1 00:00:00,520 --> 00:00:07,480 Speaker 1: Broadcasting live to New York, Bloomberg eleventh, Rio to Washington, 2 00:00:07,560 --> 00:00:11,639 Speaker 1: d C, Bloomberg one to Boston, Bloomberg twelve one to 3 00:00:11,760 --> 00:00:15,840 Speaker 1: San Francisco, Bloomberg nine sixty to the Country Series Exam 4 00:00:15,920 --> 00:00:19,560 Speaker 1: General one ninety and around the glow the Bloomberg Radio Open, 5 00:00:19,680 --> 00:00:24,760 Speaker 1: SAP and Boomberg dot Com. This is Bloomberg Surveillance. Good morning. 6 00:00:24,760 --> 00:00:27,480 Speaker 1: I'm Karen Moscow along with Tom Keene and Michael McKee, 7 00:00:27,480 --> 00:00:29,560 Speaker 1: and the opening Vale is brought to you by s 8 00:00:29,560 --> 00:00:32,680 Speaker 1: C I Imagine, a global operating platform designed to deliver 9 00:00:32,760 --> 00:00:36,960 Speaker 1: a differentiated and technologically rich investor experience. Find out how 10 00:00:37,040 --> 00:00:40,160 Speaker 1: se I can help you succeed at sci C dot com. 11 00:00:40,200 --> 00:00:43,480 Speaker 1: Slash Imagine. Songs are higher at the open. The SNP 12 00:00:43,640 --> 00:00:45,920 Speaker 1: five hundred up six tenths per cent or twelve points 13 00:00:45,960 --> 00:00:49,680 Speaker 1: to two thousand two. The Dow Jones Industrial average is 14 00:00:49,800 --> 00:00:53,240 Speaker 1: up half a percent or seven seventy nine points to 15 00:00:53,320 --> 00:00:56,440 Speaker 1: seventeen thousand, seventy four. Then as to accept one percent 16 00:00:56,560 --> 00:00:59,640 Speaker 1: or forty eight points to forty seven ten tenure Treasury 17 00:00:59,680 --> 00:01:01,960 Speaker 1: little change yield at one point nine three percent yield 18 00:01:02,000 --> 00:01:04,760 Speaker 1: at the two year point nine four percent ninemex screwed 19 00:01:04,760 --> 00:01:07,000 Speaker 1: oil of two point three percent or eighty six cents 20 00:01:07,040 --> 00:01:09,520 Speaker 1: to thirty eight seventy of Barrel Comic School there is 21 00:01:09,520 --> 00:01:11,839 Speaker 1: down four tenths per cent or five dollar seventy cents 22 00:01:11,880 --> 00:01:15,800 Speaker 1: to twelve sixty the euro at allar eleven nineteen and 23 00:01:15,840 --> 00:01:18,520 Speaker 1: the yen one thirteen point six four. Tom and Mike 24 00:01:19,280 --> 00:01:21,320 Speaker 1: Caramesco thank you very much. Well, those of you who 25 00:01:21,520 --> 00:01:23,680 Speaker 1: listen to this program regular leak and you know who 26 00:01:23,680 --> 00:01:26,600 Speaker 1: you are. Uh No that we have spent a lot 27 00:01:26,600 --> 00:01:30,320 Speaker 1: of time talking about productivity and why it is so 28 00:01:30,440 --> 00:01:33,920 Speaker 1: low and what the consequences for the economy and for 29 00:01:34,560 --> 00:01:38,800 Speaker 1: standards of living are. One of the questions that continually 30 00:01:38,880 --> 00:01:42,920 Speaker 1: comes up is are we mismeasuring productivity because we're in 31 00:01:42,959 --> 00:01:49,520 Speaker 1: an age of rapidly changing technology. Chad Severson is a 32 00:01:49,560 --> 00:01:53,840 Speaker 1: professor at the University of Chicago's Booth School of Business, 33 00:01:54,200 --> 00:01:56,160 Speaker 1: and he's done an unusual thing. He's looked at the 34 00:01:56,240 --> 00:02:00,720 Speaker 1: data and you find owns Chicago and do that in 35 00:02:00,800 --> 00:02:03,800 Speaker 1: a new in a new paper. The data do not 36 00:02:03,960 --> 00:02:09,440 Speaker 1: support the idea that we are mismeasuring productivity. Yes, that 37 00:02:09,680 --> 00:02:13,959 Speaker 1: seems to be the case in several different directions. Well, 38 00:02:13,960 --> 00:02:17,760 Speaker 1: tell us about what you find. So I looked at 39 00:02:17,760 --> 00:02:23,959 Speaker 1: a few things. Um first is what you see across 40 00:02:24,240 --> 00:02:27,760 Speaker 1: several a couple dozen countries is the pattern is the same. 41 00:02:27,800 --> 00:02:31,160 Speaker 1: So there was a productivity slow down that happened right 42 00:02:31,200 --> 00:02:36,840 Speaker 1: around two thousand four, and uh, there is no relationship 43 00:02:36,960 --> 00:02:40,360 Speaker 1: between the size of the productivity slow down in a 44 00:02:40,440 --> 00:02:44,400 Speaker 1: country and how I T intensive. That country's economy is 45 00:02:44,919 --> 00:02:48,160 Speaker 1: weather measured on the production side, which is, you know 46 00:02:48,320 --> 00:02:51,320 Speaker 1: what fraction of the economy is accounted for by production 47 00:02:51,360 --> 00:02:54,519 Speaker 1: of I T related goods or on the consumption side, 48 00:02:54,520 --> 00:02:58,400 Speaker 1: so it measured by for example, broadband penetration. You you 49 00:02:58,480 --> 00:03:02,520 Speaker 1: just don't see a relationship between technology and the size 50 00:03:02,520 --> 00:03:05,280 Speaker 1: of the productivity slowdown, which is exactly what you would 51 00:03:05,280 --> 00:03:10,920 Speaker 1: expect if if mismeasurement is causing the the productivity slowed, 52 00:03:10,919 --> 00:03:14,760 Speaker 1: the measured productivity slowdown in that case, And then you 53 00:03:14,800 --> 00:03:17,239 Speaker 1: can look at things a couple other ways too. If 54 00:03:17,280 --> 00:03:21,880 Speaker 1: you people have tried to go measure UH in different settings, 55 00:03:22,000 --> 00:03:26,680 Speaker 1: you know how much uh, the how much people view 56 00:03:27,040 --> 00:03:34,800 Speaker 1: the benefits from from information technologies, things like basically trying 57 00:03:34,800 --> 00:03:37,400 Speaker 1: to value what Facebook and Google and all that are 58 00:03:37,400 --> 00:03:40,120 Speaker 1: worth to people. And even if you take the high 59 00:03:40,240 --> 00:03:44,000 Speaker 1: end of those numbers, you can't explain anywhere near the 60 00:03:44,040 --> 00:03:47,240 Speaker 1: amount output that's been lost by the productivity slow. Mean, 61 00:03:47,560 --> 00:03:50,040 Speaker 1: that's that's a useful thing to remember here. What we're 62 00:03:50,040 --> 00:03:54,200 Speaker 1: trying to explain is about three trillion dollars a year 63 00:03:54,960 --> 00:03:57,960 Speaker 1: of missing output. So if you're gonna say, look, we're 64 00:03:58,000 --> 00:04:02,040 Speaker 1: just productivity slowed down only because we're mismeasuring it, that's 65 00:04:02,120 --> 00:04:04,760 Speaker 1: kind of the target you should have in mind. You 66 00:04:04,760 --> 00:04:07,120 Speaker 1: you your work is first of all, we're thrilled to 67 00:04:07,160 --> 00:04:09,720 Speaker 1: have you on and and the the again looking at 68 00:04:09,760 --> 00:04:12,400 Speaker 1: the data is to be kind of helpful. What's so 69 00:04:12,480 --> 00:04:15,640 Speaker 1: powerful about your work? Professor? As you go back, I mean, 70 00:04:15,720 --> 00:04:20,520 Speaker 1: Krasner was Chicago in seven when John Kendrick did his 71 00:04:20,560 --> 00:04:23,839 Speaker 1: study on electrification, and the bottom line is it's just 72 00:04:23,960 --> 00:04:28,400 Speaker 1: history repeating itself, right, that's right. So if you look 73 00:04:28,480 --> 00:04:33,080 Speaker 1: at what happened during the electrification the portable power, you 74 00:04:33,120 --> 00:04:37,440 Speaker 1: see a strikingly similar pattern and productivity growth. There was 75 00:04:37,480 --> 00:04:41,200 Speaker 1: a slow period of about a quarter century. People were saying, well, 76 00:04:41,240 --> 00:04:44,800 Speaker 1: we have these great new technologies. Whereas the productivity then 77 00:04:44,800 --> 00:04:47,080 Speaker 1: it's sped up, and that slowed down again. Now we're 78 00:04:47,120 --> 00:04:49,800 Speaker 1: waiting for that next speed up that has not happened yet. 79 00:04:50,600 --> 00:04:53,000 Speaker 1: We're in that's we're in the bebending slowdown since two 80 00:04:53,000 --> 00:04:55,560 Speaker 1: thousand and four. This is similar to what happened with 81 00:04:55,600 --> 00:04:59,279 Speaker 1: the adoption of electricity. But eventually we saw electricity really 82 00:04:59,360 --> 00:05:04,120 Speaker 1: contribute to productivity games. That's true, there was a second 83 00:05:04,120 --> 00:05:09,040 Speaker 1: wave of productivity growth with electrification. Uh. We're waiting for 84 00:05:09,040 --> 00:05:12,000 Speaker 1: that with with I T and the technologies we have 85 00:05:12,080 --> 00:05:15,400 Speaker 1: to day. But as hopeful as some folks are that 86 00:05:15,720 --> 00:05:19,000 Speaker 1: it's happened and we're just not measuring it again, like 87 00:05:19,120 --> 00:05:21,279 Speaker 1: I said, it's just when you take a closer look 88 00:05:21,279 --> 00:05:23,160 Speaker 1: of the data does not seem to be there yet. 89 00:05:23,200 --> 00:05:25,320 Speaker 1: We've had a lot of discussions on this. Of course, 90 00:05:25,360 --> 00:05:28,039 Speaker 1: it is the national question and professor, if you're just 91 00:05:28,120 --> 00:05:30,840 Speaker 1: joining us, Uh, folks, this is an important discussion on 92 00:05:30,920 --> 00:05:35,400 Speaker 1: productivity with all with Mario drog yesterday. Chad Sibson, a 93 00:05:35,800 --> 00:05:41,320 Speaker 1: Chicago booths with important research um capital dynamics, labor dynamics. 94 00:05:41,320 --> 00:05:46,360 Speaker 1: Dominique Constant at Deutsche Bank is adamant. The investment is 95 00:05:46,400 --> 00:05:50,400 Speaker 1: actually pretty good. It's just there's a wall labor coming 96 00:05:50,400 --> 00:05:54,200 Speaker 1: in creating a lot of inefficiencies. Give us the dynamic 97 00:05:54,320 --> 00:05:57,600 Speaker 1: right now, away from the I T analysis of what 98 00:05:57,720 --> 00:06:01,480 Speaker 1: capital and what labor are doing, well, it's certainly true 99 00:06:01,839 --> 00:06:05,440 Speaker 1: that you know, if you invest more and for a 100 00:06:05,480 --> 00:06:09,560 Speaker 1: given sized labor force, you should expect labor productivity to 101 00:06:09,640 --> 00:06:14,120 Speaker 1: go up. And by a lot of metrics, Uh, capital 102 00:06:14,160 --> 00:06:17,279 Speaker 1: investment seems to have been lagging for several years. We 103 00:06:17,320 --> 00:06:23,279 Speaker 1: seem to be behind on on housing investment for perhaps 104 00:06:23,320 --> 00:06:28,040 Speaker 1: obvious reasons. On public investment, there's just been maybe a 105 00:06:28,160 --> 00:06:30,840 Speaker 1: lack of putting capital into place. Now we've got new 106 00:06:30,880 --> 00:06:34,480 Speaker 1: workers coming into the economy or back into the labor force, 107 00:06:34,560 --> 00:06:37,600 Speaker 1: all those things are going to tend to lean against 108 00:06:37,600 --> 00:06:41,560 Speaker 1: productivity in the short run at least. But then again, 109 00:06:41,600 --> 00:06:45,400 Speaker 1: you know this slowdown started even before the crisis, So 110 00:06:45,480 --> 00:06:48,039 Speaker 1: we're talking about not just short run trends. We're talking 111 00:06:48,040 --> 00:06:50,400 Speaker 1: about longer run trends here that are operating at the 112 00:06:50,440 --> 00:06:56,880 Speaker 1: same time. I look at productivity then, and you know, 113 00:06:57,120 --> 00:06:59,480 Speaker 1: in every textbook, and this is through Chicago or any 114 00:06:59,520 --> 00:07:03,360 Speaker 1: other school, there's this thing called total total factor productivity. 115 00:07:03,400 --> 00:07:06,600 Speaker 1: It's basically, folks, the noise off the right hand side 116 00:07:06,600 --> 00:07:09,520 Speaker 1: of the equation. How how are we doing with our 117 00:07:09,560 --> 00:07:12,720 Speaker 1: technological progress? How do you fold that in to this 118 00:07:12,840 --> 00:07:17,160 Speaker 1: equal comparison of electrification, and I t yeah, that's a 119 00:07:17,200 --> 00:07:21,200 Speaker 1: great question. So basically, labor productivity comes from two things. 120 00:07:21,280 --> 00:07:23,800 Speaker 1: One is capital investment, which we just talked about in 121 00:07:23,840 --> 00:07:27,280 Speaker 1: The second thing is total factor productivity. Both of those 122 00:07:27,320 --> 00:07:30,760 Speaker 1: have been slow during this labor productivity slowdown. So we 123 00:07:30,760 --> 00:07:34,520 Speaker 1: were just mentioning that capital investment spent on the slow side. 124 00:07:35,000 --> 00:07:38,400 Speaker 1: But it's not just that total factor productivity, which is 125 00:07:38,480 --> 00:07:41,320 Speaker 1: kind of you know, for people to imagine what's going on. 126 00:07:41,440 --> 00:07:45,400 Speaker 1: It's it's technological progress, for lack of a better term, 127 00:07:45,480 --> 00:07:47,240 Speaker 1: you know, the more output you're going to get from 128 00:07:47,280 --> 00:07:50,720 Speaker 1: the same amount of inputs. That is also slowed with 129 00:07:50,840 --> 00:07:54,119 Speaker 1: similar timing to the labor productivity slowdown. So it seems 130 00:07:54,160 --> 00:07:57,920 Speaker 1: that both of these things seem to be driving the slowdown. 131 00:07:59,200 --> 00:08:03,120 Speaker 1: It was the antion of total factor productivity in the 132 00:08:03,200 --> 00:08:06,120 Speaker 1: in the late nineties that got it's the last productivity 133 00:08:06,160 --> 00:08:11,000 Speaker 1: boost from thousand and four. The same thing happened with electrification. 134 00:08:11,080 --> 00:08:13,640 Speaker 1: A lot of that was total factor productivity as well. 135 00:08:14,640 --> 00:08:16,920 Speaker 1: Chad Saverson has been us from the Chicago Boost. Look 136 00:08:16,920 --> 00:08:21,280 Speaker 1: at continue our conversation productivity and uh, whether or not 137 00:08:21,680 --> 00:08:24,680 Speaker 1: our bosses are really measuring what Tom and I do effectively? Well, 138 00:08:24,880 --> 00:08:27,040 Speaker 1: we know we're non productive. I mean, Michael Barr is 139 00:08:27,080 --> 00:08:31,640 Speaker 1: the only reason productivity advances at Bloomberg's surveillance. I'm going 140 00:08:31,720 --> 00:08:34,360 Speaker 1: to keep the illusion going, keep illusions very good. That's 141 00:08:34,440 --> 00:08:37,160 Speaker 1: very British of you, Michael Barr with the money illusion. 142 00:08:37,280 --> 00:08:42,160 Speaker 1: Segue segui there into product activity. Seriously, folks, productivity, what 143 00:08:42,600 --> 00:08:45,520 Speaker 1: they heat, whether we heard it from Chairman Greenspan or 144 00:08:45,640 --> 00:08:51,520 Speaker 1: Chad's iverson, they heat of mystery. An analysis right now 145 00:08:51,600 --> 00:08:55,320 Speaker 1: on this strange economic soup is like I've never seen that. 146 00:08:55,360 --> 00:08:59,160 Speaker 1: The mystery of where are we with the nation's efficiency 147 00:08:59,400 --> 00:09:02,280 Speaker 1: is really Rutton Center. The Dow likes to be efficient 148 00:09:02,360 --> 00:09:05,040 Speaker 1: right now. Up a hundred and sixty points seventeen thousand, 149 00:09:05,120 --> 00:09:07,280 Speaker 1: one hundred and fifty three on the Dow. The vix 150 00:09:07,360 --> 00:09:11,600 Speaker 1: in a full stick seventeen point zero nine. Good news 151 00:09:11,760 --> 00:09:18,600 Speaker 1: risk on for the markets. Now, let's check in with 152 00:09:18,679 --> 00:09:21,720 Speaker 1: Michael Barr. Got the latest world initial hidlers, Mike Tom, 153 00:09:21,760 --> 00:09:24,160 Speaker 1: thank you very much. Ben Carson made it official. The 154 00:09:24,200 --> 00:09:27,960 Speaker 1: former Republican presidential candidate announced his support this morning for 155 00:09:28,120 --> 00:09:31,640 Speaker 1: Donald Trump. They're two different Donald Trumps. There's the one 156 00:09:31,720 --> 00:09:35,280 Speaker 1: you see on the stage, and there's the one who's 157 00:09:35,480 --> 00:09:41,800 Speaker 1: very cerebral, sits there and considers things very carefully. Carson 158 00:09:41,840 --> 00:09:45,200 Speaker 1: says he has buried the hatchet with Trump. Funeral services 159 00:09:45,200 --> 00:09:48,360 Speaker 1: will begin later today for former First Lady Nancy Reagan. 160 00:09:48,760 --> 00:09:51,120 Speaker 1: Four of the five living First Ladies will attend the 161 00:09:51,120 --> 00:09:54,720 Speaker 1: funeral at the Reagan Presidential Library and Seni Valley, California. 162 00:09:55,040 --> 00:09:59,360 Speaker 1: About a thousand guests seven invited, including former President George W. Bush. 163 00:10:00,040 --> 00:10:02,520 Speaker 1: It would be the first New Jersey transit strike in 164 00:10:02,559 --> 00:10:05,600 Speaker 1: three decades if they do not come to an agreement soon. 165 00:10:06,160 --> 00:10:09,160 Speaker 1: Union workers were one of the busiest commuter railroads have 166 00:10:09,320 --> 00:10:12,960 Speaker 1: set an early Sunday deadline a strike with strand tens 167 00:10:12,960 --> 00:10:16,000 Speaker 1: of thousands of commuters in and out of Manhattan, New York, 168 00:10:16,520 --> 00:10:19,960 Speaker 1: and some traffic experts say a work stoppage could cause 169 00:10:20,160 --> 00:10:24,600 Speaker 1: twenty mile backups at the Lincoln and Holland Tunnels. Global 170 00:10:24,640 --> 00:10:28,079 Speaker 1: News twenty four hours a day, powered by hours journalists 171 00:10:28,400 --> 00:10:30,600 Speaker 1: more than a hundred fifty news bureaus from around the world. 172 00:10:30,640 --> 00:10:32,640 Speaker 1: I'm like, Michael Bye, that's so important. We gotta sum 173 00:10:32,760 --> 00:10:35,520 Speaker 1: that up. Likelihood Monday morning, Oh, it's gonna be mad 174 00:10:35,600 --> 00:10:38,280 Speaker 1: because the New Jersey transit officials is saying they can 175 00:10:38,360 --> 00:10:41,600 Speaker 1: only get four out of ten transit people who take 176 00:10:42,120 --> 00:10:44,360 Speaker 1: the railroariors to get in and out on the bus. 177 00:10:44,480 --> 00:10:47,960 Speaker 1: I've cut to the chase. Starting Sunday, Bloomberg Radio for 178 00:10:48,000 --> 00:10:50,160 Speaker 1: all of you in Bloomberg eleven THREEO, New York and 179 00:10:50,480 --> 00:10:52,199 Speaker 1: for that matter, around the nation that would like to 180 00:10:52,240 --> 00:10:56,120 Speaker 1: follow us an important UH moment for New Jersey. Look 181 00:10:56,160 --> 00:11:01,920 Speaker 1: for that Monday morning Bloomberg Surveillance Bloomberg surnounced brought to 182 00:11:01,960 --> 00:11:04,800 Speaker 1: by Landrover Adventures yours for the taking. Visit Landrover triestate 183 00:11:04,840 --> 00:11:07,600 Speaker 1: dot com for special lease and financing offers. Landroverer above 184 00:11:07,640 --> 00:11:08,080 Speaker 1: and beyond