1 00:00:00,160 --> 00:00:02,000 Speaker 1: I kind of feel like we talked about a lot 2 00:00:02,040 --> 00:00:05,680 Speaker 1: of you know, depressing and alarming things on this show. 3 00:00:05,800 --> 00:00:08,240 Speaker 1: We're not We're not happy of bunch, are we? They 4 00:00:08,240 --> 00:00:10,920 Speaker 1: called the dismal science for a reason, though I can 5 00:00:11,600 --> 00:00:22,880 Speaker 1: they do? They do? Hi, and welcome back to Bloomberg Benchmark, 6 00:00:22,920 --> 00:00:25,560 Speaker 1: a show about the inner workings of the global economy. 7 00:00:25,920 --> 00:00:29,560 Speaker 1: I'm Tori Stillwell and economics reporter for Bloomberg News, and 8 00:00:29,600 --> 00:00:33,279 Speaker 1: I'm recording today out of our DC newsroom, and I'm 9 00:00:33,360 --> 00:00:36,839 Speaker 1: joined by my co host, Akio, our Benchmark editor in 10 00:00:36,920 --> 00:00:40,680 Speaker 1: San Francisco. Hey Hockey, Hey Tory. How's it going Pretty good? 11 00:00:40,720 --> 00:00:44,320 Speaker 1: Pretty good? Although I don't know today's topic is on 12 00:00:44,360 --> 00:00:47,600 Speaker 1: the morbid side, I would say I kind of feel 13 00:00:47,640 --> 00:00:50,840 Speaker 1: like we talked about a lot of depressing and alarming 14 00:00:50,880 --> 00:00:53,440 Speaker 1: things on this show. We're not happy of bunch, are we? 15 00:00:53,760 --> 00:00:56,400 Speaker 1: They called the dismal science for a reason, though I 16 00:00:56,440 --> 00:01:00,720 Speaker 1: can they do? They do? Well? You know, I promise 17 00:01:00,920 --> 00:01:03,400 Speaker 1: to all our listeners, I promised at the show. However 18 00:01:03,520 --> 00:01:05,959 Speaker 1: depressing and alarming it's going to be, It's also going 19 00:01:06,000 --> 00:01:10,240 Speaker 1: to be totally interesting and reveting too. Let's dig in. So, 20 00:01:10,800 --> 00:01:14,240 Speaker 1: the National Center of Health Statistics came out with a 21 00:01:14,319 --> 00:01:18,120 Speaker 1: report recently that looked at US suicide rates for different 22 00:01:18,200 --> 00:01:23,000 Speaker 1: races and ages from nineteen nine to fourteen, so the 23 00:01:23,080 --> 00:01:26,959 Speaker 1: last fifteen years or so, and all around it was 24 00:01:27,080 --> 00:01:30,759 Speaker 1: a pretty bleak picture, right. So the report showed that 25 00:01:30,880 --> 00:01:36,000 Speaker 1: suicide rates age adjusted in America was gosh, twenty four 26 00:01:36,120 --> 00:01:41,640 Speaker 1: percent higher in fourteen than it was in nine. Suicides 27 00:01:41,640 --> 00:01:44,880 Speaker 1: went up for men and for women in every single 28 00:01:44,959 --> 00:01:49,400 Speaker 1: age group under seventy five, and during that time frame, 29 00:01:49,880 --> 00:01:53,840 Speaker 1: the suicide rate for white females ages forty five to 30 00:01:53,920 --> 00:01:57,000 Speaker 1: sixty four rose eight percent and was three to four 31 00:01:57,040 --> 00:02:00,480 Speaker 1: times higher than for females in other racial and ethnic groups. 32 00:02:00,520 --> 00:02:05,120 Speaker 1: In fact, meanwhile, here black males, actually we're the only 33 00:02:05,480 --> 00:02:09,160 Speaker 1: racial and ethnic group of either sex to have a 34 00:02:09,200 --> 00:02:14,839 Speaker 1: lower suicide rate in compared to nine. So what does 35 00:02:14,919 --> 00:02:17,760 Speaker 1: this all have to do with economics? For that, we're 36 00:02:17,840 --> 00:02:20,560 Speaker 1: going to need an economist with us. Is in case, 37 00:02:20,639 --> 00:02:24,840 Speaker 1: a professor of economics and public affairs at Princeton. She's 38 00:02:24,880 --> 00:02:28,280 Speaker 1: done some amazing work on the rise of both mortality 39 00:02:28,320 --> 00:02:31,639 Speaker 1: and morbidity among white Americans in the twenty one century. 40 00:02:31,680 --> 00:02:34,560 Speaker 1: And you actually might remember her co author on this 41 00:02:34,639 --> 00:02:37,720 Speaker 1: work from one of our very first episodes. His name's 42 00:02:37,720 --> 00:02:41,200 Speaker 1: Angus Deaton. He is not only the winner of the 43 00:02:42,040 --> 00:02:46,440 Speaker 1: Nobel Prize for Economics, but is also Anne's husband. And 44 00:02:46,480 --> 00:02:48,960 Speaker 1: thank you so much for joining us today. That's my 45 00:02:49,040 --> 00:02:52,200 Speaker 1: pleasure to be with you. So and we talked about 46 00:02:52,440 --> 00:02:54,800 Speaker 1: suicides a little bit earlier in this show, but your 47 00:02:54,919 --> 00:02:58,440 Speaker 1: work dealt with more than just that, just looking at 48 00:02:59,000 --> 00:03:03,200 Speaker 1: morbidity and more stality broadly in midlife for white Americans. 49 00:03:03,280 --> 00:03:07,040 Speaker 1: Could you just boiled your research down to a sentence 50 00:03:07,120 --> 00:03:09,480 Speaker 1: or two? What was the gist of what you and 51 00:03:09,800 --> 00:03:14,080 Speaker 1: ang Is found when we looked both at morbidity and mortality. 52 00:03:14,320 --> 00:03:19,119 Speaker 1: The mortality increases that we saw among people in midlife 53 00:03:19,120 --> 00:03:22,560 Speaker 1: white non Hispanics and midlife we're being driven by what 54 00:03:22,600 --> 00:03:27,840 Speaker 1: we call deaths of despair, so drug overdose suicide, alcohol 55 00:03:27,919 --> 00:03:32,880 Speaker 1: related liver deaths. And underneath that layer of mortality, we 56 00:03:33,000 --> 00:03:36,400 Speaker 1: found a lot of what we call morbidity, so poor 57 00:03:36,480 --> 00:03:41,000 Speaker 1: health among whites and middle age, poor mental health, a 58 00:03:41,040 --> 00:03:44,440 Speaker 1: lot of pain, a lot of difficulty with activities of 59 00:03:44,520 --> 00:03:49,400 Speaker 1: daily living, reports that they're unable to work. And so 60 00:03:49,520 --> 00:03:53,160 Speaker 1: when you put that together, it paints a picture of 61 00:03:53,240 --> 00:03:58,800 Speaker 1: some despair among especially working class whites in America. And 62 00:03:58,840 --> 00:04:02,160 Speaker 1: I think what was really striking about your research was 63 00:04:02,720 --> 00:04:05,920 Speaker 1: that that wasn't always the case that these mortality rates, 64 00:04:05,920 --> 00:04:09,480 Speaker 1: they were going down for white Americans until the late nineties, 65 00:04:10,000 --> 00:04:13,160 Speaker 1: and then after that they started taking back up. That 66 00:04:13,440 --> 00:04:16,800 Speaker 1: isn't what we saw in other advanced countries in Europe, right, 67 00:04:17,480 --> 00:04:20,520 Speaker 1: That's exactly right that in the US, after almost a 68 00:04:20,640 --> 00:04:26,200 Speaker 1: century of uninterrupted progress when it came to lower mortality 69 00:04:26,320 --> 00:04:29,359 Speaker 1: rates both among people in middle age and in older ages, 70 00:04:30,080 --> 00:04:33,120 Speaker 1: suddenly in the late nineteen nineties we saw that kind 71 00:04:33,120 --> 00:04:36,800 Speaker 1: of progress stopped dead and for people in some age 72 00:04:36,839 --> 00:04:39,800 Speaker 1: groups actually begin to reverse and go in the wrong 73 00:04:39,839 --> 00:04:46,000 Speaker 1: direction altogether. Whereas in name your favorite European country, mortality 74 00:04:46,080 --> 00:04:48,599 Speaker 1: rates in middle age continue to fall at about two 75 00:04:48,600 --> 00:04:50,640 Speaker 1: percent a year, which is what was happening in the 76 00:04:50,760 --> 00:04:54,960 Speaker 1: US until the late nineteen nineties. So that is really 77 00:04:55,000 --> 00:04:57,920 Speaker 1: one of the underlying questions. Why did the US leave 78 00:04:58,000 --> 00:05:01,279 Speaker 1: the herd? So what made us differ? And have you 79 00:05:01,279 --> 00:05:04,200 Speaker 1: found the answer to that question. We are hard at work. 80 00:05:04,240 --> 00:05:07,320 Speaker 1: We're back in the weeds right now looking for answers. 81 00:05:07,720 --> 00:05:10,200 Speaker 1: Of course, everyone we talked to on every politician you 82 00:05:10,400 --> 00:05:15,920 Speaker 1: hear no see answer but what do they say it? Uh. 83 00:05:16,000 --> 00:05:18,520 Speaker 1: It depends on who's doing the talking. So it can 84 00:05:18,600 --> 00:05:23,160 Speaker 1: be anything from the fact that jobs that were good 85 00:05:23,279 --> 00:05:26,760 Speaker 1: jobs in the US left the country they were sent to, say, 86 00:05:26,880 --> 00:05:32,120 Speaker 1: to Cambodia or to Vietnam. It could be some politicians 87 00:05:32,200 --> 00:05:36,880 Speaker 1: think that it's Obamacare backfiring on itself, although this crisis 88 00:05:36,880 --> 00:05:41,280 Speaker 1: began way before the Obama administration. Uh. Some people think 89 00:05:41,320 --> 00:05:44,760 Speaker 1: it's just that America is not great anymore, and that 90 00:05:45,160 --> 00:05:49,640 Speaker 1: once America is great again, people will uh stop killing 91 00:05:49,680 --> 00:05:53,719 Speaker 1: themselves in such large numbers, slowly with drugs and alcohol 92 00:05:53,880 --> 00:05:57,320 Speaker 1: or quickly with a gun. So and can you walk 93 00:05:57,400 --> 00:06:00,560 Speaker 1: us through I guess the health side of this then? 94 00:06:00,800 --> 00:06:05,039 Speaker 1: What is leading people to, uh, I guess, use more 95 00:06:05,160 --> 00:06:08,839 Speaker 1: drugs or to kill themselves as a mental illnesses? What 96 00:06:08,960 --> 00:06:11,920 Speaker 1: sort of health factors I guess are behind this increase 97 00:06:12,000 --> 00:06:16,000 Speaker 1: in mortality and morbidity with middle aged whites, well Tory. 98 00:06:16,040 --> 00:06:19,960 Speaker 1: At this point it's really speculation. But on the morbidity side, 99 00:06:19,960 --> 00:06:23,479 Speaker 1: when things that we can actually measure, it certainly is 100 00:06:23,520 --> 00:06:27,400 Speaker 1: the case that people's mental health has suffered in the 101 00:06:27,480 --> 00:06:31,760 Speaker 1: last fifteen years. So every year the National Health Interview 102 00:06:31,800 --> 00:06:36,040 Speaker 1: Survey asks a very large nationally representative group of people 103 00:06:36,680 --> 00:06:41,480 Speaker 1: about their mental health and UM they could. They score 104 00:06:41,560 --> 00:06:48,320 Speaker 1: the answers, and year on year from through fourteen, the 105 00:06:48,480 --> 00:06:51,760 Speaker 1: scores have gotten worse on average for people in whites 106 00:06:51,839 --> 00:06:56,719 Speaker 1: and middle age. People's reports of say sciatica, of chronic 107 00:06:56,920 --> 00:07:00,320 Speaker 1: joint pain, of neck pain, of face pain, all of 108 00:07:00,360 --> 00:07:04,560 Speaker 1: those markers of pain have increased as well, and when 109 00:07:04,600 --> 00:07:08,440 Speaker 1: asked about activities of daily living, a significantly higher number 110 00:07:08,560 --> 00:07:12,360 Speaker 1: report that they have difficulties socializing with friends. Now we 111 00:07:12,400 --> 00:07:16,360 Speaker 1: know pain and social isolation are both triggers for suicide, 112 00:07:16,440 --> 00:07:22,560 Speaker 1: for example, and those things have risen um in tandem 113 00:07:22,640 --> 00:07:26,160 Speaker 1: over the last fifteen years. Now, what's under that? That's 114 00:07:26,200 --> 00:07:29,440 Speaker 1: what we're at work trying to unearth. Is it the 115 00:07:29,440 --> 00:07:32,560 Speaker 1: case that we are just much more socially isolated and 116 00:07:32,600 --> 00:07:35,480 Speaker 1: that puts people at risk? I mean, that might be 117 00:07:35,560 --> 00:07:39,320 Speaker 1: something that's different between the US and say, our sister 118 00:07:39,600 --> 00:07:43,160 Speaker 1: countries in Europe, And we don't know the role yet 119 00:07:43,400 --> 00:07:48,200 Speaker 1: that is played by stronger social safety nets which the Europeans, 120 00:07:48,280 --> 00:07:53,040 Speaker 1: the Canadians, the Australians have relative to the US. We 121 00:07:53,120 --> 00:07:57,720 Speaker 1: don't know the role yet of having access universally to healthcare. 122 00:07:58,760 --> 00:08:02,320 Speaker 1: Those are roles that those play still don't really need 123 00:08:02,400 --> 00:08:05,920 Speaker 1: to be investigated. And and and then a different avenue is 124 00:08:05,960 --> 00:08:11,720 Speaker 1: to look at what's happened to the American employment patterns, 125 00:08:11,880 --> 00:08:14,680 Speaker 1: since this is a crisis that's really hit people with 126 00:08:14,800 --> 00:08:18,040 Speaker 1: a high school degree or less, and those are people 127 00:08:18,080 --> 00:08:20,480 Speaker 1: in the US who used to be able to get 128 00:08:20,640 --> 00:08:23,920 Speaker 1: with a high school degree, a good job, a job 129 00:08:24,040 --> 00:08:27,160 Speaker 1: with on the job training, which may be very important, 130 00:08:27,600 --> 00:08:29,960 Speaker 1: a job where they could move up with that training, 131 00:08:30,720 --> 00:08:34,000 Speaker 1: and that those jobs are gone, those jobs aren't coming back. 132 00:08:34,040 --> 00:08:36,880 Speaker 1: Those jobs would have had benefits, those jobs would have 133 00:08:36,920 --> 00:08:40,800 Speaker 1: had healthcare. And it may not just only be the 134 00:08:40,840 --> 00:08:44,200 Speaker 1: loss of those jobs that have left the country, but 135 00:08:44,480 --> 00:08:49,280 Speaker 1: when say a manufacturing center closes down, the local tax 136 00:08:49,360 --> 00:08:54,800 Speaker 1: base implodes the local schools who can't support themselves as well. 137 00:08:55,280 --> 00:08:58,160 Speaker 1: So it may be that working class people look at 138 00:08:58,200 --> 00:09:00,560 Speaker 1: their children and think that their children and are not 139 00:09:00,640 --> 00:09:05,720 Speaker 1: going to have the same kind of um promising avenues 140 00:09:05,760 --> 00:09:09,280 Speaker 1: that they themselves thought they might have. So there may 141 00:09:09,320 --> 00:09:12,960 Speaker 1: be an intergenerational part of this as well, of people 142 00:09:13,040 --> 00:09:17,199 Speaker 1: not knowing whether or not the future looks any brighter 143 00:09:17,240 --> 00:09:20,320 Speaker 1: for their own children. And that's that's I mean, that's 144 00:09:20,360 --> 00:09:23,640 Speaker 1: so fascinating one on your first point, that we could 145 00:09:23,640 --> 00:09:27,679 Speaker 1: talk about social isolation in an age where things like 146 00:09:27,840 --> 00:09:31,080 Speaker 1: Facebook and Twitter and Instagram and all these new things 147 00:09:31,080 --> 00:09:33,680 Speaker 1: are supposed to be bringing us closer to people and 148 00:09:33,720 --> 00:09:36,560 Speaker 1: helping connect us to people all over the world. And 149 00:09:36,640 --> 00:09:40,680 Speaker 1: so I just think it's fascinating that isolation is still 150 00:09:40,720 --> 00:09:44,079 Speaker 1: an issue. Perhaps I think it really is an issue, 151 00:09:44,160 --> 00:09:48,200 Speaker 1: even in the age of Facebook. We know that divorce 152 00:09:48,360 --> 00:09:51,200 Speaker 1: rates may have something to do with this. If if 153 00:09:51,360 --> 00:09:56,760 Speaker 1: people are divorcing at higher rates than they may spend 154 00:09:56,840 --> 00:10:00,839 Speaker 1: more time alone, that's still to be invest deicated. It's 155 00:10:00,880 --> 00:10:03,840 Speaker 1: also possible that people may look at each other's Facebook 156 00:10:03,880 --> 00:10:08,079 Speaker 1: pages where they see here I am on my fabulous 157 00:10:08,160 --> 00:10:12,840 Speaker 1: vacation and my life is fabulous, whereas underneath that there 158 00:10:12,880 --> 00:10:16,440 Speaker 1: may be all a much bigger story, not all of 159 00:10:16,480 --> 00:10:20,199 Speaker 1: it looks as bright and sunny as is portrayed on Facebook. 160 00:10:20,960 --> 00:10:25,679 Speaker 1: And so whether these people feel socially isolated, or whether 161 00:10:25,720 --> 00:10:27,920 Speaker 1: they feel like they lost a sense of purpose in 162 00:10:27,960 --> 00:10:32,000 Speaker 1: their lives um or are financially struggling because they lost 163 00:10:32,040 --> 00:10:35,320 Speaker 1: their job, you know, the idea is that maybe they're 164 00:10:35,360 --> 00:10:40,120 Speaker 1: turning to alcohol or drugs in their despair, and they 165 00:10:40,200 --> 00:10:43,480 Speaker 1: end up dying a premature death right, Well, that is 166 00:10:43,640 --> 00:10:46,240 Speaker 1: that is certainly one of the stories that one can tell. 167 00:10:46,600 --> 00:10:50,720 Speaker 1: Now whether or not that those are really the underlying drivers. 168 00:10:50,880 --> 00:10:53,760 Speaker 1: We we have a lot of work to do, looking 169 00:10:54,559 --> 00:10:58,120 Speaker 1: small geographic area by small geographic area in the US 170 00:10:58,200 --> 00:11:00,840 Speaker 1: to try to see whether or not the data are 171 00:11:00,840 --> 00:11:03,800 Speaker 1: consistent with that story. And we should know more a 172 00:11:03,840 --> 00:11:07,439 Speaker 1: lot more about that once we actually do the work. 173 00:11:08,160 --> 00:11:10,440 Speaker 1: And so now we're actually in the process of doing 174 00:11:10,520 --> 00:11:13,559 Speaker 1: the work, and that's going to take some time. Well, 175 00:11:13,600 --> 00:11:16,720 Speaker 1: we're going to take a quick break and when we 176 00:11:16,800 --> 00:11:19,319 Speaker 1: come back, we will have much more to talk about, 177 00:11:19,360 --> 00:11:23,280 Speaker 1: including why and this is a question I'm particularly interested in, 178 00:11:23,679 --> 00:11:26,839 Speaker 1: why aren't we seeing similar trends in non white communities. 179 00:11:26,880 --> 00:11:28,360 Speaker 1: So we're going to talk a little bit about that 180 00:11:28,480 --> 00:11:32,880 Speaker 1: and hopefully more about some of these economic reasons behind 181 00:11:33,240 --> 00:11:46,760 Speaker 1: the increases that we're seeing after this break, so maybe 182 00:11:46,920 --> 00:11:49,680 Speaker 1: zooming out a little bit before we kind of go 183 00:11:49,840 --> 00:11:53,040 Speaker 1: into the why and the consequences a little bit more. 184 00:11:53,520 --> 00:11:56,360 Speaker 1: This is an amazing statistic for our listener. So if 185 00:11:56,520 --> 00:12:01,200 Speaker 1: mortality rates for white Americans contin hinue to decline that 186 00:12:01,320 --> 00:12:04,800 Speaker 1: way that they were up to the late nineties, half 187 00:12:04,840 --> 00:12:08,800 Speaker 1: a million deaths could have been avoided between nine and 188 00:12:08,880 --> 00:12:12,959 Speaker 1: two thousand and thirteen, almost five hundred thousands, So that's 189 00:12:13,000 --> 00:12:16,839 Speaker 1: basically equivalent to the number of Americans who have died 190 00:12:16,920 --> 00:12:21,280 Speaker 1: from AIDS. Whatever is causing this, and isn't it fair 191 00:12:21,320 --> 00:12:24,120 Speaker 1: to call this an epidemic depends on how you want 192 00:12:24,120 --> 00:12:27,040 Speaker 1: to use the word epidemic. It certainly is something that's 193 00:12:27,040 --> 00:12:32,840 Speaker 1: widespread in every state in middle age. On average, people 194 00:12:32,840 --> 00:12:35,520 Speaker 1: in whites and middle age are reporting themselves in worse 195 00:12:35,600 --> 00:12:40,440 Speaker 1: health than they did fifteen years ago. In all census regions, 196 00:12:40,480 --> 00:12:44,400 Speaker 1: the suicide rates are up, and all all census regions, 197 00:12:44,400 --> 00:12:48,400 Speaker 1: the the reports of social isolation are up. So it 198 00:12:48,480 --> 00:12:53,000 Speaker 1: is certainly happening throughout the country. So if you want 199 00:12:53,000 --> 00:12:57,320 Speaker 1: to call it an epidemic using that as your definition, 200 00:12:57,559 --> 00:13:01,360 Speaker 1: then it is kind of a very quiet epidemic. And 201 00:13:01,400 --> 00:13:05,120 Speaker 1: actually the five hundred thousand number, we want to back 202 00:13:05,160 --> 00:13:08,080 Speaker 1: off of that a little bit because some of those 203 00:13:08,240 --> 00:13:11,520 Speaker 1: um some of those deaths are probably due to the 204 00:13:11,559 --> 00:13:15,400 Speaker 1: fact that it took women longer to stop smoking than 205 00:13:15,440 --> 00:13:18,360 Speaker 1: it took men. Women took it up later and they 206 00:13:18,400 --> 00:13:22,400 Speaker 1: stopped later. So in the US, some of those deaths 207 00:13:22,480 --> 00:13:27,360 Speaker 1: are actually probably due to cancer and heart disease related 208 00:13:27,400 --> 00:13:31,080 Speaker 1: to cigarette smoking. That's still working its way out. But 209 00:13:31,160 --> 00:13:34,360 Speaker 1: if you just some the numbers of people who died 210 00:13:34,440 --> 00:13:38,000 Speaker 1: in this century in the New century from suicide, from 211 00:13:38,040 --> 00:13:43,560 Speaker 1: drug overdose, from alcohol related liver mortality, if the rates 212 00:13:43,600 --> 00:13:46,040 Speaker 1: of those deaths had stayed at what they had been, 213 00:13:46,200 --> 00:13:50,720 Speaker 1: say in then in the period between two thousand and 214 00:13:50,760 --> 00:13:55,440 Speaker 1: two thousand and fourteen, about three hundred thousand people aged 215 00:13:55,760 --> 00:13:59,720 Speaker 1: thirty five to fifty nine would not have died of 216 00:13:59,800 --> 00:14:02,720 Speaker 1: the deaths of despair. So it's the same order of 217 00:14:02,800 --> 00:14:05,640 Speaker 1: magnitude as the number of people who died and have 218 00:14:05,840 --> 00:14:08,560 Speaker 1: died to date in the AIDS crisis in the US. 219 00:14:08,600 --> 00:14:12,559 Speaker 1: A little a little bit lower, but same order of magnitude. 220 00:14:12,720 --> 00:14:16,080 Speaker 1: Although the AIDS crisis got a lot of attention, whereas 221 00:14:16,080 --> 00:14:18,439 Speaker 1: this really has been a very quiet, if you want 222 00:14:18,440 --> 00:14:22,160 Speaker 1: to call it epidemic, a very quiet epidemic. And so 223 00:14:22,200 --> 00:14:28,240 Speaker 1: far our discussion has been about white, middle aged Americans. 224 00:14:28,600 --> 00:14:33,520 Speaker 1: Why aren't we seeing um I guess problems or increases 225 00:14:33,520 --> 00:14:39,560 Speaker 1: in mortality and morbidity at the same magnitude for other races. 226 00:14:40,520 --> 00:14:45,880 Speaker 1: That is a terrific question. Happily, the mortality rates for 227 00:14:46,520 --> 00:14:50,680 Speaker 1: African Americans in middle age is falling even quicker than 228 00:14:50,720 --> 00:14:55,800 Speaker 1: it is in among our European counterparts. And mortality rates 229 00:14:55,800 --> 00:14:59,240 Speaker 1: for Hispanics is falling at exactly the same rate as 230 00:14:59,240 --> 00:15:02,800 Speaker 1: our European counterparts. So it's about two point six percent 231 00:15:02,920 --> 00:15:05,640 Speaker 1: per yor for blacks and about two percent a year 232 00:15:05,680 --> 00:15:11,200 Speaker 1: for Hispanics. And why is it the case that this 233 00:15:11,880 --> 00:15:15,440 Speaker 1: big cloud has not landed on their heads? So we 234 00:15:15,640 --> 00:15:18,960 Speaker 1: we can again, we can speculate at this point, we 235 00:15:19,000 --> 00:15:24,080 Speaker 1: don't have any firm answers. Part of the drug overdoses 236 00:15:24,800 --> 00:15:30,960 Speaker 1: come from the availability of prescription opioids, which started in 237 00:15:31,000 --> 00:15:34,760 Speaker 1: the mid nine nineties and gain speed and gained speed 238 00:15:35,520 --> 00:15:40,360 Speaker 1: with the introduction of drugs like oxy cotton. And there's 239 00:15:40,400 --> 00:15:44,400 Speaker 1: a small literature that suggests that African Americans were discriminated 240 00:15:44,440 --> 00:15:47,800 Speaker 1: against if they presented with the same level of pain, 241 00:15:48,440 --> 00:15:52,000 Speaker 1: doctors were less likely to prescribe them heavy duty opioids 242 00:15:52,040 --> 00:15:54,200 Speaker 1: than they would be if a white presented with the 243 00:15:54,280 --> 00:15:58,720 Speaker 1: same level of pain. So so while that kind of discrimination, 244 00:15:58,800 --> 00:16:02,040 Speaker 1: there's no room for the kind of discrimination. But at 245 00:16:02,040 --> 00:16:05,720 Speaker 1: the same time, that may be one of the explanations 246 00:16:05,800 --> 00:16:10,360 Speaker 1: for why the opioid part of this did not land 247 00:16:10,360 --> 00:16:13,640 Speaker 1: on the heads of African Americans. It's also the case 248 00:16:13,720 --> 00:16:17,360 Speaker 1: that pharmacies in the inner cities UH, some of them 249 00:16:17,400 --> 00:16:21,200 Speaker 1: don't want to actually stock opioids because it makes them 250 00:16:21,240 --> 00:16:26,480 Speaker 1: a target for people to come and steal the opioids, 251 00:16:26,520 --> 00:16:30,600 Speaker 1: which in some communities have actually become a currency of 252 00:16:30,680 --> 00:16:35,560 Speaker 1: sorts that you can actually trade things for drugs as 253 00:16:35,600 --> 00:16:38,720 Speaker 1: if the drugs were money. We think of the opioids, 254 00:16:38,760 --> 00:16:42,520 Speaker 1: we think we hear being angesty and my co author 255 00:16:42,520 --> 00:16:46,120 Speaker 1: and I as being one of the proximate causes for 256 00:16:46,160 --> 00:16:50,320 Speaker 1: this epidemic. But it's just approximate cause, like what causes 257 00:16:50,360 --> 00:16:54,680 Speaker 1: people to reach for those drugs? They're available, but they're 258 00:16:54,680 --> 00:16:58,200 Speaker 1: available in Canada as well. Why is it that in 259 00:16:58,240 --> 00:17:02,720 Speaker 1: the US it's really become such a killer, and why 260 00:17:02,720 --> 00:17:06,399 Speaker 1: has it become such a killer for whites? We don't 261 00:17:06,480 --> 00:17:10,960 Speaker 1: really have an answer. So African Americans and Hispanics, are 262 00:17:11,000 --> 00:17:14,240 Speaker 1: they reporting the I guess the same amount of pain 263 00:17:14,320 --> 00:17:17,240 Speaker 1: or the similar increases in pain or is that different 264 00:17:17,280 --> 00:17:21,639 Speaker 1: as well? So there's been no decrease, no decline in 265 00:17:22,119 --> 00:17:27,080 Speaker 1: UH self reported health among African Americans. There has been 266 00:17:27,119 --> 00:17:31,119 Speaker 1: a small increase in reports of pain, UH not as 267 00:17:31,240 --> 00:17:35,600 Speaker 1: large as seen in the UM white non Hispanic community. 268 00:17:35,920 --> 00:17:39,639 Speaker 1: But no, but but certainly there has been an increase, 269 00:17:40,480 --> 00:17:47,280 Speaker 1: but they're the deaths of despair for African Americans, meaning drugs, suicide, 270 00:17:47,400 --> 00:17:51,520 Speaker 1: alcohol have been falling for people in their thirties. It's 271 00:17:51,560 --> 00:17:55,840 Speaker 1: been constant for people in their forties into their early fifties, 272 00:17:56,200 --> 00:18:00,480 Speaker 1: So that we don't see the same dramatic increase that 273 00:18:00,520 --> 00:18:03,760 Speaker 1: we've been seeing from age thirty to age fifty nine 274 00:18:04,119 --> 00:18:07,879 Speaker 1: in the white community. And and if I understand that, 275 00:18:08,000 --> 00:18:10,280 Speaker 1: if I understood the data are correctly in your in 276 00:18:10,280 --> 00:18:15,800 Speaker 1: your study, Hispanic and Black Americans actually are less likely 277 00:18:15,960 --> 00:18:18,800 Speaker 1: to die at middle age and white people are at 278 00:18:18,840 --> 00:18:22,720 Speaker 1: this point. Is that right? No? No, So the mortality 279 00:18:22,800 --> 00:18:26,919 Speaker 1: rates for African Americans is still higher than UM it 280 00:18:27,080 --> 00:18:33,040 Speaker 1: is for white non Hispanics. Hispanics actually have lower mortality 281 00:18:33,160 --> 00:18:39,760 Speaker 1: rates than UM than much wealthier white non Hispanics. UM. 282 00:18:39,800 --> 00:18:44,440 Speaker 1: That's another puzzle for demographers. Why it is that it's 283 00:18:44,440 --> 00:18:48,920 Speaker 1: called the Hispanic paradox. Why it is that Hispanics actually 284 00:18:48,960 --> 00:18:53,720 Speaker 1: do have much better reported health and have lower mortality 285 00:18:53,840 --> 00:18:57,639 Speaker 1: rates and higher life expectancy rates than whites. But among 286 00:18:57,680 --> 00:19:02,680 Speaker 1: African Americans, while there's been real progress. Uh, there is 287 00:19:02,720 --> 00:19:06,399 Speaker 1: still a gap between black and white mortality, with blacks 288 00:19:06,440 --> 00:19:09,520 Speaker 1: having higher mortality than whites. It's but it has been 289 00:19:09,560 --> 00:19:14,040 Speaker 1: falling and the gap has been closing. Unfortunately, part of 290 00:19:14,040 --> 00:19:16,440 Speaker 1: the gap closing has come from the fact that white 291 00:19:16,440 --> 00:19:20,040 Speaker 1: mortality rights have increased. I mean, you want everybody to 292 00:19:20,040 --> 00:19:22,560 Speaker 1: get to the frontier. You don't want it the gap 293 00:19:22,600 --> 00:19:26,560 Speaker 1: to close because you know, whites are are doing worse 294 00:19:26,640 --> 00:19:29,320 Speaker 1: than they had been doing. You want to see everybody 295 00:19:29,359 --> 00:19:33,240 Speaker 1: doing better. Right you know, Let's let's say, come November, 296 00:19:33,520 --> 00:19:37,919 Speaker 1: whoever becomes the president, she or he calls you up 297 00:19:37,960 --> 00:19:41,359 Speaker 1: and says, look, I've seen your paper. There's a clear 298 00:19:41,480 --> 00:19:45,679 Speaker 1: crisis among middle age white Americans right now. What should 299 00:19:45,800 --> 00:19:49,119 Speaker 1: I do? What would your policy advice be? That is such? 300 00:19:49,400 --> 00:19:52,600 Speaker 1: That is such a multilayered question, and until we really 301 00:19:53,400 --> 00:19:55,399 Speaker 1: find our way back out of the weeds and have 302 00:19:55,480 --> 00:19:57,639 Speaker 1: a better sense of how much of this is about 303 00:19:57,720 --> 00:20:00,520 Speaker 1: job loss, how much of this is about social connection, 304 00:20:01,359 --> 00:20:03,400 Speaker 1: It's it would be hard for me, and of course 305 00:20:03,440 --> 00:20:06,800 Speaker 1: I'm an academic, so it's hard for me to say 306 00:20:06,840 --> 00:20:09,359 Speaker 1: I have the answer and this is what it is, 307 00:20:09,400 --> 00:20:12,119 Speaker 1: and this is what your policy should look like, but 308 00:20:12,400 --> 00:20:18,160 Speaker 1: I think economists in general are true believers in education. 309 00:20:18,840 --> 00:20:21,320 Speaker 1: And one of the things that happened but between the 310 00:20:21,400 --> 00:20:25,879 Speaker 1: late nineteen seventies and today is that the premium and 311 00:20:25,920 --> 00:20:29,880 Speaker 1: the labor market forgetting a college degree went from about 312 00:20:31,680 --> 00:20:34,359 Speaker 1: higher pay for people with a college degree to something 313 00:20:34,400 --> 00:20:38,920 Speaker 1: like above what people with a high school degree could earn. 314 00:20:39,560 --> 00:20:42,040 Speaker 1: So part of these people in middle age now came 315 00:20:42,080 --> 00:20:46,119 Speaker 1: of age in the late nineteen seventies and we're making 316 00:20:46,119 --> 00:20:49,680 Speaker 1: decisions about the course of their lives before they had 317 00:20:49,720 --> 00:20:52,119 Speaker 1: any reason to understand that there was going to be 318 00:20:52,240 --> 00:20:56,320 Speaker 1: this wedge that was going to be driven between their 319 00:20:56,400 --> 00:20:59,080 Speaker 1: earnings and the earnings of people who went on to 320 00:20:59,119 --> 00:21:05,560 Speaker 1: get more education. So I I think also watching the 321 00:21:05,920 --> 00:21:11,800 Speaker 1: quality of public schools a road is very bad for UH, 322 00:21:11,880 --> 00:21:16,399 Speaker 1: the morale of people and throughout the country, and so 323 00:21:17,119 --> 00:21:22,000 Speaker 1: I think actually shoring up our schools would be a 324 00:21:22,119 --> 00:21:26,160 Speaker 1: long run approach to this problem. A short run answer 325 00:21:26,280 --> 00:21:29,480 Speaker 1: is going to be as much as there's pushback against it. 326 00:21:31,040 --> 00:21:34,640 Speaker 1: I'm with the c d C and in saying that 327 00:21:34,920 --> 00:21:41,120 Speaker 1: doctors should probably have to have some education UH specific 328 00:21:41,400 --> 00:21:47,320 Speaker 1: to prescribing these really heavy duty opioids. The A M 329 00:21:47,320 --> 00:21:51,320 Speaker 1: A is against it, but I think that given that 330 00:21:51,640 --> 00:21:59,080 Speaker 1: we are currently prescribing enough prescription painkillers to medicate every 331 00:21:59,160 --> 00:22:01,760 Speaker 1: adult America kind of around the clock for a month, 332 00:22:02,960 --> 00:22:07,920 Speaker 1: we are prescribing enough that we probably need to make 333 00:22:07,920 --> 00:22:11,520 Speaker 1: sure we know what we're doing. Yeah, it's it's amazing 334 00:22:11,560 --> 00:22:14,000 Speaker 1: to hear you talk about this because it sounds like 335 00:22:14,440 --> 00:22:19,560 Speaker 1: these economic factors that are increasing white middle aged mortality 336 00:22:19,600 --> 00:22:22,439 Speaker 1: and morbidity are are the same ones that are fueling 337 00:22:22,480 --> 00:22:24,119 Speaker 1: a lot of the rhetoric that we're seeing in this 338 00:22:24,240 --> 00:22:28,080 Speaker 1: election season. So, um, it's I think this is a 339 00:22:28,119 --> 00:22:30,920 Speaker 1: really important trend to keep an eye on in terms 340 00:22:30,960 --> 00:22:35,480 Speaker 1: of for for I guess that and momentum there as well. Yeah, 341 00:22:35,480 --> 00:22:39,960 Speaker 1: there was a really interesting article in the Washington Post, uh, 342 00:22:40,119 --> 00:22:43,679 Speaker 1: and during this primary season where they took states and 343 00:22:43,880 --> 00:22:48,920 Speaker 1: broke the states down into their counties and looked at 344 00:22:49,160 --> 00:22:54,399 Speaker 1: the primary results and saw really clear pattern that in 345 00:22:54,440 --> 00:22:57,320 Speaker 1: the counties where the death rates in middle age were higher, 346 00:22:59,000 --> 00:23:03,480 Speaker 1: the Trump votes were much stronger. So I thought that was, um, 347 00:23:03,720 --> 00:23:08,040 Speaker 1: quite quite interesting. I think both on the on the 348 00:23:08,160 --> 00:23:12,520 Speaker 1: right with Donald Trump and on the left with Bernie Sanders, Uh, 349 00:23:12,560 --> 00:23:17,399 Speaker 1: there is a real sense of community that feels like 350 00:23:17,480 --> 00:23:20,840 Speaker 1: they haven't been heard for a very long time, and 351 00:23:21,440 --> 00:23:25,240 Speaker 1: part of that comes out in these data on how 352 00:23:25,280 --> 00:23:30,439 Speaker 1: they're reporting their health and on mortality. Wow, that's a 353 00:23:30,440 --> 00:23:35,320 Speaker 1: lot to think about, um, And maybe to avoid ending 354 00:23:35,359 --> 00:23:38,320 Speaker 1: on such a dark note, UM, maybe I can ask 355 00:23:38,600 --> 00:23:41,560 Speaker 1: a lighter question to wrap this all up. What's it? 356 00:23:42,160 --> 00:23:45,840 Speaker 1: There are a lot of economists, I think, who where 357 00:23:45,880 --> 00:23:48,840 Speaker 1: the wife and the husband worked together on research. What's 358 00:23:48,880 --> 00:23:54,760 Speaker 1: it like to do research with your husband? It's it's terrific. 359 00:23:55,119 --> 00:23:57,480 Speaker 1: I mean, it's not that we don't have enough to 360 00:23:57,520 --> 00:24:01,000 Speaker 1: talk about without talking about work, but it's really nice 361 00:24:01,080 --> 00:24:04,440 Speaker 1: to to work with someone who shares the same kind 362 00:24:04,440 --> 00:24:07,400 Speaker 1: of passion for the work that I have. So I'm 363 00:24:07,440 --> 00:24:11,359 Speaker 1: just I'm lucky enough also to be married to someone 364 00:24:11,560 --> 00:24:15,119 Speaker 1: who just won the Nobel Prize, which has had the 365 00:24:15,160 --> 00:24:20,200 Speaker 1: effect of sprinkling fairy dust on our lives. And um, 366 00:24:20,240 --> 00:24:27,320 Speaker 1: that has been a really terrific experience. So, UM, I 367 00:24:27,520 --> 00:24:29,920 Speaker 1: it's not for everybody. I think for some people it's 368 00:24:29,920 --> 00:24:32,280 Speaker 1: really nice to be able to leave things at the office. 369 00:24:32,840 --> 00:24:36,960 Speaker 1: We never leave things at the office, which certainly, you 370 00:24:36,960 --> 00:24:39,520 Speaker 1: know you can you can imagine the downsides of that, 371 00:24:39,560 --> 00:24:44,000 Speaker 1: but it's also incredibly exciting to just always feel like 372 00:24:44,040 --> 00:24:47,880 Speaker 1: they're we have At any point, we could be saying, oh, 373 00:24:47,920 --> 00:24:50,359 Speaker 1: I have this idea about what this might be, and 374 00:24:50,400 --> 00:24:53,360 Speaker 1: then share it and then you know, uh, I think 375 00:24:53,400 --> 00:24:57,880 Speaker 1: about ways to dig into it. Yeah, that's terrific. Well, 376 00:24:57,920 --> 00:25:00,840 Speaker 1: and thank you so much for joining us today. It was. 377 00:25:00,920 --> 00:25:03,600 Speaker 1: It was great speaking with you, really my pleasure. Thanks 378 00:25:03,640 --> 00:25:06,480 Speaker 1: a lot, and thanks to you all for listening. Benchmark 379 00:25:06,520 --> 00:25:08,960 Speaker 1: will be back next week and until then, you can 380 00:25:08,960 --> 00:25:11,919 Speaker 1: find us on the Bloomberg Terminal and Bloomberg dot com, 381 00:25:11,960 --> 00:25:15,760 Speaker 1: as well as on iTunes, pocket Cast, and Stitcher. While 382 00:25:15,800 --> 00:25:17,879 Speaker 1: you're there, take a minute to rate and review the 383 00:25:17,920 --> 00:25:21,239 Speaker 1: show so more listeners can find us and let us 384 00:25:21,240 --> 00:25:22,880 Speaker 1: know what you thought of the show. You can talk 385 00:25:22,920 --> 00:25:26,199 Speaker 1: to us and follow us on Twitter at seven and 386 00:25:26,240 --> 00:25:29,919 Speaker 1: that Tory stillwell. And for our listeners who aren't on Twitter, 387 00:25:30,000 --> 00:25:34,520 Speaker 1: you can also email our producer alec at a McCabe 388 00:25:34,800 --> 00:25:38,320 Speaker 1: m c c a b e at Bloomberg dot net. 389 00:25:38,520 --> 00:25:42,159 Speaker 1: See you next week