1 00:00:02,520 --> 00:00:11,879 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. This is Masters in 2 00:00:11,960 --> 00:00:15,480 Speaker 1: Business with Barry Ritholts on Bloomberg Radio. 3 00:00:17,320 --> 00:00:20,720 Speaker 2: I'm Barry Ridholts. You're listening to Masters in Business on 4 00:00:20,840 --> 00:00:25,880 Speaker 2: Bloomberg Radio. My extra special guest this week is Heather Bouche. 5 00:00:26,160 --> 00:00:29,160 Speaker 2: She is a senior research fellow at the Harvard Kennon 6 00:00:29,280 --> 00:00:34,800 Speaker 2: School working on the Reimagining the Economy project. Previously, she 7 00:00:35,000 --> 00:00:39,639 Speaker 2: co founded the Washington Center for Equable Growth in twenty thirteen. 8 00:00:40,240 --> 00:00:44,040 Speaker 2: She has been an economist for the Joint Economic Committee 9 00:00:44,080 --> 00:00:47,760 Speaker 2: of the US Congress and on the Council of Economic 10 00:00:47,800 --> 00:00:52,080 Speaker 2: Advisors for President Biden. She became Chief Economists to the 11 00:00:52,120 --> 00:00:57,640 Speaker 2: President's invest In America Cabinet. Politico twice named her one 12 00:00:57,680 --> 00:01:03,400 Speaker 2: of the top fifty thinkers Doers in Visions Transforming American Politics. 13 00:01:03,760 --> 00:01:08,959 Speaker 2: Our most recent book is Unbound, How Economic inequality constricts 14 00:01:08,959 --> 00:01:11,960 Speaker 2: our economy and what we can do about it. Heather Bouchet, 15 00:01:12,480 --> 00:01:13,920 Speaker 2: Welcome to Bloomberg. 16 00:01:14,319 --> 00:01:14,680 Speaker 1: Thank you. 17 00:01:14,720 --> 00:01:16,520 Speaker 3: It's a real pleasure to be here with you today. 18 00:01:16,600 --> 00:01:18,480 Speaker 2: It's a pleasure to have you here. Let's start a 19 00:01:18,520 --> 00:01:23,000 Speaker 2: little bit with your background. BA in economics from Hampshire College, 20 00:01:23,040 --> 00:01:26,480 Speaker 2: then a PhD from the New School, also in economics. 21 00:01:26,800 --> 00:01:28,400 Speaker 2: What was the original career plan? 22 00:01:29,080 --> 00:01:33,520 Speaker 3: Oh well, I actually wanted to be an economist and 23 00:01:33,760 --> 00:01:35,920 Speaker 3: run a thing tank someday and get to do things 24 00:01:35,959 --> 00:01:40,720 Speaker 3: like this. I grew up in the Pacific Northwest in 25 00:01:40,760 --> 00:01:42,040 Speaker 3: a place called Michael Teale. 26 00:01:41,840 --> 00:01:44,319 Speaker 2: Washington, Seattle, near Seattle, near. 27 00:01:44,240 --> 00:01:48,480 Speaker 3: Seattle, it's north, It's right next to Everett, Washington. My 28 00:01:48,640 --> 00:01:52,760 Speaker 3: dad worked at the big Everett Boeing plant where when 29 00:01:52,800 --> 00:01:54,480 Speaker 3: I was a kid they made the seven forty sevens. 30 00:01:54,520 --> 00:01:56,080 Speaker 3: When I was a kid, it was the largest land 31 00:01:56,080 --> 00:01:58,640 Speaker 3: mass building in the world, has now been overtaken by 32 00:01:58,640 --> 00:02:03,920 Speaker 3: the Tesla gigafactory. And in the early eighties, you know, 33 00:02:03,920 --> 00:02:05,680 Speaker 3: I lived in a community with a bunch of cul 34 00:02:05,720 --> 00:02:08,280 Speaker 3: de sacs. All new houses had basically been built for 35 00:02:08,320 --> 00:02:12,960 Speaker 3: the workers and for the families of Boeing. And in 36 00:02:13,000 --> 00:02:15,840 Speaker 3: the early eighties, every kid at my bus stop had 37 00:02:15,919 --> 00:02:18,240 Speaker 3: one or two parents that were pink slipped. They'd been 38 00:02:18,320 --> 00:02:21,040 Speaker 3: laid off. Is the early eighties what I know now 39 00:02:21,080 --> 00:02:24,080 Speaker 3: to be the Volca Recession, And at the time I 40 00:02:24,200 --> 00:02:27,880 Speaker 3: was really just struck by how much power this company 41 00:02:27,919 --> 00:02:30,160 Speaker 3: had over my life and the lives of my friends, 42 00:02:30,400 --> 00:02:33,519 Speaker 3: and you know, I was really good at math, and 43 00:02:33,919 --> 00:02:36,560 Speaker 3: over time I realized that economics was the field that 44 00:02:36,680 --> 00:02:39,679 Speaker 3: was supposed to have answers to questions like how is 45 00:02:39,720 --> 00:02:42,560 Speaker 3: it that you know you can have that economic security 46 00:02:42,600 --> 00:02:46,080 Speaker 3: that I as a kid wanted and wanted for my family. 47 00:02:45,880 --> 00:02:50,120 Speaker 2: So formative years as a kid watching what the company town, 48 00:02:51,120 --> 00:02:54,400 Speaker 2: how it progressed when layoffs came. Is that what led 49 00:02:54,440 --> 00:02:57,960 Speaker 2: your focus to the intersection of economic growth and inequality? 50 00:02:58,440 --> 00:03:01,360 Speaker 3: Probably? I think the question that I have asked my 51 00:03:01,560 --> 00:03:06,480 Speaker 3: entire career is what creates that opportunity for economic security 52 00:03:06,520 --> 00:03:09,240 Speaker 3: for America's middle class? How do you make America's middle 53 00:03:09,240 --> 00:03:12,080 Speaker 3: class grow and thrive? And what stands in the way? 54 00:03:12,320 --> 00:03:14,680 Speaker 3: And so I've spent a lot of time thinking about 55 00:03:14,720 --> 00:03:19,239 Speaker 3: government policy, thinking about, you know, how we can encourage 56 00:03:19,280 --> 00:03:22,240 Speaker 3: firms to create those good middle class jobs, what government 57 00:03:22,280 --> 00:03:24,440 Speaker 3: needs to do when those jobs aren't available, or when 58 00:03:24,440 --> 00:03:27,880 Speaker 3: those jobs don't provide childcare or unemployment benefits or whatever 59 00:03:27,880 --> 00:03:28,959 Speaker 3: it is that families need. 60 00:03:29,400 --> 00:03:32,800 Speaker 2: So it's such a partisan era these days. When you 61 00:03:32,880 --> 00:03:37,560 Speaker 2: were working on the as an economist for the Joint 62 00:03:37,560 --> 00:03:42,000 Speaker 2: Economic Committee of US Congress, was it that partisan or 63 00:03:42,040 --> 00:03:45,720 Speaker 2: was there some cooperation? Hey, we all have the same goals, 64 00:03:45,760 --> 00:03:48,880 Speaker 2: we just different our means of getting there. What was it, 65 00:03:49,040 --> 00:03:50,680 Speaker 2: What years were that, What was it like when you 66 00:03:50,720 --> 00:03:51,160 Speaker 2: work there? 67 00:03:51,200 --> 00:03:54,560 Speaker 3: So I was there in two thousand and eight, two 68 00:03:54,600 --> 00:03:56,920 Speaker 3: thousand and seven into two thousand and eight, and so 69 00:03:57,320 --> 00:03:59,960 Speaker 3: it was, you know, the financial crisis, and there was 70 00:04:00,480 --> 00:04:04,320 Speaker 3: not a lot of partisan happiness. You know that in 71 00:04:04,320 --> 00:04:07,840 Speaker 3: those years on the hill. I will say over my career, 72 00:04:08,120 --> 00:04:11,760 Speaker 3: I've testified over three dozen times for Congress and the 73 00:04:11,960 --> 00:04:13,720 Speaker 3: you know, early on in my career I felt like 74 00:04:13,760 --> 00:04:16,240 Speaker 3: people on both sides of the isle were much more polite, 75 00:04:16,839 --> 00:04:19,560 Speaker 3: much more cognizant of the fact that you know, as 76 00:04:19,560 --> 00:04:21,800 Speaker 3: someone who's a researcher and you show up and you've 77 00:04:22,080 --> 00:04:24,600 Speaker 3: you've spent all week preparing this testimony, and you're ready 78 00:04:24,600 --> 00:04:27,640 Speaker 3: to ask questions. But you're doing this, you're volunteering your time, 79 00:04:27,800 --> 00:04:30,240 Speaker 3: you're not being subpoened. You're just there to share information, 80 00:04:30,680 --> 00:04:33,080 Speaker 3: and people on both sides of the aisle would generally 81 00:04:33,120 --> 00:04:36,760 Speaker 3: be respectful of that. And I definitely have noted over 82 00:04:36,880 --> 00:04:40,480 Speaker 3: time that people on the other side of the aisle 83 00:04:40,520 --> 00:04:43,200 Speaker 3: now are are are less likely to be polite to 84 00:04:43,279 --> 00:04:45,280 Speaker 3: me when I'm testifying. I mean, I haven't testified a 85 00:04:45,360 --> 00:04:47,560 Speaker 3: number of years, but I've seen that over my career, 86 00:04:47,600 --> 00:04:51,159 Speaker 3: so that partisanship has really drilled down into how we 87 00:04:51,240 --> 00:04:54,600 Speaker 3: treat experts and people who are volunteering, people who are 88 00:04:54,640 --> 00:04:57,360 Speaker 3: just sharing information, and that, you know, is just one 89 00:04:57,360 --> 00:04:59,719 Speaker 3: of the many indications in our society of how partisan 90 00:04:59,760 --> 00:05:00,000 Speaker 3: it is. 91 00:05:00,160 --> 00:05:02,400 Speaker 2: So a lot of us in them, a lot of tribalism. 92 00:05:03,000 --> 00:05:06,000 Speaker 2: Let's talk about when you were on the Council of 93 00:05:06,040 --> 00:05:10,400 Speaker 2: Economic Advisors in the last administration. What sort of work 94 00:05:10,400 --> 00:05:11,719 Speaker 2: did you do? What was that like? 95 00:05:12,480 --> 00:05:17,880 Speaker 3: Well, it was very exciting. I joined Joe Biden during 96 00:05:17,920 --> 00:05:21,919 Speaker 3: his campaign in March of twenty twenty. I started advising him. 97 00:05:22,360 --> 00:05:26,680 Speaker 2: And strictly economic and policy analysis. 98 00:05:26,200 --> 00:05:29,360 Speaker 3: Strictly economic and what do we do about COVID and 99 00:05:29,440 --> 00:05:31,400 Speaker 3: what do we do about the economic recovery? And how 100 00:05:31,400 --> 00:05:35,240 Speaker 3: do we think about the economic agenda. I had advised 101 00:05:35,279 --> 00:05:37,920 Speaker 3: Hillary Clinton as an economic adviser. I was a chief 102 00:05:37,920 --> 00:05:40,800 Speaker 3: economist for her transition in twenty sixteen, so I had 103 00:05:40,839 --> 00:05:44,919 Speaker 3: some experience in that role when I started helping the 104 00:05:44,920 --> 00:05:50,160 Speaker 3: Biden campaign. But after he was elected he announced his 105 00:05:50,240 --> 00:05:52,960 Speaker 3: ECON team. It was a second group of announced hires 106 00:05:53,000 --> 00:05:57,719 Speaker 3: that he made, and you know, immediately we were announced 107 00:05:57,760 --> 00:06:00,400 Speaker 3: in early December, and the first question that we had 108 00:06:00,400 --> 00:06:02,800 Speaker 3: to deal with was what do we do about COVID, 109 00:06:02,880 --> 00:06:04,839 Speaker 3: What do we do about the recession? How do we 110 00:06:04,839 --> 00:06:07,160 Speaker 3: get people you know, back to school and work. How 111 00:06:07,160 --> 00:06:09,320 Speaker 3: do we make sure everyone is safe but can get 112 00:06:09,360 --> 00:06:13,000 Speaker 3: the economy back on track? And you know, the President 113 00:06:13,160 --> 00:06:16,599 Speaker 3: had said, you know, throughout the campaign that he didn't 114 00:06:16,600 --> 00:06:19,320 Speaker 3: want to just build back from the pandemic, but that 115 00:06:19,400 --> 00:06:21,640 Speaker 3: he wanted to build back better and had this really 116 00:06:21,760 --> 00:06:24,960 Speaker 3: robust economic agenda, and so when we started out at 117 00:06:24,960 --> 00:06:27,520 Speaker 3: the Council of Economic Advisors, we were thinking a lot 118 00:06:27,600 --> 00:06:30,640 Speaker 3: about we will there be a new variant to the virus? 119 00:06:30,720 --> 00:06:32,719 Speaker 3: What will that mean for the economy, How does that 120 00:06:32,760 --> 00:06:37,360 Speaker 3: affect global supply chains, How does school reopenings affect you know, 121 00:06:37,520 --> 00:06:39,840 Speaker 3: labor supply. So a bunch of questions we're within about there. 122 00:06:40,200 --> 00:06:43,080 Speaker 3: And then we also did a lot of work thinking about, well, 123 00:06:43,080 --> 00:06:45,840 Speaker 3: what does what do all these pieces of build back 124 00:06:45,880 --> 00:06:48,960 Speaker 3: better mean? How do we craft a set of economic 125 00:06:49,000 --> 00:06:53,560 Speaker 3: policies that can support and grow America's middle class. That's 126 00:06:53,800 --> 00:06:56,799 Speaker 3: Joe Biden's north star, It's what he wanted his economic 127 00:06:57,760 --> 00:07:00,600 Speaker 3: agenda to really focus on how how do we do that, 128 00:07:00,720 --> 00:07:04,039 Speaker 3: How do we help people understand how all the pieces 129 00:07:04,080 --> 00:07:06,479 Speaker 3: of that agenda fit together. So that's what That's a 130 00:07:06,520 --> 00:07:09,320 Speaker 3: lot of what we did, and quite frankly, a lot 131 00:07:09,320 --> 00:07:12,520 Speaker 3: of what the Council of Economic Advisors does is help 132 00:07:12,520 --> 00:07:16,480 Speaker 3: people understand the data. So anytime there's an economic data release, 133 00:07:16,920 --> 00:07:20,080 Speaker 3: we were there writing a memo for the president, you know, 134 00:07:20,120 --> 00:07:22,240 Speaker 3: getting on television, talking to the you know folks on 135 00:07:22,240 --> 00:07:24,960 Speaker 3: the radio and podcasters like this is what those numbers mean, 136 00:07:25,040 --> 00:07:27,600 Speaker 3: this is this is how to explain the economy and 137 00:07:28,200 --> 00:07:29,400 Speaker 3: what's going on around us. 138 00:07:29,600 --> 00:07:33,800 Speaker 2: So we'll hold off on the current administration for a while. 139 00:07:34,040 --> 00:07:37,360 Speaker 2: I want to talk about let's talk about COVID for 140 00:07:37,400 --> 00:07:41,840 Speaker 2: a minute. So here we are, we're recording this at 141 00:07:41,840 --> 00:07:44,800 Speaker 2: the end of the summer in twenty twenty five. You 142 00:07:44,920 --> 00:07:48,640 Speaker 2: started mapping out a plan for COVID just about five 143 00:07:48,760 --> 00:07:52,760 Speaker 2: years ago. Here we are, it's five years later. Something 144 00:07:52,840 --> 00:07:55,280 Speaker 2: seem to have worked out, Well, something's not as much. 145 00:07:55,360 --> 00:07:58,760 Speaker 2: We still see lots and lots of people not returning 146 00:07:58,760 --> 00:08:01,840 Speaker 2: to office. There are a lot of people will been dislocated. 147 00:08:02,440 --> 00:08:06,120 Speaker 2: The pandemic very much revealed a lot of stress fractures 148 00:08:06,480 --> 00:08:09,640 Speaker 2: in society, But give yourself a grade. What what did 149 00:08:09,680 --> 00:08:14,400 Speaker 2: you do well in the response to the pandemic and 150 00:08:14,640 --> 00:08:17,960 Speaker 2: where do you wish policy had been more robust or 151 00:08:18,000 --> 00:08:18,920 Speaker 2: more successful? 152 00:08:19,400 --> 00:08:22,920 Speaker 3: What a great question. So I think first off, you 153 00:08:23,000 --> 00:08:27,280 Speaker 3: have to remember that when Joe Biden took office, you know, 154 00:08:27,480 --> 00:08:30,440 Speaker 3: Americans didn't have access to the vaccine yet, and so 155 00:08:30,560 --> 00:08:33,360 Speaker 3: the very first thing that we had to do was 156 00:08:33,400 --> 00:08:35,760 Speaker 3: to get those shots in arms. The vaccine was available, 157 00:08:35,800 --> 00:08:37,439 Speaker 3: it was ready to go, but had to make sure 158 00:08:37,440 --> 00:08:40,360 Speaker 3: that it was distributed and distributed as quickly as possible, 159 00:08:40,400 --> 00:08:43,000 Speaker 3: and that people got those two rounds of shots so 160 00:08:43,080 --> 00:08:44,920 Speaker 3: that you know, we could get things, you know, start 161 00:08:44,960 --> 00:08:46,640 Speaker 3: to get people back in school and work and all 162 00:08:46,640 --> 00:08:49,720 Speaker 3: the different things. And you also have to remember that 163 00:08:50,840 --> 00:08:55,160 Speaker 3: what a what a bizarre start to a presidency. For sure, 164 00:08:55,360 --> 00:08:59,439 Speaker 3: like we were remote, right, you had all of these 165 00:08:59,480 --> 00:09:03,240 Speaker 3: workers who you know, were telecommuting, you didn't have you 166 00:09:03,240 --> 00:09:05,840 Speaker 3: didn't have any inauguration parties, there were no you know, 167 00:09:05,880 --> 00:09:07,960 Speaker 3: you didn't have any of the normal trappings of a 168 00:09:08,000 --> 00:09:12,080 Speaker 3: new administration and all these people coming in who we 169 00:09:12,200 --> 00:09:14,760 Speaker 3: had to do all of that while also dealing with 170 00:09:14,760 --> 00:09:17,120 Speaker 3: the pandemic internally and then making sure that the President, 171 00:09:17,240 --> 00:09:21,040 Speaker 3: the senior advisors, and the cabinet officials themselves didn't get sick. So, 172 00:09:22,120 --> 00:09:24,079 Speaker 3: you know, when I look back, those first few months 173 00:09:24,080 --> 00:09:27,679 Speaker 3: were so courageous and incredible, and you know, I look 174 00:09:27,679 --> 00:09:30,480 Speaker 3: at what my colleagues across the administration did to get 175 00:09:30,480 --> 00:09:34,000 Speaker 3: those shots and arms, to get schools reopened, to get 176 00:09:34,720 --> 00:09:38,240 Speaker 3: you know, all the support that folks needed, and on 177 00:09:38,320 --> 00:09:41,680 Speaker 3: top of that, to have passed this really important historical legislation, 178 00:09:41,760 --> 00:09:44,920 Speaker 3: the American Rescue Plan, that gave all of the support 179 00:09:45,120 --> 00:09:48,320 Speaker 3: to communities all across the country to make sure that 180 00:09:48,360 --> 00:09:51,600 Speaker 3: there were enough resources to weather any future variants that 181 00:09:51,640 --> 00:09:54,240 Speaker 3: we could imagine over the you know, the next couple 182 00:09:54,240 --> 00:09:54,679 Speaker 3: of years. 183 00:09:54,760 --> 00:09:59,880 Speaker 2: I vividly recall getting my first shot at the Javits 184 00:10:00,480 --> 00:10:03,920 Speaker 2: in Manhattan. Wow, which was crazy because it was set 185 00:10:04,000 --> 00:10:06,720 Speaker 2: up with military precision. I don't know if it was 186 00:10:06,720 --> 00:10:09,880 Speaker 2: the Army or the National Guard, but there were literally 187 00:10:10,120 --> 00:10:13,560 Speaker 2: military troops just running it like it was a military operation. 188 00:10:14,160 --> 00:10:18,679 Speaker 2: Incredibly effective and incredibly efficient. They must have processed tens 189 00:10:18,679 --> 00:10:23,680 Speaker 2: of thousands of people a day. That was like, oh, 190 00:10:23,720 --> 00:10:27,160 Speaker 2: so someone's on top of this. It felt like someone 191 00:10:27,200 --> 00:10:29,719 Speaker 2: really had been very proactive and had thought this. 192 00:10:29,800 --> 00:10:32,040 Speaker 3: Through well, and that is what that is what folks 193 00:10:32,080 --> 00:10:34,400 Speaker 3: were spending all of their time. You know, initially, let's 194 00:10:34,480 --> 00:10:37,959 Speaker 3: let's make that happen. But then after that you still 195 00:10:38,000 --> 00:10:40,600 Speaker 3: had all of this recovery. And I think if you 196 00:10:40,640 --> 00:10:43,240 Speaker 3: think back to before Biden took office, you know, to 197 00:10:43,320 --> 00:10:46,160 Speaker 3: twenty twenty, when the pandemic was happening, and we were 198 00:10:46,200 --> 00:10:48,880 Speaker 3: talking about what it meant to shut the economy down, 199 00:10:49,240 --> 00:10:51,440 Speaker 3: and there were some economists. I always tried to be 200 00:10:51,520 --> 00:10:53,680 Speaker 3: very careful in my language about this that you know, 201 00:10:53,720 --> 00:10:56,360 Speaker 3: what kind of recession we were having, right. You know, 202 00:10:56,400 --> 00:10:58,800 Speaker 3: you saw, you know, at the beginning of the pandemic, 203 00:10:58,800 --> 00:11:01,600 Speaker 3: things shut down, unemployed spikes, and it was like, well, bit, 204 00:11:01,679 --> 00:11:06,000 Speaker 3: unemployment was spiking because we needed people to take that 205 00:11:06,040 --> 00:11:10,000 Speaker 3: step back, right, And that's a different kind of recession, 206 00:11:10,360 --> 00:11:13,199 Speaker 3: And as you noted, it uncovered all of these fragilities. 207 00:11:13,840 --> 00:11:17,680 Speaker 3: You know, over the preceding decades, we have allowed, we 208 00:11:17,720 --> 00:11:21,520 Speaker 3: have enabled private actors to create these very complex global 209 00:11:21,520 --> 00:11:26,319 Speaker 3: supply chains really focused on just in time production and 210 00:11:26,480 --> 00:11:31,280 Speaker 3: not building in resiliency or you know, duplicity like having 211 00:11:31,360 --> 00:11:34,040 Speaker 3: you know, multiple suppliers for a single good. No, let's 212 00:11:34,080 --> 00:11:36,320 Speaker 3: make sure that it's it's the most efficient, but not 213 00:11:36,440 --> 00:11:39,599 Speaker 3: thinking about what happens when stuff goes wrong. And you know, 214 00:11:39,720 --> 00:11:41,520 Speaker 3: so our first couple of years in the White House, 215 00:11:41,520 --> 00:11:44,920 Speaker 3: we're all about, oh, there's another thing that doesn't work anymore, 216 00:11:44,960 --> 00:11:49,280 Speaker 3: there's another thing where after the pandemic, businesses could just 217 00:11:49,440 --> 00:11:51,280 Speaker 3: not get back up on their feet. And so a 218 00:11:51,280 --> 00:11:53,720 Speaker 3: lot of the resources for the American Rescue Plan were 219 00:11:53,720 --> 00:11:58,360 Speaker 3: about helping small businesses, communities, schools, all these different entities 220 00:11:58,400 --> 00:12:02,200 Speaker 3: get back up on their feet. And as we were uncovering, 221 00:12:02,360 --> 00:12:04,560 Speaker 3: and it really did feel like a not a whack 222 00:12:04,600 --> 00:12:06,760 Speaker 3: a mole because we weren't whacking things down, but like, 223 00:12:07,240 --> 00:12:09,800 Speaker 3: you know, a pop up of all of these different 224 00:12:10,000 --> 00:12:14,439 Speaker 3: challenges that emerged, you were realizing. I mean, I come 225 00:12:14,440 --> 00:12:19,560 Speaker 3: out of that experience understanding how important it is to 226 00:12:19,600 --> 00:12:23,560 Speaker 3: have competent, dedicated public servants who are getting up every 227 00:12:23,640 --> 00:12:25,800 Speaker 3: day saying that is a problem we need to solve. 228 00:12:25,880 --> 00:12:27,680 Speaker 3: That's when we maybe don't need to solve, but these 229 00:12:27,679 --> 00:12:31,040 Speaker 3: are things that can affect American lives, American communities, American 230 00:12:31,040 --> 00:12:36,080 Speaker 3: health saved the economy, and just how important that leadership is. 231 00:12:36,520 --> 00:12:40,040 Speaker 3: So in terms of lessons learned, the pandemic really showed 232 00:12:40,080 --> 00:12:44,320 Speaker 3: that you need good governance because in an emergency, that's 233 00:12:44,320 --> 00:12:46,680 Speaker 3: what's going to that is what's going to make the difference. 234 00:12:46,760 --> 00:12:49,960 Speaker 3: And so the military precision of getting shots and arms that, 235 00:12:50,400 --> 00:12:52,760 Speaker 3: you know, thinking through all the different pieces of the policy, 236 00:12:52,840 --> 00:12:55,720 Speaker 3: I think a lot about how we saved so many 237 00:12:55,760 --> 00:13:00,199 Speaker 3: small businesses in America, particularly care businesses, childcare centers, long 238 00:13:00,280 --> 00:13:03,320 Speaker 3: term care facilities. Gave them an infusion of funds to 239 00:13:03,360 --> 00:13:06,400 Speaker 3: help them keep going through the pandemic, and that meant 240 00:13:06,400 --> 00:13:08,560 Speaker 3: that other people could then get back to work. You 241 00:13:08,600 --> 00:13:11,880 Speaker 3: talk about, you know, people not necessarily all coming back 242 00:13:11,920 --> 00:13:13,480 Speaker 3: to office. We have seen that as a trend in 243 00:13:13,520 --> 00:13:16,080 Speaker 3: the labor market for some families that may be really 244 00:13:16,080 --> 00:13:19,880 Speaker 3: helpful for addressing their care challenges. But one of the 245 00:13:19,920 --> 00:13:22,800 Speaker 3: things that really helped millions of people get back to 246 00:13:22,840 --> 00:13:25,920 Speaker 3: work was the federal government stepping in and helping them 247 00:13:25,960 --> 00:13:28,840 Speaker 3: deal with their care crisis because their childcare center wasn't open, 248 00:13:29,080 --> 00:13:31,320 Speaker 3: and oh, well we can solve that problem. That helps 249 00:13:31,559 --> 00:13:35,120 Speaker 3: that employee come to know Bloomberg every day. So those 250 00:13:35,400 --> 00:13:39,600 Speaker 3: those were really big, I think, because I know you'll 251 00:13:39,640 --> 00:13:41,120 Speaker 3: ask about it next, so I just want to get 252 00:13:41,160 --> 00:13:44,239 Speaker 3: to this. Of course, you know, One of the challenges 253 00:13:44,600 --> 00:13:47,040 Speaker 3: was that that period led to the highest inflation that 254 00:13:47,080 --> 00:13:49,400 Speaker 3: we've seen in the United States since the nineteen seventies. 255 00:13:49,800 --> 00:13:52,280 Speaker 3: You inflation, anybody under the age of forty had never 256 00:13:52,360 --> 00:13:54,840 Speaker 3: seen that kind of inflation before. 257 00:13:54,559 --> 00:13:57,760 Speaker 2: We get to an inforcation because I think people don't 258 00:13:57,840 --> 00:14:02,960 Speaker 2: understand you either had to cheer use high inflation or 259 00:14:03,040 --> 00:14:09,560 Speaker 2: high persistent unemployment. And as unpleasant a choice that is, 260 00:14:11,040 --> 00:14:14,320 Speaker 2: I think most people would prefer high inflation to not 261 00:14:14,480 --> 00:14:18,000 Speaker 2: having a job. And so that was the sophie's choice 262 00:14:18,000 --> 00:14:20,760 Speaker 2: that was made. And by the way, it wasn't any 263 00:14:20,840 --> 00:14:23,440 Speaker 2: one thing. It was lots and lots of things, including 264 00:14:24,040 --> 00:14:26,960 Speaker 2: you know, the biggest fiscal stimulus since World War Two 265 00:14:27,080 --> 00:14:32,160 Speaker 2: under the previous president, the first president Trump term. But 266 00:14:32,320 --> 00:14:36,320 Speaker 2: then there were a lot of other factors, including legislation 267 00:14:36,400 --> 00:14:39,040 Speaker 2: on the Biden administration. What I want to ask about 268 00:14:39,160 --> 00:14:43,920 Speaker 2: is getting the shots out that was a huge gain. 269 00:14:44,040 --> 00:14:47,560 Speaker 2: Making sure that a lot of the economy began to 270 00:14:47,600 --> 00:14:51,440 Speaker 2: reopen was important. But with the benefit of hindsight, what 271 00:14:51,520 --> 00:14:55,040 Speaker 2: do you think were missed opportunities, What didn't get a 272 00:14:55,120 --> 00:14:59,600 Speaker 2: high score? What communication failures were there that could have 273 00:14:59,720 --> 00:15:02,880 Speaker 2: been handled better? And again, a lot of this is 274 00:15:02,920 --> 00:15:04,760 Speaker 2: twenty twenty hindsight, it's. 275 00:15:04,640 --> 00:15:09,280 Speaker 3: A lot of I think that helping people understand the 276 00:15:09,400 --> 00:15:15,360 Speaker 3: role that the fragility of supply chains played in the 277 00:15:15,480 --> 00:15:20,920 Speaker 3: challenges of getting goods to their local supermarket or their 278 00:15:20,960 --> 00:15:24,760 Speaker 3: local store that was affecting inflation, I don't think we 279 00:15:24,840 --> 00:15:30,160 Speaker 3: did a good enough job helping people understand all the 280 00:15:30,160 --> 00:15:34,120 Speaker 3: things that the pandemic had uncovered. Right, So, and I 281 00:15:34,160 --> 00:15:36,040 Speaker 3: want to step back just one because one thing that 282 00:15:36,120 --> 00:15:38,240 Speaker 3: always struck me at the beginning of the pandemic, and 283 00:15:38,240 --> 00:15:40,120 Speaker 3: we were all like, what is this going to look like? 284 00:15:40,680 --> 00:15:43,840 Speaker 3: And you know, I had heard, of course about the flu, 285 00:15:44,200 --> 00:15:46,520 Speaker 3: the Spanish flu, like sort of back in my mind, 286 00:15:46,600 --> 00:15:48,760 Speaker 3: I had never read anything about, you know what that 287 00:15:48,800 --> 00:15:51,040 Speaker 3: had happened in you know, in the teen, back in 288 00:15:51,080 --> 00:15:55,080 Speaker 3: the nineteen teen, nineteen eighteen. And you know, one thing 289 00:15:55,080 --> 00:15:58,400 Speaker 3: though that I had learned during the pandemic was that 290 00:15:58,400 --> 00:16:02,600 Speaker 3: that huge pandemic had happened, and then it was like 291 00:16:03,160 --> 00:16:05,960 Speaker 3: nobody wrote about it. You know, this the Spanish flu 292 00:16:06,040 --> 00:16:07,720 Speaker 3: was like oh, this thing, this thing happened, and then 293 00:16:07,760 --> 00:16:09,680 Speaker 3: it just it was like people wanted to forget it. 294 00:16:10,400 --> 00:16:12,040 Speaker 3: And I feel that there was a little bit as 295 00:16:12,080 --> 00:16:14,640 Speaker 3: we were going through the pandemic. People were so traumatized 296 00:16:14,680 --> 00:16:19,560 Speaker 3: that the idea that it was uncovering how our economic 297 00:16:19,640 --> 00:16:23,520 Speaker 3: system was so fragile also got a little bit. I 298 00:16:23,520 --> 00:16:25,480 Speaker 3: feel like people kind of wanted to paper over that 299 00:16:25,520 --> 00:16:27,560 Speaker 3: and just move past its. We just everyone to get 300 00:16:27,600 --> 00:16:31,160 Speaker 3: back to normal without kind of wanting to stop and say, actually, 301 00:16:31,640 --> 00:16:35,480 Speaker 3: the way that we're doing American business just isn't working. 302 00:16:35,920 --> 00:16:38,440 Speaker 3: And I think a lot about like semiconductors, for example. 303 00:16:39,360 --> 00:16:40,760 Speaker 3: You know, I think we all learned a lot about 304 00:16:40,760 --> 00:16:43,640 Speaker 3: semiconductors during the pandemic because all of a sudden we 305 00:16:43,680 --> 00:16:47,760 Speaker 3: couldn't get them right. The global semic conductor shortage affected 306 00:16:48,160 --> 00:16:50,800 Speaker 3: every you know, all of us. Right A factory closes 307 00:16:50,840 --> 00:16:53,840 Speaker 3: in Malaysia or in Taiwan, and then all of a sudden, 308 00:16:53,840 --> 00:16:57,520 Speaker 3: you can't buy something or prices are going up. So 309 00:16:57,720 --> 00:17:01,800 Speaker 3: that how we talk about and how we communicate that, 310 00:17:01,880 --> 00:17:05,080 Speaker 3: I think was something that was really hard to do 311 00:17:05,160 --> 00:17:07,600 Speaker 3: amidst the health crisis. And so if I were to, 312 00:17:07,680 --> 00:17:09,760 Speaker 3: you know, kind of wave a magic wand and go 313 00:17:09,840 --> 00:17:12,840 Speaker 3: back in time, I think I would try to. I 314 00:17:12,840 --> 00:17:14,479 Speaker 3: would want to figure out how we could spend more 315 00:17:14,520 --> 00:17:18,280 Speaker 3: time helping people understand those fragilities that we were uncovering, 316 00:17:19,040 --> 00:17:21,080 Speaker 3: which was hard because people were so wrapped up in 317 00:17:21,119 --> 00:17:23,720 Speaker 3: the consequences of it, which was high prices that they 318 00:17:23,720 --> 00:17:26,880 Speaker 3: were seeing at the store and which were being blamed 319 00:17:26,920 --> 00:17:30,080 Speaker 3: on the simplest explanation, which was all obviously government spent 320 00:17:30,119 --> 00:17:33,000 Speaker 3: too much. That kind of fits into our everyday narratives, 321 00:17:33,280 --> 00:17:35,480 Speaker 3: when yet when you uncovered it was like no, actually, 322 00:17:35,520 --> 00:17:37,520 Speaker 3: it was because of the fragility of these supply chains 323 00:17:37,560 --> 00:17:40,320 Speaker 3: and the decisions that all of these businesses have been 324 00:17:40,320 --> 00:17:42,960 Speaker 3: making for decades, and we need to hold them accountable. 325 00:17:42,960 --> 00:17:45,480 Speaker 3: We need to ask businesses to be more resilient, and 326 00:17:45,520 --> 00:17:48,640 Speaker 3: that's going to require rethinking our economy. That's a big 327 00:17:48,680 --> 00:17:52,159 Speaker 3: structural change that you know, the Biden administration really started 328 00:17:52,160 --> 00:17:56,679 Speaker 3: to push that. How people understood that, and did we 329 00:17:56,720 --> 00:17:58,720 Speaker 3: do a good enough job talking about that? I think 330 00:17:58,720 --> 00:18:00,680 Speaker 3: that's something that I wish we had done better. 331 00:18:00,960 --> 00:18:04,679 Speaker 2: Let's do it. Talk about another communication issue, which is 332 00:18:05,760 --> 00:18:08,480 Speaker 2: the pushback to vaccines. And I was always kind of 333 00:18:08,520 --> 00:18:13,560 Speaker 2: surprised by not just the Trump administration, but by Trump himself, 334 00:18:14,040 --> 00:18:18,159 Speaker 2: who deserves a lot of credit for Operation Warp Speed, 335 00:18:19,600 --> 00:18:22,600 Speaker 2: and yet of all the things he takes credit for 336 00:18:22,760 --> 00:18:26,720 Speaker 2: he kind of let that slide. Could we have communicated 337 00:18:27,080 --> 00:18:30,520 Speaker 2: better that, Hey, we didn't just create these vaccines overnight. 338 00:18:30,600 --> 00:18:34,320 Speaker 2: This has been ten years in the making, and it's safer, 339 00:18:34,600 --> 00:18:38,119 Speaker 2: especially for people at risk over pick a number, fifty 340 00:18:38,200 --> 00:18:42,840 Speaker 2: sixty seventy than not having it. I'm curious as to 341 00:18:42,880 --> 00:18:45,800 Speaker 2: your thoughts about communication around that. There have been a 342 00:18:45,840 --> 00:18:50,200 Speaker 2: lot of pushback about closing schools, and as it turns out, 343 00:18:50,320 --> 00:18:53,200 Speaker 2: kids are fairly safe relative to COVID, it doesn't seem 344 00:18:53,240 --> 00:18:56,639 Speaker 2: to have the same impact on them. Should should we 345 00:18:56,680 --> 00:19:00,639 Speaker 2: have left schools open? Should we have tried different things? Communicated? 346 00:19:00,760 --> 00:19:02,080 Speaker 2: How do you how do you look at those two 347 00:19:02,080 --> 00:19:03,040 Speaker 2: areas well? 348 00:19:03,080 --> 00:19:08,879 Speaker 3: I think fundamental to those questions are we hadn't had 349 00:19:08,920 --> 00:19:13,480 Speaker 3: a pandemic in a long time century, right, We didn't 350 00:19:13,480 --> 00:19:17,000 Speaker 3: know how bad it would get, and you had this 351 00:19:17,000 --> 00:19:22,520 Speaker 3: this we were in a moment were already America had 352 00:19:22,560 --> 00:19:27,080 Speaker 3: become a lower trust environment. Right, People had less trust 353 00:19:27,119 --> 00:19:29,840 Speaker 3: in government than they had, you know, decades before, less 354 00:19:29,840 --> 00:19:32,639 Speaker 3: trust in business, less trust and experts. So you're already 355 00:19:32,680 --> 00:19:35,159 Speaker 3: kind of walking into a situation where you're trying to 356 00:19:35,200 --> 00:19:39,159 Speaker 3: explain to people what the health risk is and you 357 00:19:39,600 --> 00:19:43,000 Speaker 3: have to really did we did, did everybody do a 358 00:19:43,000 --> 00:19:45,800 Speaker 3: good enough job thinking about what the trust, how much 359 00:19:45,880 --> 00:19:47,879 Speaker 3: trust the listener was going to have from the get go. 360 00:19:48,359 --> 00:19:50,960 Speaker 3: The problem is that you don't know how it's going 361 00:19:51,040 --> 00:19:52,520 Speaker 3: to turn out. So you want to make sure that 362 00:19:52,600 --> 00:19:56,000 Speaker 3: you are protecting people to the best of your ability, 363 00:19:56,040 --> 00:19:59,760 Speaker 3: but you don't have all the answers and so, you know, 364 00:19:59,800 --> 00:20:02,239 Speaker 3: but saying to people, well, we suggest that you do this, 365 00:20:02,359 --> 00:20:04,080 Speaker 3: but maybe we don't know if that's going to work, 366 00:20:04,240 --> 00:20:06,280 Speaker 3: that doesn't go over very well as a you know, 367 00:20:06,320 --> 00:20:11,639 Speaker 3: in a public health crisis. So part of the way 368 00:20:12,119 --> 00:20:14,960 Speaker 3: that we've seen you know, the vaccines and the school 369 00:20:15,000 --> 00:20:18,040 Speaker 3: closures and all these things play out, is that that 370 00:20:18,200 --> 00:20:21,199 Speaker 3: has further eroded the trust that people have in the 371 00:20:21,200 --> 00:20:24,840 Speaker 3: institutions around them, even as we know that it saved 372 00:20:24,880 --> 00:20:27,399 Speaker 3: you know, millions of millions of lives and millions of 373 00:20:27,400 --> 00:20:29,760 Speaker 3: dollars in healthcare costs because people didn't get sick and 374 00:20:29,840 --> 00:20:32,280 Speaker 3: you know, all the rest for people to be able 375 00:20:32,320 --> 00:20:37,639 Speaker 3: to get the vaccine, and so that was a was 376 00:20:37,680 --> 00:20:40,159 Speaker 3: that a problem we could have fixed amidst the pandemic 377 00:20:40,720 --> 00:20:42,720 Speaker 3: or is this something that we should be kind of 378 00:20:42,760 --> 00:20:46,320 Speaker 3: taking a step back and saying huh, maybe we should 379 00:20:46,359 --> 00:20:50,359 Speaker 3: have been focusing years ago on why is it that 380 00:20:50,720 --> 00:20:54,000 Speaker 3: that trust was eroding? And that leads to something that 381 00:20:54,119 --> 00:20:57,000 Speaker 3: I really want us to really focus on our conversation today. 382 00:20:57,040 --> 00:21:00,439 Speaker 3: Is that really toxic role that inequality has played in 383 00:21:00,480 --> 00:21:02,880 Speaker 3: our economy and our society, which we know is connected 384 00:21:02,920 --> 00:21:05,639 Speaker 3: to this failure of people to trust and particular to 385 00:21:05,640 --> 00:21:10,720 Speaker 3: trust experts, to trust that people are acting in their 386 00:21:10,760 --> 00:21:16,480 Speaker 3: best interest. So Operation Warp Speed. It's incredible achievement of 387 00:21:16,520 --> 00:21:21,679 Speaker 3: the Trump administration, but yet pushed aside because communities all 388 00:21:21,680 --> 00:21:25,960 Speaker 3: of a sudden became I mean, I can't speak for 389 00:21:26,080 --> 00:21:28,880 Speaker 3: how those communities felt, but they became fearful and distrustful 390 00:21:29,400 --> 00:21:32,720 Speaker 3: schools closing, and hear you still continue to hear that 391 00:21:32,800 --> 00:21:35,720 Speaker 3: debate on both sides, some people still frustrated that their 392 00:21:35,760 --> 00:21:38,280 Speaker 3: schools were open, and some people saying, oh, they closed 393 00:21:38,280 --> 00:21:40,200 Speaker 3: for two longs and there's been healthful you know, learning, 394 00:21:40,359 --> 00:21:43,520 Speaker 3: not health losses, but learning losses among children. These are 395 00:21:43,680 --> 00:21:47,200 Speaker 3: really important questions and we should spend time dissecting what 396 00:21:47,240 --> 00:21:50,040 Speaker 3: we know now. But we didn't know. We didn't have 397 00:21:50,080 --> 00:21:51,400 Speaker 3: all the answers at the beginning. 398 00:21:51,720 --> 00:21:55,000 Speaker 2: Last question before we get to wealth and income inequality. 399 00:21:56,200 --> 00:22:00,760 Speaker 2: How did in total the United States do relative to 400 00:22:00,920 --> 00:22:04,760 Speaker 2: other modern democracies, How well do we do compare it 401 00:22:04,760 --> 00:22:05,560 Speaker 2: to other countries. 402 00:22:05,920 --> 00:22:08,520 Speaker 3: We'll focus on the stats that when you ask that question, 403 00:22:08,640 --> 00:22:12,199 Speaker 3: I can see clearlyst clearlest in my head, So I 404 00:22:12,200 --> 00:22:15,480 Speaker 3: can see a couple of charts. So number one, you know, 405 00:22:15,520 --> 00:22:18,879 Speaker 3: we early on had very high death rates relative to 406 00:22:18,920 --> 00:22:21,240 Speaker 3: other countries. You know, it's a proportion of our population. 407 00:22:21,400 --> 00:22:27,240 Speaker 3: So we we were able to turn that around. When 408 00:22:27,240 --> 00:22:32,359 Speaker 3: you look at the economic data, the United States had 409 00:22:32,440 --> 00:22:35,919 Speaker 3: one of the strongest economic recoveries coming had, you know, 410 00:22:35,960 --> 00:22:39,119 Speaker 3: coming out of the pandemic, relative to our economic competitors 411 00:22:39,160 --> 00:22:43,720 Speaker 3: in the other advanced economies on virtually any metric. So, yes, 412 00:22:43,800 --> 00:22:46,920 Speaker 3: the United States saw high prices. We saw inflation go up, 413 00:22:47,359 --> 00:22:50,239 Speaker 3: but the prices didn't go up as high as they 414 00:22:50,240 --> 00:22:53,479 Speaker 3: did in some other advanced economies. And then our prices 415 00:22:53,520 --> 00:22:56,800 Speaker 3: started coming down and you know, look quite good. We 416 00:22:56,840 --> 00:23:01,400 Speaker 3: saw stronger economic growth. We've seen stronger employment. So when 417 00:23:01,440 --> 00:23:04,639 Speaker 3: you look at our ability to take this health crisis, 418 00:23:05,200 --> 00:23:08,560 Speaker 3: to be able to get it under control enough so 419 00:23:08,600 --> 00:23:10,960 Speaker 3: that people could get back to work, so businesses could 420 00:23:10,960 --> 00:23:13,000 Speaker 3: get back up on their feet. So the kids could 421 00:23:13,040 --> 00:23:15,720 Speaker 3: get back up back to school and then have your 422 00:23:15,720 --> 00:23:20,280 Speaker 3: economy get back on track. I mean, even the economist 423 00:23:20,359 --> 00:23:23,199 Speaker 3: and I can't remember exactly what the cover was, the 424 00:23:23,240 --> 00:23:26,200 Speaker 3: exact words were, but it was one of those you know, 425 00:23:26,600 --> 00:23:29,160 Speaker 3: like wow, even the economist has said, you know, we 426 00:23:29,359 --> 00:23:31,280 Speaker 3: really knocked it out of the park in terms of 427 00:23:31,320 --> 00:23:34,080 Speaker 3: the economic performance of the United States coming out of 428 00:23:34,520 --> 00:23:39,120 Speaker 3: what could have been a very deep and long recession, 429 00:23:39,359 --> 00:23:42,520 Speaker 3: kind of like what we saw after the global financial crisis. 430 00:23:43,720 --> 00:23:46,439 Speaker 2: And you know, we difference being huge amount of fiscal 431 00:23:46,480 --> 00:23:47,879 Speaker 2: stimulus versus almost no. 432 00:23:47,920 --> 00:23:51,119 Speaker 3: Physically well and operation warp speed and getting shots and 433 00:23:51,240 --> 00:23:53,280 Speaker 3: arms and all the things that we did to contain 434 00:23:53,320 --> 00:23:53,920 Speaker 3: the pandemic. 435 00:23:54,000 --> 00:23:58,160 Speaker 2: So you talk about the mortality rate, and I've seen 436 00:23:58,200 --> 00:24:04,879 Speaker 2: other people point to a lower vaccination rate. I'm curious 437 00:24:05,200 --> 00:24:09,560 Speaker 2: if some of the European criticism of the United States 438 00:24:09,640 --> 00:24:13,680 Speaker 2: response was, and I've heard some of this from other 439 00:24:13,760 --> 00:24:20,600 Speaker 2: corners of various partisan arguments, a lot of pre existing conditions. 440 00:24:20,640 --> 00:24:24,840 Speaker 2: The United States entered the pandemic with not an especially 441 00:24:24,960 --> 00:24:30,240 Speaker 2: healthy population. How much truth is in that claim. 442 00:24:30,280 --> 00:24:34,760 Speaker 3: Well, I'm not a health expert, but certainly we know 443 00:24:35,000 --> 00:24:41,040 Speaker 3: that the United States population does have higher death rates 444 00:24:41,040 --> 00:24:41,760 Speaker 3: from a lot of. 445 00:24:41,680 --> 00:24:44,200 Speaker 2: You know, preventab. 446 00:24:45,560 --> 00:24:48,160 Speaker 3: So certainly that it doesn't surprise me that people are 447 00:24:48,160 --> 00:24:52,040 Speaker 3: saying that about how we entered the pandemic. And then 448 00:24:52,080 --> 00:24:54,399 Speaker 3: we know, of course that you know, some of the 449 00:24:54,480 --> 00:24:57,119 Speaker 3: after effects of you know, long COVID, and you know 450 00:24:57,200 --> 00:25:00,600 Speaker 3: how that affects people, particularly around some of these how 451 00:25:00,680 --> 00:25:01,920 Speaker 3: this is is important. 452 00:25:02,840 --> 00:25:07,439 Speaker 2: Coming up, we continue our conversation with Heather Bouche, senior 453 00:25:07,480 --> 00:25:12,000 Speaker 2: research fellow at the Harvard Kennedy School, discussing the impact 454 00:25:12,240 --> 00:25:17,640 Speaker 2: of wealth and economic inequality on growth. I'm Barry Ritolts. 455 00:25:17,680 --> 00:25:31,920 Speaker 2: You're listening to Masters of Business on Bloomberg Radio. I'm 456 00:25:31,960 --> 00:25:35,720 Speaker 2: Barry Dults. You're listening to Masters in Business on Bloomberg Radio. 457 00:25:36,160 --> 00:25:39,160 Speaker 2: My extra special guest this week is Heather Bouche. 458 00:25:39,520 --> 00:25:40,000 Speaker 1: She is a. 459 00:25:39,960 --> 00:25:43,080 Speaker 2: Senior fellow at the Harvard Kennedy School. Previously, she was 460 00:25:43,119 --> 00:25:46,520 Speaker 2: an economist for the Joint Economic Committee of US Congress 461 00:25:47,040 --> 00:25:52,119 Speaker 2: and Chief Economists to the Presidents of invest in America's Cabinet. 462 00:25:52,600 --> 00:25:57,080 Speaker 2: So let's talk a little bit about wealth and income inequality. 463 00:25:57,119 --> 00:26:01,000 Speaker 2: And the first question is what is the impact of 464 00:26:01,040 --> 00:26:06,320 Speaker 2: this on sustainable growth? Does wealth and income inequality create 465 00:26:06,359 --> 00:26:10,360 Speaker 2: a drag to faster, more widespread growth. 466 00:26:10,800 --> 00:26:14,040 Speaker 3: That is such a fantastic question, and I feel like 467 00:26:14,080 --> 00:26:16,560 Speaker 3: it's a little bit of a leading question because, as 468 00:26:16,600 --> 00:26:19,680 Speaker 3: you know, I wrote a book on how economic inequality 469 00:26:19,760 --> 00:26:22,640 Speaker 3: constricts our economy and what we can do about it, 470 00:26:22,760 --> 00:26:26,000 Speaker 3: and a number of the scholars that I've looked to 471 00:26:26,000 --> 00:26:28,920 Speaker 3: over time actually just got the Nobel Prize last year 472 00:26:28,960 --> 00:26:32,080 Speaker 3: in twenty twenty four Durana Simoglu and Simon Johnson and 473 00:26:32,840 --> 00:26:37,520 Speaker 3: James Robinson for their work looking at how institutions affect 474 00:26:37,600 --> 00:26:41,639 Speaker 3: long term growth. And I start there because part of 475 00:26:41,680 --> 00:26:45,160 Speaker 3: what economic inequality does, part of what wealth concentration does, 476 00:26:45,240 --> 00:26:49,119 Speaker 3: is it destroys the institutions that foster broadly shared growth. 477 00:26:49,280 --> 00:26:51,880 Speaker 2: Explain what you mean by that, because you know, we've 478 00:26:51,920 --> 00:26:56,920 Speaker 2: had wealth inequality during the Gilded Age, we have certainly 479 00:26:56,960 --> 00:27:01,359 Speaker 2: in the nineties, two thousands and beyond, increasing inequality, primarily 480 00:27:01,480 --> 00:27:06,840 Speaker 2: due to publicly traded equity and a lot of concentrated ownership. 481 00:27:07,200 --> 00:27:08,919 Speaker 2: How does that destroy institutions? 482 00:27:09,280 --> 00:27:12,679 Speaker 3: Well, think of it this way. So one of the 483 00:27:12,680 --> 00:27:15,199 Speaker 3: things that the United States was an early leader in 484 00:27:15,960 --> 00:27:20,040 Speaker 3: was making sure that kids had access to free public education. 485 00:27:21,160 --> 00:27:23,919 Speaker 3: Something that US communities started to do early on. They 486 00:27:24,080 --> 00:27:27,800 Speaker 3: used they raised taxes to do this, and we were 487 00:27:27,920 --> 00:27:32,320 Speaker 3: a global leader in the early primary school movement. And 488 00:27:32,640 --> 00:27:38,880 Speaker 3: that's a really important foundational institution for economic growth because 489 00:27:38,920 --> 00:27:43,399 Speaker 3: we know that talent and entrepreneurship and skill not you know, 490 00:27:43,480 --> 00:27:47,440 Speaker 3: skills can be learned. But all of these things are 491 00:27:47,480 --> 00:27:52,000 Speaker 3: they're normally distributed, they affected, They're distributed across the population. Right. 492 00:27:52,040 --> 00:27:55,080 Speaker 3: It isn't just rich children who have access to the 493 00:27:55,119 --> 00:27:58,040 Speaker 3: best schools that have the best ideas or are the 494 00:27:58,080 --> 00:28:01,280 Speaker 3: most talented in everything. Right, And so if you have 495 00:28:01,280 --> 00:28:06,160 Speaker 3: a society where you are making sure that children across 496 00:28:06,200 --> 00:28:09,359 Speaker 3: different income groups, across different racial groups, and you know, 497 00:28:09,400 --> 00:28:13,280 Speaker 3: both girls and boys have access to learning and skill building, 498 00:28:13,640 --> 00:28:16,080 Speaker 3: then your society is going to benefit from them being 499 00:28:16,119 --> 00:28:18,800 Speaker 3: able to find the right fit as they go through life, 500 00:28:18,800 --> 00:28:20,720 Speaker 3: they're going to find the right role. Oh I'm really 501 00:28:20,720 --> 00:28:23,080 Speaker 3: good at this, or I'm really good at that. They'll 502 00:28:23,119 --> 00:28:26,800 Speaker 3: have those opportunities and our economy, our society will benefit 503 00:28:27,160 --> 00:28:32,320 Speaker 3: from those productivity gains. Very famous economic study by Raj 504 00:28:32,359 --> 00:28:35,359 Speaker 3: Shetty and his colleagues many years ago now, but they 505 00:28:36,000 --> 00:28:39,480 Speaker 3: had data on third graders. You're in New York City 506 00:28:40,000 --> 00:28:43,760 Speaker 3: and they were able to match this data on the 507 00:28:43,800 --> 00:28:47,320 Speaker 3: third graders and their test scores on math and English, 508 00:28:47,360 --> 00:28:49,720 Speaker 3: but we're just going to focus on math, and they 509 00:28:49,720 --> 00:28:53,120 Speaker 3: were able to then match those third graders to their parents' 510 00:28:53,120 --> 00:28:56,880 Speaker 3: income and to their future income and whether or not 511 00:28:57,000 --> 00:28:59,920 Speaker 3: they ever applied for a patent. It's just one measure 512 00:29:00,160 --> 00:29:02,560 Speaker 3: of it's not the end all bit, but just one 513 00:29:02,600 --> 00:29:05,160 Speaker 3: measure of some kind of you know, success in the world. 514 00:29:06,000 --> 00:29:09,480 Speaker 3: And what they found was that the children who did 515 00:29:09,520 --> 00:29:13,440 Speaker 3: the best in third grade on these standardized math tests, 516 00:29:14,360 --> 00:29:16,280 Speaker 3: those kids were more likely to grow up and get 517 00:29:16,280 --> 00:29:20,400 Speaker 3: a patent. Totally makes sense. But when you looked at 518 00:29:20,400 --> 00:29:23,400 Speaker 3: those children by the income group that their parents were in, 519 00:29:23,880 --> 00:29:27,200 Speaker 3: by their race, by their gender, you saw something very 520 00:29:27,240 --> 00:29:30,400 Speaker 3: strange happen when you just looked at the top kids 521 00:29:30,480 --> 00:29:32,840 Speaker 3: in terms of the mass scores. So this group that 522 00:29:32,920 --> 00:29:34,640 Speaker 3: was most likely to go on and get a patent, 523 00:29:36,440 --> 00:29:39,560 Speaker 3: the children in that group who came from the richest families, 524 00:29:40,200 --> 00:29:44,360 Speaker 3: who were boys or were white were far more likely 525 00:29:44,480 --> 00:29:48,120 Speaker 3: than the children from lower income families than girls or 526 00:29:48,600 --> 00:29:51,360 Speaker 3: were black children to grow up and get a patent. 527 00:29:51,880 --> 00:29:54,520 Speaker 3: So what that tells you is that our economy, our 528 00:29:54,520 --> 00:29:57,880 Speaker 3: society has been denied all of this, these new ideas, 529 00:29:57,920 --> 00:30:00,280 Speaker 3: these new things we could be buying, or new ways 530 00:30:00,280 --> 00:30:03,480 Speaker 3: that our world could be changing, because those children who 531 00:30:03,480 --> 00:30:06,120 Speaker 3: are highly talented didn't have that opportunity across their life. 532 00:30:06,760 --> 00:30:11,400 Speaker 3: So what helps a low income child get that education 533 00:30:11,640 --> 00:30:14,040 Speaker 3: that gives them that opportunity? Well, it is it's having 534 00:30:14,120 --> 00:30:17,280 Speaker 3: a good public school system and good public universities and 535 00:30:17,400 --> 00:30:20,400 Speaker 3: that are affordable that give that kid an opportunity, having 536 00:30:20,880 --> 00:30:24,400 Speaker 3: equal opportunity laws that allow you know, girls and people 537 00:30:24,400 --> 00:30:27,600 Speaker 3: of color to have those opportunities. That hinges on having 538 00:30:27,720 --> 00:30:32,240 Speaker 3: institutions that are fair and that are enforcing anti discrimination laws. 539 00:30:33,040 --> 00:30:35,960 Speaker 3: And so that is just one. That's just one pathway 540 00:30:36,320 --> 00:30:41,760 Speaker 3: through which inequality or you know, equity or lack thereof 541 00:30:41,960 --> 00:30:46,080 Speaker 3: effects are our potential for economic growth effects the kind 542 00:30:46,120 --> 00:30:46,720 Speaker 3: of growth that we have. 543 00:30:47,720 --> 00:30:49,400 Speaker 2: Yeah, I want to I want to push back on 544 00:30:49,440 --> 00:30:54,960 Speaker 2: that slightly in that So, is this an inequality issue 545 00:30:55,240 --> 00:30:59,560 Speaker 2: or is this a Hey, we have pretty mediocre public schools, 546 00:30:59,640 --> 00:31:06,760 Speaker 2: especially in cities, and that leads to exaggerating or amplifying 547 00:31:07,800 --> 00:31:12,440 Speaker 2: some inequalities that are already in existence, Like is this 548 00:31:12,520 --> 00:31:16,760 Speaker 2: a tax issue? Is this a competency and expertise issue? Like, 549 00:31:16,960 --> 00:31:24,400 Speaker 2: why are suburban schools in wealthy suburbs so much better 550 00:31:24,600 --> 00:31:29,520 Speaker 2: reputations and higher acceptance rates at Ivy's and all the 551 00:31:29,600 --> 00:31:34,200 Speaker 2: other usual measures of success. Is it strictly money or 552 00:31:34,320 --> 00:31:37,160 Speaker 2: is it some of it was just a flight of 553 00:31:37,200 --> 00:31:40,360 Speaker 2: experts to hire pay I guess which comes back to mind, 554 00:31:40,760 --> 00:31:43,680 Speaker 2: how do we explain, Hey, the kids are in school, 555 00:31:43,800 --> 00:31:45,640 Speaker 2: they're just not really learning a whole lot. 556 00:31:46,320 --> 00:31:49,040 Speaker 3: Well, I mean, there's so many there's so many directions 557 00:31:49,040 --> 00:31:54,040 Speaker 3: we could take that question that whether or not you 558 00:31:54,120 --> 00:31:58,840 Speaker 3: are funding those public institutions that enable a wide range 559 00:31:58,840 --> 00:32:01,520 Speaker 3: of people to have access to opportunity. That's that's sort 560 00:32:01,520 --> 00:32:04,160 Speaker 3: of the first part of that answer, Right, are they 561 00:32:04,200 --> 00:32:07,320 Speaker 3: properly resourced? Well, the answer, of course we know is 562 00:32:07,360 --> 00:32:10,040 Speaker 3: that they haven't been. And there's a lot of things happening. 563 00:32:10,040 --> 00:32:12,920 Speaker 3: But two that are really fundamental. Number One, in the 564 00:32:13,040 --> 00:32:18,760 Speaker 3: United States, public schools are primarily financed by local property taxes, 565 00:32:19,200 --> 00:32:21,320 Speaker 3: which is inherently unequal. 566 00:32:21,680 --> 00:32:21,840 Speaker 1: Right. 567 00:32:21,960 --> 00:32:25,200 Speaker 3: That means that people that are living communities with wealthier 568 00:32:25,200 --> 00:32:28,080 Speaker 3: homes have higher tax bass, and so those those school 569 00:32:28,080 --> 00:32:30,760 Speaker 3: districts have more resources, which is exactly the opposite of 570 00:32:30,800 --> 00:32:34,160 Speaker 3: what you should be doing to create more equity, more 571 00:32:34,160 --> 00:32:34,760 Speaker 3: opportunities is. 572 00:32:34,840 --> 00:32:37,520 Speaker 2: In there're a chicken and egg situation there in that. 573 00:32:38,160 --> 00:32:40,840 Speaker 2: Like I'm just thinking of all the bedroom communities thirty 574 00:32:40,880 --> 00:32:51,280 Speaker 2: minutes outside of Manhattan. They became destination suburbia because hey, 575 00:32:51,360 --> 00:32:54,080 Speaker 2: it was it was quieter, it was cleaner, it was neater, 576 00:32:54,280 --> 00:32:59,800 Speaker 2: and as it became more and more desirable, the schools 577 00:33:00,080 --> 00:33:05,800 Speaker 2: are doing better. Like you've created, We've created a situation where, 578 00:33:06,240 --> 00:33:09,720 Speaker 2: of course these wealthy suburban school districts are going to 579 00:33:09,760 --> 00:33:13,120 Speaker 2: do better. That's why people pay higher home prices and 580 00:33:13,200 --> 00:33:16,560 Speaker 2: higher taxes in those districts because they want a higher 581 00:33:16,640 --> 00:33:23,120 Speaker 2: quality public school. How do you how do you deal 582 00:33:23,200 --> 00:33:28,560 Speaker 2: with underfunded urban schools when people are voting with their 583 00:33:28,560 --> 00:33:29,840 Speaker 2: feet and their tax dops. 584 00:33:30,120 --> 00:33:34,320 Speaker 3: Well, I mean, so that the obvious answers we should 585 00:33:34,320 --> 00:33:38,000 Speaker 3: be thinking about how we are financing public schools, right, 586 00:33:38,040 --> 00:33:40,600 Speaker 3: should we be? Should it all be about local? I 587 00:33:40,600 --> 00:33:43,000 Speaker 3: mean this and this is a local issue. Obviously it's 588 00:33:43,000 --> 00:33:46,360 Speaker 3: different in different places. That's that is an answer. But 589 00:33:46,440 --> 00:33:49,479 Speaker 3: when you then zoom up to the federal level and 590 00:33:49,520 --> 00:33:51,440 Speaker 3: you think about the question of whether or not we 591 00:33:51,480 --> 00:33:55,440 Speaker 3: are properly resourcing the institutions that we need, the answers. 592 00:33:55,440 --> 00:33:59,200 Speaker 3: Of course, we've seen a half century now of primarily 593 00:33:59,240 --> 00:34:03,280 Speaker 3: Republicans selling the American people on the idea that if 594 00:34:03,320 --> 00:34:06,760 Speaker 3: we lower taxes, particularly on the rich, that's going to 595 00:34:06,800 --> 00:34:09,160 Speaker 3: benefit them and their communities. And of course that's not 596 00:34:09,200 --> 00:34:13,160 Speaker 3: what we've seen. Trickle down economics hasn't worked, it hasn't 597 00:34:13,200 --> 00:34:17,160 Speaker 3: delivered stronger growth overall. And what it's done is starved 598 00:34:17,160 --> 00:34:20,040 Speaker 3: our government of the resources that it needs to then 599 00:34:20,480 --> 00:34:23,640 Speaker 3: address some of these inequities, you know, at the federal level, 600 00:34:23,800 --> 00:34:26,959 Speaker 3: or you know, or you know, potentially at the state level, 601 00:34:26,960 --> 00:34:30,840 Speaker 3: depending on the multiple tax question of and it's a 602 00:34:30,960 --> 00:34:34,520 Speaker 3: question though, of why have we decided to starve government 603 00:34:34,719 --> 00:34:37,840 Speaker 3: in order to give money back to the richest in 604 00:34:37,880 --> 00:34:40,640 Speaker 3: our society. So you can see, you know, time and 605 00:34:40,680 --> 00:34:45,480 Speaker 3: again these massive tax packages, the most egregious, of course, 606 00:34:45,520 --> 00:34:48,400 Speaker 3: being the one that passed this year that Donald Trump signed. 607 00:34:48,800 --> 00:34:51,960 Speaker 2: Is this one really more egregious than the twenty seventeen 608 00:34:52,080 --> 00:34:54,520 Speaker 2: tax and jobs? Actually it is different. So I hear 609 00:34:54,560 --> 00:34:58,000 Speaker 2: the exact same complaints and it's you know, what is 610 00:34:58,040 --> 00:34:59,680 Speaker 2: it it's eight years later? 611 00:35:00,520 --> 00:35:06,279 Speaker 3: It is there is no justification for the kinds of 612 00:35:06,360 --> 00:35:09,400 Speaker 3: tax cuts that we've just given to the richest people 613 00:35:09,440 --> 00:35:15,880 Speaker 3: in our society while gutting Medicaid, denying families and children 614 00:35:16,239 --> 00:35:19,680 Speaker 3: and new parents access to healthcare, which will make it 615 00:35:19,760 --> 00:35:23,160 Speaker 3: that much harder for our society to thrive. You know, 616 00:35:23,200 --> 00:35:25,560 Speaker 3: for decades to come, people are going to be sicker, 617 00:35:25,640 --> 00:35:27,200 Speaker 3: They're not going to have access to healthcare, They're going 618 00:35:27,239 --> 00:35:29,319 Speaker 3: to go into bankruptcy. All of the hospitals are going 619 00:35:29,400 --> 00:35:32,759 Speaker 3: to close. So the damage that we are doing to 620 00:35:33,000 --> 00:35:37,400 Speaker 3: communities because of that tax legislation is truly phenomenally. 621 00:35:38,320 --> 00:35:41,319 Speaker 2: Let's explore that in a minute, because you talked about 622 00:35:41,480 --> 00:35:45,239 Speaker 2: trickle down, and I think that's so long ago. I 623 00:35:45,280 --> 00:35:49,040 Speaker 2: don't know if people voted for that. The thing that's 624 00:35:49,080 --> 00:35:50,600 Speaker 2: been well he did say. 625 00:35:50,840 --> 00:35:53,720 Speaker 3: I mean, let's be clear. President Trump did tell people 626 00:35:53,800 --> 00:35:56,520 Speaker 3: during his campaign that he would not cut medicaid. 627 00:35:56,640 --> 00:35:57,080 Speaker 2: That's true. 628 00:35:57,120 --> 00:35:59,279 Speaker 3: So he did tell people he would raise tariffs, but 629 00:35:59,360 --> 00:36:01,240 Speaker 3: he did not. He said he would not cut medicaid, 630 00:36:01,320 --> 00:36:03,520 Speaker 3: and he did that. That was one of the first 631 00:36:03,560 --> 00:36:04,239 Speaker 3: things that he did. 632 00:36:04,320 --> 00:36:07,359 Speaker 2: Here's the thing that is the big surprise to me 633 00:36:07,600 --> 00:36:12,880 Speaker 2: is that we're seeing the impact of the tax package 634 00:36:14,000 --> 00:36:17,279 Speaker 2: falling in a surprising way on a lot of Red 635 00:36:17,320 --> 00:36:20,960 Speaker 2: States farmers rural communities. There have been number of stories 636 00:36:21,000 --> 00:36:24,239 Speaker 2: about rural hospitals are closing left and right. There are 637 00:36:24,280 --> 00:36:25,480 Speaker 2: going to be people that are going to have to 638 00:36:25,560 --> 00:36:28,279 Speaker 2: drive three, four or five hours if to have a 639 00:36:28,320 --> 00:36:31,040 Speaker 2: baby delivered, and if there's a heart attack, I got 640 00:36:31,040 --> 00:36:33,120 Speaker 2: some bad news. You ain't gonna make that well. 641 00:36:33,160 --> 00:36:34,680 Speaker 3: The baby may not make it well. 642 00:36:34,719 --> 00:36:36,919 Speaker 2: I mean to the hospital, to the hospital for sure. 643 00:36:36,960 --> 00:36:41,080 Speaker 2: So the question is, and I don't have an answer 644 00:36:41,080 --> 00:36:45,520 Speaker 2: for this, are people just voting tribally? They're voting for 645 00:36:45,800 --> 00:36:49,920 Speaker 2: what their party affiliation is, because it doesn't seem like 646 00:36:50,160 --> 00:36:53,799 Speaker 2: a lot of people realize. And it's drue on both 647 00:36:53,840 --> 00:36:58,359 Speaker 2: sides of the aisle, but it's especially true given what 648 00:36:58,400 --> 00:37:02,000 Speaker 2: we've seen in some of the redder parts of the country. 649 00:37:02,040 --> 00:37:06,240 Speaker 2: And I keep coming back to all these rural hospitals closing. 650 00:37:08,080 --> 00:37:11,759 Speaker 2: Are people just not voting in their own interest? Are 651 00:37:11,760 --> 00:37:14,400 Speaker 2: there other factors driving this? And I know you're not 652 00:37:14,440 --> 00:37:17,239 Speaker 2: a political economist, now it's not your focus, but. 653 00:37:18,040 --> 00:37:22,000 Speaker 3: I think that people is my personal view, that people 654 00:37:22,000 --> 00:37:24,520 Speaker 3: are voting for somebody that they believe is on their side. 655 00:37:25,120 --> 00:37:27,839 Speaker 3: And when you take the long view and you look 656 00:37:27,880 --> 00:37:32,000 Speaker 3: at the US economy, what you see is a half 657 00:37:32,080 --> 00:37:35,839 Speaker 3: century of rising economic inequality, the top pulling further and 658 00:37:35,880 --> 00:37:38,719 Speaker 3: further apart from the rest, the middle class being squeezed 659 00:37:39,080 --> 00:37:42,160 Speaker 3: harder to go from being low income into that secure 660 00:37:42,200 --> 00:37:46,440 Speaker 3: economic middle arise in economic concentration, and by that meaning 661 00:37:47,040 --> 00:37:50,240 Speaker 3: in across industries in the United States, there are fewer 662 00:37:50,280 --> 00:37:54,480 Speaker 3: and fewer businesses. You talk of hospitals, there's been massive 663 00:37:54,880 --> 00:37:59,080 Speaker 3: consolidation in the hospital sector, right, So in many communities 664 00:37:59,120 --> 00:38:01,960 Speaker 3: already there might have been a number of hospitals, but 665 00:38:01,960 --> 00:38:05,040 Speaker 3: they're all owned by the same company, right, which creates 666 00:38:06,160 --> 00:38:09,000 Speaker 3: lower wages for the workers, the nurses and the doctors 667 00:38:09,000 --> 00:38:11,440 Speaker 3: that work and the janitors that work at those hospitals, 668 00:38:11,480 --> 00:38:13,840 Speaker 3: creates that what we as economists we call them knopsity 669 00:38:13,920 --> 00:38:18,520 Speaker 3: labor market, and we know that they're less likely to 670 00:38:18,520 --> 00:38:23,040 Speaker 3: be resilient in situations like this. So these are long standing, 671 00:38:24,000 --> 00:38:28,440 Speaker 3: brewing crises that this most recent legislation has then just 672 00:38:28,480 --> 00:38:31,279 Speaker 3: sort of lit the match under and said, well, we're 673 00:38:31,280 --> 00:38:34,000 Speaker 3: not gonna We're not going to give those communities the 674 00:38:34,000 --> 00:38:36,920 Speaker 3: money they need for these hospitals. But it is on 675 00:38:37,040 --> 00:38:40,440 Speaker 3: top of this rising economic inequality that I think has 676 00:38:40,440 --> 00:38:45,000 Speaker 3: made so many people unclear of who's on their side, 677 00:38:45,120 --> 00:38:48,319 Speaker 3: And for some reason they believed that Trump was. He 678 00:38:48,400 --> 00:38:50,640 Speaker 3: goes out there and he says he's on your side, 679 00:38:50,760 --> 00:38:53,879 Speaker 3: but his actions really haven't been. And I think that's 680 00:38:53,920 --> 00:38:56,759 Speaker 3: what's it's so hard and frustrating to watch. But I 681 00:38:56,800 --> 00:38:58,920 Speaker 3: think the truth of that, the truth in there that 682 00:38:58,960 --> 00:39:02,400 Speaker 3: we need to be very thoughtful about, is if you 683 00:39:02,480 --> 00:39:05,560 Speaker 3: want people to vote for you, if you want people 684 00:39:05,600 --> 00:39:08,520 Speaker 3: to vote for people that are actually going to support 685 00:39:08,560 --> 00:39:11,560 Speaker 3: and grow America's middle class, how are we showing that. 686 00:39:11,600 --> 00:39:15,120 Speaker 3: How are we demonstrating that actually our goal isn't just 687 00:39:15,280 --> 00:39:18,479 Speaker 3: more elites making more money, but is actually making sure 688 00:39:18,520 --> 00:39:21,080 Speaker 3: that communities thrive, that there are good jobs, that there 689 00:39:21,160 --> 00:39:25,120 Speaker 3: is the kinds of institution, you know, good schools and 690 00:39:25,440 --> 00:39:27,719 Speaker 3: healthcare and all the things that communities need. Are we 691 00:39:27,920 --> 00:39:29,040 Speaker 3: actually delivering that. 692 00:39:30,000 --> 00:39:32,279 Speaker 2: So if we look at the twenty tens, the post 693 00:39:32,360 --> 00:39:36,920 Speaker 2: financial crisis era, not a lot of fiscal stimulus, almost 694 00:39:37,000 --> 00:39:42,400 Speaker 2: all monetary policy quantitative easing, zero interest rate policy rates 695 00:39:42,440 --> 00:39:47,919 Speaker 2: were super low, inflation was under two percent. We look 696 00:39:47,960 --> 00:39:52,839 Speaker 2: at the post pandemic era, the twenty twenties, they've been 697 00:39:52,840 --> 00:39:56,640 Speaker 2: pretty much all fiscally driven. We had Cares Act one 698 00:39:56,640 --> 00:40:01,760 Speaker 2: and two under President Trump, Cares Act three under President Biden, 699 00:40:02,239 --> 00:40:07,240 Speaker 2: the Infrastructure Bill, the Semiconductor Bill, the Build Back Better Bill, 700 00:40:07,320 --> 00:40:10,520 Speaker 2: the most recent Big Beautiful Bill, and all the tax 701 00:40:10,560 --> 00:40:16,880 Speaker 2: cuts there. The twenty twenties really feels like it's fiscally driven, 702 00:40:16,960 --> 00:40:21,759 Speaker 2: whereas the previous fifteen twenty years was all monetary. What 703 00:40:21,840 --> 00:40:26,680 Speaker 2: does that do to the issue of wealth and income inequality? 704 00:40:27,200 --> 00:40:32,800 Speaker 2: In the entire twenty tens and twenty twenties, stocks, bonds, 705 00:40:32,880 --> 00:40:36,720 Speaker 2: real estate, businesses all seem to have done pretty well. 706 00:40:37,280 --> 00:40:41,879 Speaker 2: Doesn't matter if it's monetary or fiscal. If you own 707 00:40:42,040 --> 00:40:46,640 Speaker 2: capital based assets, any sort of stimulus seems to work well. 708 00:40:46,680 --> 00:40:50,040 Speaker 3: It's a really interesting question, I think it. To my mind, 709 00:40:50,080 --> 00:40:52,520 Speaker 3: the answer goes back a little bit to something I 710 00:40:52,520 --> 00:40:58,960 Speaker 3: said earlier about the importance of having good leadership. Fiscal 711 00:40:59,040 --> 00:41:02,120 Speaker 3: policy require buyers that you actually have people that are 712 00:41:02,120 --> 00:41:04,319 Speaker 3: thinking about what is it that you want government to do, 713 00:41:04,640 --> 00:41:07,040 Speaker 3: What is government spending money on. How are we thinking 714 00:41:07,040 --> 00:41:11,319 Speaker 3: about setting rules of the road for businesses so that 715 00:41:11,360 --> 00:41:13,600 Speaker 3: they are encouraged to behave in ways it's going to 716 00:41:13,640 --> 00:41:18,000 Speaker 3: benefit communities, not strip them of their value, or you know, 717 00:41:18,040 --> 00:41:20,680 Speaker 3: create bad jobs, or you know, create negative implications for 718 00:41:20,719 --> 00:41:24,640 Speaker 3: the environment. And monetary policy, on the other hand, is 719 00:41:24,760 --> 00:41:27,399 Speaker 3: very hands off. It's you know, we set the interest rate. 720 00:41:27,760 --> 00:41:30,520 Speaker 3: There there is financial regulation, of course, and that's a 721 00:41:30,520 --> 00:41:32,760 Speaker 3: big piece of it. Bit often when we're talking about 722 00:41:33,600 --> 00:41:36,160 Speaker 3: addressing the business cycle, it is about the you know, 723 00:41:36,280 --> 00:41:40,200 Speaker 3: the interest rate policy. And I think what you've seen, 724 00:41:40,480 --> 00:41:44,439 Speaker 3: especially post global financial crisis, has been a sense that 725 00:41:44,440 --> 00:41:46,440 Speaker 3: that hands off policy. And again I would kind of 726 00:41:46,440 --> 00:41:47,839 Speaker 3: put that a little bit in my brain that goes 727 00:41:47,840 --> 00:41:51,440 Speaker 3: into the trickle down mentality that markets were kind of 728 00:41:51,480 --> 00:41:52,960 Speaker 3: going to take our hands off because we believe that 729 00:41:53,000 --> 00:41:54,839 Speaker 3: markets are perfect, so if we get out of the way, 730 00:41:54,880 --> 00:41:57,680 Speaker 3: then everything will just work out honky dory, and that't 731 00:41:57,719 --> 00:41:59,879 Speaker 3: that hasn't worked out. It certainly did not work out. 732 00:42:00,080 --> 00:42:03,719 Speaker 3: The recovery post global financial crisis, which you know, left 733 00:42:03,760 --> 00:42:07,680 Speaker 3: Americans languishing and high unemployment, you know, massive labor market 734 00:42:07,719 --> 00:42:10,160 Speaker 3: scarring for so many young people that never really found 735 00:42:10,160 --> 00:42:14,279 Speaker 3: that good start, you know, the loss of wealth for 736 00:42:14,360 --> 00:42:16,960 Speaker 3: millions of Americans, and it took so long for us 737 00:42:17,040 --> 00:42:20,800 Speaker 3: to work work its way through the system. The fiscal 738 00:42:20,840 --> 00:42:24,359 Speaker 3: policy option allows policymakers to step in and be more 739 00:42:24,400 --> 00:42:27,000 Speaker 3: active and to say, actually this is what we this 740 00:42:27,040 --> 00:42:29,680 Speaker 3: is the direction we need to go. So the bipart 741 00:42:29,760 --> 00:42:33,839 Speaker 3: is an infrastructure law that you invested money and communities 742 00:42:34,000 --> 00:42:37,480 Speaker 3: in every part of America in creating roads and bridges 743 00:42:37,520 --> 00:42:41,560 Speaker 3: at standard infrastructure, but also you know, taking steps to 744 00:42:41,640 --> 00:42:45,680 Speaker 3: bring broadband to every family, taking steps to make sure 745 00:42:45,719 --> 00:42:49,120 Speaker 3: that schools that wanted to put in electric school buses 746 00:42:49,160 --> 00:42:51,960 Speaker 3: to reduce the pollution and the noise for kids riding 747 00:42:51,960 --> 00:42:54,360 Speaker 3: that school bus every day, that they had resources to 748 00:42:54,440 --> 00:42:57,640 Speaker 3: do that. So infrastructure as we traditionally thought about it, 749 00:42:57,680 --> 00:43:00,680 Speaker 3: and you know these new forms of structure that are 750 00:43:00,680 --> 00:43:04,440 Speaker 3: really important. Government really stepping in and saying, hey, there 751 00:43:04,440 --> 00:43:08,160 Speaker 3: are certain sectors that we need as a country to 752 00:43:08,160 --> 00:43:13,279 Speaker 3: be investing in high technology like semiconductors, clean energy, that 753 00:43:13,360 --> 00:43:15,840 Speaker 3: these are the industries of the future that we want 754 00:43:15,880 --> 00:43:19,080 Speaker 3: America to be and we need American businesses to be 755 00:43:19,120 --> 00:43:22,839 Speaker 3: competitive in That was why we were making those investments. 756 00:43:22,920 --> 00:43:25,880 Speaker 3: And we believe that if we encourage businesses in the 757 00:43:25,960 --> 00:43:29,160 Speaker 3: right way, that can create good jobs and economic security 758 00:43:29,160 --> 00:43:32,360 Speaker 3: for communities all across the country. So that active policy 759 00:43:32,760 --> 00:43:35,839 Speaker 3: that is saying here's what really matters to us as 760 00:43:35,840 --> 00:43:39,160 Speaker 3: a society, I think is a part of this trend 761 00:43:39,239 --> 00:43:41,759 Speaker 3: because we can all see with our own eyes that 762 00:43:41,920 --> 00:43:45,799 Speaker 3: fifty years of saying we'll let markets take it, that 763 00:43:45,880 --> 00:43:49,520 Speaker 3: we don't really need to intervene, has left too many 764 00:43:49,560 --> 00:43:53,759 Speaker 3: main streets devastated, has left too many families without economic security, 765 00:43:53,920 --> 00:43:57,840 Speaker 3: and hasn't delivered the kind of economy that Americans want, 766 00:43:58,120 --> 00:43:59,040 Speaker 3: need and deserve. 767 00:44:00,239 --> 00:44:04,440 Speaker 2: We continue our conversation with Heather Bouche, Senior Research Fellow 768 00:44:04,440 --> 00:44:07,839 Speaker 2: at the Harvard Kennedy School, discussing what we can do 769 00:44:08,000 --> 00:44:10,799 Speaker 2: to help narrow the gap between the haves and the 770 00:44:10,840 --> 00:44:14,480 Speaker 2: have nots. I'm Barry Ritults. You're listening to Masters in 771 00:44:14,560 --> 00:44:27,680 Speaker 2: Business on Bloomberg Radio. I'm Barry Ridults. You're listening to 772 00:44:27,760 --> 00:44:31,399 Speaker 2: Masters in Business on Bloomberg Radio. My extra special guest 773 00:44:31,400 --> 00:44:34,520 Speaker 2: today is Heather Bouschet. She was the economist for the 774 00:44:34,600 --> 00:44:39,120 Speaker 2: Joint Economic Committee of US Congress as well as a 775 00:44:39,239 --> 00:44:43,000 Speaker 2: member of the Council of Economic Advisors under President Biden. 776 00:44:43,320 --> 00:44:47,040 Speaker 2: She's currently Senior Research Fellow at the Harvard Kennedy School. 777 00:44:47,719 --> 00:44:51,480 Speaker 2: So we've been talking about how the past forty or 778 00:44:51,480 --> 00:44:58,240 Speaker 2: fifty years has seen both wealth inequality expand and income inequality, 779 00:45:00,000 --> 00:45:04,719 Speaker 2: which dates back to the eighties and nineties, which so 780 00:45:04,920 --> 00:45:07,560 Speaker 2: younger folks may not really remember. I want to I 781 00:45:07,600 --> 00:45:12,120 Speaker 2: want to start by asking you about unintended consequences. And 782 00:45:12,360 --> 00:45:18,600 Speaker 2: I have a recollection of legislation passed under the Clinton 783 00:45:18,640 --> 00:45:24,080 Speaker 2: administration that said, Hey, you can't pay your CEOs tens 784 00:45:24,120 --> 00:45:27,879 Speaker 2: of millions of dollars. It just seems ridiculous. Instead, we're 785 00:45:27,880 --> 00:45:31,360 Speaker 2: going to cap the pay and allow you to pay 786 00:45:31,440 --> 00:45:36,280 Speaker 2: them in stock and stock options. And as the stock 787 00:45:36,360 --> 00:45:39,200 Speaker 2: market has gone higher and higher over the past you know, 788 00:45:39,400 --> 00:45:43,960 Speaker 2: thirty years, it seems like a well intentioned attempt to 789 00:45:44,080 --> 00:45:49,560 Speaker 2: reduce wealth inequality helped create more. How can we respond 790 00:45:49,600 --> 00:45:54,320 Speaker 2: to those sorts of things when it seems the private 791 00:45:54,320 --> 00:45:57,000 Speaker 2: sector is clever enough to kind of figure its way 792 00:45:57,680 --> 00:46:03,600 Speaker 2: around whatever slative challenges are putting their their way. 793 00:46:04,360 --> 00:46:09,160 Speaker 3: Always vigilant, right, I mean I think that it starts 794 00:46:09,400 --> 00:46:15,520 Speaker 3: by I mean, it starts with taxation. Right. So what 795 00:46:15,560 --> 00:46:19,040 Speaker 3: we have done over decades is lower tax rates at 796 00:46:19,040 --> 00:46:19,359 Speaker 3: the top. 797 00:46:19,800 --> 00:46:23,280 Speaker 2: We've made it for corporate corporations, are for individuals, because 798 00:46:23,560 --> 00:46:26,799 Speaker 2: both corporations, as a percentage of total tax paid and 799 00:46:26,840 --> 00:46:29,799 Speaker 2: the actual corporate tax rate, they both seem to have 800 00:46:29,880 --> 00:46:31,200 Speaker 2: drifted down over the past. 801 00:46:31,040 --> 00:46:34,720 Speaker 3: Few All of the above, and we've done that while 802 00:46:34,760 --> 00:46:38,880 Speaker 3: not doing the things that we need to do to fix, uh, 803 00:46:39,120 --> 00:46:42,520 Speaker 3: the transfer of wealth across generations. So we haven't imposed 804 00:46:42,560 --> 00:46:44,840 Speaker 3: the kinds of inheritance taxes that I think would be 805 00:46:44,880 --> 00:46:48,839 Speaker 3: really important to make sure that that wealth isn't calcified 806 00:46:49,440 --> 00:46:54,239 Speaker 3: over time in families. And and that has been that 807 00:46:54,320 --> 00:46:58,439 Speaker 3: has really made it so much easier for those who 808 00:46:58,440 --> 00:47:01,879 Speaker 3: were who you know, worked really hard, did good not 809 00:47:01,920 --> 00:47:03,880 Speaker 3: having to give back through you know, not having to 810 00:47:03,920 --> 00:47:06,880 Speaker 3: pay those taxes on their highest income. But it also 811 00:47:06,920 --> 00:47:09,399 Speaker 3: has allowed wealth to calcify. You know, there's this really 812 00:47:09,440 --> 00:47:11,279 Speaker 3: important book that came out a number of years ago 813 00:47:11,320 --> 00:47:13,600 Speaker 3: that I feel like we don't talk about anymore by 814 00:47:13,840 --> 00:47:17,080 Speaker 3: Thomas Picketty, on Capital in the twenty first Century, and 815 00:47:17,120 --> 00:47:17,760 Speaker 3: they were huge. 816 00:47:17,880 --> 00:47:20,320 Speaker 2: That book was headlines for weeks. 817 00:47:20,400 --> 00:47:24,279 Speaker 3: It was for weeks for weeks, and you know, one 818 00:47:24,280 --> 00:47:28,440 Speaker 3: of the things that really was so important about that 819 00:47:28,480 --> 00:47:30,440 Speaker 3: book was the way that he showed through all of 820 00:47:30,480 --> 00:47:33,680 Speaker 3: this data the way that income high income and equality 821 00:47:34,000 --> 00:47:38,160 Speaker 3: quality calcifies into high wealth inequality, and that once wealth 822 00:47:38,280 --> 00:47:43,200 Speaker 3: becomes congealed, right, once a smaller and smaller number of 823 00:47:43,200 --> 00:47:45,560 Speaker 3: people have access to that it becomes very difficult to 824 00:47:45,680 --> 00:47:48,640 Speaker 3: unpack that, to share that, and for society as a 825 00:47:48,640 --> 00:47:49,680 Speaker 3: whole to benefit from it. 826 00:47:49,920 --> 00:47:52,480 Speaker 2: So let me push back a little bit and say, hey, 827 00:47:52,520 --> 00:47:56,680 Speaker 2: we have fifty percent a state tax and the way 828 00:47:56,719 --> 00:47:59,000 Speaker 2: you could get around that is by donating it to 829 00:47:59,040 --> 00:48:01,799 Speaker 2: a philanthropy of ACA Foundation, what have you. Yeah, there 830 00:48:01,840 --> 00:48:04,719 Speaker 2: are various trusts and things you could set up to 831 00:48:04,840 --> 00:48:08,960 Speaker 2: avoid paying some of the taxes, but the tax man 832 00:48:09,080 --> 00:48:13,920 Speaker 2: gets his due eventually. We're not like the UK that 833 00:48:14,000 --> 00:48:21,040 Speaker 2: has this esconce gentrified nobility. Still the upper class there is, 834 00:48:21,560 --> 00:48:26,560 Speaker 2: you know, just generations of landowners or is in the 835 00:48:26,680 --> 00:48:31,080 Speaker 2: United States different from other countries or seen we have 836 00:48:31,239 --> 00:48:33,800 Speaker 2: landed gentry here the way the UK. 837 00:48:33,760 --> 00:48:35,960 Speaker 3: Does, I would argue. I mean, so first off on 838 00:48:36,040 --> 00:48:41,359 Speaker 3: the data, we have so much higher economic inequality than 839 00:48:41,360 --> 00:48:46,200 Speaker 3: our European other European countries, and we don't see the 840 00:48:46,320 --> 00:48:49,920 Speaker 3: kind of movement across income groups they used to. 841 00:48:50,000 --> 00:48:51,719 Speaker 2: We used to have pretty good post World War two 842 00:48:51,840 --> 00:48:54,200 Speaker 2: economic mobility was pretty high in the United States. 843 00:48:54,280 --> 00:48:57,120 Speaker 3: Right, So if you were born in the nineteen forties, 844 00:48:57,360 --> 00:49:01,440 Speaker 3: your chance about earning your parents with about ninety percent. Right, 845 00:49:01,680 --> 00:49:04,520 Speaker 3: But if you're born in the nineteen eighties, only one 846 00:49:04,520 --> 00:49:07,520 Speaker 3: in two of us it's grown up to out earn 847 00:49:08,719 --> 00:49:12,440 Speaker 3: their parents. So that's that is a remarkable shift, a 848 00:49:12,480 --> 00:49:15,520 Speaker 3: remarkable constraint on upper mobility over time. And it is 849 00:49:15,600 --> 00:49:19,000 Speaker 3: because you've seen this high these high incomes calcify into 850 00:49:19,360 --> 00:49:22,399 Speaker 3: wealth and equality. That's sticky, right. You talked, we talked 851 00:49:22,440 --> 00:49:27,759 Speaker 3: earlier about people moving into you know, wealthier enclaves, you know, 852 00:49:27,840 --> 00:49:29,839 Speaker 3: with you know, better schools. Well, that is a way 853 00:49:30,000 --> 00:49:33,080 Speaker 3: of you know, it's one way that it works its 854 00:49:33,080 --> 00:49:36,080 Speaker 3: way through society that those kids will have more opportunities. 855 00:49:36,640 --> 00:49:40,440 Speaker 3: You are able to keep that wealth in that family, 856 00:49:41,320 --> 00:49:43,520 Speaker 3: and then you don't see those economic benefits kind of 857 00:49:43,520 --> 00:49:46,240 Speaker 3: flowing throughout your society, and you don't see that economic 858 00:49:46,400 --> 00:49:47,960 Speaker 3: opportunity flowing through. 859 00:49:47,920 --> 00:49:52,239 Speaker 2: So we talked a little bit about what the pandemic 860 00:49:52,320 --> 00:49:58,640 Speaker 2: revealed with fragile supply chains and how many crucial things 861 00:49:58,800 --> 00:50:03,479 Speaker 2: like just the masks and gowns and gloves that aren't 862 00:50:03,520 --> 00:50:07,920 Speaker 2: made in the United States. What's the genesis of this, 863 00:50:08,040 --> 00:50:11,759 Speaker 2: How much of this can we blame on Walmart, and 864 00:50:11,760 --> 00:50:14,640 Speaker 2: how much of this can we blame on just Hey, 865 00:50:15,600 --> 00:50:20,360 Speaker 2: technology and transportation allowed manufacturing to go to the lowest 866 00:50:20,400 --> 00:50:21,280 Speaker 2: cost provider. 867 00:50:22,800 --> 00:50:24,719 Speaker 3: That's a big question with a lot of answers, but 868 00:50:24,800 --> 00:50:28,680 Speaker 3: I think there's a few really important points there. Right, So, 869 00:50:29,160 --> 00:50:34,520 Speaker 3: once you had the capacity for an idea to happen 870 00:50:34,560 --> 00:50:39,360 Speaker 3: in one place, the innovation, the engineers, the plants happened 871 00:50:39,360 --> 00:50:42,040 Speaker 3: in one place, and the production of something to happen 872 00:50:42,200 --> 00:50:46,080 Speaker 3: someplace else because you know, you could send those plans 873 00:50:46,200 --> 00:50:48,720 Speaker 3: via the Internet or you know, to a different place. 874 00:50:50,120 --> 00:50:53,120 Speaker 3: It made it possible for us for companies all across 875 00:50:53,120 --> 00:50:55,320 Speaker 3: the United States around the world to outsource that production. 876 00:50:56,200 --> 00:50:58,200 Speaker 3: And we did that at a time when we were 877 00:50:58,200 --> 00:51:03,640 Speaker 3: making those rules easier. Right, we had decades of trade 878 00:51:03,640 --> 00:51:08,520 Speaker 3: agreements that made it easier for firms to have overseas production, 879 00:51:08,600 --> 00:51:12,200 Speaker 3: to become multinational companies. We wanted to trade. We wanted 880 00:51:12,200 --> 00:51:14,640 Speaker 3: to have more trade. We believe that would make it safer, 881 00:51:14,680 --> 00:51:16,960 Speaker 3: it would you know, you're not going to go to 882 00:51:17,000 --> 00:51:19,520 Speaker 3: war with somebody if you're trading with them, right, You're 883 00:51:19,840 --> 00:51:24,440 Speaker 3: you're going to create these positive benefits for our geopolitics. 884 00:51:25,239 --> 00:51:28,759 Speaker 3: And yet what we've seen is that what that's done 885 00:51:28,920 --> 00:51:33,680 Speaker 3: is it's really stripped production from the ideas and the innovation. 886 00:51:34,280 --> 00:51:37,239 Speaker 3: And so I have left the United States with kind 887 00:51:37,280 --> 00:51:39,759 Speaker 3: of assuming that we could be the ideas people, but 888 00:51:39,880 --> 00:51:43,319 Speaker 3: that the production of things could happen in places where 889 00:51:43,360 --> 00:51:45,239 Speaker 3: wages were lower and where we didn't have to worry 890 00:51:45,239 --> 00:51:48,959 Speaker 3: about messy things like the environmental consequences. So you took 891 00:51:49,000 --> 00:51:51,319 Speaker 3: the hard stuff out of all the things that we 892 00:51:51,520 --> 00:51:54,960 Speaker 3: make and use, and yet you outsource that, and that's 893 00:51:55,040 --> 00:51:58,359 Speaker 3: left our economy very fragile because, as it turns out, 894 00:51:58,400 --> 00:52:01,759 Speaker 3: when things get rough, when there's a panda, and you know, 895 00:52:01,960 --> 00:52:04,239 Speaker 3: I'm spending a lot of time these days thinking about, well, 896 00:52:04,880 --> 00:52:09,000 Speaker 3: one of the crises coming down down the pipeline at 897 00:52:09,040 --> 00:52:11,799 Speaker 3: US is climate change and the energy transition that that 898 00:52:11,840 --> 00:52:16,040 Speaker 3: will require. That's going to create these ongoing challenges for 899 00:52:16,040 --> 00:52:19,720 Speaker 3: our economies in our societies. If you have this global production, 900 00:52:20,880 --> 00:52:23,680 Speaker 3: where's the resiliency? What is that going to do? Are 901 00:52:23,719 --> 00:52:25,200 Speaker 3: you going to be Are we literally going to be 902 00:52:25,239 --> 00:52:28,840 Speaker 3: safe as a nation, let alone the economic consequences that 903 00:52:28,840 --> 00:52:31,840 Speaker 3: we've seen for decades. It's that that kind of global 904 00:52:31,840 --> 00:52:36,239 Speaker 3: production system is hollowed out American communities. And I'm not 905 00:52:36,239 --> 00:52:39,320 Speaker 3: saying that it was caused by policy, but it was facilitated. 906 00:52:39,880 --> 00:52:42,080 Speaker 3: There was this very important role for technology, but we 907 00:52:42,120 --> 00:52:45,280 Speaker 3: didn't step in and sort of say not enough policy 908 00:52:45,320 --> 00:52:48,560 Speaker 3: makers stepped in and said, hey, this might not be 909 00:52:48,800 --> 00:52:50,959 Speaker 3: this might not be good for us. We may want 910 00:52:51,000 --> 00:52:52,960 Speaker 3: to make sure that we have the capacity to make 911 00:52:53,040 --> 00:52:55,879 Speaker 3: the most important things, because if you can't make them, 912 00:52:56,000 --> 00:52:58,680 Speaker 3: then you're going to be vulnerable in a geopolitical sense. 913 00:52:58,719 --> 00:53:01,359 Speaker 3: And now we're kind of frankly stuck behind the eight 914 00:53:01,360 --> 00:53:03,960 Speaker 3: ball a little bit, where some of the most important 915 00:53:04,000 --> 00:53:06,359 Speaker 3: things we don't have the capacity to make. And again 916 00:53:06,400 --> 00:53:08,239 Speaker 3: we saw that in the pandemic with the simple things 917 00:53:08,239 --> 00:53:10,600 Speaker 3: with the mass We also saw that with the ventilators, 918 00:53:10,960 --> 00:53:13,920 Speaker 3: we couldn't get enough of those, and we saw that 919 00:53:15,000 --> 00:53:17,960 Speaker 3: Another example that I've thought a lot about recently. I 920 00:53:18,000 --> 00:53:19,440 Speaker 3: talked to a lot of people when I was in 921 00:53:19,480 --> 00:53:24,040 Speaker 3: Cambridge this year. Drones, which you know, the all of 922 00:53:24,160 --> 00:53:25,959 Speaker 3: you know, virtually all of those are made in China. 923 00:53:26,120 --> 00:53:29,080 Speaker 3: So when China started partnering with Russia, that made it 924 00:53:29,120 --> 00:53:31,560 Speaker 3: hard for the Ukrainians to get the drone parts and 925 00:53:31,680 --> 00:53:33,560 Speaker 3: to get the drones they need to fight their war. 926 00:53:34,040 --> 00:53:38,000 Speaker 3: That's a that was a technology problem that very quickly 927 00:53:38,040 --> 00:53:41,799 Speaker 3: became a very important national security issue. And are we 928 00:53:42,080 --> 00:53:44,200 Speaker 3: are we getting ahead of those kinds of questions. 929 00:53:44,600 --> 00:53:48,960 Speaker 2: So on the siem Teleb wrote a book called Anti Fragile, 930 00:53:49,480 --> 00:53:54,680 Speaker 2: all about resiliency and how to make sure that you're 931 00:53:55,160 --> 00:54:00,000 Speaker 2: not merely relying on just one element, that you're diversifying 932 00:54:00,120 --> 00:54:08,400 Speaker 2: and broadly exposed. How can government policy drive that? If 933 00:54:09,080 --> 00:54:12,719 Speaker 2: if it's in the shareholder's interest to reduce costs a 934 00:54:12,760 --> 00:54:18,920 Speaker 2: maximum amount, increased profits maximum amount, who's responsible for creating 935 00:54:19,000 --> 00:54:25,960 Speaker 2: this anti fragility? How does government build resilience into the economy. 936 00:54:26,800 --> 00:54:30,360 Speaker 3: Well, there's it's a tough question, but there are some tools. 937 00:54:30,440 --> 00:54:32,040 Speaker 3: I mean, so first off, you have to define it. 938 00:54:32,320 --> 00:54:35,080 Speaker 3: And what do you mean by resiliency is that you 939 00:54:35,160 --> 00:54:39,239 Speaker 3: want to have domestic production, production with you know, in 940 00:54:39,280 --> 00:54:41,480 Speaker 3: the during the Biden years we called it friend shoring 941 00:54:41,760 --> 00:54:44,080 Speaker 3: or you know, production within allies that you feel really 942 00:54:44,080 --> 00:54:47,120 Speaker 3: comfortable with. But fundamentally it comes down to do you 943 00:54:47,200 --> 00:54:51,160 Speaker 3: have various options if there's a if something happens with 944 00:54:51,200 --> 00:54:53,440 Speaker 3: this part of your supply chain, are there other ways 945 00:54:53,440 --> 00:54:55,719 Speaker 3: that you can get what you need. We live in 946 00:54:55,760 --> 00:54:59,160 Speaker 3: a continent spanning economy and you know, with you know, 947 00:54:59,200 --> 00:55:01,440 Speaker 3: three hundred and thirty three hundred and forty million people, 948 00:55:01,920 --> 00:55:05,799 Speaker 3: there is a lot of opportunity to create resiliency domestically, 949 00:55:06,080 --> 00:55:08,120 Speaker 3: but also there's a lot of benefits to global trade, 950 00:55:08,160 --> 00:55:10,680 Speaker 3: So how do we think about making rules that encourage that. 951 00:55:11,239 --> 00:55:12,799 Speaker 3: And the thing in the nut of this is is 952 00:55:12,840 --> 00:55:15,960 Speaker 3: that that's going to be a little bit costlier in 953 00:55:16,000 --> 00:55:18,239 Speaker 3: the short term, but what are the costs over the 954 00:55:18,239 --> 00:55:20,319 Speaker 3: long term? What are the cost during a crisis? How 955 00:55:20,400 --> 00:55:23,480 Speaker 3: much money did the federal government had to spend during 956 00:55:23,520 --> 00:55:28,520 Speaker 3: the pandemic to help companies get over their supply chain challenges. 957 00:55:28,600 --> 00:55:31,960 Speaker 3: How much extra money did Americans pay because firms were 958 00:55:32,000 --> 00:55:34,920 Speaker 3: able to charge higher prices than even perhaps they needed 959 00:55:34,960 --> 00:55:40,400 Speaker 3: to because of the crisis. So there are and we 960 00:55:40,520 --> 00:55:43,319 Speaker 3: know that there will be future crises coming. So it's 961 00:55:43,520 --> 00:55:47,200 Speaker 3: government's job to make sure that we're protecting the welfare 962 00:55:47,200 --> 00:55:49,160 Speaker 3: of the nation. This certainly needs to be a part 963 00:55:49,200 --> 00:55:51,719 Speaker 3: of the question. So what are all the tools in 964 00:55:51,719 --> 00:55:54,239 Speaker 3: our toolbox? So maybe some of those tools are about 965 00:55:54,280 --> 00:55:56,799 Speaker 3: how we think about our trade policy, how we think 966 00:55:56,800 --> 00:56:00,680 Speaker 3: about our anti trust policy. Maybe we're using procurement policy. 967 00:56:00,840 --> 00:56:03,640 Speaker 3: But there's a wider range of tools that government should 968 00:56:03,640 --> 00:56:05,880 Speaker 3: be using. So I wouldn't get too wrapped up in 969 00:56:05,920 --> 00:56:08,840 Speaker 3: the one solution, but that this is the question that 970 00:56:08,880 --> 00:56:10,239 Speaker 3: we need to be asking ourselves. 971 00:56:10,520 --> 00:56:14,480 Speaker 2: So I was fascinated by some research you did. At 972 00:56:14,520 --> 00:56:18,680 Speaker 2: the time, there was this concept that highly educated women 973 00:56:18,760 --> 00:56:23,160 Speaker 2: were dropping out of labor force because of the motherhood movement. 974 00:56:23,280 --> 00:56:26,719 Speaker 2: I think the news media picked that up and ran 975 00:56:26,800 --> 00:56:30,200 Speaker 2: with it. Turns out the data really didn't support it. 976 00:56:30,360 --> 00:56:34,279 Speaker 2: Tell us about your research into what was going on 977 00:56:34,400 --> 00:56:39,040 Speaker 2: with the she session that people had been talking about. 978 00:56:38,800 --> 00:56:41,160 Speaker 3: Well, this comes up time and again where you see 979 00:56:41,280 --> 00:56:43,880 Speaker 3: and it's happening now actually, and it happened in the 980 00:56:46,040 --> 00:56:50,319 Speaker 3: early two thousands. They'll see these moments where women their 981 00:56:50,360 --> 00:56:53,200 Speaker 3: labor supply goes down or they don't recover from a recession, 982 00:56:53,520 --> 00:56:56,120 Speaker 3: and people start saying, oh, well, it's definitely because she, 983 00:56:56,520 --> 00:56:58,480 Speaker 3: because women don't want to be in the labor market, 984 00:56:58,480 --> 00:57:01,080 Speaker 3: they'd prefer to not be working, and so this is 985 00:57:01,239 --> 00:57:04,360 Speaker 3: good or this is women's preferences. And then when you 986 00:57:04,400 --> 00:57:07,040 Speaker 3: start scratching the surface and you look at the data, 987 00:57:07,680 --> 00:57:11,640 Speaker 3: you see that actually it tends to be more about 988 00:57:11,640 --> 00:57:14,759 Speaker 3: demand side issues, that those jobs weren't available or they 989 00:57:14,760 --> 00:57:20,160 Speaker 3: weren't providing the supports that families need to deal with 990 00:57:20,200 --> 00:57:23,400 Speaker 3: care issues. So that was the research that I did 991 00:57:23,480 --> 00:57:26,080 Speaker 3: on opting out in the early two thousands, and I've 992 00:57:26,120 --> 00:57:29,840 Speaker 3: been hearing a lot about this more recently with what's 993 00:57:29,840 --> 00:57:32,520 Speaker 3: happened post pandemic, and is a lot of businesses are 994 00:57:32,520 --> 00:57:36,520 Speaker 3: demanding return to office. But with the pairing back of 995 00:57:36,560 --> 00:57:39,640 Speaker 3: the American Rescue Plan and the inability of the Biden 996 00:57:39,680 --> 00:57:42,680 Speaker 3: administration to get all of the care pieces of our 997 00:57:42,840 --> 00:57:47,080 Speaker 3: agenda across the finish line, Senator Mansion stopped the investments 998 00:57:47,120 --> 00:57:51,120 Speaker 3: in home health care for the aged. He stopped those 999 00:57:51,160 --> 00:57:54,080 Speaker 3: investments that we wanted to do for childcare. So a 1000 00:57:54,080 --> 00:57:58,440 Speaker 3: lot of those businesses have really struggled in the past 1001 00:57:58,440 --> 00:58:01,400 Speaker 3: couple of years. You're now seeing that have an effect 1002 00:58:01,440 --> 00:58:04,760 Speaker 3: on women's labor force participation, and people are again talking 1003 00:58:04,760 --> 00:58:06,720 Speaker 3: about this as voluntary, when I think we need to 1004 00:58:06,760 --> 00:58:08,959 Speaker 3: really be looking what kinds of supports are we making 1005 00:58:08,960 --> 00:58:12,480 Speaker 3: sure that families can address their care issues and still 1006 00:58:12,520 --> 00:58:13,760 Speaker 3: participate in the labor market. 1007 00:58:14,160 --> 00:58:16,560 Speaker 2: Thank you, Heather for being so generous with your time. 1008 00:58:16,920 --> 00:58:20,720 Speaker 2: We have been speaking with Heather Bouchet, Senior Research Fellow 1009 00:58:20,760 --> 00:58:24,960 Speaker 2: at the Harvard Kennedy School and her most recent book, Unbound, 1010 00:58:25,480 --> 00:58:29,640 Speaker 2: How economic inequality constricts our economy and what we can 1011 00:58:29,720 --> 00:58:33,480 Speaker 2: do about that? If you enjoy this conversation, well, be 1012 00:58:33,520 --> 00:58:36,480 Speaker 2: sure and check out any of the previous five hundred 1013 00:58:36,480 --> 00:58:40,000 Speaker 2: and fifty we've done over the past eleven years. You 1014 00:58:40,040 --> 00:58:44,480 Speaker 2: can find those at iTunes, Spotify, Bloomberg YouTube, or wherever 1015 00:58:44,560 --> 00:58:47,960 Speaker 2: you find your favorite podcast. Check out my new book 1016 00:58:48,120 --> 00:58:51,880 Speaker 2: How Not to Invest The ideas, numbers, and behavior that 1017 00:58:51,920 --> 00:58:54,720 Speaker 2: destroy wealth and how to avoid them How Not to 1018 00:58:54,840 --> 00:58:58,720 Speaker 2: Invest at your favorite bookstore. I would be remiss if 1019 00:58:58,720 --> 00:59:01,120 Speaker 2: I did not thank our crack team that helps put 1020 00:59:01,160 --> 00:59:06,600 Speaker 2: these conversations together each week. Alexis Noriega and Anna Luke 1021 00:59:06,720 --> 00:59:12,160 Speaker 2: are my producers. Seawan Russo is my researcher. Justin Milner 1022 00:59:12,400 --> 00:59:15,280 Speaker 2: is my audio engineer. Sage Bauman is the head of 1023 00:59:15,320 --> 00:59:19,400 Speaker 2: podcasts at Bloomberg. I'm Barry Ritolts. You're listening to Masters 1024 00:59:19,400 --> 00:59:25,560 Speaker 2: in Business on Bloomberg Radio.