1 00:00:00,080 --> 00:00:12,960 Speaker 1: Ye. Welcome to the Bloomberg Surveillance Podcast. I'm term Keene 2 00:00:13,480 --> 00:00:17,560 Speaker 1: jay Leie. We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:30,200 Speaker 1: Bloomberg dot Com, and of course, on the Bloomberg. This 5 00:00:30,280 --> 00:00:33,400 Speaker 1: past weekend, the field of economics lost a giant. This 6 00:00:33,560 --> 00:00:36,360 Speaker 1: program lost a very good friend. It is with great 7 00:00:36,360 --> 00:00:39,559 Speaker 1: sadness that I say that Princeton University economist Alan Krueger 8 00:00:39,800 --> 00:00:43,760 Speaker 1: has died. The course was suicide. He was fifty eight. Alan, 9 00:00:43,880 --> 00:00:47,479 Speaker 1: who had been a professor at Princeton seven, served in 10 00:00:47,479 --> 00:00:51,919 Speaker 1: Obama's White House from after a stint as the Treasury 11 00:00:51,920 --> 00:00:56,080 Speaker 1: Department's Assistant Secretary for Economic Policy. In addition, he served 12 00:00:56,120 --> 00:00:58,240 Speaker 1: as chief economist at the Labor Department for a year 13 00:00:58,320 --> 00:01:01,880 Speaker 1: during President Bill Clinton's administer ration. Our listeners will remember 14 00:01:01,920 --> 00:01:04,240 Speaker 1: him joining us on nearly every first Friday of the 15 00:01:04,280 --> 00:01:06,959 Speaker 1: month to discuss the payrolls report. He made us all 16 00:01:07,000 --> 00:01:10,559 Speaker 1: smarter every time he spoke, and put in great effort 17 00:01:10,600 --> 00:01:12,679 Speaker 1: to help us all care about the people behind the 18 00:01:12,800 --> 00:01:15,959 Speaker 1: data in a way not enough people do. He cared 19 00:01:16,319 --> 00:01:20,120 Speaker 1: a loyal public servant and a world renowned labor market expert. 20 00:01:21,080 --> 00:01:23,160 Speaker 1: I want to bring in on the phone now Danny 21 00:01:23,200 --> 00:01:25,600 Speaker 1: Blanche flat Denmouth Professor of Economics. And here in the 22 00:01:25,640 --> 00:01:31,720 Speaker 1: studio Michael Mckeeblinberg International Economics and Policy correspondent, Mike Sad 23 00:01:31,760 --> 00:01:34,920 Speaker 1: Sad day Um, and we get the opportunity now, and 24 00:01:34,959 --> 00:01:37,440 Speaker 1: we should take the opportunity to reflect on his legacy. 25 00:01:38,080 --> 00:01:41,080 Speaker 1: We were all shocked, and his legacy is a great one. 26 00:01:41,240 --> 00:01:45,000 Speaker 1: And uh when all he wishes that he had been 27 00:01:45,040 --> 00:01:47,360 Speaker 1: able to read the tributes to him over the last 28 00:01:47,400 --> 00:01:51,480 Speaker 1: twenty four hours um before he died. Because he was, 29 00:01:51,800 --> 00:01:56,280 Speaker 1: as you say, extraordinarily well respected. The amount of the 30 00:01:56,560 --> 00:02:02,000 Speaker 1: number of contributions he made in the labor anomics area tremendous. 31 00:02:02,080 --> 00:02:05,400 Speaker 1: Starting with his work on the minimum wage. He and 32 00:02:05,480 --> 00:02:08,560 Speaker 1: David card theorized that maybe what the books were telling 33 00:02:08,639 --> 00:02:13,280 Speaker 1: us was wrong and that minimum wages don't decrease unemployment. 34 00:02:14,160 --> 00:02:16,600 Speaker 1: New Jersey raised the minimum wage. They went to the border. 35 00:02:16,639 --> 00:02:18,960 Speaker 1: They looked at cities on the Pennsylvania side and the 36 00:02:19,000 --> 00:02:22,200 Speaker 1: New Jersey side and found that there was no real impact. 37 00:02:22,280 --> 00:02:26,160 Speaker 1: The findings remained controversial, and uh, there are caveats, but 38 00:02:26,280 --> 00:02:30,160 Speaker 1: basically he changed the whole conversation. And now we have 39 00:02:30,480 --> 00:02:34,239 Speaker 1: cities and states across the country raising the minimum wage. 40 00:02:34,280 --> 00:02:38,120 Speaker 1: Probably would not have happened without Alan Krueger's work. Yeah, 41 00:02:38,240 --> 00:02:40,440 Speaker 1: Danny Blanche Flower, come on in here, because one thing 42 00:02:40,520 --> 00:02:45,959 Speaker 1: Jonathan said, that's very true. Uh, he cared. Alan Kruger cared. 43 00:02:46,120 --> 00:02:48,960 Speaker 1: And can you give us a sense of some of 44 00:02:49,000 --> 00:02:51,720 Speaker 1: the research that he did. Uh, that really made a 45 00:02:51,760 --> 00:02:56,280 Speaker 1: huge difference from your perspective. Right, And a great friend 46 00:02:56,320 --> 00:02:58,720 Speaker 1: of mine. I've known since the beginning with the end 47 00:02:58,720 --> 00:03:01,360 Speaker 1: of the nineties when he first went to Princeton. So 48 00:03:01,880 --> 00:03:05,160 Speaker 1: and I remember, actually he has book on the Mister Measurement. 49 00:03:05,919 --> 00:03:09,359 Speaker 1: Actually we bought him a hat David Carden and Alan 50 00:03:09,480 --> 00:03:12,720 Speaker 1: hats and I have long memories of Alan. I mean 51 00:03:12,760 --> 00:03:15,399 Speaker 1: a titan of the field. I mean a great empiricist. 52 00:03:16,120 --> 00:03:18,760 Speaker 1: If people go and look at Google Schollar, here's ninety 53 00:03:19,120 --> 00:03:23,480 Speaker 1: thousand sights that's unbelievable. And work across the whole range 54 00:03:23,480 --> 00:03:27,960 Speaker 1: of fields. So the Mister Measurement work is courses was crucial. 55 00:03:27,960 --> 00:03:31,360 Speaker 1: But there's lots of other things. There's work on education, 56 00:03:31,919 --> 00:03:36,440 Speaker 1: there's early work on growth, um, there's work on inequality, 57 00:03:36,600 --> 00:03:41,800 Speaker 1: on computers, on uber on terrorism, on long term unemployment, 58 00:03:42,240 --> 00:03:48,120 Speaker 1: on opioids, all all all work related, two problems out 59 00:03:48,160 --> 00:03:51,600 Speaker 1: there that Alan saw about trying to look at problems 60 00:03:51,600 --> 00:03:54,520 Speaker 1: in the world, trying to do something about them and 61 00:03:54,600 --> 00:03:57,360 Speaker 1: trying to fix them. And obviously we should also talk 62 00:03:57,400 --> 00:04:00,440 Speaker 1: about the policy work that he did um as chief 63 00:04:00,440 --> 00:04:03,320 Speaker 1: eclumnist at the Labor Department with Robert Reich and Bill Clinton, 64 00:04:03,360 --> 00:04:06,720 Speaker 1: who wrote a beautiful comment yesterday for him, his time 65 00:04:07,240 --> 00:04:10,720 Speaker 1: as Assistant Secretary of the Treasury with Geitner, and then 66 00:04:10,760 --> 00:04:13,640 Speaker 1: again his time for Obama as a as the Chief 67 00:04:13,720 --> 00:04:16,760 Speaker 1: Economic Advisor, and again Obama wrote a beautiful thing yesterday. 68 00:04:17,080 --> 00:04:19,480 Speaker 1: So this is a sad, sad loss for our field, 69 00:04:19,760 --> 00:04:22,200 Speaker 1: a sad loss to me of a friend, Danny. Let's 70 00:04:22,200 --> 00:04:26,120 Speaker 1: talk about the late eighties. Michael talked about Allen's contribution 71 00:04:26,160 --> 00:04:29,039 Speaker 1: to the minimum wage debate. It was the late eighties 72 00:04:29,200 --> 00:04:32,599 Speaker 1: and overwhelmingly there was this massive consensus that for low 73 00:04:32,680 --> 00:04:35,480 Speaker 1: wage workers, if you establish a minimum wage, you'll put 74 00:04:35,560 --> 00:04:39,800 Speaker 1: up that minimum wage. It would damage employment. Just walk 75 00:04:39,880 --> 00:04:42,840 Speaker 1: me through how much Annan Krueger did to just change 76 00:04:42,839 --> 00:04:44,720 Speaker 1: the way we think about something that we take for 77 00:04:44,800 --> 00:04:48,159 Speaker 1: granted now, right, I mean, I was I remember it 78 00:04:48,279 --> 00:04:51,960 Speaker 1: very well. The early I've been working on wages, and 79 00:04:52,000 --> 00:04:55,120 Speaker 1: I remember David Carl and Allen working on this project. 80 00:04:55,120 --> 00:04:57,800 Speaker 1: I went to the original conference about the book in 81 00:04:57,839 --> 00:05:01,960 Speaker 1: I think or I think it was, And basically the 82 00:05:02,320 --> 00:05:04,480 Speaker 1: thing that they did was it was past breaking in 83 00:05:04,600 --> 00:05:07,840 Speaker 1: two senses. It was past breaking because the result you've 84 00:05:07,880 --> 00:05:11,360 Speaker 1: talked about, and it was past breaking because they conducted 85 00:05:11,440 --> 00:05:14,719 Speaker 1: experiments which actually have taken over an economic which in 86 00:05:14,760 --> 00:05:17,240 Speaker 1: the in the eighties and early nineties was just dominated 87 00:05:17,279 --> 00:05:20,800 Speaker 1: by theory. So Allen and David, particularly now and later 88 00:05:21,200 --> 00:05:23,880 Speaker 1: pushed this thing where you go and look at the world. 89 00:05:23,880 --> 00:05:26,320 Speaker 1: And what they looked at was this experiment. And then 90 00:05:26,320 --> 00:05:29,200 Speaker 1: they sitting in Princeton, They're interested in what goes on 91 00:05:29,240 --> 00:05:31,679 Speaker 1: to at the minimum wage, and they and they looked 92 00:05:31,680 --> 00:05:36,280 Speaker 1: at an experiment of fast foodhouses um along the border 93 00:05:36,279 --> 00:05:39,680 Speaker 1: between New Jersey and Pennsylvania, and you saw a rise 94 00:05:39,960 --> 00:05:42,720 Speaker 1: in the right in the minimum wage in I think 95 00:05:42,720 --> 00:05:44,640 Speaker 1: it was a New Jersey if I recall. And what 96 00:05:44,680 --> 00:05:48,279 Speaker 1: they did was they actually looked and went measured what happened. 97 00:05:48,640 --> 00:05:51,080 Speaker 1: And what they found was one of the big things 98 00:05:51,080 --> 00:05:54,200 Speaker 1: they found is as the minimum wage was right was increased. 99 00:05:54,680 --> 00:05:57,919 Speaker 1: What you saw was that people actually ended up and 100 00:05:58,040 --> 00:06:01,760 Speaker 1: they hired better people, but people day longer. So actually 101 00:06:01,800 --> 00:06:04,200 Speaker 1: what it turned out was employment fact in some of 102 00:06:04,200 --> 00:06:07,200 Speaker 1: the results, you actually see a rising employment. Arise in 103 00:06:07,200 --> 00:06:10,839 Speaker 1: the minimum wage from a very low level generated the 104 00:06:10,880 --> 00:06:16,080 Speaker 1: result that employment actually rose. And this was hugely controversial. 105 00:06:16,120 --> 00:06:18,520 Speaker 1: You can look back at the literature and the comments 106 00:06:18,600 --> 00:06:21,320 Speaker 1: made by all kinds of people about the work that 107 00:06:21,360 --> 00:06:24,159 Speaker 1: they did, and this generated a huge debate. And I 108 00:06:24,200 --> 00:06:27,200 Speaker 1: think the answer the big deal was arise in the 109 00:06:27,240 --> 00:06:31,080 Speaker 1: minimum wage when it was so low actually had positive 110 00:06:31,120 --> 00:06:35,720 Speaker 1: employment effects. So that was hugely controversial. But methodologically, really 111 00:06:35,760 --> 00:06:37,680 Speaker 1: they introduced this thing when you go and look at 112 00:06:37,720 --> 00:06:41,200 Speaker 1: the world, you see what happens there and you report it. 113 00:06:41,400 --> 00:06:43,440 Speaker 1: And that's why the book was so important. And then 114 00:06:43,480 --> 00:06:46,680 Speaker 1: Alan followed all kinds of stuff like that later I'm 115 00:06:46,760 --> 00:06:49,120 Speaker 1: conducted surveys and so on, and did so when he 116 00:06:49,160 --> 00:06:52,160 Speaker 1: worked for President Obama. Um so I mean, I mean, 117 00:06:52,160 --> 00:06:53,640 Speaker 1: as I said, I think the right word I would 118 00:06:53,640 --> 00:06:55,680 Speaker 1: say is a true tightener, and the other thing I 119 00:06:55,680 --> 00:06:57,960 Speaker 1: actually sound and perhaps go back to what Mike was saying, 120 00:06:58,400 --> 00:07:01,640 Speaker 1: I think the question Alan was an absolute shoe it 121 00:07:02,160 --> 00:07:04,680 Speaker 1: to win the Nobel Prize there's no doubt of that. 122 00:07:04,760 --> 00:07:08,279 Speaker 1: Probably the greatest, the greatest incuraicist we've seen of our age. 123 00:07:08,480 --> 00:07:12,280 Speaker 1: We really have lost someone who was really important. The 124 00:07:12,280 --> 00:07:16,200 Speaker 1: the idea that he looked at data and gathered data 125 00:07:16,280 --> 00:07:19,560 Speaker 1: that wasn't available and based his conclusions on data very 126 00:07:19,600 --> 00:07:22,800 Speaker 1: important because a lot of people look at his career, 127 00:07:22,880 --> 00:07:25,040 Speaker 1: they look at the minimum wage, they look at his 128 00:07:25,080 --> 00:07:28,720 Speaker 1: employment in two Democratic administrations, and they say he had 129 00:07:28,760 --> 00:07:32,040 Speaker 1: to be a liberal Democrat, But he was really uh 130 00:07:32,120 --> 00:07:36,240 Speaker 1: an economist looking at problems. As Danny said, one of 131 00:07:36,280 --> 00:07:39,640 Speaker 1: the most interesting things he did was look at the 132 00:07:39,680 --> 00:07:43,240 Speaker 1: effect of licensing unemployment. You have to be licensed to 133 00:07:43,280 --> 00:07:45,600 Speaker 1: be a hairdresser, you have to be licensed in states 134 00:07:45,800 --> 00:07:48,920 Speaker 1: to braid hair, things like that, and the impact that 135 00:07:49,040 --> 00:07:53,680 Speaker 1: had on holding down employment. And that is a conservative 136 00:07:54,080 --> 00:07:56,880 Speaker 1: cause and a lot of people on the Republican side 137 00:07:56,920 --> 00:08:00,480 Speaker 1: have cited that as important work. So it wasn't that 138 00:08:00,520 --> 00:08:04,000 Speaker 1: he was taking a liberal or conservative viewpoint. He was 139 00:08:04,000 --> 00:08:07,480 Speaker 1: taking an economist foot point. And he really also highlighted 140 00:08:07,520 --> 00:08:11,600 Speaker 1: the opioid epidemic as a problem for the labor force, 141 00:08:11,760 --> 00:08:16,840 Speaker 1: showing detailing how nearly half of men fifty four and 142 00:08:16,920 --> 00:08:20,320 Speaker 1: not in the labor force took pain medication every day. 143 00:08:20,360 --> 00:08:24,080 Speaker 1: This was revolutionary, Danny, and definitely changed the conversation in 144 00:08:24,120 --> 00:08:28,280 Speaker 1: the United States about this about this epidemic. Absolutely, I 145 00:08:28,400 --> 00:08:31,200 Speaker 1: had a big influence on me. I talked to Alan 146 00:08:31,240 --> 00:08:32,920 Speaker 1: about the work that he'd done. I actually went off 147 00:08:32,960 --> 00:08:35,679 Speaker 1: afterwards that wrote the paper myself about pain. I mean, 148 00:08:35,720 --> 00:08:39,920 Speaker 1: Alan's work was really important. Let's let's broaden it, um. 149 00:08:39,960 --> 00:08:42,240 Speaker 1: The work on pain was really important. To work on 150 00:08:42,400 --> 00:08:45,520 Speaker 1: people leaving the labor force was really important. So this 151 00:08:45,600 --> 00:08:48,480 Speaker 1: was about I mean, I absolutely agree with everything Might 152 00:08:48,559 --> 00:08:51,440 Speaker 1: just said. I think you would also say his work 153 00:08:51,559 --> 00:08:54,760 Speaker 1: was about trying to improve the human condition. I mean, 154 00:08:54,800 --> 00:08:58,640 Speaker 1: think about this work about opiod. Mike's completely right, this 155 00:08:58,720 --> 00:09:01,040 Speaker 1: is not political. I'm I always think that what Alan 156 00:09:01,120 --> 00:09:04,360 Speaker 1: did was he snapped at the heels of complacency, try 157 00:09:04,440 --> 00:09:07,520 Speaker 1: to look at things and said is that right? So 158 00:09:07,600 --> 00:09:09,560 Speaker 1: he went and worked on Uber. But there's a great 159 00:09:09,600 --> 00:09:11,760 Speaker 1: paper he works on trying to look at what happened 160 00:09:11,760 --> 00:09:14,720 Speaker 1: at Firestone, looking at the looking at the evidence and 161 00:09:14,720 --> 00:09:17,760 Speaker 1: the factory and says, why did those Firestone tires fail? 162 00:09:17,920 --> 00:09:20,920 Speaker 1: Turned out they failed because the quality of workers who 163 00:09:20,920 --> 00:09:23,680 Speaker 1: actually made him in a two week period was actually 164 00:09:23,679 --> 00:09:25,840 Speaker 1: the really important thing that Alan went and looked at 165 00:09:25,880 --> 00:09:29,160 Speaker 1: the data and thought about it as as Mike said, 166 00:09:29,880 --> 00:09:33,640 Speaker 1: not political in that sense, trying to think about improving 167 00:09:33,640 --> 00:09:37,520 Speaker 1: the human condition and understanding how how the economy works. 168 00:09:37,600 --> 00:09:41,640 Speaker 1: And I think that's that's crucial and central to his contribution. 169 00:09:42,240 --> 00:09:45,680 Speaker 1: I mean, work on inequality. What what what? What? Why 170 00:09:45,760 --> 00:09:48,400 Speaker 1: is the inequality rising? What's the cause of it? He 171 00:09:48,559 --> 00:09:52,840 Speaker 1: talked about computers and the use of computers impacting people's 172 00:09:52,880 --> 00:09:56,079 Speaker 1: wage rates. That's not political, It's about trying to understand 173 00:09:56,280 --> 00:09:58,840 Speaker 1: how the world works. Danny is great to catch how 174 00:09:58,880 --> 00:10:02,120 Speaker 1: but you Danny Blanche flat down with professor of Economics 175 00:10:02,160 --> 00:10:05,199 Speaker 1: and a special thanks to Michael mcke Blomberg International Economics 176 00:10:05,240 --> 00:10:08,400 Speaker 1: and Policy correspondent. We should say that if you are 177 00:10:08,440 --> 00:10:11,200 Speaker 1: having thoughts of suicide, please do call the National Suicide 178 00:10:11,200 --> 00:10:16,480 Speaker 1: Prevention Life Flotline at seven three eight to five, or 179 00:10:16,520 --> 00:10:20,120 Speaker 1: go to Speaking of Suicide dot com, forward slash resources. 180 00:10:20,400 --> 00:10:24,040 Speaker 1: Princeton University economist Alan Krueger has died. His contribution to 181 00:10:24,120 --> 00:10:27,120 Speaker 1: the field of economics cannot be overstated. He will be 182 00:10:27,160 --> 00:10:30,040 Speaker 1: missed by all that knew him, including all of us 183 00:10:30,080 --> 00:10:49,640 Speaker 1: here at Bloomberg. Over the weekend, America lost a brilliant 184 00:10:49,679 --> 00:10:53,840 Speaker 1: economist and many of us lost a dear friend. This 185 00:10:54,000 --> 00:10:57,559 Speaker 1: according to former President Barack Obama. He was talking about 186 00:10:57,600 --> 00:11:02,240 Speaker 1: Alan Krueger at the Princeton professor and advisor to UH 187 00:11:02,520 --> 00:11:08,040 Speaker 1: former Presidents Obama and Clinton. UH President Obama saying he 188 00:11:08,080 --> 00:11:11,400 Speaker 1: saw economic policy not as a matter of abstract theories, 189 00:11:11,440 --> 00:11:14,560 Speaker 1: but as a way to make people's lives better. He 190 00:11:14,840 --> 00:11:17,800 Speaker 1: died over the weekend at age fifty eight. The cause 191 00:11:18,080 --> 00:11:22,640 Speaker 1: was suicide. UH. We want to remember Alan Krueger for 192 00:11:22,800 --> 00:11:26,719 Speaker 1: so many things, for his contributions to the field of economics, 193 00:11:26,760 --> 00:11:32,400 Speaker 1: but also to his personality which graced this show, graced 194 00:11:32,480 --> 00:11:37,199 Speaker 1: many shows on Bloomberg and throughout the media and economics 195 00:11:37,240 --> 00:11:43,000 Speaker 1: profession influenced politics, crossed both aisles of the political spectrum 196 00:11:43,280 --> 00:11:46,840 Speaker 1: and joining us to do so. Bessie Stevenson, Bloomberg Opinion columnist, 197 00:11:46,960 --> 00:11:51,479 Speaker 1: former U S Department of Labor Chief economist, currently Associate 198 00:11:51,480 --> 00:11:55,040 Speaker 1: Professor of Public Policy at the University of Michigan's Ford School, 199 00:11:55,120 --> 00:11:57,920 Speaker 1: joining us by phone. Peter Koy also joining us Bloomberg 200 00:11:57,960 --> 00:12:02,600 Speaker 1: Business Week, Head of Economics. Here in our Bloomberg eleven 201 00:12:02,679 --> 00:12:05,800 Speaker 1: three Oh Studios, Betsy, I want to start with you. 202 00:12:05,960 --> 00:12:09,280 Speaker 1: I I know you know you knew Alan Krueger personally. 203 00:12:09,360 --> 00:12:12,679 Speaker 1: Can you give me a sense of what his biggest contribution, 204 00:12:13,000 --> 00:12:16,920 Speaker 1: in your mind was to the economics profession. Oh, that's 205 00:12:16,960 --> 00:12:20,280 Speaker 1: a really a hard place to start. I think, Um, 206 00:12:20,360 --> 00:12:25,079 Speaker 1: Alan's biggest contribution to the profession was his insatiable curiosity, 207 00:12:25,120 --> 00:12:29,920 Speaker 1: and that insatiable curiosity led him to UM investigate so 208 00:12:29,960 --> 00:12:32,720 Speaker 1: many things that have gone on to be incredibly important. 209 00:12:33,200 --> 00:12:37,040 Speaker 1: Lots of people cite his minimum wage work UM, which really, 210 00:12:37,559 --> 00:12:42,360 Speaker 1: through careful empirical analysis, shows that the kind of negative 211 00:12:42,400 --> 00:12:45,920 Speaker 1: employment effects that we are our models taught us might 212 00:12:45,960 --> 00:12:48,079 Speaker 1: happen with a minimum wage didn't seem to be as 213 00:12:48,120 --> 00:12:51,120 Speaker 1: bad in practice. UM. And that again came out of 214 00:12:51,160 --> 00:12:56,720 Speaker 1: his real curiosity. He had a knack for trying to identify, um, 215 00:12:56,840 --> 00:13:00,080 Speaker 1: what economists call natural experiments, trying to look around the 216 00:13:00,120 --> 00:13:02,520 Speaker 1: world and see, is there something that can help me 217 00:13:02,559 --> 00:13:06,800 Speaker 1: get at the root causal effect of some kind of policy? 218 00:13:07,160 --> 00:13:10,480 Speaker 1: And so with that, you know, he's pioneered a real 219 00:13:10,559 --> 00:13:14,360 Speaker 1: empirical revolution. And uh, and so I think if you 220 00:13:14,400 --> 00:13:17,840 Speaker 1: ask somebody the profession was his biggest contribution, it was 221 00:13:18,240 --> 00:13:22,439 Speaker 1: um what some people call the credibility revolution, bringing empirical 222 00:13:22,480 --> 00:13:28,080 Speaker 1: analysis to economics in order to be able to objectively 223 00:13:28,120 --> 00:13:30,959 Speaker 1: look at questions and find the answer regardless of your 224 00:13:31,240 --> 00:13:38,480 Speaker 1: preconceived notions, based on scientific analysis. Peter, boy, you were 225 00:13:38,520 --> 00:13:41,959 Speaker 1: the chief economist of the Labor Department, which was a 226 00:13:42,080 --> 00:13:45,640 Speaker 1: job he had had before. What what did he tell 227 00:13:45,679 --> 00:13:50,400 Speaker 1: you before you took that post? Um? You know he 228 00:13:50,840 --> 00:13:55,079 Speaker 1: uh uh. For me, it was a really um tough 229 00:13:55,120 --> 00:13:57,280 Speaker 1: decision whether I should take that post because I was 230 00:13:57,360 --> 00:14:00,000 Speaker 1: actually still an assistant professor. I was a ten year 231 00:14:00,120 --> 00:14:03,839 Speaker 1: yet um, and you know, Alan had the view that 232 00:14:03,920 --> 00:14:07,040 Speaker 1: it was a really hard job, but it was incredibly 233 00:14:07,920 --> 00:14:12,320 Speaker 1: fulfilling and that what we were doing and our profession 234 00:14:12,440 --> 00:14:14,920 Speaker 1: was trying to make people's lives better and getting some 235 00:14:15,040 --> 00:14:20,120 Speaker 1: experience on the ground. Um. You know, actually working with 236 00:14:20,240 --> 00:14:24,480 Speaker 1: a policy um that we were um studying and debating 237 00:14:24,480 --> 00:14:27,680 Speaker 1: would make me a better economist than he was, right, Peter, 238 00:14:27,800 --> 00:14:30,120 Speaker 1: you know, it's interesting to me. I'm thinking of some 239 00:14:30,160 --> 00:14:34,080 Speaker 1: of the more recent contributions, uh that Professor Krueger made 240 00:14:34,640 --> 00:14:36,920 Speaker 1: having to do with the opioid epidemic, where he changed 241 00:14:36,920 --> 00:14:41,440 Speaker 1: the conversation very much about what the impact was. Can 242 00:14:41,480 --> 00:14:43,360 Speaker 1: you give us a sense of how much he did 243 00:14:43,640 --> 00:14:48,240 Speaker 1: change that conversation. You know, as Bessie Stevenson said, he 244 00:14:48,360 --> 00:14:50,760 Speaker 1: was all about getting the data and looking at it 245 00:14:50,800 --> 00:14:54,000 Speaker 1: in fresh ways, and people have had a sense that 246 00:14:54,160 --> 00:14:57,040 Speaker 1: opioids were an issue, but it wasn't until he gathered 247 00:14:57,080 --> 00:14:59,680 Speaker 1: the data that people grasped how big the issue was. 248 00:15:00,200 --> 00:15:02,440 Speaker 1: I think he found that if you looked at um 249 00:15:03,040 --> 00:15:06,560 Speaker 1: working age males who were not in the labor force, 250 00:15:07,320 --> 00:15:11,160 Speaker 1: close to half of them were taking pain killers of 251 00:15:11,200 --> 00:15:15,840 Speaker 1: one kind or another. And that, you know, could have 252 00:15:15,880 --> 00:15:18,520 Speaker 1: been as hard to disentangle the cause and effect, whether 253 00:15:18,560 --> 00:15:19,960 Speaker 1: it was because they were in pain that they were 254 00:15:19,960 --> 00:15:21,600 Speaker 1: out of labor force, or whether it was taken to 255 00:15:21,640 --> 00:15:24,520 Speaker 1: pain killers that made the mindfit for the labor force. 256 00:15:24,600 --> 00:15:28,600 Speaker 1: But one way or another, it was crucial information that 257 00:15:28,640 --> 00:15:33,000 Speaker 1: has really, I think made people even more sensitive to 258 00:15:33,040 --> 00:15:36,200 Speaker 1: the depths of the opioid crisis and is as many 259 00:15:36,200 --> 00:15:40,040 Speaker 1: other things he's done, led to policy changes. So definitely, 260 00:15:40,640 --> 00:15:44,400 Speaker 1: Alan Krueger made a lot of contributions on the economics side. 261 00:15:45,000 --> 00:15:48,280 Speaker 1: On a personal level, he was just a wonderful guy 262 00:15:48,520 --> 00:15:51,840 Speaker 1: and Betsy Stevenson, you you spent a lot of time 263 00:15:51,880 --> 00:15:53,600 Speaker 1: with him. I mean, can you give us a sense 264 00:15:53,600 --> 00:15:57,640 Speaker 1: of what it was like to work with him. UM. 265 00:15:57,760 --> 00:16:01,360 Speaker 1: So you know, Alan was really a wonderful guy. Is 266 00:16:01,400 --> 00:16:06,640 Speaker 1: the right way to say. He's extremely generous, UM and 267 00:16:06,640 --> 00:16:11,600 Speaker 1: in kind and easy going, and those were not Um 268 00:16:11,840 --> 00:16:17,440 Speaker 1: qualities they too often found an economists. He was. He 269 00:16:17,600 --> 00:16:22,080 Speaker 1: was someone who really was enthusiastic about all his foreignings 270 00:16:22,120 --> 00:16:25,320 Speaker 1: and was excited to share them with people who wanted 271 00:16:25,360 --> 00:16:30,560 Speaker 1: to listen. UM. And you know, Katherine Rampell has a 272 00:16:30,600 --> 00:16:34,280 Speaker 1: really lovely column about being his research assistant and the 273 00:16:34,720 --> 00:16:40,600 Speaker 1: Washington Post and how he you know, took her, you know, 274 00:16:40,640 --> 00:16:43,000 Speaker 1: the suggestions of a nineteen year old about how he 275 00:16:43,000 --> 00:16:46,160 Speaker 1: couldn't prove his writing, which she now cringes to think 276 00:16:46,200 --> 00:16:52,440 Speaker 1: about UM with you know, joy and happiness that you know, 277 00:16:53,120 --> 00:16:56,080 Speaker 1: that was his approach. He was a person who was 278 00:16:56,120 --> 00:16:59,800 Speaker 1: really easy to talk to. UM. And and I think 279 00:17:00,200 --> 00:17:03,000 Speaker 1: mentored just an enormous amount of people. And I think 280 00:17:03,000 --> 00:17:06,720 Speaker 1: you see that by that outpouring of tributes and grief 281 00:17:06,840 --> 00:17:10,840 Speaker 1: UM on social media, because he really did take the 282 00:17:10,960 --> 00:17:16,480 Speaker 1: time to mentor young faculty and young undergrads and people 283 00:17:16,480 --> 00:17:19,480 Speaker 1: who were interested in economics. UM. And you saw that 284 00:17:19,520 --> 00:17:21,760 Speaker 1: on your show. He would take the time to come 285 00:17:21,800 --> 00:17:24,680 Speaker 1: and and chat with you guys about economics, because that 286 00:17:24,800 --> 00:17:27,600 Speaker 1: is is who he was with, someone who was always 287 00:17:28,080 --> 00:17:32,560 Speaker 1: excited to be around people and help, you know, advance 288 00:17:32,680 --> 00:17:35,280 Speaker 1: the study and knowledge of economics. And when he would 289 00:17:35,320 --> 00:17:38,520 Speaker 1: come into the radio studio or the television said, he 290 00:17:38,560 --> 00:17:42,000 Speaker 1: would stay after the segment was over. He would come early, 291 00:17:42,320 --> 00:17:44,640 Speaker 1: and he would talk about tennis, and he would talk 292 00:17:44,680 --> 00:17:47,760 Speaker 1: about vacation plans. So it was not just, you know, 293 00:17:47,800 --> 00:17:51,119 Speaker 1: a sort of hit and run. Peter Koy, I am curious. 294 00:17:51,680 --> 00:17:54,880 Speaker 1: There is this feeling that economics is sort of its 295 00:17:54,920 --> 00:18:01,280 Speaker 1: own language and then it speaks of different curves and ratios. 296 00:18:01,560 --> 00:18:05,640 Speaker 1: And Alan Krueger really touched on pop culture in many ways. 297 00:18:05,680 --> 00:18:09,359 Speaker 1: At one point even looking at concert tickets how they 298 00:18:09,359 --> 00:18:11,800 Speaker 1: had surged him price. It started to generate more revenues 299 00:18:11,840 --> 00:18:14,440 Speaker 1: for performers than CD sales. Can you talk a little 300 00:18:14,480 --> 00:18:19,159 Speaker 1: bit about the sort of importance of the tangible aspects 301 00:18:19,240 --> 00:18:23,639 Speaker 1: of some of his research. He incorporated the economics of 302 00:18:23,720 --> 00:18:27,040 Speaker 1: rock and roll into his freshman econ course at Princeton, 303 00:18:27,119 --> 00:18:30,960 Speaker 1: which was hugely popular, and it's because it was a 304 00:18:31,000 --> 00:18:36,640 Speaker 1: window into supplying demand, changing nature of labor markets that 305 00:18:37,640 --> 00:18:40,040 Speaker 1: you can really learn from and that was a book. 306 00:18:40,080 --> 00:18:42,600 Speaker 1: He's a book out this year called rock an Omics, 307 00:18:43,320 --> 00:18:48,320 Speaker 1: and he's um, I hope it sells really well because 308 00:18:48,600 --> 00:18:51,840 Speaker 1: in some ways it'll be his last gift to us. 309 00:18:54,080 --> 00:18:57,760 Speaker 1: It's incredibly sad. Yes, thank you both for being with us. 310 00:18:57,800 --> 00:19:01,480 Speaker 1: Betsy Stevenson, Bloomer opinion columnist, former U S Department of 311 00:19:01,560 --> 00:19:05,640 Speaker 1: Labor Chief economist as well as an associate professor at 312 00:19:05,840 --> 00:19:10,359 Speaker 1: the University of Michigan's Forward School. Peter Koy, Bloomberg economics 313 00:19:10,440 --> 00:19:13,720 Speaker 1: editor for the Business Week magazine, joining us here in 314 00:19:14,040 --> 00:19:19,280 Speaker 1: the Bloomberg Interactive Broker Studios. We are remembering Alan Krueger, 315 00:19:19,600 --> 00:19:23,679 Speaker 1: Princeton professor, advisor to UH former Presidents Barack Obama and 316 00:19:23,680 --> 00:19:29,480 Speaker 1: Bill Clinton, longtime economics behemoth, someone who is expected to 317 00:19:29,480 --> 00:19:34,240 Speaker 1: win the Policer Prize UH and and and really in economics. UH, 318 00:19:34,640 --> 00:19:39,359 Speaker 1: we lost a huge giant of the field. UH. He died. 319 00:19:39,480 --> 00:19:43,440 Speaker 1: The cause was suicide. He was fifty eight years old. 320 00:19:43,800 --> 00:19:46,560 Speaker 1: If you are having thoughts of suicide, please do call 321 00:19:46,680 --> 00:19:51,120 Speaker 1: the National Suicide Prevention Lifeline at two seven three, eight 322 00:19:51,119 --> 00:19:55,280 Speaker 1: to five five, or go to Speaking of Suicide dot com, 323 00:19:55,320 --> 00:20:01,600 Speaker 1: Forward Slash resources get help, seek it out how the conversation. Uh, 324 00:20:01,760 --> 00:20:10,919 Speaker 1: it is worth it. Thanks for listening to the Bloomberg 325 00:20:10,920 --> 00:20:16,880 Speaker 1: Surveillance podcast. Subscribe and listen to interviews on Apple Podcasts, SoundCloud, 326 00:20:17,240 --> 00:20:21,480 Speaker 1: or whichever podcast platform you prefer. I'm on Twitter at 327 00:20:21,520 --> 00:20:25,760 Speaker 1: Tom Keene before the podcast. You can always catch us worldwide. 328 00:20:26,200 --> 00:20:27,320 Speaker 1: I'm Bloomberg Radio