1 00:00:00,240 --> 00:00:02,920 Speaker 1: Bloomberg Benchmark is brought to you by Stage Summit, the 2 00:00:02,920 --> 00:00:06,760 Speaker 1: world's largest gathering of small and medium businesses, featuring Sir 3 00:00:06,880 --> 00:00:12,040 Speaker 1: Richard Branson July in Chicago. Register with Promo code business 4 00:00:12,119 --> 00:00:15,360 Speaker 1: at stage summit dot com for just ninety dollars. As 5 00:00:15,400 --> 00:00:19,120 Speaker 1: a Japanese citizen living and working in San Francisco right now, 6 00:00:19,160 --> 00:00:21,280 Speaker 1: I like to think that I bring quite a lot 7 00:00:21,320 --> 00:00:35,360 Speaker 1: of innovation to the American I would agree that. Hi, 8 00:00:35,400 --> 00:00:38,120 Speaker 1: and welcome back to Bloomberg Benchmark, a show about the 9 00:00:38,120 --> 00:00:41,040 Speaker 1: inner workings of the global economy. I'm Tori stiwell and 10 00:00:41,120 --> 00:00:44,680 Speaker 1: economics reporter for Bloomberg News in our New York bureau today, 11 00:00:45,159 --> 00:00:48,400 Speaker 1: and I'm joined by my co host, Aki Ito, who 12 00:00:48,479 --> 00:00:50,400 Speaker 1: has a new title that she can tell you all 13 00:00:50,440 --> 00:00:54,480 Speaker 1: about shortly. Hey, Torry, how's it going. So it's a 14 00:00:54,560 --> 00:00:57,800 Speaker 1: it's a pretty I don't know, emotional show for us 15 00:00:57,840 --> 00:01:01,560 Speaker 1: ACKI because it's our last one, right, I know, very 16 00:01:01,600 --> 00:01:06,040 Speaker 1: bitter sweet. Why don't you tell everyone where you're moving 17 00:01:06,080 --> 00:01:10,640 Speaker 1: on to the greener pastures you're headed tour? Sure? So 18 00:01:10,800 --> 00:01:15,199 Speaker 1: I just changed teams within Bloomberg and I'm an editor 19 00:01:15,280 --> 00:01:17,280 Speaker 1: on the Tech team now, and so I'm going to 20 00:01:17,400 --> 00:01:22,160 Speaker 1: be helping with our launch of brand new and very 21 00:01:22,200 --> 00:01:26,040 Speaker 1: exciting tech brand under brad Stone. That's terrific and right 22 00:01:26,120 --> 00:01:29,960 Speaker 1: up your alley out there in Silicon Valley. Yeah, it's been. 23 00:01:30,000 --> 00:01:32,560 Speaker 1: It's been really fun and really exciting. I've had a 24 00:01:32,560 --> 00:01:35,560 Speaker 1: lot of fun with it. Uh, Tori, tell us where 25 00:01:35,600 --> 00:01:39,720 Speaker 1: you're gonna be. Come come this fall. This fall, I 26 00:01:39,800 --> 00:01:45,880 Speaker 1: will be locked in a library at law school. Somehow 27 00:01:46,000 --> 00:01:49,000 Speaker 1: the terrifying articles out of the New York Times and 28 00:01:49,040 --> 00:01:53,840 Speaker 1: Bloomberg Business Week haven't dissuaded me from going so amazing 29 00:01:54,320 --> 00:01:58,760 Speaker 1: and permanently hanging up your journalists hat right maybe, I mean, 30 00:01:59,160 --> 00:02:01,040 Speaker 1: who says you can't a home right? Like it could 31 00:02:01,080 --> 00:02:04,200 Speaker 1: always have? But well, we'll always have you back. What 32 00:02:04,200 --> 00:02:06,560 Speaker 1: what kind of law do you want to practice? I 33 00:02:06,600 --> 00:02:09,040 Speaker 1: am actually staying mom on that for now, just because 34 00:02:09,080 --> 00:02:12,800 Speaker 1: I figure it'll probably change once I get into law school. 35 00:02:12,919 --> 00:02:16,720 Speaker 1: So stay tuned. So if our listeners continue to follow 36 00:02:16,800 --> 00:02:19,440 Speaker 1: you on Twitter at Tori still, well maybe in three 37 00:02:19,480 --> 00:02:24,080 Speaker 1: weeks they'll find out. Yeah, probably in lots of like 38 00:02:24,600 --> 00:02:32,119 Speaker 1: boring legal jargon tweets from the Yale Lobby Library. Yeah exactly, 39 00:02:32,639 --> 00:02:36,840 Speaker 1: I love that. So for our final show together, we 40 00:02:36,880 --> 00:02:40,200 Speaker 1: thought we'd tackle a topic that seems to be everywhere 41 00:02:40,240 --> 00:02:44,280 Speaker 1: we look these days, and that is immigration, and specifically 42 00:02:44,360 --> 00:02:48,679 Speaker 1: how immigration affects our economy. Immigration has been a hugely 43 00:02:49,280 --> 00:02:53,040 Speaker 1: or should I say you ugly, I'm trying to do 44 00:02:55,200 --> 00:03:00,440 Speaker 1: my impersonation, get a little breathier like this, but it's 45 00:03:00,480 --> 00:03:03,200 Speaker 1: been a very important topic in the U S election, 46 00:03:03,680 --> 00:03:06,280 Speaker 1: and obviously Donald Trump has garnered a lot of support 47 00:03:06,320 --> 00:03:08,920 Speaker 1: from people who are concerned about the growing number of 48 00:03:09,000 --> 00:03:12,440 Speaker 1: newcomers from other countries here in the US right. And 49 00:03:12,480 --> 00:03:16,120 Speaker 1: in the meantime in the UK, of course, Brexit happened 50 00:03:16,320 --> 00:03:18,600 Speaker 1: and a lot of people who voted to leave the 51 00:03:18,600 --> 00:03:21,720 Speaker 1: EU did so because they wanted more control over the 52 00:03:21,800 --> 00:03:24,560 Speaker 1: number of people coming into the country, so kind of 53 00:03:24,600 --> 00:03:29,240 Speaker 1: this groundswell of anti immigration nativist sentiment and membership in 54 00:03:29,280 --> 00:03:33,480 Speaker 1: the EU is founded on four freedoms guaranteed to citizens 55 00:03:33,520 --> 00:03:36,400 Speaker 1: and companies, and one of those is a free movement 56 00:03:36,400 --> 00:03:39,000 Speaker 1: of people. But for a lot of voters in the UK, 57 00:03:39,320 --> 00:03:44,360 Speaker 1: that freedom became synonymous with uncontrolled immigration. So that's why 58 00:03:44,480 --> 00:03:48,119 Speaker 1: you wanted to use today's show to discuss exactly how 59 00:03:48,160 --> 00:03:50,840 Speaker 1: immigration effects an economy, because there does seem to be 60 00:03:50,880 --> 00:03:53,840 Speaker 1: a lot of emotion and debate about this issue, but 61 00:03:53,920 --> 00:03:58,480 Speaker 1: also a decent amount of misinformation. Right, And because immigration 62 00:03:58,560 --> 00:04:00,720 Speaker 1: is just such a broad topic, and inigration in the 63 00:04:00,800 --> 00:04:04,440 Speaker 1: US can mean something very different from in Japan or 64 00:04:04,480 --> 00:04:08,040 Speaker 1: in Brazil, we're going to be limiting our discussion today 65 00:04:08,080 --> 00:04:10,920 Speaker 1: to the US and to a lesser extent, the UK. 66 00:04:11,720 --> 00:04:14,600 Speaker 1: And so before we bring on our guest, let's run 67 00:04:14,720 --> 00:04:17,279 Speaker 1: through some quick facts about immigrants in the US to 68 00:04:17,320 --> 00:04:20,760 Speaker 1: set this stage. So to start, the US has more 69 00:04:20,839 --> 00:04:24,040 Speaker 1: immigrants than any other country in the world by far. 70 00:04:24,839 --> 00:04:28,720 Speaker 1: Pew Research Center estimates that the foreign born population residing 71 00:04:28,760 --> 00:04:31,600 Speaker 1: in the US reached a record forty two point four 72 00:04:31,760 --> 00:04:36,160 Speaker 1: million in twenty fourteen. That's about fourteen percent of our population. 73 00:04:36,200 --> 00:04:40,640 Speaker 1: And that does include documented as well as undocumented immigrants. Right, 74 00:04:40,880 --> 00:04:46,040 Speaker 1: this includes me too, right, that's right, right, Well, I'm 75 00:04:46,040 --> 00:04:48,119 Speaker 1: on a work visa here, so I guess that's a 76 00:04:48,200 --> 00:04:53,080 Speaker 1: nonimmigrant visa, but I'm a Japanese citizen and Mexicans account 77 00:04:53,120 --> 00:04:56,480 Speaker 1: for the largest share of this, followed by Asian immigrants 78 00:04:56,520 --> 00:05:00,880 Speaker 1: like me. Other Latin Americans came in third, Europeans and 79 00:05:01,000 --> 00:05:05,359 Speaker 1: Canadians came in fourth, and among the new arrivals, Asians 80 00:05:05,480 --> 00:05:10,880 Speaker 1: outnumbered Hispanics. Looking at the unauthorized immigrant population, it actually 81 00:05:10,960 --> 00:05:14,400 Speaker 1: grew very rapidly between nineteen and two thousand and seven, 82 00:05:14,720 --> 00:05:17,440 Speaker 1: but has since sort of leveled off, even declined a 83 00:05:17,440 --> 00:05:20,480 Speaker 1: little bit. It topped out around twelve point two million, 84 00:05:21,080 --> 00:05:24,440 Speaker 1: and now it's closer to eleven point two million, So 85 00:05:24,800 --> 00:05:27,640 Speaker 1: it's actually about a quarter of the U S's overall 86 00:05:27,680 --> 00:05:33,080 Speaker 1: foreign born population, right and zeroing in on the labor force, 87 00:05:33,080 --> 00:05:35,960 Speaker 1: which I think a lot of people care about. Last year, 88 00:05:36,000 --> 00:05:39,760 Speaker 1: there were twenty six point three million foreign born persons 89 00:05:39,800 --> 00:05:43,480 Speaker 1: in the US labor force, so that's about of the total. 90 00:05:43,920 --> 00:05:46,880 Speaker 1: So now that we've got those basics covered, let's get 91 00:05:46,880 --> 00:05:49,279 Speaker 1: our experts on here to really add some color to 92 00:05:49,320 --> 00:05:52,159 Speaker 1: this and help us discuss the arguments in support and 93 00:05:52,320 --> 00:05:57,080 Speaker 1: against immigration control or tighter immigration control. Giovanni Perry is 94 00:05:57,120 --> 00:06:00,640 Speaker 1: an economics professor at the University of California in Davis 95 00:06:00,680 --> 00:06:05,000 Speaker 1: who has done extensive research on immigration. Giovanni, welcome, well, 96 00:06:05,120 --> 00:06:08,240 Speaker 1: thank you, it's a pleasure to be here. Giovanni, tell 97 00:06:08,360 --> 00:06:11,040 Speaker 1: us a little bit about you and how you became 98 00:06:11,120 --> 00:06:15,479 Speaker 1: interested in immigration in the first place. Yes, there is 99 00:06:15,480 --> 00:06:18,239 Speaker 1: a little bit of a personal and the professional story. 100 00:06:18,279 --> 00:06:21,240 Speaker 1: So personally, I was a college student in Europe in 101 00:06:21,279 --> 00:06:23,400 Speaker 1: Italy in the early nineties, and there was the period 102 00:06:23,720 --> 00:06:27,360 Speaker 1: in which Western Europe had the first wave of Eastern 103 00:06:27,440 --> 00:06:30,560 Speaker 1: European immigrants. In Italy, they were mainly Albanian and then 104 00:06:30,600 --> 00:06:33,839 Speaker 1: immigrants from North Africa. And when I finished college, I 105 00:06:33,880 --> 00:06:36,320 Speaker 1: worked actually in a center that helped them to find 106 00:06:36,320 --> 00:06:38,400 Speaker 1: a job, to learn the language and put them on 107 00:06:38,480 --> 00:06:42,440 Speaker 1: their way, and I actually saw the huge amount of talent, abilities, 108 00:06:42,600 --> 00:06:45,200 Speaker 1: skills that there was there. And then as soon as 109 00:06:45,240 --> 00:06:46,960 Speaker 1: I finished with this, I came to the US as 110 00:06:46,960 --> 00:06:49,520 Speaker 1: a graduate student, and I was on the other side, 111 00:06:49,800 --> 00:06:53,440 Speaker 1: and I experienced how many graduate students were from all 112 00:06:53,480 --> 00:06:56,240 Speaker 1: over the world coming to the US with their talent, 113 00:06:56,360 --> 00:07:00,400 Speaker 1: abilities and motivation, and uh in Berkeley, I would say 114 00:07:00,400 --> 00:07:03,159 Speaker 1: that good half of the students that interacted with were 115 00:07:03,160 --> 00:07:04,920 Speaker 1: from the rest of the world. And so I really 116 00:07:04,920 --> 00:07:08,440 Speaker 1: started thinking how incredibly valuable this potential could have been 117 00:07:08,640 --> 00:07:11,880 Speaker 1: from an economic point of view. Professionally, I started my 118 00:07:11,960 --> 00:07:16,440 Speaker 1: career working on the impact of education, skills and abilities 119 00:07:16,760 --> 00:07:20,200 Speaker 1: on economic growth of American cities. I focused on the 120 00:07:20,280 --> 00:07:23,400 Speaker 1: US metropolitan areas in the last twenty years, and obviously 121 00:07:23,600 --> 00:07:26,680 Speaker 1: by researching this, the topic of immigration come very soon 122 00:07:26,720 --> 00:07:29,560 Speaker 1: because a lot of these cities have prospered and growth 123 00:07:29,640 --> 00:07:32,360 Speaker 1: thanks to the skill and ability of many immigrants, and 124 00:07:32,440 --> 00:07:35,680 Speaker 1: that's how I grew particularly interested. Now I really think 125 00:07:35,680 --> 00:07:38,640 Speaker 1: that immigration is one of the big forces that is 126 00:07:38,680 --> 00:07:42,800 Speaker 1: shaping our economic world and social world, and I think 127 00:07:42,840 --> 00:07:45,240 Speaker 1: we need to understand it much better than we do now. 128 00:07:45,840 --> 00:07:49,480 Speaker 1: Well gif any, it seems like the basic debate around immigration, 129 00:07:49,560 --> 00:07:51,800 Speaker 1: and correct me if I'm wrong, is that either helps 130 00:07:52,000 --> 00:07:56,160 Speaker 1: or hurts the economy. And it seems like there's also 131 00:07:56,200 --> 00:07:58,360 Speaker 1: some gray area in there, but there seems to be 132 00:07:58,640 --> 00:08:01,600 Speaker 1: that's the major fault line. So let's walk through the 133 00:08:01,640 --> 00:08:05,680 Speaker 1: claims on both side, and I think both sides, excuse me, 134 00:08:05,720 --> 00:08:08,679 Speaker 1: and I think on on the help side, the obvious 135 00:08:08,680 --> 00:08:11,520 Speaker 1: one in my head is that it makes the economy bigger. 136 00:08:11,600 --> 00:08:17,360 Speaker 1: We have more people working. Yes, so immigration increases the 137 00:08:17,440 --> 00:08:21,000 Speaker 1: size of the labor force, but more interestingly increases the 138 00:08:21,080 --> 00:08:25,040 Speaker 1: variety and the different number of skills and abilities that 139 00:08:25,080 --> 00:08:27,840 Speaker 1: there are in the labor force. For a modern economy, 140 00:08:28,080 --> 00:08:31,360 Speaker 1: it's very important to have available a large thick, as 141 00:08:31,400 --> 00:08:35,280 Speaker 1: economists to say, labor force that can do different tasks 142 00:08:35,320 --> 00:08:39,120 Speaker 1: and productive function, So you gave some number at the beginning. 143 00:08:39,280 --> 00:08:42,160 Speaker 1: I want to emphasize that immigration in the US has 144 00:08:42,240 --> 00:08:46,480 Speaker 1: been a very balanced and very highly represented throughout the 145 00:08:46,600 --> 00:08:49,679 Speaker 1: range of skills. So there are a lot of less 146 00:08:49,920 --> 00:08:53,360 Speaker 1: educated manual type of worker which are immigrants, but there 147 00:08:53,360 --> 00:08:58,239 Speaker 1: are also a lot of very highly and highly educated scientists, engineers, 148 00:08:58,280 --> 00:09:02,280 Speaker 1: and technology workers who are immigrants. So this very large 149 00:09:02,320 --> 00:09:06,079 Speaker 1: and broad spectrum of skills, combined with the fact that 150 00:09:06,120 --> 00:09:10,360 Speaker 1: when immigrants came into an economy, they not only supply labor, 151 00:09:10,400 --> 00:09:14,880 Speaker 1: but they also consume. They start companies, they invest, create 152 00:09:15,040 --> 00:09:18,040 Speaker 1: an increasing the size of the economy, and that's where 153 00:09:18,120 --> 00:09:21,760 Speaker 1: the positive impact of them come from, right right, So 154 00:09:21,800 --> 00:09:25,640 Speaker 1: on the low inside they might be people from more 155 00:09:25,720 --> 00:09:29,679 Speaker 1: developing economies who do jobs that other Americans don't want 156 00:09:29,679 --> 00:09:33,360 Speaker 1: to do. And then on the higher, higher income side, 157 00:09:33,400 --> 00:09:36,559 Speaker 1: the higher inside, it's kind of the high scaled immigration 158 00:09:36,600 --> 00:09:39,520 Speaker 1: that you hear a lot in Silicon Valley about the 159 00:09:39,600 --> 00:09:44,040 Speaker 1: need from more computer programmers and other technical talent. Yes, 160 00:09:44,240 --> 00:09:46,959 Speaker 1: so let me go a little bit more in depth 161 00:09:47,000 --> 00:09:49,679 Speaker 1: into this partition that you did, which I think is 162 00:09:49,760 --> 00:09:53,160 Speaker 1: very important. You use this word at the low end 163 00:09:53,400 --> 00:09:57,840 Speaker 1: of the education, so relatively unskilled manual workers do jobs 164 00:09:57,840 --> 00:10:01,880 Speaker 1: that Americans don't want to do. So the way economists 165 00:10:01,920 --> 00:10:05,760 Speaker 1: explain this is that Americans, because they have are becoming 166 00:10:05,800 --> 00:10:09,319 Speaker 1: more educated, they're also becoming older as a society, are 167 00:10:09,400 --> 00:10:14,920 Speaker 1: quickly moving out of some manually intensive, relatively unskilled type 168 00:10:14,920 --> 00:10:17,640 Speaker 1: of jobs. But the demand for this is relatively high. 169 00:10:17,679 --> 00:10:23,240 Speaker 1: I think of manual job in personal service, childcare, elderly care, construction, 170 00:10:23,320 --> 00:10:28,640 Speaker 1: agricultural services. These are typically job that are filled then 171 00:10:28,679 --> 00:10:32,959 Speaker 1: with immigrants, and immigrants by taking this job allow companies 172 00:10:33,000 --> 00:10:36,240 Speaker 1: and economies that leave off this type of activity to 173 00:10:36,320 --> 00:10:40,479 Speaker 1: expand and to grow and to create related job connected 174 00:10:40,640 --> 00:10:44,160 Speaker 1: job that actually Americans will do. So a construction company 175 00:10:44,360 --> 00:10:48,400 Speaker 1: will certainly need construction worker, but we'll also need engineers, 176 00:10:48,640 --> 00:10:53,319 Speaker 1: sales representative, accountants, And with the company staying in business 177 00:10:53,360 --> 00:10:56,520 Speaker 1: because it can hire immigrants, it will grow and higher 178 00:10:56,559 --> 00:11:00,480 Speaker 1: in other type of job where most Americans actually will work. 179 00:11:00,920 --> 00:11:05,240 Speaker 1: So that's it's the complimentarity measure rather than the competition 180 00:11:05,360 --> 00:11:09,280 Speaker 1: only of immigrants that opens up this possibility that actually 181 00:11:09,600 --> 00:11:13,080 Speaker 1: more immigrants not only grow the economy but can actually 182 00:11:13,600 --> 00:11:18,800 Speaker 1: create job opportunities for American workers. And that's one of 183 00:11:18,840 --> 00:11:22,280 Speaker 1: the channels through which this positive effect works. Of course, 184 00:11:22,320 --> 00:11:24,800 Speaker 1: at the high end of the spectrum, the scientists an 185 00:11:24,840 --> 00:11:28,280 Speaker 1: engineer are even more if anything, needed for company to 186 00:11:28,360 --> 00:11:32,200 Speaker 1: grow and to increase in size. And so, as you say, 187 00:11:32,400 --> 00:11:35,160 Speaker 1: certainly Silicon Valley is an example in where a very 188 00:11:35,240 --> 00:11:38,839 Speaker 1: large number of immigrants has allowed the sector to grow 189 00:11:38,920 --> 00:11:42,360 Speaker 1: to hav an world leadership and to give job to 190 00:11:42,559 --> 00:11:45,480 Speaker 1: a lot of others American too. So the fallacy that 191 00:11:45,520 --> 00:11:48,559 Speaker 1: there is one job and if it's taken by immigrant, 192 00:11:48,640 --> 00:11:52,360 Speaker 1: is not taken by native is a fallacy because the 193 00:11:52,440 --> 00:11:54,800 Speaker 1: number of jobs not fixed in an economy, and economy 194 00:11:54,840 --> 00:11:58,000 Speaker 1: that can grow thanks also to the contribution of immigrants 195 00:11:58,040 --> 00:12:01,360 Speaker 1: can create job And so why more immigrants is more 196 00:12:01,400 --> 00:12:04,160 Speaker 1: than one more job? Is one more job for him 197 00:12:04,280 --> 00:12:06,680 Speaker 1: or her and then more jobs for the rest of 198 00:12:06,679 --> 00:12:09,959 Speaker 1: the economy. And I think another argument that I've read 199 00:12:10,000 --> 00:12:14,640 Speaker 1: in various researches that um, when immigrants do take lower wages, 200 00:12:14,679 --> 00:12:17,120 Speaker 1: either because you know, they really want this job or 201 00:12:17,120 --> 00:12:20,480 Speaker 1: that matches with their skill set, whatever it is, that 202 00:12:20,559 --> 00:12:23,480 Speaker 1: can help keep costs low for businesses, which means higher 203 00:12:23,480 --> 00:12:25,720 Speaker 1: profits for them. It could also mean lower costs for 204 00:12:25,720 --> 00:12:28,240 Speaker 1: American consumers. So that's something to think about as well. 205 00:12:28,240 --> 00:12:30,520 Speaker 1: But I do want to turn to sort of the 206 00:12:30,640 --> 00:12:34,160 Speaker 1: argument for tighter immigration controls or I don't. I don't 207 00:12:34,200 --> 00:12:35,960 Speaker 1: know if we want to call it against immigrants. I 208 00:12:35,960 --> 00:12:39,480 Speaker 1: don't think that fits necessarily. But you touched on it 209 00:12:39,559 --> 00:12:43,280 Speaker 1: just now. Immigrants take jobs at Americans need. So this 210 00:12:43,360 --> 00:12:46,479 Speaker 1: idea that instead of it being complimentary, as you mentioned, 211 00:12:46,720 --> 00:12:50,240 Speaker 1: there is just one job and the immigrant takes it, 212 00:12:50,280 --> 00:12:52,800 Speaker 1: and then you know that leaves a native born worker 213 00:12:53,240 --> 00:12:56,720 Speaker 1: without a job that might fit his or her skill set. 214 00:12:56,760 --> 00:12:59,960 Speaker 1: And if we look at that argument, Giovanni, who would 215 00:13:00,080 --> 00:13:02,839 Speaker 1: be the types of workers, the types of American workers 216 00:13:02,880 --> 00:13:07,560 Speaker 1: who would be most impacted by that. Given that at 217 00:13:07,720 --> 00:13:12,080 Speaker 1: the low end of the skill spectrum, immigrants are tendentially 218 00:13:12,120 --> 00:13:17,359 Speaker 1: taking these manual intensive jobs in agriculture, construction, and services, 219 00:13:17,800 --> 00:13:22,040 Speaker 1: American worker who do the more directly jobs which are 220 00:13:22,080 --> 00:13:26,440 Speaker 1: more directly in competition with them, will be more at risk. Now, 221 00:13:26,640 --> 00:13:28,880 Speaker 1: the data show that a lot of Americans have actually 222 00:13:28,880 --> 00:13:32,560 Speaker 1: moved out of this job at a relatively quick uh speed, 223 00:13:33,160 --> 00:13:36,560 Speaker 1: And in places where immigrants are, Americans move out and 224 00:13:36,600 --> 00:13:41,280 Speaker 1: do jobs which are more um more interactive, So they 225 00:13:41,280 --> 00:13:44,720 Speaker 1: go from being construction worker to supervisor. They go from 226 00:13:44,800 --> 00:13:48,240 Speaker 1: being agricultural worker to farm manager at a faster speed 227 00:13:48,280 --> 00:13:51,520 Speaker 1: when immigrants arrived, because they have to find other niches 228 00:13:51,640 --> 00:13:55,800 Speaker 1: where they can compliment and take advantage of the richer 229 00:13:55,880 --> 00:13:59,880 Speaker 1: structure of skill in the economy. But certainly low educate 230 00:14:00,040 --> 00:14:03,400 Speaker 1: the older worker who will have a hard time transitioning 231 00:14:03,600 --> 00:14:06,840 Speaker 1: are the one who could be more at risk. Inaggregate, 232 00:14:06,880 --> 00:14:08,480 Speaker 1: I would say that most of the data and most 233 00:14:08,520 --> 00:14:11,719 Speaker 1: of the research in the United States, both looking at 234 00:14:11,800 --> 00:14:15,400 Speaker 1: the cities, at states that counties, does not seem to 235 00:14:15,440 --> 00:14:19,560 Speaker 1: find a net negative effect on the jobs even of 236 00:14:19,640 --> 00:14:23,480 Speaker 1: relatively low skilled Americans, but certainly some specific categories and 237 00:14:23,560 --> 00:14:27,160 Speaker 1: some specific group of workers who are displaced at least 238 00:14:27,240 --> 00:14:31,280 Speaker 1: in the short run by this, immigrants could be for 239 00:14:31,320 --> 00:14:34,800 Speaker 1: a while at least suffering out of this, right, And 240 00:14:34,840 --> 00:14:37,560 Speaker 1: do you have funny what about on the wages side, 241 00:14:37,680 --> 00:14:40,600 Speaker 1: because supply and demand just tells us that if you 242 00:14:40,840 --> 00:14:43,720 Speaker 1: increase the number of workers, that would lead to a 243 00:14:43,800 --> 00:14:47,720 Speaker 1: suppression and wages. What are your thoughts on that? Yeah, 244 00:14:47,840 --> 00:14:50,480 Speaker 1: the supply and demand will tell you what you just said, 245 00:14:50,520 --> 00:14:53,800 Speaker 1: that if you are comparing oranges with oranges the same 246 00:14:53,800 --> 00:14:55,920 Speaker 1: type of workers. So if you have one type of worker, 247 00:14:55,920 --> 00:14:58,560 Speaker 1: and you increase the supply, then the wage of those 248 00:14:58,600 --> 00:15:02,000 Speaker 1: will go down, but if nothing else changes obviously, but 249 00:15:02,200 --> 00:15:04,080 Speaker 1: there are a couple of things which actually happen when 250 00:15:04,080 --> 00:15:07,280 Speaker 1: immigrants come first. As I said, they have somewhat different skills, 251 00:15:07,360 --> 00:15:09,600 Speaker 1: so they take type of niches which are not the 252 00:15:09,640 --> 00:15:13,680 Speaker 1: same as the one where Americans are. Second, when American 253 00:15:13,800 --> 00:15:18,400 Speaker 1: immigrant workers come in, firms respond to this so invest more, 254 00:15:18,640 --> 00:15:21,600 Speaker 1: look for more highers, and this increases capital and so 255 00:15:21,640 --> 00:15:24,840 Speaker 1: it may in turn increase demand. So certainly there is 256 00:15:24,880 --> 00:15:28,000 Speaker 1: a little bit of this competition effect, because as we said, 257 00:15:28,000 --> 00:15:30,680 Speaker 1: there are some worker in direct competition, but there is 258 00:15:30,720 --> 00:15:34,200 Speaker 1: also some effect in complimentarity. So you have to look 259 00:15:34,560 --> 00:15:37,760 Speaker 1: again in aggregate. But that very simple model in which 260 00:15:37,760 --> 00:15:41,040 Speaker 1: when you increase supply the wages go down is only 261 00:15:41,040 --> 00:15:43,880 Speaker 1: true if I have identical workers and if everything else 262 00:15:44,240 --> 00:15:47,920 Speaker 1: is completely constant. Immigrant and me emphasize this other point, 263 00:15:48,080 --> 00:15:50,480 Speaker 1: do not come in all at a certain point. They 264 00:15:50,520 --> 00:15:53,840 Speaker 1: have been coming in relatively slowly, so the economy that 265 00:15:53,880 --> 00:15:57,640 Speaker 1: has received them has had time to invest to adjust, 266 00:15:58,120 --> 00:16:02,480 Speaker 1: and worker American worker had time to recalibrate their specialization, 267 00:16:02,560 --> 00:16:06,120 Speaker 1: their education. Also, as a consequence of immigration, so I 268 00:16:06,120 --> 00:16:09,600 Speaker 1: would say that the long run effects are the more important, 269 00:16:09,640 --> 00:16:11,760 Speaker 1: the one in which you not only look at the 270 00:16:11,960 --> 00:16:15,760 Speaker 1: increasing supply of immigrant worker, but also you see how 271 00:16:15,800 --> 00:16:19,760 Speaker 1: American firm respond to that and how American workers specialization 272 00:16:19,880 --> 00:16:23,280 Speaker 1: changes as a consequence of that. In that type of framework, 273 00:16:23,280 --> 00:16:27,400 Speaker 1: which happens over five ten years, American worker tend to 274 00:16:27,600 --> 00:16:30,800 Speaker 1: be more differentiated from immigrants and so tend to suffer 275 00:16:30,920 --> 00:16:34,040 Speaker 1: less and benefit more in their wages, in their productivity 276 00:16:34,080 --> 00:16:37,400 Speaker 1: from the influence of immigrants on wages. I wanted to 277 00:16:37,400 --> 00:16:39,080 Speaker 1: say one more thing, which has to do with the 278 00:16:39,200 --> 00:16:42,960 Speaker 1: highly skilled. The highly skilled scientists an engineer are a 279 00:16:43,000 --> 00:16:47,560 Speaker 1: clear input to American technological growth, maybe one of the 280 00:16:47,560 --> 00:16:51,240 Speaker 1: most important inputs. And American technological growth in the last 281 00:16:51,280 --> 00:16:54,880 Speaker 1: fourty years has been the main reason why productivity in 282 00:16:54,880 --> 00:16:58,400 Speaker 1: the US have grown and with it wages. So in 283 00:16:58,480 --> 00:17:01,240 Speaker 1: the long run, having more of the group can actually 284 00:17:01,280 --> 00:17:05,240 Speaker 1: result in higher wages because of higher productivity of everybody. 285 00:17:05,280 --> 00:17:08,840 Speaker 1: Think of how information technology is transformed the way we 286 00:17:08,920 --> 00:17:12,040 Speaker 1: do a lot of things in healthcare, in the services, 287 00:17:12,040 --> 00:17:14,880 Speaker 1: in education, and how the productivity of worker has gone 288 00:17:14,920 --> 00:17:17,199 Speaker 1: up because of that. If you think that part of 289 00:17:17,200 --> 00:17:20,520 Speaker 1: that innovation and that changes is brought by that segment 290 00:17:20,560 --> 00:17:23,160 Speaker 1: of immigrants, then you have a very big, long run 291 00:17:23,200 --> 00:17:26,879 Speaker 1: effect on wages that could be actually very positive. So 292 00:17:26,960 --> 00:17:29,600 Speaker 1: we're gonna take a quick break to digest all of this, 293 00:17:29,880 --> 00:17:31,520 Speaker 1: and when we come back, we're going to talk a 294 00:17:31,600 --> 00:17:34,879 Speaker 1: little bit more about the history of immigration and also 295 00:17:35,000 --> 00:17:38,200 Speaker 1: why this topic has become so big now in both 296 00:17:38,240 --> 00:17:40,800 Speaker 1: the US and the UK, and how this tension could 297 00:17:40,800 --> 00:17:49,560 Speaker 1: be resolved after we come back. Bloomberg Benchmark is brought 298 00:17:49,600 --> 00:17:52,119 Speaker 1: to you by Stage Summit, the world's largest gathering of 299 00:17:52,240 --> 00:17:57,920 Speaker 1: small and medium businesses featuring Sir Richard Branson July Chicago, 300 00:17:58,359 --> 00:18:01,360 Speaker 1: registered with promo code business at stage summit dot com. 301 00:18:01,440 --> 00:18:12,480 Speaker 1: For just well, so you have anny um. I mean, 302 00:18:12,520 --> 00:18:15,080 Speaker 1: one more thing that we didn't talk about just now 303 00:18:15,560 --> 00:18:19,919 Speaker 1: was the whole idea of use of public services and 304 00:18:19,960 --> 00:18:21,960 Speaker 1: the tax base. And that's sort of just a whole 305 00:18:22,119 --> 00:18:26,240 Speaker 1: other can of worms that we could talk about at length. 306 00:18:26,520 --> 00:18:30,120 Speaker 1: But is there anything that the research shows there, because there, 307 00:18:30,280 --> 00:18:33,000 Speaker 1: you know, there is this notion out there that immigrants 308 00:18:33,040 --> 00:18:35,359 Speaker 1: come in and they use all these government services and 309 00:18:35,400 --> 00:18:38,800 Speaker 1: they don't pay their fair share into the system. Well, 310 00:18:38,880 --> 00:18:41,760 Speaker 1: so again, let me separate the effect of high and 311 00:18:41,840 --> 00:18:45,440 Speaker 1: less educated UH and argue that each one of them 312 00:18:45,440 --> 00:18:48,480 Speaker 1: probably does not impact too much, does not have a 313 00:18:48,480 --> 00:18:51,160 Speaker 1: big fiscal impact on the US. So they highly educated, 314 00:18:51,400 --> 00:18:54,560 Speaker 1: typically they will have an average wage which is higher 315 00:18:54,600 --> 00:18:57,159 Speaker 1: than the average Americans, so they will contribute more in 316 00:18:57,200 --> 00:18:59,480 Speaker 1: the system that they take moreover, many of them come 317 00:18:59,600 --> 00:19:01,240 Speaker 1: when they are young, and so they have a long 318 00:19:01,359 --> 00:19:04,840 Speaker 1: contributing life ahead of them before start taking anything out 319 00:19:04,880 --> 00:19:08,040 Speaker 1: of this UH in social security. So, in fact, having 320 00:19:08,040 --> 00:19:11,080 Speaker 1: more highly skilled immigrant is a general consensus is a 321 00:19:11,119 --> 00:19:14,399 Speaker 1: way of improving significantly the fiscal balance of the US 322 00:19:14,960 --> 00:19:18,440 Speaker 1: less educated. Well, there is this interesting fact a low 323 00:19:18,560 --> 00:19:22,160 Speaker 1: educated immigrants in the US are working in a very 324 00:19:22,240 --> 00:19:25,760 Speaker 1: large part um. They are as you were saying before, 325 00:19:25,800 --> 00:19:30,040 Speaker 1: in large part Mexican or Latino who are employed. UM. 326 00:19:30,440 --> 00:19:34,400 Speaker 1: And they given that a very big share of them 327 00:19:34,480 --> 00:19:37,439 Speaker 1: is actually undocumented, that they don't have access currently to 328 00:19:37,600 --> 00:19:41,919 Speaker 1: any of the welfare and the welfare benefits that the 329 00:19:42,040 --> 00:19:45,159 Speaker 1: US guaranteed. They don't have access to food stamps, to 330 00:19:45,359 --> 00:19:48,760 Speaker 1: welfare transfer, to unemployment transfer. But on the other hand, 331 00:19:49,000 --> 00:19:52,080 Speaker 1: they pay a large chunk of taxes. They pay certainly 332 00:19:52,119 --> 00:19:55,840 Speaker 1: consumption taxes, certainly the real estate through the rent that 333 00:19:55,880 --> 00:19:58,480 Speaker 1: they pay. Some of them even pay income taxes through 334 00:19:58,520 --> 00:20:01,119 Speaker 1: the fake Social Security in number that they have they 335 00:20:01,119 --> 00:20:04,800 Speaker 1: pay social Security tax. So the net accounting even therefore 336 00:20:04,880 --> 00:20:08,679 Speaker 1: less educated, is that currently they probably contribute more than 337 00:20:08,720 --> 00:20:11,320 Speaker 1: they take out in the system. And of course this 338 00:20:11,400 --> 00:20:14,360 Speaker 1: will change if there is a regularization which allow them 339 00:20:14,400 --> 00:20:17,679 Speaker 1: to access some of the benefit of the US. But 340 00:20:18,240 --> 00:20:20,160 Speaker 1: you have to keep in mind the debt. The welfare 341 00:20:20,240 --> 00:20:22,840 Speaker 1: state in the US is not too generous and it's 342 00:20:22,920 --> 00:20:27,880 Speaker 1: only really very restricted to citizen. Even temporary worker, temporary 343 00:20:28,119 --> 00:20:31,280 Speaker 1: immigrant on temporary visa do not have access to these benefits. 344 00:20:31,359 --> 00:20:34,600 Speaker 1: So chances are that they will stay as an active 345 00:20:34,640 --> 00:20:39,000 Speaker 1: contributor to the US public sector even if they are legalized, 346 00:20:39,359 --> 00:20:43,160 Speaker 1: as long as or before getting their citizenship. So overall, 347 00:20:43,200 --> 00:20:45,680 Speaker 1: I don't think there are bad news on that side either. 348 00:20:45,960 --> 00:20:48,840 Speaker 1: Overall it looks like they could be a net fiscal 349 00:20:48,920 --> 00:20:51,840 Speaker 1: positive for the US, and I mean welfare. Are welfare 350 00:20:51,880 --> 00:20:56,120 Speaker 1: systems generosity in comparison to to Europe, for example, Yes, yes, 351 00:20:56,160 --> 00:20:59,760 Speaker 1: in comparison to Europe, in particularly northern Europe is certainly 352 00:20:59,840 --> 00:21:02,359 Speaker 1: my too much more limited than the U S. Generals, 353 00:21:02,760 --> 00:21:05,000 Speaker 1: Do you have funny before we went to break you 354 00:21:05,040 --> 00:21:09,439 Speaker 1: talked about how lower educated older workers are probably going 355 00:21:09,480 --> 00:21:11,679 Speaker 1: to be the ones who lose out the most with 356 00:21:11,800 --> 00:21:15,000 Speaker 1: an influx of immigration. Although it's it is also difficult 357 00:21:15,040 --> 00:21:17,600 Speaker 1: to kind of compare you know, you said it wasn't 358 00:21:17,600 --> 00:21:21,840 Speaker 1: an orange is oranges comparison um. And of course in 359 00:21:22,000 --> 00:21:24,399 Speaker 1: the UK it seems like a lot of people who 360 00:21:24,600 --> 00:21:28,880 Speaker 1: voted to leave the European Union were lower educated, lower income, 361 00:21:29,480 --> 00:21:33,919 Speaker 1: older voters. So why do you think immigration has become 362 00:21:34,359 --> 00:21:37,000 Speaker 1: such a hot topic these days, both in the US 363 00:21:37,119 --> 00:21:40,199 Speaker 1: and the UK. And I wonder how you see the 364 00:21:40,320 --> 00:21:45,240 Speaker 1: tension being resolved somehow. So I have a couple of 365 00:21:45,359 --> 00:21:49,600 Speaker 1: potential explanation or reason why immigration is at such a 366 00:21:49,600 --> 00:21:52,560 Speaker 1: hot bottom. So one is that it is true that 367 00:21:52,640 --> 00:21:57,200 Speaker 1: a relatively older middle class worker in western countries have 368 00:21:57,359 --> 00:21:59,920 Speaker 1: not done very well in general in terms of wages 369 00:22:00,200 --> 00:22:03,120 Speaker 1: and income. In the last ten twenty years. The wages 370 00:22:03,160 --> 00:22:08,040 Speaker 1: of the median, particularly older worker in the US and 371 00:22:08,080 --> 00:22:10,640 Speaker 1: in the UK and Europe has not grown very much. 372 00:22:10,840 --> 00:22:14,280 Speaker 1: Now economists tend to agree that immigration probably has nothing 373 00:22:14,320 --> 00:22:18,119 Speaker 1: to do with this. In large parties technology technology is 374 00:22:18,200 --> 00:22:21,040 Speaker 1: mechanized and informatized. A lot of the jobs that used 375 00:22:21,040 --> 00:22:24,240 Speaker 1: to be relatively well paid in parties globalization. There of 376 00:22:24,240 --> 00:22:26,080 Speaker 1: course there is trade and some of these jobs have 377 00:22:26,119 --> 00:22:29,280 Speaker 1: been assured. But even if immigration is not the cause 378 00:22:29,320 --> 00:22:32,320 Speaker 1: of this, or at least economists can pinpoint that it 379 00:22:32,440 --> 00:22:35,760 Speaker 1: is not the cause of this, in the imagery that 380 00:22:35,920 --> 00:22:38,439 Speaker 1: is proposed, it's very easy to say, oh, look, you 381 00:22:38,480 --> 00:22:40,159 Speaker 1: have not been doing very well, and there is a 382 00:22:40,240 --> 00:22:43,320 Speaker 1: simple explanation. Are the immigrants that come in? Because there 383 00:22:43,359 --> 00:22:45,840 Speaker 1: is a simple solution. Close the border and the problem 384 00:22:45,880 --> 00:22:50,640 Speaker 1: goes away. So simple and very characterization of the problem, 385 00:22:50,760 --> 00:22:53,960 Speaker 1: I would say incorrect. And then simple solution maybe is 386 00:22:53,960 --> 00:22:56,400 Speaker 1: appealing from a political point of view. I was doing 387 00:22:56,440 --> 00:22:59,560 Speaker 1: a piece of research and um, it's said that wages 388 00:22:59,600 --> 00:23:02,879 Speaker 1: have been and stagnant in in the UK for a while. 389 00:23:02,920 --> 00:23:06,199 Speaker 1: Housing is hard to find and and expensive, and at 390 00:23:06,200 --> 00:23:10,000 Speaker 1: the same time of government austerity. Um, that's making public 391 00:23:10,000 --> 00:23:13,000 Speaker 1: services causing kind of a crunch there. And so it's 392 00:23:13,119 --> 00:23:15,760 Speaker 1: very easy to look at that scenario and say, wow, 393 00:23:15,760 --> 00:23:19,600 Speaker 1: if we had less people, maybe this would be easier 394 00:23:19,640 --> 00:23:22,960 Speaker 1: to deal with. Yes, correctly, So it's easy to make 395 00:23:23,000 --> 00:23:26,040 Speaker 1: the connection. And I think even this this little model 396 00:23:26,119 --> 00:23:29,080 Speaker 1: that you were mentioning before, increase the supply and wages 397 00:23:29,119 --> 00:23:31,840 Speaker 1: go down. I think people think that they understand it, 398 00:23:32,080 --> 00:23:34,119 Speaker 1: and I think that the economy is just as simple 399 00:23:34,160 --> 00:23:36,520 Speaker 1: as that, and so that's also part of the easy 400 00:23:36,560 --> 00:23:40,320 Speaker 1: communication of that part. So that's one. The other reason 401 00:23:40,359 --> 00:23:44,480 Speaker 1: is that I think immigration involves many other sentiments besides economics. 402 00:23:44,480 --> 00:23:48,080 Speaker 1: And obviously there are a sequence of cultural security type 403 00:23:48,080 --> 00:23:50,159 Speaker 1: of issues, and so it's easy to just bundle up 404 00:23:50,240 --> 00:23:54,440 Speaker 1: everything and propose one solution to all of the poes 405 00:23:54,600 --> 00:23:59,240 Speaker 1: of the modern society in pushing away immigrants. I really think, though, 406 00:23:59,560 --> 00:24:03,399 Speaker 1: that is neither unique to this country nor unique to 407 00:24:03,520 --> 00:24:07,800 Speaker 1: our time. The US has gone through several periods of 408 00:24:07,840 --> 00:24:11,280 Speaker 1: a very strong anti immigration sentiment. In the nineteen tents 409 00:24:11,400 --> 00:24:14,760 Speaker 1: nineteen twenties, when immigrants were at a level which was 410 00:24:14,800 --> 00:24:18,879 Speaker 1: as high as today, incredibly staugh draconian law against immigration 411 00:24:18,920 --> 00:24:22,840 Speaker 1: were passed because the Italian, the Irish, the Polish were 412 00:24:22,840 --> 00:24:26,560 Speaker 1: seen as these new immigrants stealing jobs and also bringing 413 00:24:26,640 --> 00:24:30,800 Speaker 1: culture and risks that were not known before. So we 414 00:24:30,840 --> 00:24:33,359 Speaker 1: need to have also patients because history has been going 415 00:24:33,400 --> 00:24:37,439 Speaker 1: through this before, and I think informing people about the 416 00:24:37,520 --> 00:24:42,960 Speaker 1: facts and emphasizing the importance of I think correct economic 417 00:24:43,040 --> 00:24:46,960 Speaker 1: understanding in order to do good policy is very important 418 00:24:47,160 --> 00:24:50,240 Speaker 1: today as it was in the past. So tor Funny, 419 00:24:50,400 --> 00:24:53,520 Speaker 1: is it safe to say that you think immigration is 420 00:24:53,560 --> 00:24:57,520 Speaker 1: generally good for an economy. Yes, I would say that 421 00:24:57,600 --> 00:25:01,280 Speaker 1: in general it is. Let me add this general classification 422 00:25:01,320 --> 00:25:04,959 Speaker 1: of immigration that are also different from the perception. Immigration 423 00:25:05,000 --> 00:25:07,040 Speaker 1: in general, certainly to the U S and the u 424 00:25:07,119 --> 00:25:10,400 Speaker 1: k S has been more high skilled and low skilled. 425 00:25:10,520 --> 00:25:12,880 Speaker 1: If you look at the spectrum, there is a little 426 00:25:12,960 --> 00:25:16,879 Speaker 1: higher percentage of college educated in immigrants than in the population. 427 00:25:16,880 --> 00:25:19,920 Speaker 1: So immigration has been good also because it has increased 428 00:25:19,960 --> 00:25:22,959 Speaker 1: the level of education of the receiving country. And second, 429 00:25:23,160 --> 00:25:27,800 Speaker 1: immigration happens relatively slowly, so that country have been able 430 00:25:27,840 --> 00:25:31,320 Speaker 1: to adjust. Immigration is a force that changes the economy, 431 00:25:31,680 --> 00:25:35,040 Speaker 1: and if countries take this opportunity in the long run, 432 00:25:35,280 --> 00:25:39,760 Speaker 1: can really improve productivity, can improve the skills available. It's 433 00:25:39,760 --> 00:25:42,240 Speaker 1: a little bit like technologies are. To see the world 434 00:25:42,560 --> 00:25:45,199 Speaker 1: changing from today to tomorrow, but over a decade the 435 00:25:45,240 --> 00:25:48,159 Speaker 1: world changes a lot because of that, and I think immigration, 436 00:25:48,440 --> 00:25:51,240 Speaker 1: certainly to the UK and to the US, has been 437 00:25:51,280 --> 00:25:57,080 Speaker 1: this force bringing skills, changes innovation, but also more worker 438 00:25:57,440 --> 00:25:59,920 Speaker 1: and absorbed in the right way, it can be death 439 00:26:00,320 --> 00:26:03,720 Speaker 1: a force for growth and the long run effect, I 440 00:26:03,760 --> 00:26:08,040 Speaker 1: would say are certainly more positive than negative. As a 441 00:26:08,200 --> 00:26:11,680 Speaker 1: Japanese citizen living and working in San Francisco right now, 442 00:26:11,680 --> 00:26:13,840 Speaker 1: I like to think that I bring quite a lot 443 00:26:13,880 --> 00:26:20,320 Speaker 1: of innovation to the American I would agree that is hockey. 444 00:26:20,400 --> 00:26:23,000 Speaker 1: Not only you bring a lot of innovation, but your 445 00:26:23,000 --> 00:26:26,280 Speaker 1: own country is losing and missing a lot of innovation 446 00:26:26,320 --> 00:26:29,200 Speaker 1: by not admitting more immigrants. That Japan has been one 447 00:26:29,240 --> 00:26:32,800 Speaker 1: of the toughest countries in terms of admitting immigrants, just 448 00:26:32,840 --> 00:26:35,160 Speaker 1: to make a digression, and it's economy in the last 449 00:26:35,280 --> 00:26:38,600 Speaker 1: twenty years being quite slow and quite stagnating, So that 450 00:26:38,640 --> 00:26:42,680 Speaker 1: could be almost a counter example of the what immigration 451 00:26:42,760 --> 00:26:45,879 Speaker 1: and new ideas and creativity brings. And you make a 452 00:26:45,880 --> 00:26:49,600 Speaker 1: fantastic point that you know, immigration is an issue that 453 00:26:49,680 --> 00:26:53,760 Speaker 1: countries have been dealing with for decades and decades own centuries. Now, 454 00:26:54,200 --> 00:26:56,840 Speaker 1: this isn't the first time the US has gone through. 455 00:26:57,560 --> 00:27:00,159 Speaker 1: I don't want to call it a crisis, but there 456 00:27:00,240 --> 00:27:03,520 Speaker 1: definitely fears and concerns out there about immigration and how 457 00:27:03,520 --> 00:27:06,119 Speaker 1: many people we let in. So it seems like history 458 00:27:06,119 --> 00:27:09,960 Speaker 1: is just sort of repeating itself here. Yes, absolutely, the 459 00:27:10,040 --> 00:27:13,000 Speaker 1: interesting thing at the interesting difference I would say with 460 00:27:13,040 --> 00:27:16,040 Speaker 1: the previous historical period of large immigration, which was the 461 00:27:16,080 --> 00:27:19,000 Speaker 1: early was that in that period I would say that 462 00:27:19,040 --> 00:27:23,160 Speaker 1: immigration to the YES was almost genuinely free. Everybody who 463 00:27:23,240 --> 00:27:26,840 Speaker 1: showed up in Ellis Island or in San Francisco was 464 00:27:26,880 --> 00:27:30,320 Speaker 1: admitted unless they had some sort of diseases. And then 465 00:27:30,359 --> 00:27:35,200 Speaker 1: progressively there were tougher and tougher immigration restriction. Now immigration 466 00:27:35,320 --> 00:27:38,639 Speaker 1: is very regulated already. I guess people sometimes hearing this 467 00:27:38,800 --> 00:27:42,119 Speaker 1: thing that immigration is relatively free to the US, immigration 468 00:27:42,359 --> 00:27:47,200 Speaker 1: is the most regulated and restricted flow in on Earth. 469 00:27:47,400 --> 00:27:52,359 Speaker 1: So goods and investment and ideas flow much much more freely. 470 00:27:52,640 --> 00:27:55,800 Speaker 1: People in terms of mobility of labor is much more, 471 00:27:56,119 --> 00:27:59,320 Speaker 1: much much more constraint. On average in the US, UM 472 00:27:59,520 --> 00:28:03,560 Speaker 1: maybe seven hundred thousand people come in every year as immigrants. 473 00:28:03,640 --> 00:28:07,280 Speaker 1: This is zero point five percent of the labor force 474 00:28:07,440 --> 00:28:11,360 Speaker 1: of the United States. These are small and slow numbers, 475 00:28:11,359 --> 00:28:14,960 Speaker 1: but still I agree with you. The worries of the 476 00:28:15,040 --> 00:28:20,200 Speaker 1: border the immigrants, which are different in maybe ethnicity, in culture, 477 00:28:20,600 --> 00:28:23,560 Speaker 1: brings this incredible level of anxiety, both in Europe and 478 00:28:23,600 --> 00:28:27,119 Speaker 1: in the US, and good policymakers and good politicians have 479 00:28:27,240 --> 00:28:30,760 Speaker 1: to address it, explain it, and turn it for the best. 480 00:28:31,040 --> 00:28:32,880 Speaker 1: I think yeah, And I think it's I think it's 481 00:28:32,920 --> 00:28:36,920 Speaker 1: mostly undocumented immigrants that that wrinkle people the most though, 482 00:28:37,480 --> 00:28:40,320 Speaker 1: And that's sort of understandable if if people aren't going 483 00:28:40,760 --> 00:28:43,880 Speaker 1: through the process, maybe America is a country full of 484 00:28:43,960 --> 00:28:47,440 Speaker 1: rule followers. I don't know, I don't believe. So there's 485 00:28:47,480 --> 00:28:50,200 Speaker 1: this idea about people getting around the rules though, that 486 00:28:50,200 --> 00:28:53,080 Speaker 1: that really sorts of gets under people's scan. I agree. 487 00:28:53,240 --> 00:28:57,600 Speaker 1: I agree. It's interesting though about undocumented immigrants, And let 488 00:28:57,600 --> 00:28:59,880 Speaker 1: me say why. I think there is a little bit 489 00:29:00,200 --> 00:29:03,640 Speaker 1: just in the perception there too. In the last so 490 00:29:03,680 --> 00:29:07,440 Speaker 1: as you have said, the net inflow of undocumented is zero. 491 00:29:07,520 --> 00:29:09,640 Speaker 1: In fact has been negative in the last ten years. 492 00:29:09,640 --> 00:29:12,960 Speaker 1: So the inflow of undocumented it was really an issue 493 00:29:13,000 --> 00:29:15,920 Speaker 1: of the nineties and the early two thousand's. Now we 494 00:29:16,040 --> 00:29:18,600 Speaker 1: have the undocumented in and now the issue is how 495 00:29:18,680 --> 00:29:21,720 Speaker 1: to find a path for these people. But back then, 496 00:29:22,360 --> 00:29:26,080 Speaker 1: the American economy was growing, especially in the nineties, and 497 00:29:26,120 --> 00:29:29,560 Speaker 1: one was creating a lot of these jobs which were manual, 498 00:29:30,000 --> 00:29:33,640 Speaker 1: low skilled, and American companies were very willing to hire 499 00:29:33,720 --> 00:29:36,840 Speaker 1: people who were foreign born because there were very few 500 00:29:36,880 --> 00:29:42,360 Speaker 1: Americans available. However, there was no way whatsoever to accept 501 00:29:42,560 --> 00:29:45,719 Speaker 1: legally person to do the job unless a personal relative. 502 00:29:45,760 --> 00:29:48,280 Speaker 1: In the United States, everybody else who was a Mexican 503 00:29:48,400 --> 00:29:52,200 Speaker 1: worker of an unskilled type, not a professional, could not 504 00:29:52,280 --> 00:29:54,240 Speaker 1: find the visa to come. And this was a big 505 00:29:54,240 --> 00:29:56,560 Speaker 1: difference relatively to the high skill for which the H 506 00:29:56,600 --> 00:30:00,680 Speaker 1: one B visa program since nineties as allowed people like 507 00:30:01,480 --> 00:30:03,960 Speaker 1: a key like me to come into the country if 508 00:30:04,000 --> 00:30:06,479 Speaker 1: we had a job offered. So yes, it's true that 509 00:30:06,520 --> 00:30:10,720 Speaker 1: people are against the bypassing the line and not following 510 00:30:10,760 --> 00:30:13,920 Speaker 1: the rule, but literally there was this incredible creation of 511 00:30:14,040 --> 00:30:16,719 Speaker 1: jobs and firm willing to hire, and there was no 512 00:30:16,840 --> 00:30:19,080 Speaker 1: legal way to come in and the US for a 513 00:30:19,080 --> 00:30:21,640 Speaker 1: while as closed than eye. And now all in a 514 00:30:21,680 --> 00:30:24,120 Speaker 1: sudden that this is not a need anymore because that 515 00:30:24,840 --> 00:30:28,040 Speaker 1: influence level people think, oh wow, now these people have 516 00:30:28,160 --> 00:30:31,080 Speaker 1: broken the rules. Well, these people have, just as the 517 00:30:31,120 --> 00:30:34,000 Speaker 1: company who hired them has broken the rules. And so 518 00:30:34,040 --> 00:30:36,800 Speaker 1: we need to find a way out of this because 519 00:30:36,840 --> 00:30:40,560 Speaker 1: I think as of now, the fact is that eleven 520 00:30:40,560 --> 00:30:42,960 Speaker 1: million people have been in the US, many of them 521 00:30:42,960 --> 00:30:46,840 Speaker 1: for five and fifteen years, and the disruption of sending 522 00:30:46,840 --> 00:30:49,440 Speaker 1: them back back on the American economy will be so 523 00:30:49,480 --> 00:30:53,480 Speaker 1: massive that I would say, no reasonable person can see 524 00:30:53,520 --> 00:30:56,400 Speaker 1: such a huge even just economic cost, to forget about 525 00:30:56,400 --> 00:31:00,880 Speaker 1: the human and moral cost, just such huge economic acosta. 526 00:31:00,960 --> 00:31:03,239 Speaker 1: So it's through the American followed the rule. But there 527 00:31:03,320 --> 00:31:06,280 Speaker 1: is a little bit of hypocrisy in this attitude. Now, well, 528 00:31:06,360 --> 00:31:09,080 Speaker 1: gm Anny, this is This has been a fascinating conversation 529 00:31:09,280 --> 00:31:11,320 Speaker 1: and I think a great one for Aki and I 530 00:31:11,440 --> 00:31:13,719 Speaker 1: to in her time on Benchmark with So thank you 531 00:31:13,840 --> 00:31:16,360 Speaker 1: so much for joining us. Thank you, thank you for 532 00:31:16,400 --> 00:31:19,040 Speaker 1: having me. It's been a real pleasure, and thanks to 533 00:31:19,040 --> 00:31:21,520 Speaker 1: all of you for joining Tori and I one last 534 00:31:21,560 --> 00:31:23,920 Speaker 1: time on Bloomberg Benchmark. The show is going to be 535 00:31:23,960 --> 00:31:27,160 Speaker 1: back again next week, this time with Dan at the Helm, 536 00:31:27,240 --> 00:31:29,960 Speaker 1: So make sure you tune in and maybe even right 537 00:31:30,000 --> 00:31:32,160 Speaker 1: to Dan to tell him how much you miss us. 538 00:31:33,800 --> 00:31:36,000 Speaker 1: And as always, you can find us on the Bloomberg 539 00:31:36,080 --> 00:31:39,680 Speaker 1: Terminal and Bloomberg dot com, as well as on iTunes, pocketcast, 540 00:31:39,760 --> 00:31:42,200 Speaker 1: and Stitcher. While you're there, take a minute to rate 541 00:31:42,240 --> 00:31:44,760 Speaker 1: and review the show. Some more listeners can find us 542 00:31:45,000 --> 00:31:46,640 Speaker 1: and let us know what you thought of the show. 543 00:31:46,800 --> 00:31:48,560 Speaker 1: You can talk to us and follow us on Twitter 544 00:31:48,680 --> 00:31:51,680 Speaker 1: at Aki Ita seven and that Tory still well. 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