are down, that's true. Like contracting. I'm in the c 146 00:07:22,960 --> 00:07:25,240 Speaker 1: e O S office and I'm seeing the headline. I'm 147 00:07:25,280 --> 00:07:27,760 Speaker 1: not an economist, I'm not parting it like you are, 148 00:07:28,040 --> 00:07:31,120 Speaker 1: and I'm seeing my profits go down. Why wouldn't I 149 00:07:31,160 --> 00:07:33,720 Speaker 1: take a pause? Why wouldn't I maybe set up a 150 00:07:33,760 --> 00:07:36,480 Speaker 1: situation if everybody does this, that then leads to a 151 00:07:36,520 --> 00:07:39,000 Speaker 1: self fulfilling prophecy of you know, if you're in the 152 00:07:39,040 --> 00:07:41,760 Speaker 1: oil sector, certainly that's going on. But the thing is, 153 00:07:41,840 --> 00:07:43,840 Speaker 1: the things that are causing trouble for people in the 154 00:07:43,840 --> 00:07:46,440 Speaker 1: oil industry are benefits for a lot of other people. 155 00:07:46,800 --> 00:07:48,760 Speaker 1: And that's why, you know, you might ask, why would 156 00:07:48,760 --> 00:07:51,760 Speaker 1: we argue why would we argue against the idea of 157 00:07:51,800 --> 00:07:53,560 Speaker 1: the things are slowing? Well, because the things that are 158 00:07:53,600 --> 00:07:57,440 Speaker 1: slowing are are happening because of something that's going on 159 00:07:57,640 --> 00:08:00,280 Speaker 1: fallowing the energy prices, which is benefiting a lot of people. 160 00:08:00,320 --> 00:08:02,640 Speaker 1: So in theory it ought to be a wash. We 161 00:08:02,640 --> 00:08:04,440 Speaker 1: ought to be seeing as many people, if not more, 162 00:08:04,520 --> 00:08:08,240 Speaker 1: benefiting for every person that's having to cut back. And 163 00:08:08,280 --> 00:08:10,240 Speaker 1: I think you may be right about the CEO. He 164 00:08:10,280 --> 00:08:11,960 Speaker 1: may see that news and he said gee, why don't 165 00:08:11,960 --> 00:08:13,960 Speaker 1: I cut back? That's why I pay attention to what 166 00:08:14,000 --> 00:08:16,480 Speaker 1: he's doing. And what I see what he's doing is 167 00:08:16,520 --> 00:08:19,440 Speaker 1: he's not laying off people and he's hiring. And that's 168 00:08:19,520 --> 00:08:22,160 Speaker 1: to me the best indication of what the CEO really 169 00:08:22,200 --> 00:08:24,520 Speaker 1: is doing. I get the idea that at the margin, 170 00:08:24,600 --> 00:08:27,200 Speaker 1: they're hiring some quality jobs and what all of our 171 00:08:27,240 --> 00:08:32,559 Speaker 1: listeners perceive as quality jobs. The overwhelming message from our 172 00:08:32,600 --> 00:08:35,880 Speaker 1: listeners is the economist like Jim Glassman or nuts and 173 00:08:35,920 --> 00:08:38,400 Speaker 1: you've been very good about this, to be honest, and 174 00:08:38,480 --> 00:08:42,080 Speaker 1: that the quality of the jobs ain't what it used 175 00:08:42,120 --> 00:08:44,560 Speaker 1: to be. Well, that's true, that's true. And you know, 176 00:08:44,600 --> 00:08:46,560 Speaker 1: one one simple way to look at this is just 177 00:08:46,559 --> 00:08:48,880 Speaker 1: to look at what do the job trends look like 178 00:08:49,440 --> 00:08:52,560 Speaker 1: by pay level? And what what you know and what 179 00:08:52,600 --> 00:08:55,600 Speaker 1: you can tell is that people who are earning lower pay, 180 00:08:55,720 --> 00:08:58,680 Speaker 1: there's more and more people in those brackets. There's also 181 00:08:58,760 --> 00:09:01,240 Speaker 1: more and more people in the very top brackets that 182 00:09:01,240 --> 00:09:05,240 Speaker 1: are doing well. It's that middle crowd, the manufacturing jobs 183 00:09:05,280 --> 00:09:07,760 Speaker 1: that have gotten squeezed, and where are those people going. 184 00:09:07,840 --> 00:09:10,880 Speaker 1: Most likely they're taking a job that's lower paced. So 185 00:09:11,160 --> 00:09:14,800 Speaker 1: there's no doubt greater middle pad which is part of 186 00:09:14,840 --> 00:09:18,240 Speaker 1: that Sanders Trump nexus. Yeah, but you know a lot 187 00:09:18,280 --> 00:09:21,360 Speaker 1: of uncertainty is that the nature of the job has changed. Um, 188 00:09:22,080 --> 00:09:25,040 Speaker 1: the the things are changing very rapidly. You have to 189 00:09:25,080 --> 00:09:28,000 Speaker 1: be a bit more shavvy with technology. Um, we have 190 00:09:28,080 --> 00:09:30,839 Speaker 1: more flexibility if you're an uber driver. They love the 191 00:09:30,960 --> 00:09:34,480 Speaker 1: jobs because it gives them flexibility. But the job is 192 00:09:34,520 --> 00:09:38,720 Speaker 1: not as secure, and I think, I think it's not benefited. 193 00:09:38,800 --> 00:09:41,679 Speaker 1: It's not forty two hours a week. You're not doing 194 00:09:41,720 --> 00:09:45,600 Speaker 1: bowling on Thursday nights. That's from another time and place. Yeah, 195 00:09:45,640 --> 00:09:47,760 Speaker 1: that's right, I mean, and and the nature of the 196 00:09:47,880 --> 00:09:50,680 Speaker 1: job is really changed a lot. And if you're an 197 00:09:50,880 --> 00:09:53,080 Speaker 1: er guy, you're doing it fourteen hours a day and 198 00:09:53,120 --> 00:09:55,040 Speaker 1: if you're done, you're not exhausted. You go do a 199 00:09:55,080 --> 00:09:57,800 Speaker 1: second job. Well, most of them do have have other 200 00:09:57,880 --> 00:10:00,439 Speaker 1: jobs and they fill in the extra gap. Um, it's 201 00:10:00,440 --> 00:10:02,560 Speaker 1: to help him make the car payment. But yeah, it's 202 00:10:02,559 --> 00:10:05,800 Speaker 1: a whole different the sharing economy. Really. It's got pluses 203 00:10:05,840 --> 00:10:07,800 Speaker 1: and minuses, but it's a different. I will say this 204 00:10:07,840 --> 00:10:10,840 Speaker 1: to our national audience. I'm as guilty of this. Mike mckie' 205 00:10:10,840 --> 00:10:13,599 Speaker 1: is less guilty of this than me. We are totally 206 00:10:14,120 --> 00:10:17,199 Speaker 1: fixated by living within three zip codes of New York City. 207 00:10:18,080 --> 00:10:20,600 Speaker 1: We don't have a clue, Mike, what's going on out 208 00:10:20,600 --> 00:10:22,959 Speaker 1: there in the rest of the world. And I'm as 209 00:10:22,960 --> 00:10:25,959 Speaker 1: guilty of it and Jim Glass and we have to 210 00:10:26,000 --> 00:10:28,480 Speaker 1: come back, Jim, Jim glassin with us, will come back 211 00:10:28,520 --> 00:10:31,720 Speaker 1: and after this discussion of the quality of jobs, look 212 00:10:31,760 --> 00:10:34,720 Speaker 1: at maybe the quality of the job's report at eight thirty. 213 00:10:34,720 --> 00:10:37,560 Speaker 1: We'll go beneath the headline data here in twenty minutes 214 00:10:37,640 --> 00:10:41,160 Speaker 1: Jim Glass, whom will give us immediate and wonderful perspective, 215 00:10:41,480 --> 00:10:44,800 Speaker 1: and then a conversation with Bill Gross on fed and 216 00:10:44,960 --> 00:10:49,400 Speaker 1: bond market ramifications. Futures right now negative five rates in 217 00:10:52,440 --> 00:10:54,719 Speaker 1: all right, let's check in with Michael Barr and get 218 00:10:54,720 --> 00:10:57,240 Speaker 1: the latest world in national headlines. Mike, Tom, thank you 219 00:10:57,320 --> 00:11:00,680 Speaker 1: very much. The lead superPAC backing Democratic Hill Ree Clinton 220 00:11:00,760 --> 00:11:03,760 Speaker 1: is planning to unleash an ad campaign against Donald Trump. 221 00:11:04,400 --> 00:11:08,560 Speaker 1: Priorities USA has already reserved ninety one million dollars in 222 00:11:08,600 --> 00:11:11,920 Speaker 1: television ads and will start next month and continue through 223 00:11:11,960 --> 00:11:15,920 Speaker 1: election day. For the second straight month, space x has 224 00:11:16,040 --> 00:11:19,880 Speaker 1: landed a rocket on an ocean platform. This morning's successful 225 00:11:19,920 --> 00:11:23,360 Speaker 1: mission had a first stage booster touching down vertically on 226 00:11:23,400 --> 00:11:26,200 Speaker 1: a barge in the Atlantic. The same thing occurred April 227 00:11:26,240 --> 00:11:29,560 Speaker 1: eight during a space station supply run for NASA. The 228 00:11:29,640 --> 00:11:32,880 Speaker 1: Labor Party's City Khan is in the lead for now 229 00:11:33,080 --> 00:11:36,280 Speaker 1: to be the next mayor of London. Almost six of 230 00:11:36,320 --> 00:11:39,400 Speaker 1: the vote so far has been certified. Cohn designed, of course, 231 00:11:39,480 --> 00:11:43,040 Speaker 1: to beat the Conservatives. Zac Goldsmith Global News twenty four 232 00:11:43,080 --> 00:11:46,160 Speaker 1: hours a day, powered by our twenty four hundred journalists 233 00:11:46,160 --> 00:11:48,400 Speaker 1: and more than a hundred fifty news bureaus from around 234 00:11:48,440 --> 00:11:51,800 Speaker 1: the world. On Michael Barr Tom Michael Barr heelds her 235 00:11:51,840 --> 00:11:54,880 Speaker 1: In Today the ten ye yield one point seven thirty 236 00:11:55,040 --> 00:11:58,840 Speaker 1: bond in the two point five nine percent on Job's Day, 237 00:11:58,920 --> 00:12:06,080 Speaker 1: James Glassman Bill Stay with Us. Bloomberg Surveillance. The news 238 00:12:06,120 --> 00:12:08,560 Speaker 1: update brought to you by Mercedes Ben's outstanding offers are 239 00:12:08,559 --> 00:12:10,880 Speaker 1: in full Blue Metro. Mercedes Ben's Try State dealers take 240 00:12:10,880 --> 00:12:13,520 Speaker 1: advantage of limited time lease than finance programs on select 241 00:12:13,520 --> 00:12:16,320 Speaker 1: models this spring season. Visit m b USA dot com 242 00:12:16,360 --> 00:12:23,959 Speaker 1: for details. Today Gloombo Business News twenty four hours a day, 243 00:12:24,160 --> 00:12:27,160 Speaker 1: if Bloomberg dot Com, the Radio plus Mobile Act and 244 00:12:27,280 --> 00:12:31,040 Speaker 1: on your radio. This is a Bloomberg Business Flash Yon, 245 00:12:31,120 --> 00:12:33,440 Speaker 1: Good morning, I'm John Tucker. Let's go over to the 246 00:12:33,440 --> 00:12:37,400 Speaker 1: first word breaking newsdesk for today's morning call, and here's 247 00:12:37,440 --> 00:12:40,640 Speaker 1: Bill maulone a Morningville, Good morning John. Losses in the 248 00:12:40,720 --> 00:12:43,840 Speaker 1: US features and they had two percent declines in Shanghai 249 00:12:43,920 --> 00:12:46,920 Speaker 1: overnight and weakness in Europe. Doubt if you just currently 250 00:12:46,960 --> 00:12:49,199 Speaker 1: lower by twenty seven points has to be dropped four 251 00:12:49,520 --> 00:12:52,760 Speaker 1: and NASAK futures declined by seven US ten yel at 252 00:12:52,760 --> 00:12:56,440 Speaker 1: one point seven four per cent. On the use economic front, 253 00:12:56,440 --> 00:12:59,040 Speaker 1: those job numbers at eight thirty changeing on farm Peril's 254 00:12:59,080 --> 00:13:02,760 Speaker 1: estimate two hunch Housing unemployment rate estimate four point nine 255 00:13:02,800 --> 00:13:06,520 Speaker 1: per cent. After the bellas Night activision boosted year outlook, 256 00:13:06,880 --> 00:13:10,560 Speaker 1: end international cut year views, Wind CEO says Macau and 257 00:13:10,640 --> 00:13:13,760 Speaker 1: Las Vegas had better April results, and herb Life said 258 00:13:13,800 --> 00:13:17,840 Speaker 1: talks with the FTC have progressed to advance stage regard 259 00:13:17,840 --> 00:13:21,360 Speaker 1: the earnings. This morning, cognizancies q GPS below estimates and 260 00:13:21,480 --> 00:13:26,400 Speaker 1: Signa raised EPs views and deal news. Evoni buys performance 261 00:13:26,559 --> 00:13:29,160 Speaker 1: chills unit from air Products for three point eight billion, 262 00:13:29,400 --> 00:13:32,640 Speaker 1: and City Group says Metivation potential take out range sixty 263 00:13:32,720 --> 00:13:35,480 Speaker 1: eight to seventy eight a share. Finally, some of your 264 00:13:35,480 --> 00:13:38,880 Speaker 1: wallsheet upgrades and downgrades over at Goldman Sachs. Advanced Auto 265 00:13:38,880 --> 00:13:43,160 Speaker 1: Parts raised by Michael's, Cutch Neutral, United Rentals and Zoettas 266 00:13:43,360 --> 00:13:46,240 Speaker 1: cut to sell and to international. Cutch under perform at 267 00:13:46,240 --> 00:13:49,480 Speaker 1: Mizoo Ho General Motors raised to equate at Morgan Stanley 268 00:13:49,720 --> 00:13:52,840 Speaker 1: and Weatherford cut to market perform over at Wells Fargo. 269 00:13:53,320 --> 00:13:55,800 Speaker 1: Live from the first Breaking News desk on Bill Maloney, John, 270 00:13:55,840 --> 00:13:58,199 Speaker 1: all right, thanks to Bill and we here live breaking 271 00:13:58,200 --> 00:14:01,720 Speaker 1: news over your Bloomberg type squawk go on your term. Well, 272 00:14:01,800 --> 00:14:06,319 Speaker 1: that is a Bloomberg business flash, Tom, Mike, John Tucker, 273 00:14:06,400 --> 00:14:08,960 Speaker 1: thanks so much. Bloomberg Surveillance is jobs. They brought you 274 00:14:09,000 --> 00:14:13,120 Speaker 1: by invest Goo. Factor based strategies can help investors focus 275 00:14:13,640 --> 00:14:17,040 Speaker 1: on high quality, low volatility and more. Learn more and 276 00:14:17,160 --> 00:14:21,120 Speaker 1: investco dot com slash high conviction. Jim Blastman with us 277 00:14:21,200 --> 00:14:24,440 Speaker 1: is we're eleven minutes away from the job numhere, let 278 00:14:24,440 --> 00:14:26,120 Speaker 1: me go right to wages. I think it's just so 279 00:14:27,240 --> 00:14:32,040 Speaker 1: important here. Do we measure average hourly earnings correctly? Or 280 00:14:32,080 --> 00:14:35,240 Speaker 1: is it a blue collar measurement from another time and place? Well, 281 00:14:35,280 --> 00:14:37,600 Speaker 1: it is the blue collar measurement. But also what's happened 282 00:14:37,680 --> 00:14:39,880 Speaker 1: is more and more pay is coming in the form 283 00:14:40,000 --> 00:14:44,320 Speaker 1: of healthcare, insurance costs and time off and things like that. 284 00:14:44,360 --> 00:14:46,120 Speaker 1: And if you look at if you look at the 285 00:14:46,160 --> 00:14:49,360 Speaker 1: trends and pay more and more pay is coming away 286 00:14:49,400 --> 00:14:53,240 Speaker 1: from wages and the average are learning is just the 287 00:14:53,280 --> 00:14:57,040 Speaker 1: basic wage piece of this. But you know, if you 288 00:14:57,040 --> 00:14:59,400 Speaker 1: look at the cost for companies, what they care about 289 00:14:59,440 --> 00:15:01,960 Speaker 1: is what is the time off costing me? What is 290 00:15:01,960 --> 00:15:04,640 Speaker 1: health insurance costing me? And if it goes up, they 291 00:15:04,680 --> 00:15:07,080 Speaker 1: can't be generous on the ways. Where is it? Where's 292 00:15:07,120 --> 00:15:10,280 Speaker 1: an overheating of average hourly earnings? If we migrate up 293 00:15:10,320 --> 00:15:14,200 Speaker 1: to two point four percent, is getting out over three? 294 00:15:14,600 --> 00:15:17,640 Speaker 1: Should be running more like three or four percent? Yeah, 295 00:15:18,400 --> 00:15:21,080 Speaker 1: it should be. That's that's more normal. If productivity growth 296 00:15:21,160 --> 00:15:23,760 Speaker 1: is back to trend, that well, okay, that you just 297 00:15:23,920 --> 00:15:25,720 Speaker 1: you just sort of stepped on the question I was 298 00:15:25,720 --> 00:15:28,480 Speaker 1: gonna ask. There's a theory out there that with productivity 299 00:15:28,640 --> 00:15:32,960 Speaker 1: so low and profits falling, companies are less inclined to 300 00:15:33,000 --> 00:15:34,720 Speaker 1: pay more. They have to pay a little bit more 301 00:15:35,080 --> 00:15:37,440 Speaker 1: as the labor market titans, but they don't have to 302 00:15:37,480 --> 00:15:40,120 Speaker 1: pay the way they used to, or they aren't going 303 00:15:40,160 --> 00:15:42,440 Speaker 1: to pay the way they used to, so the FED 304 00:15:43,360 --> 00:15:46,160 Speaker 1: maybe looking for too much out of average hourly earnings. 305 00:15:46,320 --> 00:15:48,760 Speaker 1: They will companies will be doing whatever it takes to 306 00:15:48,800 --> 00:15:52,040 Speaker 1: manage costs. But the problem is, if they're hiring now, 307 00:15:52,160 --> 00:15:54,320 Speaker 1: it's because they anticipate things are going to be doing 308 00:15:54,360 --> 00:15:56,880 Speaker 1: better and they have staffing needs. You can't produce the 309 00:15:56,880 --> 00:15:59,040 Speaker 1: work until you have the people. So I don't believe 310 00:15:59,040 --> 00:16:01,680 Speaker 1: the productivity numbers myself. I think that we're in the 311 00:16:01,760 --> 00:16:04,040 Speaker 1: in the middle of a period. There's lots of things 312 00:16:04,040 --> 00:16:06,960 Speaker 1: going on here that are distorting the productivity numbers, and 313 00:16:07,000 --> 00:16:10,120 Speaker 1: I think at the end of the day, we're people 314 00:16:10,160 --> 00:16:12,640 Speaker 1: are gonna companies are gonna pay people what they're generating. 315 00:16:12,960 --> 00:16:14,760 Speaker 1: Like the chart that I've been using, it maybe my 316 00:16:14,920 --> 00:16:18,560 Speaker 1: chart of the year, the presidential moving average of productivity. 317 00:16:18,600 --> 00:16:20,840 Speaker 1: What we can say is what where we are right 318 00:16:20,880 --> 00:16:23,920 Speaker 1: now is very unusual. There's only one point in the 319 00:16:23,920 --> 00:16:28,040 Speaker 1: early nineties where we got here. Yeah, and that raises 320 00:16:28,120 --> 00:16:30,280 Speaker 1: lots of questions about measurement of GDP. For one thing, 321 00:16:30,320 --> 00:16:32,120 Speaker 1: A lot of people are starting to question that. If 322 00:16:32,120 --> 00:16:34,240 Speaker 1: you think about it, there's been a lot of changes 323 00:16:34,240 --> 00:16:35,880 Speaker 1: going on in the last couple of years that we 324 00:16:35,960 --> 00:16:38,520 Speaker 1: think are not getting picked up in GDP. We're living 325 00:16:38,520 --> 00:16:41,240 Speaker 1: in a time when firms are hiring aggressively because they 326 00:16:41,280 --> 00:16:43,440 Speaker 1: need to get ahead of their staffing needs. You tend 327 00:16:43,480 --> 00:16:46,160 Speaker 1: to see productivity really weak when that happens. So I 328 00:16:46,160 --> 00:16:48,120 Speaker 1: think the jury is out. I mean, productivity is something 329 00:16:48,160 --> 00:16:51,280 Speaker 1: you learn over a course of a decade. What about 330 00:16:51,880 --> 00:16:55,280 Speaker 1: it folds into it? Uh. The one other major indicator 331 00:16:55,320 --> 00:16:57,960 Speaker 1: that we report as part of the doves numbers, and 332 00:16:58,000 --> 00:17:02,720 Speaker 1: that's the uh average weekly hours um at this point 333 00:17:02,840 --> 00:17:04,439 Speaker 1: expected to go up. I had somebody come up to 334 00:17:04,440 --> 00:17:06,840 Speaker 1: me today and say, hey, I never thought about that. 335 00:17:06,880 --> 00:17:09,160 Speaker 1: If if, if hours go up, that means people are 336 00:17:09,160 --> 00:17:12,080 Speaker 1: making more money. And uh, yeah, And you know, there's 337 00:17:12,080 --> 00:17:14,040 Speaker 1: a lot of people who work in part time involuntarily. 338 00:17:14,400 --> 00:17:17,080 Speaker 1: So when they're when they're put back on full schedules, 339 00:17:17,119 --> 00:17:19,360 Speaker 1: they're hours go up, but they're already counted as employment, 340 00:17:19,440 --> 00:17:21,560 Speaker 1: so they don't show up in the payball numbers, but 341 00:17:21,600 --> 00:17:24,280 Speaker 1: they do boost the hours. Are they shifting from part 342 00:17:24,400 --> 00:17:27,680 Speaker 1: time to full time? It looks like that's that's improving 343 00:17:28,000 --> 00:17:31,080 Speaker 1: steadily since since the worst we had about nine million 344 00:17:31,119 --> 00:17:34,080 Speaker 1: people put on part time involuntarily back in the recession. 345 00:17:34,080 --> 00:17:36,439 Speaker 1: It's come down to about six millions, So it's on 346 00:17:36,520 --> 00:17:39,240 Speaker 1: the right trajectory, but there's still ways to go. Where 347 00:17:39,240 --> 00:17:43,520 Speaker 1: should it be more like four million people roughly? Which 348 00:17:43,520 --> 00:17:47,919 Speaker 1: is the word likes that's hitting up. That's underemployment that 349 00:17:48,000 --> 00:17:51,000 Speaker 1: is not reflected in the official unemployment because if I'm 350 00:17:51,040 --> 00:17:53,520 Speaker 1: part time, I'm counted as employeed. That's the problem. I'm 351 00:17:53,520 --> 00:17:59,560 Speaker 1: part time, so that one So um, there are people 352 00:17:59,680 --> 00:18:02,320 Speaker 1: I'll there. We will not name names who think the 353 00:18:02,359 --> 00:18:05,720 Speaker 1: unemployment rate is a sham and that there is much 354 00:18:05,800 --> 00:18:10,400 Speaker 1: higher than it actually is. Uh, do we measure employment correctly? 355 00:18:11,480 --> 00:18:14,439 Speaker 1: It would measure it is useful, measure right for what 356 00:18:14,520 --> 00:18:16,040 Speaker 1: it what it is. But just keep in mind that 357 00:18:16,119 --> 00:18:18,280 Speaker 1: all these changes are going on the job market, with 358 00:18:18,600 --> 00:18:21,240 Speaker 1: people pulling out when there aren't opportunities and coming back in. 359 00:18:21,560 --> 00:18:24,199 Speaker 1: It distorts the picture a little. So I focus a 360 00:18:24,240 --> 00:18:28,080 Speaker 1: lot on the unemployment that's not measured, which is the 361 00:18:28,119 --> 00:18:31,240 Speaker 1: part timers and the young people who dropped out and 362 00:18:31,280 --> 00:18:33,399 Speaker 1: they don't show up anywhere, and if you if you 363 00:18:33,440 --> 00:18:36,320 Speaker 1: bring them into the picture unemployment, it's more like seven 364 00:18:36,320 --> 00:18:38,320 Speaker 1: percent or so. The way if on an apples to 365 00:18:38,359 --> 00:18:41,360 Speaker 1: apples basis with how we normally think of it um. 366 00:18:41,440 --> 00:18:45,280 Speaker 1: All the other metrics are. They're useful, but but they're 367 00:18:45,280 --> 00:18:47,280 Speaker 1: all going in the same direction. They're all coming down. 368 00:18:47,800 --> 00:18:50,320 Speaker 1: But what you you gotta be careful when you take 369 00:18:50,400 --> 00:18:53,080 Speaker 1: when you look at unemployments, because you can't take them 370 00:18:53,080 --> 00:18:55,639 Speaker 1: at face value because there's been a lot of changes 371 00:18:55,680 --> 00:18:58,480 Speaker 1: and there's a lot of unemployment that's kind of masked. 372 00:18:58,600 --> 00:19:00,960 Speaker 1: We don't see it because has it disappeared from the 373 00:19:01,320 --> 00:19:04,280 Speaker 1: from the job. From the view of the BLS, this 374 00:19:04,359 --> 00:19:06,480 Speaker 1: is a tree. We go from Bouder and Krueger to 375 00:19:06,640 --> 00:19:09,879 Speaker 1: James Glassman of JP Morgan, and then we will go 376 00:19:09,960 --> 00:19:13,920 Speaker 1: onto Mr gross after Glassman gives us his important instant 377 00:19:14,000 --> 00:19:16,280 Speaker 1: analysis of what we see. How do we do that? 378 00:19:16,320 --> 00:19:19,120 Speaker 1: We do that off the Bloomberg. Let's be blunt, Mike, 379 00:19:19,240 --> 00:19:21,919 Speaker 1: we don't do this. A team of people do this 380 00:19:22,000 --> 00:19:26,399 Speaker 1: with their headline team Alec Tansy and our statistics team 381 00:19:26,520 --> 00:19:30,000 Speaker 1: help out. It's literally twenty five people that help us 382 00:19:30,600 --> 00:19:34,159 Speaker 1: at eight thirty bring this to you. And then we 383 00:19:34,160 --> 00:19:37,199 Speaker 1: get down to the lowly ability for me, Mike to 384 00:19:37,320 --> 00:19:40,360 Speaker 1: hit the print button correctly on the keyboard to give 385 00:19:40,440 --> 00:19:44,840 Speaker 1: Jim Glassman the eight pages from the Bureau of Labor statistics. 386 00:19:44,880 --> 00:19:49,320 Speaker 1: That's how we know that productivity has there. It is. 387 00:19:49,480 --> 00:19:52,639 Speaker 1: It is job today. Jim Glassman and Bill Gross with 388 00:19:52,880 --> 00:19:56,199 Speaker 1: us what you need to know. Yields are in this morning, 389 00:19:56,680 --> 00:20:01,640 Speaker 1: the two year yield point seven three zero zero John's Day. 390 00:20:01,760 --> 00:20:08,000 Speaker 1: Bloomberg surveillance coming up with all due respect, highlight brought 391 00:20:08,040 --> 00:20:09,520 Speaker 1: to you by the Landrover. If it's in your nature 392 00:20:09,560 --> 00:20:11,199 Speaker 1: to cast off the every day and seek adventure, the 393 00:20:11,240 --> 00:20:13,639 Speaker 1: Discovery Sport was built to help your search. Visit landrover 394 00:20:13,680 --> 00:20:16,200 Speaker 1: trice state dot com or call one find f w 395 00:20:16,320 --> 00:20:17,359 Speaker 1: D for details. Landrover