1 00:00:05,840 --> 00:00:08,680 Speaker 1: Hello, and welcome to Stephanomics, the podcast that brings the 2 00:00:08,680 --> 00:00:11,920 Speaker 1: global economy to you. We have two takes on aging 3 00:00:12,080 --> 00:00:16,160 Speaker 1: this week from opposite sides of the world. First, from Shanghai, 4 00:00:16,480 --> 00:00:19,040 Speaker 1: we hear how the Chinese Communist Party is turning to 5 00:00:19,120 --> 00:00:22,400 Speaker 1: an old idea time banking, to help them deal with 6 00:00:22,440 --> 00:00:26,440 Speaker 1: the looming challenge of a fast aging population. Then from 7 00:00:26,480 --> 00:00:29,440 Speaker 1: the US, a piece on student debt, which could surprise 8 00:00:29,480 --> 00:00:32,640 Speaker 1: you sky. Higher university fees and the heavy burden of 9 00:00:32,680 --> 00:00:35,560 Speaker 1: student debt have been big issues on the campaign trail 10 00:00:35,680 --> 00:00:38,159 Speaker 1: in recent U S elections. But if I asked you 11 00:00:38,200 --> 00:00:40,879 Speaker 1: to conjure up a mental image of the people saddled 12 00:00:40,920 --> 00:00:43,760 Speaker 1: with all this debt, it probably wouldn't be a seventy 13 00:00:43,840 --> 00:00:48,160 Speaker 1: or eighty something retiree living in Florida. It turns out 14 00:00:48,320 --> 00:00:51,680 Speaker 1: the burden of student debt is growing fastest among the 15 00:00:51,720 --> 00:00:54,800 Speaker 1: over sixties. In a few minutes, we'll hear from some 16 00:00:54,880 --> 00:00:57,720 Speaker 1: of the people struggling with this and learn how government 17 00:00:57,760 --> 00:01:01,720 Speaker 1: programs seem to be making it worse. We'll also here 18 00:01:01,720 --> 00:01:05,280 Speaker 1: why menu prices are quietly soaring but many of your 19 00:01:05,319 --> 00:01:09,160 Speaker 1: favorite restaurants. But first let's head to Shanghai for that 20 00:01:09,240 --> 00:01:26,319 Speaker 1: report from Bloomberg Economy reporter Charlie Juma. What you heard 21 00:01:26,480 --> 00:01:30,480 Speaker 1: is parking music for some elderly folks in Shanghai. It's 22 00:01:30,520 --> 00:01:33,720 Speaker 1: five pm on a Monday. About a dozen elderly men 23 00:01:33,840 --> 00:01:36,880 Speaker 1: and women were already gathering at the leafy downtown street 24 00:01:36,920 --> 00:01:39,720 Speaker 1: side park in Shanghai to get ready for one of 25 00:01:39,760 --> 00:01:46,200 Speaker 1: their routines, dancing in the squares or guangchang wu in Chinese. 26 00:01:48,040 --> 00:01:51,160 Speaker 1: It's a familiar side in cities across this vast nation, 27 00:01:51,560 --> 00:01:55,640 Speaker 1: which is rapidly aging. The latest census data show the 28 00:01:55,680 --> 00:01:59,320 Speaker 1: country has two sixty million residents aged sixty and above, 29 00:01:59,840 --> 00:02:03,559 Speaker 1: more than eight percent of its population. By twenty fifty, 30 00:02:03,960 --> 00:02:08,760 Speaker 1: it will be one in three. To diffuse this demographic 31 00:02:08,800 --> 00:02:11,880 Speaker 1: time bomb, the Chinese Communist Party is turning into a 32 00:02:11,919 --> 00:02:16,280 Speaker 1: foreign invention. Time banking, the brain child of Japanese lady 33 00:02:16,280 --> 00:02:20,720 Speaker 1: Taruku Missushima in the nineties seventies. Time banking involves people 34 00:02:20,800 --> 00:02:24,640 Speaker 1: providing social services to others in exchange for time credit 35 00:02:25,000 --> 00:02:28,200 Speaker 1: that the participant can use to access similar services later 36 00:02:28,200 --> 00:02:36,440 Speaker 1: in life. On a recent Wednesday morning, I went to 37 00:02:36,480 --> 00:02:39,160 Speaker 1: see a time bank for myself at an elderly care 38 00:02:39,200 --> 00:02:49,040 Speaker 1: home in Shanghai's Changning district. A handful of Time Bank volunteers, 39 00:02:49,480 --> 00:02:53,520 Speaker 1: mostly retirees in the sixties or seventies, are busy working, 40 00:02:54,040 --> 00:02:56,720 Speaker 1: each wearing badges bearing the logos of the Time Bank 41 00:02:56,800 --> 00:03:00,280 Speaker 1: the workforce. One was teaching an elderly neighbor how to 42 00:03:00,400 --> 00:03:03,240 Speaker 1: use a stationary bike in a small gym another word 43 00:03:03,320 --> 00:03:09,079 Speaker 1: advertising bathroom and kitchen accessories designed for seniors. For the work, 44 00:03:09,320 --> 00:03:12,160 Speaker 1: the volunteers will get paid not in money, but in time. 45 00:03:12,600 --> 00:03:15,720 Speaker 1: They can use their accrue hours to access services from 46 00:03:15,720 --> 00:03:19,400 Speaker 1: other members of the bank. One I met was Fundundi. 47 00:03:19,840 --> 00:03:23,200 Speaker 1: The seventy six year old former travel services manager, is 48 00:03:23,240 --> 00:03:26,880 Speaker 1: one of many so called empty nest seniors. Her husband 49 00:03:26,880 --> 00:03:29,880 Speaker 1: passed away several years ago, and her only child is 50 00:03:29,919 --> 00:03:32,880 Speaker 1: married and lives in another part of the city. She 51 00:03:33,000 --> 00:03:35,640 Speaker 1: started working for the Channing Time Bank as a part 52 00:03:35,640 --> 00:03:38,680 Speaker 1: time receptionist at the senior care house two years ago. 53 00:03:39,280 --> 00:03:43,760 Speaker 1: More recently, she ventured into something slightly more challenging, teaching 54 00:03:43,760 --> 00:03:46,960 Speaker 1: her fellow seniors how to download pictures on Wi Chat, 55 00:03:47,400 --> 00:03:50,800 Speaker 1: the Chinese super app used for everything from instant messaging 56 00:03:50,880 --> 00:04:01,160 Speaker 1: to payment. Asked why she came here to do this, 57 00:04:01,720 --> 00:04:04,600 Speaker 1: she said she wanted to save time dollars for her future. 58 00:04:04,960 --> 00:04:08,000 Speaker 1: What's probably more important, she said, the job is the 59 00:04:08,040 --> 00:04:12,640 Speaker 1: past time for her either. It feels kind of lonely 60 00:04:12,720 --> 00:04:15,680 Speaker 1: at home. It's staying by myself for too long. I'm 61 00:04:15,680 --> 00:04:18,800 Speaker 1: afraid i will get in mania. I'm not really happy 62 00:04:18,880 --> 00:04:23,640 Speaker 1: to hand around with other seniors. Fun has accumulated eight 63 00:04:23,680 --> 00:04:26,280 Speaker 1: time dollars so far, a sum that would have been 64 00:04:26,360 --> 00:04:29,240 Speaker 1: much higher if not for the pandemic last year. She 65 00:04:29,360 --> 00:04:31,600 Speaker 1: told me she has no plan to spend it now, 66 00:04:32,000 --> 00:04:35,480 Speaker 1: and she's keen to save more for future. China launch 67 00:04:35,520 --> 00:04:38,360 Speaker 1: a pilot time banking program in some cities a few 68 00:04:38,440 --> 00:04:41,240 Speaker 1: years ago. The trial has since spread to about a 69 00:04:41,240 --> 00:04:45,279 Speaker 1: dozen metropolisis from Beijing to Guangzhou and the financial hub 70 00:04:45,320 --> 00:04:49,120 Speaker 1: of Shanghai. Shanghai is planning to extend the trial to 71 00:04:49,200 --> 00:04:52,480 Speaker 1: the entire city from just a few districts. The reason 72 00:04:52,520 --> 00:04:58,160 Speaker 1: to broadened experiment is straightforward, a rapidly aging population, rising 73 00:04:58,200 --> 00:05:04,000 Speaker 1: cost of senior care, and shortage of care facilities. Nin Teger, 74 00:05:04,400 --> 00:05:08,560 Speaker 1: head of China's National Bureau of Statistics, expressed concerns about 75 00:05:08,640 --> 00:05:12,320 Speaker 1: China's demographic train last month when he announced China's latest 76 00:05:12,320 --> 00:05:17,520 Speaker 1: census result at the press briefing don't go and do. 77 00:05:17,680 --> 00:05:23,320 Speaker 1: The aging of the population is further deepening. China is 78 00:05:23,360 --> 00:05:28,760 Speaker 1: facing the pressure of long term sustainable development of its population. 79 00:05:29,880 --> 00:05:33,279 Speaker 1: The data showed the number of Chinese people aged sixty 80 00:05:33,279 --> 00:05:37,039 Speaker 1: and above has reason by forty since two thousand and ten, 81 00:05:37,600 --> 00:05:41,040 Speaker 1: while China's births have fallen to their lowest in almost 82 00:05:41,120 --> 00:05:45,000 Speaker 1: six decades, putting the country's population on course to peak 83 00:05:45,279 --> 00:05:51,000 Speaker 1: within the next five years. The demographic clifvage, of course, 84 00:05:51,320 --> 00:05:55,000 Speaker 1: is a problem of government's ownmaking. After decades of imposing 85 00:05:55,040 --> 00:05:58,640 Speaker 1: a heavy handed one China policy, China has announced its 86 00:05:58,680 --> 00:06:02,159 Speaker 1: planning to raise the retire manage allow all couples to 87 00:06:02,200 --> 00:06:05,760 Speaker 1: have not two, but three children. But most urgent is 88 00:06:05,760 --> 00:06:11,560 Speaker 1: strengthening the care for elderly citizens to be sure. Challenges 89 00:06:11,560 --> 00:06:14,280 Speaker 1: facing time banking and China bound from a lack of 90 00:06:14,279 --> 00:06:17,479 Speaker 1: public understanding of the concept to maintaining the quality of 91 00:06:17,520 --> 00:06:22,599 Speaker 1: services and securely storing time dollars. Yet some industry experts 92 00:06:22,640 --> 00:06:26,880 Speaker 1: are optimistic, citing the government's commitment and the widespread use 93 00:06:26,880 --> 00:06:31,040 Speaker 1: of mobile phones. Among the optimists, it's Siging who runs 94 00:06:31,040 --> 00:06:37,000 Speaker 1: the time back in the central Chinese city of Wuhan 95 00:06:37,920 --> 00:06:44,240 Speaker 1: in the comers in China has its own characteristics. It 96 00:06:44,360 --> 00:06:47,640 Speaker 1: usually has grand plans for a lot of things with 97 00:06:47,760 --> 00:06:53,120 Speaker 1: top down designs. Under such a leadership, I believe different 98 00:06:53,120 --> 00:06:59,560 Speaker 1: places will come up with different ways to promote time banking. 99 00:07:00,360 --> 00:07:03,479 Speaker 1: The reason for Shanghai to push forward time banking is compelling. 100 00:07:04,000 --> 00:07:06,839 Speaker 1: The city has almost six million residents who are sixt 101 00:07:07,000 --> 00:07:10,440 Speaker 1: and above, or nearly a quarter of its total population, 102 00:07:10,920 --> 00:07:13,880 Speaker 1: far above China's national average and about the same as 103 00:07:13,920 --> 00:07:18,840 Speaker 1: some developed countries. Set Up in two thousand nine, the 104 00:07:18,920 --> 00:07:22,280 Speaker 1: Chinese Time Bank has signed up more than two thousand members. 105 00:07:22,320 --> 00:07:25,600 Speaker 1: They have deposited over two thousand furs into the bank, 106 00:07:26,040 --> 00:07:29,600 Speaker 1: translating into some fifty five R and B or eighty 107 00:07:30,200 --> 00:07:32,720 Speaker 1: dollars in the value of senior care services based on 108 00:07:32,760 --> 00:07:36,880 Speaker 1: Shanghai's minimum wage. Only a fraction of the time deposits 109 00:07:36,920 --> 00:07:40,360 Speaker 1: has been used, as most members are fifty to seventy 110 00:07:40,360 --> 00:07:44,200 Speaker 1: euro retirees who have pension income but worry about rising 111 00:07:44,240 --> 00:07:51,240 Speaker 1: costs of senior care. In a recent interview, Good Zoo, 112 00:07:51,880 --> 00:07:55,520 Speaker 1: an official of the Shanghai Municipal Civil Affairs Bureau, told 113 00:07:55,560 --> 00:07:58,480 Speaker 1: us that unlike overseas time banks whose members are from 114 00:07:58,560 --> 00:08:01,800 Speaker 1: various age groups. Shanghai is mainly pushing for the model 115 00:08:01,840 --> 00:08:04,640 Speaker 1: of so called young old serving the elder in light 116 00:08:04,720 --> 00:08:08,200 Speaker 1: of the city's demographic structure. Due to the age of 117 00:08:08,280 --> 00:08:11,400 Speaker 1: its members, the scope of the services the Chinese time 118 00:08:11,400 --> 00:08:14,880 Speaker 1: bank provide is limited to helping with essentials such as 119 00:08:14,960 --> 00:08:20,720 Speaker 1: paying utility bills and doing the grocery shopping. Time banking 120 00:08:20,880 --> 00:08:24,800 Speaker 1: is a concept from abroad. During the process of localization. 121 00:08:25,200 --> 00:08:27,840 Speaker 1: We have to twicket according to the needs of elderly 122 00:08:27,920 --> 00:08:31,760 Speaker 1: care for a big city like Shanghai. Wild time banking 123 00:08:31,840 --> 00:08:34,280 Speaker 1: never really took off with a strong arm of the 124 00:08:34,360 --> 00:08:37,640 Speaker 1: Chinese Communist Party behind it. China just maybe the country 125 00:08:37,679 --> 00:08:41,400 Speaker 1: where it does this is Charlie Drew for Bloomberg News 126 00:08:41,400 --> 00:08:58,480 Speaker 1: in Shanghai. M h, well, you heard there about the 127 00:08:58,559 --> 00:09:01,679 Speaker 1: Chinese government encouraging able to say for their retirement with 128 00:09:01,720 --> 00:09:05,000 Speaker 1: their time as well as their money. But in the US, 129 00:09:05,200 --> 00:09:08,600 Speaker 1: older Americans are being actively encouraged to run up debts 130 00:09:08,720 --> 00:09:12,240 Speaker 1: which could make their old age considerably worse. In the 131 00:09:12,280 --> 00:09:16,480 Speaker 1: last three years, student debt student debt among Americans over 132 00:09:16,520 --> 00:09:21,199 Speaker 1: sixty two rose by nearly eight In a minute, I'll 133 00:09:21,240 --> 00:09:24,720 Speaker 1: talk to Bloomberg Senior editor Alex Tanzi about what's driving 134 00:09:24,760 --> 00:09:27,080 Speaker 1: this problem. But first I wanted to play you this 135 00:09:27,160 --> 00:09:32,040 Speaker 1: introduction by Bloomberg Quicktake producer Madison Paglia. I should say 136 00:09:32,280 --> 00:09:35,640 Speaker 1: she's a video producer. Quick take producers videos. And if 137 00:09:35,640 --> 00:09:37,760 Speaker 1: you want to put faces to the voices you're about 138 00:09:37,800 --> 00:09:40,600 Speaker 1: to hear, you can go online and search for older 139 00:09:40,640 --> 00:09:45,640 Speaker 1: Americans frontline student debt crisis, or just embrace the magic 140 00:09:45,679 --> 00:09:51,079 Speaker 1: of radio and produce the pictures for yourself. What turned 141 00:09:51,080 --> 00:09:54,000 Speaker 1: out to be about thirty tho dollars student loan is 142 00:09:54,040 --> 00:09:59,640 Speaker 1: now seventy never I'll die before I'll never be able 143 00:09:59,679 --> 00:10:01,680 Speaker 1: to pay that off. It's kind of like a death 144 00:10:01,679 --> 00:10:03,840 Speaker 1: sentence from me. I'm in a life sentence, I should 145 00:10:03,880 --> 00:10:08,920 Speaker 1: say to pay those student debts. Student loan debt in 146 00:10:08,920 --> 00:10:12,440 Speaker 1: the US is now at one point seven trillion, and 147 00:10:12,480 --> 00:10:16,040 Speaker 1: it's growing fastest among older Americans. There are now about 148 00:10:16,120 --> 00:10:18,960 Speaker 1: eight point seven million Americans over the age of fifty 149 00:10:19,320 --> 00:10:22,080 Speaker 1: who are still paying off college loans and who have 150 00:10:22,200 --> 00:10:26,319 Speaker 1: seen their debts increase by about half since And this 151 00:10:26,360 --> 00:10:28,720 Speaker 1: is my son. He graduated in two thousand and eight 152 00:10:28,840 --> 00:10:32,760 Speaker 1: from Bridgewater College with a degree in biology. I didn't 153 00:10:32,760 --> 00:10:35,079 Speaker 1: want him to be stuck with having the debt that 154 00:10:35,160 --> 00:10:37,160 Speaker 1: a lot of kids have when they get out of college. 155 00:10:37,640 --> 00:10:40,800 Speaker 1: So I assumed that loan seventy seven year old Frank 156 00:10:40,880 --> 00:10:44,560 Speaker 1: Sizer Jr. Is a retired prison warden living in Atlanta, Georgia. 157 00:10:44,679 --> 00:10:46,640 Speaker 1: By the time he is ninety six years old, he 158 00:10:46,679 --> 00:10:50,079 Speaker 1: will finally be finished paying off his student loans. The 159 00:10:50,120 --> 00:10:53,000 Speaker 1: parent plus loan that I took out was through the 160 00:10:53,040 --> 00:10:58,000 Speaker 1: Department of Education, and of course they then transferred everything 161 00:10:58,000 --> 00:11:01,080 Speaker 1: over the navyant. But I think I started in two 162 00:11:01,120 --> 00:11:07,400 Speaker 1: thousand and four. I'm still paying it and according to Navy, 163 00:11:07,440 --> 00:11:13,960 Speaker 1: and I'll be done in two thousand and forty. My 164 00:11:14,160 --> 00:11:17,920 Speaker 1: former job was ahead of the Atlanta City Jail, and 165 00:11:18,000 --> 00:11:22,480 Speaker 1: before that, I was the warden of three different federal prisons, 166 00:11:22,600 --> 00:11:25,520 Speaker 1: and of course I ran the prison system in Maryland. 167 00:11:25,800 --> 00:11:28,479 Speaker 1: My main source of income, of course, is my retirement 168 00:11:28,640 --> 00:11:32,240 Speaker 1: income and of course social Security. I sort of assumed that, 169 00:11:32,600 --> 00:11:34,840 Speaker 1: like most loans, you pay it off in a reasonable 170 00:11:34,840 --> 00:11:37,160 Speaker 1: amount of time, and I expected that I would have 171 00:11:37,240 --> 00:11:41,240 Speaker 1: it paid off before I retired. But for a period 172 00:11:41,240 --> 00:11:43,160 Speaker 1: of time while he was in school, I was just 173 00:11:43,200 --> 00:11:46,240 Speaker 1: paying interest rate on the loan. Right now, a balance 174 00:11:46,280 --> 00:11:50,240 Speaker 1: of about fifty two dollars. God knows what the original 175 00:11:50,240 --> 00:11:55,880 Speaker 1: amount was interest rate compounding, and it just continued to grow. 176 00:11:56,600 --> 00:11:58,680 Speaker 1: It came as quite a shock to me to find 177 00:11:58,679 --> 00:12:03,120 Speaker 1: out that I'm going to be label with this, probably 178 00:12:03,960 --> 00:12:05,880 Speaker 1: for the rest of my life. As you get older 179 00:12:05,880 --> 00:12:08,199 Speaker 1: and you don't have the income that you did when 180 00:12:08,280 --> 00:12:11,959 Speaker 1: you were working, it has a big effect to take 181 00:12:11,960 --> 00:12:16,160 Speaker 1: about five dred a month from y'all retirement income to 182 00:12:16,240 --> 00:12:19,080 Speaker 1: pay a student loan. These are the type of buses 183 00:12:19,160 --> 00:12:22,480 Speaker 1: that we drove. Alma Pett used to be a school 184 00:12:22,480 --> 00:12:25,880 Speaker 1: bus driver in Stockton, California, but back to back traffic 185 00:12:25,920 --> 00:12:30,000 Speaker 1: accidents led to debilitating medical issues and ultimately put her 186 00:12:30,000 --> 00:12:34,200 Speaker 1: out of a job. My main objective after that was 187 00:12:34,280 --> 00:12:36,480 Speaker 1: to go back to school. I was in the middle 188 00:12:36,480 --> 00:12:40,280 Speaker 1: of a divorce and was a single parent. I took 189 00:12:40,280 --> 00:12:45,000 Speaker 1: out student loans too, not only to cover my books 190 00:12:45,080 --> 00:12:49,520 Speaker 1: and the classes, but to help assist in my daily bills. 191 00:12:49,760 --> 00:12:52,040 Speaker 1: Almost medical issues have caused her to be in and 192 00:12:52,040 --> 00:12:54,400 Speaker 1: out of work over the years, and she is currently 193 00:12:54,400 --> 00:12:58,240 Speaker 1: collecting state disability. At this age, I can't be the 194 00:12:58,320 --> 00:13:01,480 Speaker 1: same worker that I was before that. I just don't 195 00:13:01,520 --> 00:13:03,720 Speaker 1: see a way out. I've been trying to pay it. 196 00:13:04,000 --> 00:13:07,480 Speaker 1: I've had medical problems, lots of jobs, debts in the 197 00:13:07,559 --> 00:13:10,640 Speaker 1: family where I had to stop work, my husband got 198 00:13:10,720 --> 00:13:13,880 Speaker 1: laid off, and in between times I couldn't pay the payments, 199 00:13:13,880 --> 00:13:17,400 Speaker 1: so I had to ask for forbearance. The interests accrued. 200 00:13:17,640 --> 00:13:20,600 Speaker 1: Like big time borrowers who defer all loans can face 201 00:13:20,640 --> 00:13:24,160 Speaker 1: severe consequences such as capitalized interest, which can cause the 202 00:13:24,200 --> 00:13:27,960 Speaker 1: original loan balance to skyrocket. Alma didn't complete her b A, 203 00:13:28,280 --> 00:13:32,200 Speaker 1: but took enough units to earn a certificate. Today, Almah's 204 00:13:32,240 --> 00:13:35,360 Speaker 1: debt has more than doubled. She and her husband have 205 00:13:35,440 --> 00:13:44,480 Speaker 1: filed for bankruptcy. It's quite um disheartening, troubling, UH to 206 00:13:44,600 --> 00:13:49,000 Speaker 1: be in the situation like this. I just don't understand 207 00:13:49,240 --> 00:13:54,240 Speaker 1: why the government allows this to happen. For a thirty 208 00:13:54,280 --> 00:13:58,320 Speaker 1: tho dollar loan to become a seventy tho dollar loan. 209 00:13:58,480 --> 00:14:01,840 Speaker 1: I don't come from family with a lot of money, 210 00:14:01,920 --> 00:14:05,120 Speaker 1: and I wanted a further my life in to provide 211 00:14:05,120 --> 00:14:08,760 Speaker 1: from my family a better future. So I felt like 212 00:14:09,160 --> 00:14:11,160 Speaker 1: the need to have to do it. At the time, 213 00:14:12,120 --> 00:14:14,440 Speaker 1: I didn't. I didn't realize it was gonna get to 214 00:14:14,520 --> 00:14:18,360 Speaker 1: this monster that it's at now. Both Frank and Alma 215 00:14:18,600 --> 00:14:21,320 Speaker 1: are among the more than forty million federal student loan 216 00:14:21,360 --> 00:14:24,560 Speaker 1: holders were scheduled to begin making monthly payments again on 217 00:14:24,600 --> 00:14:29,640 Speaker 1: October one, once COVID nineteen debt relief measures expire. Right now, 218 00:14:29,680 --> 00:14:33,880 Speaker 1: obviously with COVID nineteen, it's not accruing anything, and I 219 00:14:33,920 --> 00:14:36,280 Speaker 1: don't have to pay right now, but it's soon going 220 00:14:36,360 --> 00:14:38,960 Speaker 1: to start again, and with me not working, I don't 221 00:14:38,960 --> 00:14:43,400 Speaker 1: know how that's gonna be feasible. And unfortunately this is 222 00:14:43,440 --> 00:14:46,320 Speaker 1: not covered by bankruptcy. I would like to thank that 223 00:14:46,440 --> 00:14:52,160 Speaker 1: loan forgiveness what happened. I'm very pessimistic that that will happen. 224 00:14:52,400 --> 00:14:54,160 Speaker 1: You know, if you can't do a way of student loans, 225 00:14:54,320 --> 00:14:56,640 Speaker 1: do away with the entrance on those student loans, because 226 00:14:56,680 --> 00:15:01,080 Speaker 1: that's what really runs that cost uff and burden people. 227 00:15:02,360 --> 00:15:05,920 Speaker 1: My hopes for this issue for myself is for me 228 00:15:06,040 --> 00:15:09,800 Speaker 1: to be debt free from it completely. I know President 229 00:15:09,840 --> 00:15:14,120 Speaker 1: Biden talked about releasing us from all debt, so if 230 00:15:14,160 --> 00:15:18,200 Speaker 1: he's not gonna give us the blessing of canceling this 231 00:15:18,360 --> 00:15:22,320 Speaker 1: student loan debt, I would hope and pray that at 232 00:15:22,400 --> 00:15:24,960 Speaker 1: least he changes the laws so that it could be 233 00:15:25,000 --> 00:15:30,120 Speaker 1: included into a bankruptcy. If education is important as everyone 234 00:15:30,760 --> 00:15:32,680 Speaker 1: make it out to be, in which I agree with, 235 00:15:33,160 --> 00:15:37,120 Speaker 1: that should be a better way. The wealthy not our issue. Well, 236 00:15:37,160 --> 00:15:41,440 Speaker 1: I think the average person don't have that luxury. Quite honestly, 237 00:15:41,440 --> 00:15:44,360 Speaker 1: I'd like for my son to go on and get 238 00:15:44,400 --> 00:15:47,640 Speaker 1: his master's, but on that's going to have to be 239 00:15:47,720 --> 00:15:56,120 Speaker 1: on his dime. I'm joined now by one of the 240 00:15:56,120 --> 00:15:59,240 Speaker 1: people who helped uncover this story for bloom Bag, senior 241 00:15:59,320 --> 00:16:01,720 Speaker 1: editor for the Real Economy team and one of our 242 00:16:01,760 --> 00:16:06,080 Speaker 1: best data journalists, Alex Tanzi. Alex, thanks for being on 243 00:16:06,120 --> 00:16:09,360 Speaker 1: Stephanomics U. I should start by asking you how you 244 00:16:09,400 --> 00:16:12,000 Speaker 1: came across this story. It wasn't something that I had 245 00:16:12,440 --> 00:16:15,800 Speaker 1: heard about, this idea of of really much older people 246 00:16:16,160 --> 00:16:20,000 Speaker 1: laden with student debt. So for a number of years now, 247 00:16:20,400 --> 00:16:24,040 Speaker 1: student that's becoming a more prominent problem in the US. 248 00:16:24,920 --> 00:16:28,520 Speaker 1: It's up to one point seven trillion, so we've really 249 00:16:28,560 --> 00:16:32,560 Speaker 1: in about that several times. And in the past years 250 00:16:32,600 --> 00:16:36,200 Speaker 1: before there was forbearents for the pandemic delinquencies on student 251 00:16:36,320 --> 00:16:39,640 Speaker 1: that was the highest of any consumer debt. So a 252 00:16:39,680 --> 00:16:41,480 Speaker 1: lot of people are going into a lot of debt. 253 00:16:41,880 --> 00:16:44,800 Speaker 1: The government wasn't getting any of this money back. So 254 00:16:44,840 --> 00:16:46,960 Speaker 1: it's been an issue we've been kind of focused on, 255 00:16:47,160 --> 00:16:51,280 Speaker 1: and lately we've taken a deeper look at how different 256 00:16:51,320 --> 00:16:55,960 Speaker 1: parts of the population have different types of debt and 257 00:16:56,200 --> 00:16:59,800 Speaker 1: the loan program for parents wanting to help their kids 258 00:17:00,120 --> 00:17:04,560 Speaker 1: with the student debt um that seems to be causing 259 00:17:05,000 --> 00:17:07,679 Speaker 1: particular issues. So what are the problems there? Why are 260 00:17:07,680 --> 00:17:11,000 Speaker 1: people running into difficulties. One of the issue there is 261 00:17:11,200 --> 00:17:15,000 Speaker 1: that type of debt. That portion of student loans is 262 00:17:15,119 --> 00:17:18,920 Speaker 1: rising much more rapidly than any other portion. So a 263 00:17:19,000 --> 00:17:21,440 Speaker 1: lot of parents are trying to do the best thing 264 00:17:21,480 --> 00:17:24,800 Speaker 1: for their kid and incurring a lot of debt to 265 00:17:24,880 --> 00:17:27,679 Speaker 1: send them to college. And the debt is not cheap. 266 00:17:28,000 --> 00:17:30,080 Speaker 1: It comes with a four percent more than a four 267 00:17:30,119 --> 00:17:33,560 Speaker 1: percent origination fee, So right off the top, you're paying 268 00:17:33,720 --> 00:17:36,920 Speaker 1: four percent more than everyone else. And the interest rates 269 00:17:36,960 --> 00:17:42,240 Speaker 1: are over seven that's extraordinary. There's a huge gap between 270 00:17:42,440 --> 00:17:45,600 Speaker 1: the student loan interest rate and say the tenure. The 271 00:17:45,680 --> 00:17:49,639 Speaker 1: US tenure it wu the last dozen years, it's average 272 00:17:49,680 --> 00:17:53,560 Speaker 1: more than four d basis points. Well, that's four percentage 273 00:17:53,560 --> 00:17:57,359 Speaker 1: points more expensive. And what is I mean? I think 274 00:17:57,400 --> 00:18:01,320 Speaker 1: we obviously have seen in as Over the last few 275 00:18:01,400 --> 00:18:03,760 Speaker 1: years in the US, it's been a very prominent feature 276 00:18:03,800 --> 00:18:05,960 Speaker 1: student debt, not so much the parent debt, but the 277 00:18:06,119 --> 00:18:09,840 Speaker 1: certainly student debt. And there's lots of proposals for helping 278 00:18:09,920 --> 00:18:13,200 Speaker 1: people with it, but what's the politics of of helping 279 00:18:13,200 --> 00:18:16,040 Speaker 1: older people with this kind of debt. So in the 280 00:18:16,119 --> 00:18:19,600 Speaker 1: last election, for the first time it became a campaign issue. 281 00:18:20,440 --> 00:18:24,800 Speaker 1: UM it rose to that level of prominence overall student 282 00:18:24,920 --> 00:18:29,240 Speaker 1: that not necessarily the parent portion, but it became, you know, 283 00:18:29,400 --> 00:18:32,840 Speaker 1: campaign issues, So a lot of different politicians were running 284 00:18:32,880 --> 00:18:38,520 Speaker 1: on UM forgiving everything. Biden's kind of been opposed to that. 285 00:18:38,680 --> 00:18:42,560 Speaker 1: So far, he hasn't really staked his ground, but he 286 00:18:42,720 --> 00:18:47,080 Speaker 1: said he was willing to do a smaller portion of forgiveness. 287 00:18:47,880 --> 00:18:50,359 Speaker 1: But for parents in particular. You have a lot of 288 00:18:50,400 --> 00:18:53,639 Speaker 1: people now at the age when they should be saving 289 00:18:53,640 --> 00:18:56,159 Speaker 1: for retirement, at the age when they are retired, and 290 00:18:56,200 --> 00:18:59,600 Speaker 1: there's still paying student lens. So you have some people 291 00:18:59,640 --> 00:19:04,359 Speaker 1: collect in Social Security retirement income and paying student loans, 292 00:19:04,440 --> 00:19:08,919 Speaker 1: which UM is not a good scenario, and it's not 293 00:19:09,000 --> 00:19:11,760 Speaker 1: a it's not a straight Democrat Republican split, is it. 294 00:19:12,320 --> 00:19:15,920 Speaker 1: People feel differently on different sides of the are now 295 00:19:16,480 --> 00:19:19,159 Speaker 1: you know, everything is political these days in Washington. But 296 00:19:19,840 --> 00:19:23,720 Speaker 1: under Trump, the fellow appointed to be in charge of 297 00:19:23,840 --> 00:19:27,160 Speaker 1: student loans, he resigned and he said the whole system 298 00:19:27,240 --> 00:19:33,879 Speaker 1: can't be fixed, and he recommended a universal, um, a 299 00:19:34,040 --> 00:19:37,520 Speaker 1: universal for parents. Um, you know, have the government pay 300 00:19:37,520 --> 00:19:40,919 Speaker 1: off all these debts. He simply said, the system is 301 00:19:41,000 --> 00:19:44,800 Speaker 1: broken and there's no good solution to fix it, and 302 00:19:44,840 --> 00:19:48,160 Speaker 1: the country as a whole is better off just starting 303 00:19:48,200 --> 00:19:50,720 Speaker 1: from scratch. And it was interesting because I think that 304 00:19:50,760 --> 00:19:54,960 Speaker 1: guy he actually and he blamed the schools for the 305 00:19:55,320 --> 00:20:00,359 Speaker 1: universities for putting students in this in this problem. There's 306 00:20:00,400 --> 00:20:06,240 Speaker 1: a massive misalignment and incentives, so parents and students can 307 00:20:06,240 --> 00:20:10,040 Speaker 1: take out this money very easily. There's no background check 308 00:20:10,080 --> 00:20:13,400 Speaker 1: of any type. Um, it's much more difficult to get 309 00:20:13,400 --> 00:20:16,879 Speaker 1: a five thousand dollar small business loan than say a 310 00:20:16,920 --> 00:20:20,959 Speaker 1: fifty dollar loan to go to college. At the same time, 311 00:20:21,119 --> 00:20:23,840 Speaker 1: schools have no incentive, they have no skin in the game, 312 00:20:24,440 --> 00:20:27,680 Speaker 1: so they have no incentive to keep costs down, and 313 00:20:27,840 --> 00:20:30,879 Speaker 1: you know, they're happy to have more and more kids 314 00:20:30,920 --> 00:20:34,720 Speaker 1: paying a lot of fees. The government, you know, gives 315 00:20:34,720 --> 00:20:38,760 Speaker 1: this money out pretty easily, probably a lot easier than 316 00:20:38,800 --> 00:20:43,520 Speaker 1: they should, Um, there's no type of distinction on the 317 00:20:43,560 --> 00:20:47,040 Speaker 1: type of college you're going to, the type of major 318 00:20:47,160 --> 00:20:50,879 Speaker 1: you're studying. Everyone's paying the same rate, and they do 319 00:20:51,000 --> 00:20:54,399 Speaker 1: that for you know, particular reasons. But at the same time, 320 00:20:55,000 --> 00:20:57,840 Speaker 1: if there was a different incentive, and you know, if 321 00:20:57,880 --> 00:20:59,840 Speaker 1: you're going to a very good school, your grades are 322 00:21:00,000 --> 00:21:03,720 Speaker 1: it and you're studying, say a field that's in high demand, 323 00:21:04,400 --> 00:21:06,800 Speaker 1: you know, and on the in the private market, you 324 00:21:06,800 --> 00:21:10,639 Speaker 1: would probably pay less and interest Um, you know, with 325 00:21:10,680 --> 00:21:13,320 Speaker 1: the government running things, everyone is paying the same and 326 00:21:13,359 --> 00:21:18,400 Speaker 1: it's creating a misalignment of incentives. And I guess one, 327 00:21:18,480 --> 00:21:20,280 Speaker 1: I mean, one reason why it's probably easy to get 328 00:21:20,359 --> 00:21:22,439 Speaker 1: is it's much much harder to write off. I mean, 329 00:21:22,480 --> 00:21:25,840 Speaker 1: if you that the normal bankruptcy rules don't let you 330 00:21:25,920 --> 00:21:27,480 Speaker 1: write it off the way you would be able to 331 00:21:27,480 --> 00:21:30,400 Speaker 1: write off other kinds of consumer debt or indeed, mortgage 332 00:21:30,400 --> 00:21:32,400 Speaker 1: debt that you could just walk away from. In the US, 333 00:21:32,440 --> 00:21:36,360 Speaker 1: it's extremely difficult to get it written off. Lately, there 334 00:21:36,359 --> 00:21:40,560 Speaker 1: have been some, you know, very few cases where people 335 00:21:40,640 --> 00:21:44,679 Speaker 1: have been able to get the debt reduced, but for 336 00:21:44,720 --> 00:21:47,560 Speaker 1: the most part, you know, you're stuck with it, and 337 00:21:48,280 --> 00:21:50,800 Speaker 1: you know, people are stuck with it so last year 338 00:21:51,040 --> 00:21:53,760 Speaker 1: that the Partmit of Education was able to claw back 339 00:21:53,960 --> 00:21:59,000 Speaker 1: five billion dollars from people's social security incomes or tax 340 00:21:59,080 --> 00:22:03,920 Speaker 1: refunds or other parts of um, you know, government income 341 00:22:04,920 --> 00:22:07,919 Speaker 1: when someone wasn't paying their student learned that that's an 342 00:22:07,920 --> 00:22:11,199 Speaker 1: incredible figure. I mean, I guess that the human, the 343 00:22:11,320 --> 00:22:13,800 Speaker 1: human aspect of this is and I remember learning this 344 00:22:13,920 --> 00:22:17,159 Speaker 1: many years ago, that some of the different repayment rates 345 00:22:17,840 --> 00:22:20,520 Speaker 1: relate to how people feel about the debt and if 346 00:22:20,560 --> 00:22:24,200 Speaker 1: you people will try very hard to hold onto their 347 00:22:24,200 --> 00:22:26,760 Speaker 1: homes and to carry on paying their mortgages. If you 348 00:22:26,880 --> 00:22:28,800 Speaker 1: took it, if you did a degree and actually it 349 00:22:28,800 --> 00:22:30,480 Speaker 1: didn't help you much and you didn't get a great 350 00:22:30,520 --> 00:22:32,360 Speaker 1: job out of it, you don't have the same kind 351 00:22:32,359 --> 00:22:36,520 Speaker 1: of association. You don't feel the same kind of determination 352 00:22:36,760 --> 00:22:39,280 Speaker 1: of pride in in paying it back if it hasn't 353 00:22:39,280 --> 00:22:41,600 Speaker 1: worked out so well. So it's I think there's an 354 00:22:41,600 --> 00:22:44,840 Speaker 1: element of of psychology around this. But in the UK 355 00:22:45,000 --> 00:22:48,800 Speaker 1: you can write it's written off after thirty years student debt. 356 00:22:48,920 --> 00:22:51,399 Speaker 1: I wonder whether do you think that might make sense 357 00:22:51,400 --> 00:22:54,000 Speaker 1: in the US too. I think it would definitely makes sense, 358 00:22:54,160 --> 00:22:58,240 Speaker 1: especially for older people or people that become disabled. One 359 00:22:58,400 --> 00:23:02,000 Speaker 1: issue is people's incomes and their lives are not always 360 00:23:02,040 --> 00:23:05,760 Speaker 1: a straight line. People get divorced, people have health problems, 361 00:23:05,840 --> 00:23:09,840 Speaker 1: people have a death in the family, so their incomes fluctuate. 362 00:23:09,960 --> 00:23:13,560 Speaker 1: They lose their jobs, so it's difficult to always pay 363 00:23:13,600 --> 00:23:17,359 Speaker 1: the same amount every month with student debt, and for 364 00:23:17,440 --> 00:23:20,959 Speaker 1: some people they are more than two hundred thousand dollars, 365 00:23:20,960 --> 00:23:23,879 Speaker 1: so it can be quite a significant amount every month 366 00:23:23,960 --> 00:23:27,399 Speaker 1: that has to go out. There's also the St. Louis 367 00:23:27,480 --> 00:23:32,920 Speaker 1: FED has done some studies on the outcomes for college graduates, 368 00:23:33,040 --> 00:23:36,440 Speaker 1: and for many that don't necessarily go to the best 369 00:23:36,480 --> 00:23:40,239 Speaker 1: school and don't necessarily have the best grades, there's not 370 00:23:40,359 --> 00:23:43,200 Speaker 1: much benefit to go to college. It's not much better 371 00:23:43,240 --> 00:23:48,040 Speaker 1: than a high school degree. So there is um. There is, 372 00:23:48,119 --> 00:23:51,159 Speaker 1: Like you're saying, there's a lot of problems with people 373 00:23:51,240 --> 00:23:55,040 Speaker 1: feeling good about getting this that if they can't find 374 00:23:55,080 --> 00:23:57,639 Speaker 1: a job that helps them pay for it, there's a 375 00:23:57,640 --> 00:24:01,320 Speaker 1: massive investment. Is not very high. Turn well, Alex Tansy, 376 00:24:01,359 --> 00:24:03,760 Speaker 1: thank you so much for talking us through it. Thank you, 377 00:24:03,840 --> 00:24:14,919 Speaker 1: thank you very much. In case you hadn't noticed, inflation 378 00:24:15,200 --> 00:24:18,000 Speaker 1: is back. The headline rate of inflation in the US 379 00:24:18,200 --> 00:24:20,960 Speaker 1: hit five percent last month. That's the highest since two 380 00:24:21,000 --> 00:24:24,240 Speaker 1: thousand and eight. We've talked before on this podcast about 381 00:24:24,320 --> 00:24:27,880 Speaker 1: rising commodity prices and the record cost of shipping. Now 382 00:24:27,920 --> 00:24:32,399 Speaker 1: it's diapers on nappiece and restaurant meals. Diaper banks have 383 00:24:32,440 --> 00:24:35,040 Speaker 1: seen a jump in demand in many US states as 384 00:24:35,119 --> 00:24:38,280 Speaker 1: low income families deal with the consequences of price hikes 385 00:24:38,280 --> 00:24:41,159 Speaker 1: by the two companies which dominate the U S diaper market, 386 00:24:41,240 --> 00:24:44,639 Speaker 1: PNG and Kimberly Clark. And now you can finally go 387 00:24:44,720 --> 00:24:47,600 Speaker 1: to your local restaurant, you're probably finding that prices have 388 00:24:47,680 --> 00:24:51,000 Speaker 1: gone up there as well. US Economy reporter Olivia Rockman 389 00:24:51,200 --> 00:24:54,080 Speaker 1: has more on that last story. Olivia, tell me why 390 00:24:54,160 --> 00:24:57,880 Speaker 1: restaurant chains are feeling the strain and needing to hike prices. 391 00:24:58,320 --> 00:25:01,520 Speaker 1: And one side, they're getting a lot of pressure from commodities, 392 00:25:01,560 --> 00:25:05,199 Speaker 1: so that could be chicken, beef, even shipping costs for 393 00:25:05,280 --> 00:25:09,080 Speaker 1: their products. Chicken, for example, is at a decades high 394 00:25:09,119 --> 00:25:12,280 Speaker 1: in terms of price increases. And on the other hand, 395 00:25:12,320 --> 00:25:15,000 Speaker 1: they're being hit with with wage increases that they're having 396 00:25:15,000 --> 00:25:18,159 Speaker 1: to take in order to attract workers. Because in the 397 00:25:18,240 --> 00:25:21,840 Speaker 1: US we've had a lot of generous unemployment benefits, which 398 00:25:21,920 --> 00:25:24,480 Speaker 1: is not motivating many people to return to the workforce, 399 00:25:25,040 --> 00:25:27,400 Speaker 1: and so it's really on every end of their cost 400 00:25:27,480 --> 00:25:30,159 Speaker 1: cycle that they're facing these pressures and then in turn 401 00:25:30,400 --> 00:25:33,520 Speaker 1: having to raise prices. Yeah, and I think it's always 402 00:25:33,680 --> 00:25:36,360 Speaker 1: worth remembering when people talk about the fear of inflation. 403 00:25:36,400 --> 00:25:38,200 Speaker 1: I mean, there's lots of things to worry about inflation, 404 00:25:38,240 --> 00:25:41,320 Speaker 1: and often it does affect poor people the most because 405 00:25:41,720 --> 00:25:46,359 Speaker 1: they haven't necessarily got wage increases rising in line with inflation. 406 00:25:46,680 --> 00:25:48,399 Speaker 1: But on the other hand, you know, some of this 407 00:25:48,480 --> 00:25:52,000 Speaker 1: inflation is about increasing people's incomes, people getting paid more 408 00:25:52,640 --> 00:25:56,000 Speaker 1: um to work in restaurants and other places. And what 409 00:25:56,440 --> 00:25:59,440 Speaker 1: companies are we seeing increased prices and what what kind 410 00:25:59,440 --> 00:26:02,919 Speaker 1: of peace we've seen. The first big company that we 411 00:26:02,960 --> 00:26:06,520 Speaker 1: saw do this was Chippotle, Mexican restaurant chain here in 412 00:26:06,560 --> 00:26:09,399 Speaker 1: the US, and they had taken a wage increase a 413 00:26:09,400 --> 00:26:12,480 Speaker 1: couple of months ago and then shortly after announced that 414 00:26:12,480 --> 00:26:15,520 Speaker 1: they were raising their prices about four percent. We saw 415 00:26:15,560 --> 00:26:19,520 Speaker 1: the same with Cracker Barrel and other restaurant chain. McDonald's 416 00:26:19,520 --> 00:26:23,119 Speaker 1: has talked about needing to take price increases soon because 417 00:26:23,160 --> 00:26:26,240 Speaker 1: of wage increases, and we're hearing it from small businesses too. 418 00:26:28,119 --> 00:26:30,320 Speaker 1: And they do come up with a few sneaky ways 419 00:26:30,359 --> 00:26:33,320 Speaker 1: of hiding this from us. You don't you don't necessarily 420 00:26:33,359 --> 00:26:36,240 Speaker 1: know that the price has gone up. Yes, so companies 421 00:26:36,560 --> 00:26:39,400 Speaker 1: in their earnings cause will say they're looking at their 422 00:26:39,400 --> 00:26:43,080 Speaker 1: pricing strategy, or they're going to take pricing, or they're 423 00:26:43,119 --> 00:26:47,480 Speaker 1: looking at their price calculation, and they won't overtly say 424 00:26:47,520 --> 00:26:50,119 Speaker 1: that they're increasing prices. And so it is sort of 425 00:26:50,119 --> 00:26:53,359 Speaker 1: a game that they're playing between their investors and their customers. 426 00:26:54,119 --> 00:26:55,879 Speaker 1: But if you're a customer, you're gonna notice. I mean 427 00:26:56,000 --> 00:26:59,320 Speaker 1: they also trying to shrink the pulsian sizes or do 428 00:26:59,400 --> 00:27:02,720 Speaker 1: something I know that often happens with consumer products. You 429 00:27:02,760 --> 00:27:06,000 Speaker 1: find that your favorite chocolate bar is actually more than 430 00:27:06,040 --> 00:27:08,000 Speaker 1: it was a few years ago. Yeah, we heard from 431 00:27:08,080 --> 00:27:11,359 Speaker 1: Wingstop at Chicken Company that they're starting to use every 432 00:27:11,400 --> 00:27:13,760 Speaker 1: part of the chicken to make their products rather than 433 00:27:13,880 --> 00:27:15,880 Speaker 1: just the legs are just the breast that they used 434 00:27:15,880 --> 00:27:19,360 Speaker 1: to use. So there are some creative cost manipulations going 435 00:27:19,359 --> 00:27:21,840 Speaker 1: on as well. I'm surprised that they wanted to publicize that. 436 00:27:21,960 --> 00:27:23,880 Speaker 1: It doesn't make me want to jump in, but maybe 437 00:27:23,880 --> 00:27:27,080 Speaker 1: that's it's good. It's good environmental grounds. You should use 438 00:27:27,480 --> 00:27:38,800 Speaker 1: every last drop. Thanks very much, Olivia. That's it for 439 00:27:38,840 --> 00:27:41,800 Speaker 1: Stephonomics this week. I'll be back next week with a 440 00:27:41,840 --> 00:27:45,040 Speaker 1: special episode on the future of the global economy, featuring 441 00:27:45,119 --> 00:27:48,800 Speaker 1: a discussion with former US Treasury Secretary Larry Summers and 442 00:27:48,880 --> 00:27:52,200 Speaker 1: big name investor Ray Dalio. So tune in for that 443 00:27:52,480 --> 00:27:55,600 Speaker 1: and follow as Economics on Twitter to hear more economic 444 00:27:55,600 --> 00:27:59,160 Speaker 1: news and analysis from Bloomberg. This episode was produced by 445 00:27:59,240 --> 00:28:02,600 Speaker 1: Magnus Hendrick Soon. The report from China was written and 446 00:28:02,640 --> 00:28:07,080 Speaker 1: reported by Charlie jou, Lyn Ju and Daniel Away, with 447 00:28:07,119 --> 00:28:11,680 Speaker 1: special thanks to tong Jiang Dong, Doug Huang, Madison Baglia, 448 00:28:11,920 --> 00:28:16,280 Speaker 1: Alex Tanzi, and Olivia Rockman. Mike Sasso is the executive 449 00:28:16,280 --> 00:28:19,639 Speaker 1: producer of Stephanomics and the head of Bloomberg Podcast is 450 00:28:19,640 --> 00:28:20,480 Speaker 1: Francesco Lea.