1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane, along 2 00:00:09,240 --> 00:00:13,200 Speaker 1: with Jonathan Ferrell and Lisa Brownwitz Jailey. We bring you 3 00:00:13,320 --> 00:00:18,600 Speaker 1: insight from the best and economics, finance, investment, and international relations. 4 00:00:18,960 --> 00:00:23,840 Speaker 1: Find Bloomberg Surveillance on Apple Podcast, Suncloud, Bloomberg dot Com, 5 00:00:23,920 --> 00:00:29,640 Speaker 1: and of course, on the Bloomberg Terminal. Let's get to 6 00:00:29,760 --> 00:00:32,199 Speaker 1: at our conversation of the day on market economics the 7 00:00:32,280 --> 00:00:34,920 Speaker 1: state of the American economy. Gun Hatzius joins us. He 8 00:00:35,080 --> 00:00:37,879 Speaker 1: is with Golden Sex. Yeah, I got eight ways to go, 9 00:00:38,000 --> 00:00:40,159 Speaker 1: but I want to fold it into a slowdown in 10 00:00:40,200 --> 00:00:43,559 Speaker 1: the fiscal umph to America. Did you adjust your g 11 00:00:43,680 --> 00:00:47,800 Speaker 1: d P down because the fiscal party is over, The 12 00:00:47,840 --> 00:00:53,000 Speaker 1: fiscal punch bowl is being taken away. That's certainly the 13 00:00:53,080 --> 00:00:55,640 Speaker 1: reason why we think the economy is going to slow 14 00:00:55,720 --> 00:00:58,760 Speaker 1: quite a bit in two thousand and twenty two. We 15 00:00:58,840 --> 00:01:02,480 Speaker 1: have it going to just under two percent by the 16 00:01:02,560 --> 00:01:05,400 Speaker 1: fourth quarter of next year. In the near term, I 17 00:01:05,440 --> 00:01:08,880 Speaker 1: think there are still some reasons to expect stronger growth. 18 00:01:09,200 --> 00:01:11,000 Speaker 1: The trend is down, but I don't think it's going 19 00:01:11,040 --> 00:01:14,320 Speaker 1: to be a straight great line. Will still get some 20 00:01:14,440 --> 00:01:18,759 Speaker 1: boost from the receding delta. Wave, consumers have a lot 21 00:01:18,760 --> 00:01:21,680 Speaker 1: of pent up savings, and I think the inventory cycle 22 00:01:22,520 --> 00:01:25,200 Speaker 1: is also going to boost growth. But these are all 23 00:01:25,240 --> 00:01:29,560 Speaker 1: relatively short term, right and going forward, you know, further on, 24 00:01:29,640 --> 00:01:31,840 Speaker 1: I do think growth is going to be significantly saw. 25 00:01:32,400 --> 00:01:35,880 Speaker 1: Whatever the flavor of inflation here, what does it do 26 00:01:36,280 --> 00:01:42,039 Speaker 1: to the wage in the inflation adjusted wage I think 27 00:01:42,240 --> 00:01:45,960 Speaker 1: that really depends on whether you look at the top 28 00:01:46,120 --> 00:01:50,320 Speaker 1: end of the of the wage distribution or the bottom end. 29 00:01:50,400 --> 00:01:54,000 Speaker 1: I think at the bottom end, we've seen a sharp 30 00:01:54,040 --> 00:01:57,560 Speaker 1: acceleration in wage growth we think to about six percent 31 00:01:57,680 --> 00:02:02,520 Speaker 1: if we just for all the changes in composition, and 32 00:02:02,880 --> 00:02:06,600 Speaker 1: that's obviously, you know, the strongest we've had in many years. 33 00:02:07,000 --> 00:02:11,440 Speaker 1: I do think that the expanded unemployment benefits were a 34 00:02:11,480 --> 00:02:13,919 Speaker 1: big driver of that, and now that those have ended, 35 00:02:14,360 --> 00:02:17,680 Speaker 1: I think we'll see a deceleration there. But in the 36 00:02:17,720 --> 00:02:20,520 Speaker 1: middle and upper end of the income distribution will probably 37 00:02:20,560 --> 00:02:24,880 Speaker 1: see continued gradual wage acceleration as the labor market titans 38 00:02:24,919 --> 00:02:27,800 Speaker 1: and I still think it is it is tightening, so 39 00:02:27,919 --> 00:02:32,000 Speaker 1: overall we have wages going sort of roughly sideways in 40 00:02:32,040 --> 00:02:34,320 Speaker 1: the three and a half to four percent range. That's 41 00:02:34,320 --> 00:02:38,680 Speaker 1: our current estimate of the underlying pace and then the 42 00:02:38,800 --> 00:02:40,840 Speaker 1: real wage you know, really is going to depend on 43 00:02:40,880 --> 00:02:43,600 Speaker 1: what happens to inflation. In the short term, there is 44 00:02:43,639 --> 00:02:47,320 Speaker 1: no real wage growth. In fact, real wages probably declining 45 00:02:47,320 --> 00:02:51,880 Speaker 1: slightly because inflation is is higher than that. Longer term, 46 00:02:51,919 --> 00:02:54,360 Speaker 1: as you go into two thousand and twenty two, I 47 00:02:54,360 --> 00:02:57,400 Speaker 1: think we'll again have real wage gains. So, yeah, just 48 00:02:57,560 --> 00:03:00,200 Speaker 1: help we understand next year. Full pus in to the 49 00:03:00,200 --> 00:03:02,320 Speaker 1: baseline for the year, but I'm more interested in the 50 00:03:02,360 --> 00:03:05,160 Speaker 1: back half. Two Are you saying one point five to 51 00:03:06,120 --> 00:03:08,399 Speaker 1: GDP growth by the time we get to the back end? 52 00:03:10,520 --> 00:03:14,320 Speaker 1: That's right. The four percent is in part being driven 53 00:03:14,440 --> 00:03:19,520 Speaker 1: by the strength in the later part of two thousand 54 00:03:19,520 --> 00:03:22,720 Speaker 1: and twenty one that has a statistical carry over into 55 00:03:22,760 --> 00:03:25,320 Speaker 1: the year. But as you go through the year and 56 00:03:25,400 --> 00:03:28,320 Speaker 1: especially into the back half, we have it at three 57 00:03:28,360 --> 00:03:31,320 Speaker 1: percent in Q three and then one seventy five in 58 00:03:31,600 --> 00:03:35,800 Speaker 1: Q four. So she's definitely a trend towards slowdown, consistent 59 00:03:35,880 --> 00:03:39,720 Speaker 1: with some of these temporary positives petering out as you 60 00:03:39,760 --> 00:03:41,560 Speaker 1: go through the year. Yeah, and how do you think 61 00:03:41,560 --> 00:03:43,440 Speaker 1: the Federal Reserve will respond to them? Will they be 62 00:03:43,440 --> 00:03:45,800 Speaker 1: looking at the cumulative games that you've pointed out, Will 63 00:03:45,800 --> 00:03:48,520 Speaker 1: still be decent in the labor market or will they 64 00:03:48,560 --> 00:03:52,720 Speaker 1: be worried about growth slow and bank below two Well, 65 00:03:52,760 --> 00:03:56,120 Speaker 1: so a near term of course, you know, tapering is 66 00:03:56,240 --> 00:03:59,040 Speaker 1: very likely to be announced at the next meeting that's 67 00:03:59,040 --> 00:04:02,320 Speaker 1: going to take until the middle of two thousand and 68 00:04:02,320 --> 00:04:05,600 Speaker 1: twenty two, and then I think the question is where 69 00:04:05,680 --> 00:04:10,120 Speaker 1: is growth whereas the labor market, whereas inflation under our forecast, 70 00:04:10,680 --> 00:04:15,440 Speaker 1: growth is much more moderate and inflation is on its 71 00:04:15,480 --> 00:04:19,200 Speaker 1: way back down to something like two percent on core PC. 72 00:04:19,880 --> 00:04:23,039 Speaker 1: In that environment, I don't think they're going to move 73 00:04:23,520 --> 00:04:27,919 Speaker 1: directly to rate hikes, and we have the hikes not 74 00:04:28,080 --> 00:04:30,600 Speaker 1: starting until two thousand and twenty three. But of course 75 00:04:30,920 --> 00:04:32,960 Speaker 1: it's really going to depend on the on the data 76 00:04:33,240 --> 00:04:35,920 Speaker 1: and how they compare with the criteria that the Committee 77 00:04:35,960 --> 00:04:38,520 Speaker 1: has laid out. They've been very clear about that. Well, 78 00:04:38,560 --> 00:04:41,680 Speaker 1: tapering isn't going to help much in reducing the supply 79 00:04:41,839 --> 00:04:44,400 Speaker 1: side in facial inflationary pressures that are out there, you 80 00:04:44,400 --> 00:04:46,960 Speaker 1: could argue there's limited options for the FED to do 81 00:04:47,040 --> 00:04:50,760 Speaker 1: anything about that. Are the ripple effects though, of that 82 00:04:51,400 --> 00:04:56,640 Speaker 1: being more persistent than maybe expected, being underestimated, the ripple 83 00:04:56,680 --> 00:05:01,080 Speaker 1: effects from the supply side shortages, it's be taking longer 84 00:05:01,839 --> 00:05:05,320 Speaker 1: and that I think that's you know, pretty clear in 85 00:05:05,320 --> 00:05:10,000 Speaker 1: the inflation numbers in you know, I think a good indicator. 86 00:05:10,960 --> 00:05:14,640 Speaker 1: Obviously only one industry is used cars, where auction prices 87 00:05:14,680 --> 00:05:19,160 Speaker 1: again rose in September after several months of the clients. 88 00:05:19,640 --> 00:05:22,320 Speaker 1: So I do think in the in the next several 89 00:05:22,360 --> 00:05:26,600 Speaker 1: months will still have a significant inflation issue. We think 90 00:05:26,640 --> 00:05:29,680 Speaker 1: four pc inflation by the end of the year is 91 00:05:29,839 --> 00:05:32,080 Speaker 1: at four and a quarter percent, up from three point 92 00:05:32,120 --> 00:05:35,400 Speaker 1: six percent at the moment. As you go into two 93 00:05:35,480 --> 00:05:39,599 Speaker 1: thousand and twenty two, though, slower growth in demand and 94 00:05:40,080 --> 00:05:44,880 Speaker 1: probably also a redirection to some degree of that demand 95 00:05:45,480 --> 00:05:48,479 Speaker 1: from the good sector. Right now, it's very concentrated in 96 00:05:48,520 --> 00:05:52,039 Speaker 1: the good sector. It's probably going to normalize somewhat and 97 00:05:52,040 --> 00:05:54,320 Speaker 1: some of it is going to move into services, you know. 98 00:05:54,360 --> 00:05:59,040 Speaker 1: I think that is going to result in UH relaxation 99 00:05:59,120 --> 00:06:03,400 Speaker 1: basically of these of these supply bottlenecks and declining books prices. 100 00:06:03,680 --> 00:06:06,039 Speaker 1: But we're not yet in terms of supply issues. We 101 00:06:06,040 --> 00:06:08,000 Speaker 1: also have a real energy crunch out there in the 102 00:06:08,000 --> 00:06:10,560 Speaker 1: world that is driven crude oil prices to now eighty 103 00:06:10,600 --> 00:06:12,960 Speaker 1: two dollars a barrel on w T I what is 104 00:06:12,960 --> 00:06:16,640 Speaker 1: the real economic impact of crude north of AD. I 105 00:06:16,680 --> 00:06:21,640 Speaker 1: think again it adds to the near charm stackflation narrative. 106 00:06:21,760 --> 00:06:24,599 Speaker 1: It's bad for growth, but you know, at the same 107 00:06:24,640 --> 00:06:27,839 Speaker 1: time boots inflation mainly headline there. There's not a major 108 00:06:27,920 --> 00:06:31,360 Speaker 1: impact on the core numbers. They are the high numbers. 109 00:06:31,360 --> 00:06:34,719 Speaker 1: They are really driven by other factors. But it's all 110 00:06:34,760 --> 00:06:38,040 Speaker 1: pointing in the in the same direction in terms of 111 00:06:38,279 --> 00:06:43,599 Speaker 1: way on growth and making making inflation higher. Yeah, long 112 00:06:43,640 --> 00:06:47,800 Speaker 1: ago and far away, a younger hotsis defined the housing 113 00:06:47,880 --> 00:06:53,080 Speaker 1: market in America as we saw housing prices collapse. Let's 114 00:06:53,120 --> 00:06:57,080 Speaker 1: go to your Brookings effort here the balance sheet effects 115 00:06:57,200 --> 00:07:02,640 Speaker 1: of the home price downturn. We need a rewrite sheet 116 00:07:02,680 --> 00:07:06,719 Speaker 1: effects of the home price upturn. What do you make 117 00:07:06,880 --> 00:07:09,480 Speaker 1: of this boom, Yahn? What does it mean for our 118 00:07:09,600 --> 00:07:13,520 Speaker 1: viewers and listeners? Well, I think it is one of 119 00:07:13,680 --> 00:07:18,440 Speaker 1: the items on the strong side of the ledger and 120 00:07:18,640 --> 00:07:22,960 Speaker 1: one reason I think why we are getting a good 121 00:07:23,000 --> 00:07:26,400 Speaker 1: amount of balance sheet support that is upsetting to some 122 00:07:26,520 --> 00:07:31,240 Speaker 1: degree the negative fiscal impulse. But I think ultimately the 123 00:07:31,320 --> 00:07:34,680 Speaker 1: negative fiscal impulse is probably going to be larger, in 124 00:07:34,800 --> 00:07:39,200 Speaker 1: part because this housing boom underlike the pre two thousand 125 00:07:39,280 --> 00:07:42,920 Speaker 1: and seven or two thousand and eight housing boom doesn't 126 00:07:42,960 --> 00:07:46,880 Speaker 1: feature the same amount of mortgage equity withdrawal, you know, 127 00:07:46,880 --> 00:07:52,320 Speaker 1: wholem equity, borrowing, cash out refis, etcetera. That was really 128 00:07:52,640 --> 00:07:57,160 Speaker 1: a particular sort of way to turbo charge the housing 129 00:07:57,160 --> 00:07:59,760 Speaker 1: wealth effect back then. We're not seeing that to the 130 00:08:00,000 --> 00:08:03,320 Speaker 1: integrat degree now, so I also think the consumption effect 131 00:08:03,320 --> 00:08:05,440 Speaker 1: isn't going to be as large. Yeah, just quickly, a 132 00:08:05,440 --> 00:08:08,240 Speaker 1: final question, what do you make of this stag inflation 133 00:08:08,320 --> 00:08:11,360 Speaker 1: conversation that's taking place right now? What are you when 134 00:08:11,400 --> 00:08:14,400 Speaker 1: your team tan of clients about it? But I think 135 00:08:14,400 --> 00:08:17,360 Speaker 1: in the near German's real if you're just defined stagflation 136 00:08:17,920 --> 00:08:21,760 Speaker 1: as you know, deceleration and growth from the extremely rapid 137 00:08:21,840 --> 00:08:24,280 Speaker 1: pace that we had a couple of quarters a goal 138 00:08:24,640 --> 00:08:27,840 Speaker 1: and much higher inflation than we've had in several decades. 139 00:08:27,920 --> 00:08:30,920 Speaker 1: I mean, it's just a description of the fact. The 140 00:08:31,040 --> 00:08:33,680 Speaker 1: question is, I think what happens as you go into 141 00:08:33,679 --> 00:08:35,800 Speaker 1: two thousand twenty two, and I think that's going to 142 00:08:35,880 --> 00:08:40,480 Speaker 1: be a more traditional, you know, sort of cyclical slowdown 143 00:08:40,559 --> 00:08:44,160 Speaker 1: narrative also with the clients and inflation. But we're not 144 00:08:44,200 --> 00:08:46,280 Speaker 1: there yet, and we're probably not going to be there 145 00:08:46,360 --> 00:08:49,040 Speaker 1: for at least a few months longer. You just quickly then, 146 00:08:49,080 --> 00:08:51,480 Speaker 1: just looking at the FED forecast real GDP next year, 147 00:08:51,480 --> 00:08:53,400 Speaker 1: there are at three point eight year of four This 148 00:08:53,440 --> 00:08:57,120 Speaker 1: is for twenty two core pc. There are two point three. 149 00:08:57,280 --> 00:08:59,000 Speaker 1: Just you and just quickly confirmed. What are you at 150 00:08:59,040 --> 00:09:04,080 Speaker 1: for two for on core pc? So on a for 151 00:09:04,160 --> 00:09:07,440 Speaker 1: corpc by the end of the year, we're a so 152 00:09:07,679 --> 00:09:11,920 Speaker 1: a little bit below the FEDS forecast for GDP growth. 153 00:09:12,080 --> 00:09:14,840 Speaker 1: We're at three point three percent if you look at 154 00:09:14,880 --> 00:09:16,960 Speaker 1: it on the fourth quarter to the fourth quarter basis. 155 00:09:17,280 --> 00:09:19,640 Speaker 1: It's the way the FED looks at it. Yeah, and 156 00:09:19,679 --> 00:09:22,440 Speaker 1: thank you, sir. I appreciate that clarification got my sex 157 00:09:22,520 --> 00:09:25,600 Speaker 1: chief economist on the path forward. Ye, thank you very much. 158 00:09:31,200 --> 00:09:33,760 Speaker 1: So picture the scene you have won the Nobel Prize 159 00:09:33,760 --> 00:09:36,680 Speaker 1: in Economics, but you don't know you've won the Nobel 160 00:09:36,720 --> 00:09:39,160 Speaker 1: Prize in economics, and Tom the phone rings you live 161 00:09:39,160 --> 00:09:42,640 Speaker 1: in America on the West coast maybe, and your phonus room. 162 00:09:42,720 --> 00:09:45,920 Speaker 1: Do you pick up the phone? Well, I don't know 163 00:09:45,960 --> 00:09:48,160 Speaker 1: if you pick up the phone, but that is the great, 164 00:09:48,200 --> 00:09:50,560 Speaker 1: great tradition and maybe you miss it a few times. 165 00:09:50,920 --> 00:09:53,880 Speaker 1: Is Guido im Men's did this morning of the three 166 00:09:53,880 --> 00:09:56,320 Speaker 1: winners here. This is a gentleman who did the hard 167 00:09:56,320 --> 00:09:58,960 Speaker 1: work the math out of Brown University in the House 168 00:09:59,280 --> 00:10:04,160 Speaker 1: of Tony Land Gast Grido Evans has been definitive in econometrics. 169 00:10:04,200 --> 00:10:07,400 Speaker 1: Think Claude Granger and Robert Angel of San Diego a 170 00:10:07,520 --> 00:10:10,800 Speaker 1: number of years ago. Grado, this is an award for 171 00:10:10,960 --> 00:10:15,679 Speaker 1: labor and the choices of society makes in trying to 172 00:10:15,760 --> 00:10:21,400 Speaker 1: figure out jobs and wages. Discreat choice is the hallmark 173 00:10:21,600 --> 00:10:26,120 Speaker 1: of your work. What are the modern choices we're making 174 00:10:26,240 --> 00:10:32,439 Speaker 1: in labor in two thousand twenty one? Well, thanks thanks 175 00:10:32,600 --> 00:10:36,599 Speaker 1: for having me say. I mean, first all, it's just 176 00:10:36,760 --> 00:10:39,760 Speaker 1: been great shining this with with josh Anglis and David 177 00:10:39,840 --> 00:10:42,960 Speaker 1: Carr because they've they've been such role models for me 178 00:10:43,080 --> 00:10:45,760 Speaker 1: that they've been so fun to to work with and 179 00:10:46,000 --> 00:10:51,120 Speaker 1: have his colleagues, and in addition kind of Alan Couger 180 00:10:51,280 --> 00:10:55,560 Speaker 1: who's also worked in this this area, and all three 181 00:10:55,600 --> 00:10:57,959 Speaker 1: of them kind of have been working on these really 182 00:10:57,960 --> 00:11:03,600 Speaker 1: important subscentive questions and sacked and having been their colleagues, 183 00:11:04,080 --> 00:11:06,920 Speaker 1: then that motivated me to look at a lot of 184 00:11:06,960 --> 00:11:11,520 Speaker 1: the methodological issues related to their questions. To make their 185 00:11:11,600 --> 00:11:14,880 Speaker 1: arms is more convincing and more credible and hopefully more 186 00:11:14,960 --> 00:11:20,480 Speaker 1: useful for policymakers. I look, Guido at the present work 187 00:11:20,520 --> 00:11:23,040 Speaker 1: here in the hallmark of this is to take David 188 00:11:23,080 --> 00:11:26,880 Speaker 1: Carter and Ellen Krueger over to what Angerston in Ben's 189 00:11:26,960 --> 00:11:32,440 Speaker 1: did an econometrics and math, over to the modern technology 190 00:11:32,480 --> 00:11:38,800 Speaker 1: of Amazon, target and the rest getting sixteen seventeen eighteen 191 00:11:38,840 --> 00:11:43,400 Speaker 1: dollars an hour because they can't find labor. From where 192 00:11:43,480 --> 00:11:47,480 Speaker 1: you sit, what does the marginal wage due to all 193 00:11:47,679 --> 00:11:54,640 Speaker 1: of America with Amazon going out looking for the marginal employee. 194 00:11:55,160 --> 00:11:57,920 Speaker 1: But at the moment, I think it's all very much 195 00:11:58,000 --> 00:12:03,599 Speaker 1: influx after the pandemics, of course, has had great effects 196 00:12:03,600 --> 00:12:09,960 Speaker 1: on on inequality and it's it's had such an equal 197 00:12:10,000 --> 00:12:12,960 Speaker 1: impact on different parts of the of the labor market, 198 00:12:13,840 --> 00:12:17,680 Speaker 1: and so I think Ellen and David's work is still 199 00:12:17,720 --> 00:12:23,920 Speaker 1: extremely relevant there and I think the current administration has 200 00:12:23,960 --> 00:12:30,040 Speaker 1: probably taken up very seriously. Yeah, Guido, obviously your work 201 00:12:30,080 --> 00:12:34,600 Speaker 1: focused on natural experiments in the actual study of empirical data. 202 00:12:34,880 --> 00:12:37,360 Speaker 1: As we talk about monetary policy and a federal reserve 203 00:12:37,400 --> 00:12:41,559 Speaker 1: that wants to operate on actual, realized data versus expectations, 204 00:12:42,840 --> 00:12:44,880 Speaker 1: is that something that can only really be done with 205 00:12:45,000 --> 00:12:49,720 Speaker 1: hindsight bias. No, I think a lot of these methods 206 00:12:49,760 --> 00:12:55,080 Speaker 1: are very relevant for for informing future policies, and a 207 00:12:55,080 --> 00:13:00,360 Speaker 1: lot of the datual experiment literature has also made roads 208 00:13:00,400 --> 00:13:05,120 Speaker 1: into macroeconomics and is incredibly interesting work going on there 209 00:13:05,120 --> 00:13:09,520 Speaker 1: that early on the Christian David Roman is very interesting 210 00:13:09,559 --> 00:13:13,920 Speaker 1: work there nowadays, uh, I mean Necamora and Don Science 211 00:13:13,960 --> 00:13:17,199 Speaker 1: and doing very interesting work trying to also tease out 212 00:13:17,280 --> 00:13:21,240 Speaker 1: correlation and causality in macroeconomic settings, where these classes are 213 00:13:21,240 --> 00:13:24,800 Speaker 1: even more challenging than in the settings with my code 214 00:13:24,840 --> 00:13:28,600 Speaker 1: data that David, Josh and I have typically looked at 215 00:13:29,640 --> 00:13:32,640 Speaker 1: Professor Emmons, what is so important here? And I think 216 00:13:32,679 --> 00:13:35,080 Speaker 1: we'll do just one final questionnaire as you go to 217 00:13:35,160 --> 00:13:39,560 Speaker 1: your massive media day and celebration of this award, And 218 00:13:39,640 --> 00:13:43,040 Speaker 1: the final question is we have a certitude about data. 219 00:13:43,520 --> 00:13:46,280 Speaker 1: It's in our economics, it's in our academics, it's in 220 00:13:46,360 --> 00:13:49,520 Speaker 1: Wall Street, it's in everything to do with the financial media. 221 00:13:50,160 --> 00:13:52,600 Speaker 1: You grew up in what I'm gonna call the Baysie 222 00:13:52,640 --> 00:13:57,559 Speaker 1: in the house, which is real doubt over ninety and certitude. 223 00:13:57,880 --> 00:14:01,800 Speaker 1: Are we too confident about our data that we're trying 224 00:14:01,800 --> 00:14:05,760 Speaker 1: to guess the future on I think I think that 225 00:14:05,920 --> 00:14:08,720 Speaker 1: that's a super interesting question, and that's that's something that 226 00:14:09,840 --> 00:14:12,920 Speaker 1: that's occupy a lot of my of my thinking. We're 227 00:14:12,960 --> 00:14:17,040 Speaker 1: trying to I think traditionally we've we've certainly aired on 228 00:14:17,080 --> 00:14:19,120 Speaker 1: the side of putting too much faith in the in 229 00:14:19,160 --> 00:14:21,280 Speaker 1: the models, and so a lot of the methods have 230 00:14:21,400 --> 00:14:24,040 Speaker 1: been developing have been trying to get away from that 231 00:14:24,120 --> 00:14:29,160 Speaker 1: and trying to make these methods more robust, but as 232 00:14:29,280 --> 00:14:35,120 Speaker 1: as ongoing challenges and in doing so, professor, before you run, 233 00:14:35,160 --> 00:14:37,960 Speaker 1: did you miss the phone call? What time did they call? 234 00:14:38,240 --> 00:14:40,160 Speaker 1: I miss I missed the first phone call. I got 235 00:14:40,160 --> 00:14:45,720 Speaker 1: the second one. Uh so, I was been a long 236 00:14:45,800 --> 00:14:49,280 Speaker 1: day before for us. I was. I was sleeping well 237 00:14:49,840 --> 00:14:55,000 Speaker 1: and uh I wasn't expecting this as it's often the way, sir, 238 00:14:55,120 --> 00:14:57,280 Speaker 1: as it's often the white They missed the phone call. 239 00:14:57,400 --> 00:14:59,840 Speaker 1: Queen Emmant s, thank you so and congratulations so much. 240 00:15:00,000 --> 00:15:03,400 Speaker 1: E tunny walk about Prize for Economics winner and Stanford 241 00:15:03,480 --> 00:15:06,800 Speaker 1: University Economics professor, that's home. They always missed the code. 242 00:15:07,160 --> 00:15:09,480 Speaker 1: That's what I find always funny about this. They always 243 00:15:09,760 --> 00:15:18,200 Speaker 1: missed the code. Right now and we are well timed 244 00:15:18,200 --> 00:15:20,960 Speaker 1: to speak to one of our great labor economy, and 245 00:15:21,040 --> 00:15:22,960 Speaker 1: she is inquisitive, to say the least out of the 246 00:15:23,000 --> 00:15:28,320 Speaker 1: Michigan Shop Claudius sam Joe's joins us always controversial, always opinionated, 247 00:15:28,760 --> 00:15:31,400 Speaker 1: and knowing that it is a day of celebration in 248 00:15:31,440 --> 00:15:34,760 Speaker 1: her world, which is labor economics, Claudia, and we want 249 00:15:34,760 --> 00:15:37,080 Speaker 1: to stay in theme. But if I look at Guido 250 00:15:37,200 --> 00:15:40,400 Speaker 1: in Ben's, if I look at Joshua Angerston, particularly if 251 00:15:40,440 --> 00:15:44,120 Speaker 1: I look at David Card and Alan Krueger, um, I 252 00:15:44,520 --> 00:15:47,360 Speaker 1: just have to say, this is a day of the 253 00:15:47,440 --> 00:15:53,320 Speaker 1: minimum wage. Fold their work into the observation. Amazon has 254 00:15:53,360 --> 00:15:57,360 Speaker 1: to give out eighteen dollars an hour to find someone today. 255 00:15:59,000 --> 00:16:03,520 Speaker 1: All right, So for these Nobel Prize winners today, you know, congratulations, 256 00:16:04,040 --> 00:16:06,960 Speaker 1: uh and I agree. There you can go back to 257 00:16:07,040 --> 00:16:11,480 Speaker 1: the really path breaking work that David Card and Alan 258 00:16:11,560 --> 00:16:15,240 Speaker 1: Krueger did in the early nine nineties, and it was 259 00:16:15,440 --> 00:16:19,280 Speaker 1: very careful, empirical work. Go out in the world and 260 00:16:19,360 --> 00:16:22,480 Speaker 1: see what is happening in states that raise minimum wage 261 00:16:22,560 --> 00:16:25,440 Speaker 1: and states that don't. Now, a lot of happened in 262 00:16:25,520 --> 00:16:28,520 Speaker 1: terms of research that since then, but they at least 263 00:16:28,640 --> 00:16:32,960 Speaker 1: raise the question that you raise wages and you don't 264 00:16:32,960 --> 00:16:36,720 Speaker 1: lose out on business. It's not bad for the company. 265 00:16:36,760 --> 00:16:40,320 Speaker 1: Normally in economics we'd say this, this is gonna be 266 00:16:40,360 --> 00:16:43,160 Speaker 1: a problem for employers, it's gonna be a problem for businesses. 267 00:16:43,600 --> 00:16:46,320 Speaker 1: And they found in one case, and like I said, 268 00:16:46,320 --> 00:16:48,480 Speaker 1: there's a lot of literature, there's a lot of debate 269 00:16:48,560 --> 00:16:50,920 Speaker 1: after that about the effects of minimum wage, but it 270 00:16:50,960 --> 00:16:54,520 Speaker 1: really opened up a conversation. Let's get past our models 271 00:16:54,960 --> 00:16:57,400 Speaker 1: and let's go see what's happening to all of this, 272 00:16:57,560 --> 00:17:00,960 Speaker 1: and the the incredibly acute mathematic tics of Angers and 273 00:17:01,160 --> 00:17:03,760 Speaker 1: Emmons as well also working. I should point out with 274 00:17:03,800 --> 00:17:07,119 Speaker 1: Alan Krueger Claudia some what this comes down to is 275 00:17:07,160 --> 00:17:10,239 Speaker 1: the reality right now. And I have a question on 276 00:17:10,359 --> 00:17:14,840 Speaker 1: local economics, think David blanche Flower at Dartmouth is Amazon 277 00:17:15,160 --> 00:17:20,159 Speaker 1: target cost go? Are they the marginal price determinant of 278 00:17:20,200 --> 00:17:26,040 Speaker 1: the wage in local economies? Well, this is a trend 279 00:17:26,119 --> 00:17:28,840 Speaker 1: we have seen for decades. So this goes way beyond 280 00:17:29,119 --> 00:17:32,880 Speaker 1: COVID in that you have local labor markets where there 281 00:17:33,000 --> 00:17:37,040 Speaker 1: is a dominant employer. Amazon's a big company in terms 282 00:17:37,040 --> 00:17:40,600 Speaker 1: of customers buying things. Amazon can be a big employer 283 00:17:40,640 --> 00:17:42,639 Speaker 1: if you are in an area that has one of 284 00:17:42,680 --> 00:17:45,359 Speaker 1: the warehouses. I grew up in Indiana, close to an 285 00:17:45,359 --> 00:17:48,000 Speaker 1: inter state. When I go home, there's all kinds of 286 00:17:48,040 --> 00:17:51,320 Speaker 1: warehouses in place now or being built. They tend to 287 00:17:51,359 --> 00:17:55,000 Speaker 1: pay above the local wage, but then they have a 288 00:17:55,040 --> 00:17:58,959 Speaker 1: lot of bargaining power over the workers, and and that 289 00:17:59,040 --> 00:18:02,520 Speaker 1: can lead to real problems, not just in terms of wages, 290 00:18:02,560 --> 00:18:06,000 Speaker 1: but working conditions. Right Like, we know from a lot 291 00:18:06,040 --> 00:18:08,960 Speaker 1: of people that have worked in these plans or these warehouses, 292 00:18:09,240 --> 00:18:12,480 Speaker 1: it's not an easy job. And John, you wonder if 293 00:18:12,520 --> 00:18:15,719 Speaker 1: this is the new form of unionization almost the dominance 294 00:18:15,760 --> 00:18:18,879 Speaker 1: of these companies setting the marginal wage. Let's build on 295 00:18:18,920 --> 00:18:21,159 Speaker 1: some of this time, the contribution of Card and Kruger 296 00:18:21,240 --> 00:18:24,080 Speaker 1: to the real world, the real economy for good, Claudia, 297 00:18:24,080 --> 00:18:26,920 Speaker 1: a quote of yours. I want economic policy to be good, 298 00:18:27,359 --> 00:18:29,880 Speaker 1: like economists to do good in the world. Larry, you're 299 00:18:29,920 --> 00:18:32,439 Speaker 1: referring to Larry Summers. Here is something of it. I 300 00:18:32,480 --> 00:18:34,520 Speaker 1: don't now. I see him as a roadblock to achieving 301 00:18:34,560 --> 00:18:37,000 Speaker 1: that girl that was in an interview with Political magazine. 302 00:18:37,480 --> 00:18:40,960 Speaker 1: Why do you think that, Claudia, Right, Well, this is 303 00:18:41,000 --> 00:18:44,639 Speaker 1: this really is not about Larry. It's it's about the 304 00:18:44,720 --> 00:18:48,760 Speaker 1: change that needs to happen. In economics. I think if 305 00:18:49,880 --> 00:18:54,159 Speaker 1: of a generation of economists, particular in macroeconomics, there is 306 00:18:54,200 --> 00:18:57,320 Speaker 1: a I have a mental model. I have a way 307 00:18:57,320 --> 00:19:00,119 Speaker 1: the world should work, and I'm going to keep going 308 00:19:00,240 --> 00:19:03,480 Speaker 1: back to it. Larry did an interview with Noah Smith, 309 00:19:03,560 --> 00:19:06,240 Speaker 1: and he was really clear, I don't have a model. 310 00:19:06,320 --> 00:19:09,199 Speaker 1: He has an intuition and that comes from years of 311 00:19:09,280 --> 00:19:15,080 Speaker 1: experience watching the economy. But the real contribution of the 312 00:19:15,119 --> 00:19:18,240 Speaker 1: Nobel Prize winners today is to say, let's step back, 313 00:19:18,359 --> 00:19:20,920 Speaker 1: let's go get the data, let's look at the world, 314 00:19:21,520 --> 00:19:25,160 Speaker 1: and not do introspection. It is too hard and can 315 00:19:25,280 --> 00:19:27,520 Speaker 1: really lead to a stray if you're doing that from 316 00:19:27,560 --> 00:19:32,640 Speaker 1: the Ivory Towers in Cambridge, Massachusetts. So that's really and 317 00:19:32,800 --> 00:19:35,600 Speaker 1: Larry just happens to be a flag bearer of the 318 00:19:35,680 --> 00:19:39,840 Speaker 1: old guard. And I just particularly in this crisis, particularly 319 00:19:39,840 --> 00:19:43,640 Speaker 1: in the way that different groups of people, marginalized workers, 320 00:19:43,640 --> 00:19:48,080 Speaker 1: the ones who end up working at Amazon, they need 321 00:19:48,160 --> 00:19:50,159 Speaker 1: economists to be out in the world looking at the 322 00:19:50,240 --> 00:19:54,520 Speaker 1: data and not sitting back and using past experience, using 323 00:19:54,800 --> 00:19:59,240 Speaker 1: intuition to make decisions. So that that's what that concerned 324 00:19:59,320 --> 00:20:01,800 Speaker 1: that I'm raising is about what your advice. Clodia then 325 00:20:01,840 --> 00:20:04,760 Speaker 1: to a students of economics right now who are just 326 00:20:04,760 --> 00:20:07,680 Speaker 1: starting gout and be much bigger question I think for 327 00:20:07,800 --> 00:20:10,040 Speaker 1: policy Mike, is that the Federals who have been conditioned 328 00:20:10,040 --> 00:20:14,840 Speaker 1: by everything you just said. Mm hmm. Yeah. So economics 329 00:20:14,920 --> 00:20:17,760 Speaker 1: is all around us, right, It's not just listening to 330 00:20:17,800 --> 00:20:19,880 Speaker 1: what the Fed is gonna do, what the markets are doing. 331 00:20:20,200 --> 00:20:22,719 Speaker 1: A really big debate that's happening right now that is 332 00:20:22,800 --> 00:20:28,280 Speaker 1: absolutely using the tools of the prize winners today are 333 00:20:28,560 --> 00:20:31,879 Speaker 1: the debates about what is causing the labor shortage. How 334 00:20:31,960 --> 00:20:36,800 Speaker 1: important was unemployment insurance in that holding back of workers. 335 00:20:37,080 --> 00:20:39,760 Speaker 1: There's a lot of debate on Friday about not seeing 336 00:20:39,760 --> 00:20:43,160 Speaker 1: big numbers now that it are in early September, those 337 00:20:43,200 --> 00:20:47,359 Speaker 1: benefits expired and they're absolutely using those methods because we 338 00:20:47,400 --> 00:20:51,200 Speaker 1: saw different states roll off their benefits at different points 339 00:20:51,200 --> 00:20:54,200 Speaker 1: this summer. So these tools, they've been refined since they've 340 00:20:54,240 --> 00:20:58,480 Speaker 1: been developed. But like, but economists are out there trying 341 00:20:58,520 --> 00:21:02,680 Speaker 1: to answer the questions, the questions about people about labor markets. 342 00:21:03,200 --> 00:21:06,320 Speaker 1: The policymakers need to know so that they can make 343 00:21:06,440 --> 00:21:09,440 Speaker 1: big decisions. Well, let's talk about the questions in the 344 00:21:09,520 --> 00:21:13,320 Speaker 1: labor market. Participation has remained stubbornly low. We saw more 345 00:21:13,359 --> 00:21:16,880 Speaker 1: evidence of that on Friday. Is that again transitory as 346 00:21:16,920 --> 00:21:19,320 Speaker 1: we talk about so many of the shortages out there 347 00:21:19,359 --> 00:21:23,840 Speaker 1: are or is that something structural? Well I said throughout 348 00:21:23,880 --> 00:21:27,760 Speaker 1: this COVID is the enemy of everything that is happening 349 00:21:27,760 --> 00:21:30,320 Speaker 1: in our world, and it is absolutely the case in 350 00:21:30,400 --> 00:21:34,120 Speaker 1: labor markets. Now it's not the only factor, I think 351 00:21:34,119 --> 00:21:36,199 Speaker 1: in the labor markets, and we actually see this a 352 00:21:36,240 --> 00:21:40,520 Speaker 1: lot of places. What whatever problems we were living with 353 00:21:40,640 --> 00:21:45,600 Speaker 1: before COVID, those became so much worse. Right, if you 354 00:21:45,640 --> 00:21:48,560 Speaker 1: think about before COVID, there were a lot of parents 355 00:21:48,600 --> 00:21:53,400 Speaker 1: that struggled to get childcare. It was often extremely unaffordable 356 00:21:53,480 --> 00:21:56,679 Speaker 1: in areas of the country like where I live outside 357 00:21:56,720 --> 00:22:01,359 Speaker 1: of Washington, d C. And then we have COVID and 358 00:22:01,840 --> 00:22:05,280 Speaker 1: it becomes harder, it's less reliable, and our parents are 359 00:22:05,320 --> 00:22:08,440 Speaker 1: concerned about it not being safe, and so that decision 360 00:22:08,480 --> 00:22:10,600 Speaker 1: that was always hard. Do you have like the one 361 00:22:10,680 --> 00:22:13,520 Speaker 1: wage earner off of the mother who would make less wages, 362 00:22:13,560 --> 00:22:15,480 Speaker 1: do you have her stay at home or do she 363 00:22:15,560 --> 00:22:18,520 Speaker 1: go back to work? Right like, that got so much worse, 364 00:22:18,600 --> 00:22:21,440 Speaker 1: and we saw a lot of parents drop out of 365 00:22:21,480 --> 00:22:24,480 Speaker 1: the labor force early on, and one of the disappointments 366 00:22:24,520 --> 00:22:28,760 Speaker 1: on Friday was it's fall. Schools are reopening. It's a 367 00:22:28,760 --> 00:22:31,359 Speaker 1: little rocky because people kids get sent home if a 368 00:22:31,400 --> 00:22:36,119 Speaker 1: COVID exposure. Women didn't come back last month. September were 369 00:22:36,160 --> 00:22:38,880 Speaker 1: supposed to be one of the big ones. So that's 370 00:22:38,920 --> 00:22:42,160 Speaker 1: just one example, Claudia, is what you're saying helping make 371 00:22:42,240 --> 00:22:44,560 Speaker 1: the case for some of the social policies on the 372 00:22:44,560 --> 00:22:47,000 Speaker 1: table in terms of longer term economic spending in Congress. 373 00:22:47,080 --> 00:22:50,640 Speaker 1: Childclaire is included in that right. So, I think we're 374 00:22:50,680 --> 00:22:53,439 Speaker 1: at the point now where we we have seen this 375 00:22:53,480 --> 00:22:56,760 Speaker 1: in so many places, the structural problems the labor market 376 00:22:56,800 --> 00:22:59,320 Speaker 1: in general, low wage workers had a lot of problems 377 00:22:59,560 --> 00:23:02,680 Speaker 1: in terms of what they were able to bargain for before, 378 00:23:03,240 --> 00:23:08,399 Speaker 1: so let's fix those. This crisis has amplified and made 379 00:23:08,400 --> 00:23:12,080 Speaker 1: it so obvious that the inequalities, the inequities and our 380 00:23:12,119 --> 00:23:16,680 Speaker 1: economy are they're holding us all back. Now. Congress has 381 00:23:16,760 --> 00:23:21,320 Speaker 1: not done big future looking long term investments in the 382 00:23:21,400 --> 00:23:26,280 Speaker 1: country for a long time, and frankly, it is absolutely 383 00:23:26,480 --> 00:23:29,520 Speaker 1: frustrating to see the whole debate about how many trillion 384 00:23:29,560 --> 00:23:33,160 Speaker 1: dollars we have a lot to do in this country 385 00:23:33,440 --> 00:23:36,639 Speaker 1: and sadly, I think Congress doesn't have a lot of 386 00:23:36,640 --> 00:23:41,080 Speaker 1: crap practice recently and getting it done. Claudia, we've gotta 387 00:23:41,119 --> 00:23:42,760 Speaker 1: leave it that we appreciate your time this morning. We're 388 00:23:42,760 --> 00:23:44,520 Speaker 1: ready to thank you very much for being with this, 389 00:23:44,600 --> 00:23:47,720 Speaker 1: Clodia Sanda of the Family Institute, and a whole wealth 390 00:23:47,720 --> 00:23:50,080 Speaker 1: of experience, Tom Back of the Federal Serve as well 391 00:23:56,240 --> 00:23:58,440 Speaker 1: on the COVID On the vaccine, I don't know where 392 00:23:58,440 --> 00:24:00,800 Speaker 1: I said things are getting better, but where I sait 393 00:24:00,920 --> 00:24:03,199 Speaker 1: maybe isn't the rest of America or the rest of 394 00:24:03,200 --> 00:24:06,600 Speaker 1: the world. It is a world of vaccine protest, whether 395 00:24:06,640 --> 00:24:11,400 Speaker 1: in Rome this weekend and thousands of Melbourne, Australia again 396 00:24:12,000 --> 00:24:15,320 Speaker 1: and others around the world, and the oddity in America 397 00:24:15,359 --> 00:24:20,199 Speaker 1: of possible vaccine protests by businesses and by their employees. 398 00:24:20,280 --> 00:24:25,360 Speaker 1: Joshua Scharstein joins them. JOHNS. Hopkins, Bloomberg School of Public Health. Joshua, 399 00:24:25,359 --> 00:24:31,480 Speaker 1: are you surprised by vaccine protest? I'm not not surprised, 400 00:24:31,480 --> 00:24:34,760 Speaker 1: given just how polarized the whole pandemic has been over 401 00:24:34,800 --> 00:24:37,920 Speaker 1: the last year and a half. Um but I think 402 00:24:38,000 --> 00:24:40,000 Speaker 1: we have to realize that when there are a lot 403 00:24:40,000 --> 00:24:43,200 Speaker 1: of cases people see the problem right in front of them, 404 00:24:43,440 --> 00:24:46,520 Speaker 1: and they're more likely to go get vaccinated when they're 405 00:24:46,560 --> 00:24:49,560 Speaker 1: not a lot of cases people wonder, well, you know, 406 00:24:49,600 --> 00:24:52,000 Speaker 1: do I need to get vaccinated? And then there's so 407 00:24:52,080 --> 00:24:55,240 Speaker 1: much misinformation out there that keeps him from getting vaccinated. 408 00:24:55,560 --> 00:24:58,040 Speaker 1: So as we look to the future and the good 409 00:24:58,040 --> 00:25:00,080 Speaker 1: news that it looks like on the you know, the 410 00:25:00,160 --> 00:25:03,680 Speaker 1: right side of the delta waves coming down, things look 411 00:25:03,920 --> 00:25:07,760 Speaker 1: a little bit um more optimistic going into the fall 412 00:25:07,760 --> 00:25:11,639 Speaker 1: and winter. Um. But also it may be that people 413 00:25:11,800 --> 00:25:14,480 Speaker 1: will feel less likely to be vaccinated because of that. 414 00:25:14,680 --> 00:25:17,400 Speaker 1: So I think we're going to be seeing this and 415 00:25:17,520 --> 00:25:21,680 Speaker 1: it might be industry by industry, particularly for industries where 416 00:25:21,680 --> 00:25:26,360 Speaker 1: workers might leave the general council or the chief medical 417 00:25:26,400 --> 00:25:31,560 Speaker 1: officer of a given fortune five hundred company dials Sharfstein 418 00:25:31,680 --> 00:25:35,159 Speaker 1: and says what should we do? How should business respond 419 00:25:35,440 --> 00:25:39,320 Speaker 1: to vaccine protest? Yeah, I've been on the phone with 420 00:25:39,600 --> 00:25:43,919 Speaker 1: some businesses like that, some organizations, and it's really important 421 00:25:43,960 --> 00:25:48,040 Speaker 1: to focus on countering misinformation. There is so much misinformation. 422 00:25:48,080 --> 00:25:50,959 Speaker 1: I've done some you know, big kind of town halls 423 00:25:51,000 --> 00:25:55,000 Speaker 1: with employees and the questions come from truly out of 424 00:25:55,080 --> 00:25:58,520 Speaker 1: left field, um, with sometimes just almost snow basis in 425 00:25:58,600 --> 00:26:02,080 Speaker 1: reality whatsoever. And you know, I think, um, one of 426 00:26:02,080 --> 00:26:05,240 Speaker 1: the insights I've learned from some experts and misinformation is 427 00:26:05,280 --> 00:26:07,879 Speaker 1: that people like me, we tend to think we explain 428 00:26:07,960 --> 00:26:11,760 Speaker 1: it once. People should understand meanwhile, the misinformation is coming 429 00:26:11,760 --> 00:26:15,119 Speaker 1: to people morning, noon, and night. So it's really important 430 00:26:15,160 --> 00:26:20,760 Speaker 1: for employers to constantly be communicating different ways, different messengers, 431 00:26:21,280 --> 00:26:24,439 Speaker 1: you know, UM, people that their employees can relate to 432 00:26:24,640 --> 00:26:28,560 Speaker 1: and be relentless because the misinformation is relentless. Well, this 433 00:26:28,680 --> 00:26:31,760 Speaker 1: is no longer just about adults. Dr Sharfsty And obviously 434 00:26:31,760 --> 00:26:34,720 Speaker 1: we're awaiting an FDA decision on the vaccine for children 435 00:26:34,720 --> 00:26:37,280 Speaker 1: that could come later this month. CBS, and you have 436 00:26:37,359 --> 00:26:39,440 Speaker 1: put out a poll over the weekend that even among 437 00:26:39,560 --> 00:26:43,119 Speaker 1: vaccinated parents, only sixty one percent of them are willing 438 00:26:43,160 --> 00:26:46,000 Speaker 1: to have their children get a shot. Do you understand 439 00:26:46,080 --> 00:26:50,960 Speaker 1: that hesitation. I think that it is a little premature 440 00:26:51,040 --> 00:26:53,159 Speaker 1: to be making too much of those polls because we 441 00:26:53,240 --> 00:26:55,960 Speaker 1: really haven't had a full airing of the data, full 442 00:26:56,000 --> 00:26:59,240 Speaker 1: discussion with the advisory committee. You know, all we really 443 00:26:59,280 --> 00:27:01,760 Speaker 1: have is that acclaimed by the company at this point. 444 00:27:02,000 --> 00:27:04,520 Speaker 1: So I think parents are are right to be saying Okay, 445 00:27:04,600 --> 00:27:07,040 Speaker 1: let's take it one step at a time now, Just 446 00:27:07,119 --> 00:27:09,159 Speaker 1: like with the adult vaccine, I think there'll be some 447 00:27:09,240 --> 00:27:12,320 Speaker 1: people who jump out and want to vaccinate their kids early, 448 00:27:12,440 --> 00:27:14,360 Speaker 1: and others maybe a little bit more in the wait 449 00:27:14,400 --> 00:27:18,040 Speaker 1: and see camp. It's going to be really important for 450 00:27:18,119 --> 00:27:21,320 Speaker 1: the FDA and CDC not just to make a decision 451 00:27:21,840 --> 00:27:23,960 Speaker 1: based on the evidence that they have now, but to 452 00:27:24,080 --> 00:27:27,480 Speaker 1: explain how they're going to get more evidence, how they're 453 00:27:27,480 --> 00:27:29,520 Speaker 1: going to be able to share that evidence so that 454 00:27:29,600 --> 00:27:33,480 Speaker 1: people can see what's happening and ideally build confidence with 455 00:27:33,520 --> 00:27:37,120 Speaker 1: more and more people over time. Is her immunity still 456 00:27:37,200 --> 00:27:41,359 Speaker 1: an achievable goal, Well, you know, to the extent that 457 00:27:41,359 --> 00:27:43,520 Speaker 1: her immunity means there's there's not going to be a 458 00:27:43,520 --> 00:27:47,120 Speaker 1: lot of COVID around, I think we're going to hopefully 459 00:27:47,119 --> 00:27:50,080 Speaker 1: get there unless there's a big mutation in the virus. 460 00:27:50,520 --> 00:27:53,639 Speaker 1: But her immunity doesn't mean no virus, and it doesn't 461 00:27:53,640 --> 00:27:55,880 Speaker 1: mean no risk, and it doesn't mean there couldn't be 462 00:27:56,920 --> 00:28:00,000 Speaker 1: outbreaks here and there, particularly where their pockets of people 463 00:28:00,040 --> 00:28:03,480 Speaker 1: who are unvaccinated. Um So I think, you know, the 464 00:28:03,520 --> 00:28:06,879 Speaker 1: more likely scenario is that we will be living with 465 00:28:06,920 --> 00:28:09,320 Speaker 1: the virus and hopefully we'll be living with a low 466 00:28:09,400 --> 00:28:11,480 Speaker 1: level of the virus rather than a medium level of 467 00:28:11,480 --> 00:28:13,080 Speaker 1: the virus. And tell me if you notice that the 468 00:28:13,119 --> 00:28:16,160 Speaker 1: messaging has changed on TV. The commercials are less about 469 00:28:16,200 --> 00:28:18,640 Speaker 1: get a vaccine and much more about mental health. Did 470 00:28:18,640 --> 00:28:20,639 Speaker 1: you notice that in the last week or so. I 471 00:28:20,680 --> 00:28:23,800 Speaker 1: can't think of a single vaccine commercial that I've seen 472 00:28:24,320 --> 00:28:27,000 Speaker 1: from New York State over the past week or so 473 00:28:27,600 --> 00:28:30,640 Speaker 1: on TV. I think there are subtle shifts here. Part 474 00:28:30,680 --> 00:28:33,320 Speaker 1: of it is the impatience of people, and part of 475 00:28:33,359 --> 00:28:36,560 Speaker 1: it is legitimate protest. I mean, what's fascinating to me 476 00:28:36,680 --> 00:28:39,440 Speaker 1: is how will this a man when finally we'd get 477 00:28:39,480 --> 00:28:42,640 Speaker 1: five year olds to eleven year olds? Uh? You know, 478 00:28:42,720 --> 00:28:44,480 Speaker 1: you know, John, I have to admit a seven year 479 00:28:44,520 --> 00:28:47,160 Speaker 1: old descendant on the house this weekend. It was an 480 00:28:47,200 --> 00:28:49,920 Speaker 1: odd and beautiful thing. We tried to trade the two 481 00:28:49,960 --> 00:28:51,840 Speaker 1: dogs for the seven year old, but that didn't work. 482 00:28:51,960 --> 00:28:54,080 Speaker 1: I didn't imagine that tim work. And you know, to 483 00:28:54,120 --> 00:28:56,760 Speaker 1: be honest, John is an idiot. I was confronted with 484 00:28:56,800 --> 00:28:59,920 Speaker 1: what others like Mr Bramo, it's face each and every day. 485 00:29:00,120 --> 00:29:04,160 Speaker 1: Let me unvaccinated doctor, if you notice them, I'm noticing 486 00:29:04,280 --> 00:29:06,680 Speaker 1: something or nothing at all. I see a lot more 487 00:29:06,720 --> 00:29:11,719 Speaker 1: now about mental health than I do about get a vaccine. Um, 488 00:29:11,760 --> 00:29:14,680 Speaker 1: I have not particularly noticed that, but I'm not maybe 489 00:29:14,680 --> 00:29:17,440 Speaker 1: watching TV in New York. I would say, though mental 490 00:29:17,440 --> 00:29:21,040 Speaker 1: health is extremely important, and you know, this pandemic has 491 00:29:21,080 --> 00:29:24,400 Speaker 1: affected people in so many different ways and so difficult 492 00:29:24,480 --> 00:29:26,560 Speaker 1: in so many different ways. It's really important to pay 493 00:29:26,600 --> 00:29:29,600 Speaker 1: attention to that too. But you know, a vaccine is 494 00:29:29,640 --> 00:29:32,800 Speaker 1: a path to fewer cases, which hopefully will you know, 495 00:29:33,120 --> 00:29:37,080 Speaker 1: help everyone's mental health. Doctor. Thank you, doctor Joshua Schafstein. 496 00:29:37,120 --> 00:29:39,880 Speaker 1: There of Johns Hopkins to Bloomberg School a public health 497 00:29:40,280 --> 00:29:44,520 Speaker 1: by staying. This is the Bloomberg Surveillance Podcast. Thanks for listening. 498 00:29:44,880 --> 00:29:48,200 Speaker 1: Join us live weekdays from seven to ten am Eastern. 499 00:29:48,440 --> 00:29:52,520 Speaker 1: I'm Bloomberg Radio and I'm Bloomberg Television each day from 500 00:29:52,560 --> 00:29:57,800 Speaker 1: six to nine am for insight from the best in economics, finance, investment, 501 00:29:57,960 --> 00:30:03,000 Speaker 1: and international relations. And subscribe to the Surveillance podcast on 502 00:30:03,080 --> 00:30:06,880 Speaker 1: Apple podcast, SoundCloud, Bloomberg dot com, and of course on 503 00:30:07,000 --> 00:30:11,120 Speaker 1: the terminal. I'm Tom keene In. This is Bloomberg