1 00:00:00,400 --> 00:00:03,559 Speaker 1: It just doesn't. You don't seem real, ye know, because 2 00:00:03,600 --> 00:00:09,240 Speaker 1: you just imagined anything happening like that. And to that extent, 3 00:00:10,880 --> 00:00:13,440 Speaker 1: you know, you're a color breaks down or you know, 4 00:00:13,480 --> 00:00:16,480 Speaker 1: an extra buil pops up. Things always happened in day 5 00:00:16,480 --> 00:00:19,120 Speaker 1: to day life. You know, are you thinking, how good 6 00:00:19,160 --> 00:00:29,360 Speaker 1: that's y? But this was everything all at once. Hello 7 00:00:29,440 --> 00:00:32,120 Speaker 1: and welcome to Stephanomics, the podcast that brings the global 8 00:00:32,159 --> 00:00:35,200 Speaker 1: economy to you. This week, a tale of two continents 9 00:00:35,320 --> 00:00:39,560 Speaker 1: and one job's earthquake called COVID nineteen. When a government 10 00:00:39,600 --> 00:00:42,400 Speaker 1: shuts down the economy to fight a pandemic, there's a 11 00:00:42,400 --> 00:00:45,800 Speaker 1: special duty to help all those people who suddenly can't 12 00:00:45,800 --> 00:00:48,800 Speaker 1: do their jobs. That was something politicians on both sides 13 00:00:48,840 --> 00:00:51,599 Speaker 1: of the Atlantic could agree on. When economy started going 14 00:00:51,640 --> 00:00:56,240 Speaker 1: into lockdown in in Europe and the US, hundreds of 15 00:00:56,280 --> 00:00:59,639 Speaker 1: billions of dollars was spent in emergency support for workers 16 00:00:59,760 --> 00:01:03,080 Speaker 1: who suddenly had nothing to do. But in the US 17 00:01:03,120 --> 00:01:07,160 Speaker 1: the money went largely on supporting incomes. In Europe it 18 00:01:07,280 --> 00:01:11,319 Speaker 1: was used to support jobs. The programs did a lot 19 00:01:11,360 --> 00:01:15,120 Speaker 1: of good in both places, but which will turn out 20 00:01:15,120 --> 00:01:17,319 Speaker 1: to have been better for the economy in the end. 21 00:01:18,160 --> 00:01:21,240 Speaker 1: I'm going to debate that crucial question in a few 22 00:01:21,240 --> 00:01:24,000 Speaker 1: minutes with the head of the Peterson Institute for International 23 00:01:24,000 --> 00:01:27,520 Speaker 1: Economics Adam posing. But first to help you come to 24 00:01:27,520 --> 00:01:30,319 Speaker 1: your own view on that, we've got two reports from 25 00:01:30,360 --> 00:01:34,000 Speaker 1: the US and Europe. The first is from Bloomberg U 26 00:01:34,080 --> 00:01:37,360 Speaker 1: S economy reporter read pick it, and straight after her 27 00:01:37,800 --> 00:01:41,880 Speaker 1: you'll hear from Caroline Look, a European economy reporter based 28 00:01:41,920 --> 00:01:50,720 Speaker 1: in Frankfurt. When millions of Americans last their jobs in 29 00:01:50,760 --> 00:01:53,960 Speaker 1: a matter of weeks in the spring of the flaws 30 00:01:53,960 --> 00:01:58,320 Speaker 1: in America's unemployment insurance system were suddenly a lot more visible. 31 00:01:58,880 --> 00:02:01,520 Speaker 1: It's not really a central life system, but rather a 32 00:02:01,600 --> 00:02:05,000 Speaker 1: patchwork of state run programs. How much you get and 33 00:02:05,040 --> 00:02:07,800 Speaker 1: how long the benefits last depend on where you live. 34 00:02:08,360 --> 00:02:12,440 Speaker 1: For example, before COVID, an unemployed person in Mississippi would 35 00:02:12,480 --> 00:02:15,160 Speaker 1: have received around two hundred and fifteen dollars a week 36 00:02:15,200 --> 00:02:19,079 Speaker 1: in jobless benefits on average. In Massachusetts, the figure was 37 00:02:19,160 --> 00:02:22,120 Speaker 1: closer to five hundred and fifty dollars, and those state 38 00:02:22,160 --> 00:02:25,720 Speaker 1: programs don't cover everyone. If you're self employed, were a 39 00:02:25,720 --> 00:02:30,120 Speaker 1: gig worker, you typically get nothing. Going into the pandemic, 40 00:02:30,800 --> 00:02:37,240 Speaker 1: the unemployment system had become narrower and less effective over time. 41 00:02:38,280 --> 00:02:41,359 Speaker 1: You know, as we entered the pandemic, only one out 42 00:02:41,360 --> 00:02:46,399 Speaker 1: of four workers who were jobless in February of two 43 00:02:46,440 --> 00:02:51,200 Speaker 1: thousand twenty were receiving an unemployment check. That's Andrew Stettner, 44 00:02:51,360 --> 00:02:54,320 Speaker 1: a senior fellow at the Century Foundation in Washington, d C. 45 00:02:55,160 --> 00:02:58,919 Speaker 1: He's been setting the unemployment insurance program for years. When 46 00:02:58,960 --> 00:03:01,880 Speaker 1: COVID nineteen hit, he knew the system wouldn't be ready 47 00:03:01,919 --> 00:03:05,040 Speaker 1: for the scale of job losses. So Congress stepped in 48 00:03:05,400 --> 00:03:08,640 Speaker 1: with a two trillion dollar package that not only expanded 49 00:03:08,639 --> 00:03:12,000 Speaker 1: the benefits to self employed in gig workers, but also 50 00:03:12,040 --> 00:03:14,400 Speaker 1: to people who couldn't work because their kids school was 51 00:03:14,440 --> 00:03:18,480 Speaker 1: closed or they themselves had COVID. And actually, we've been 52 00:03:19,680 --> 00:03:22,359 Speaker 1: largely praised. We have to get money out of the people. 53 00:03:22,680 --> 00:03:25,520 Speaker 1: It was China's fault. They did this horrific thing. It 54 00:03:25,600 --> 00:03:27,919 Speaker 1: was China's fault. We have to get money out of 55 00:03:28,000 --> 00:03:31,520 Speaker 1: the people. So the Cares Act also lengthened the duration 56 00:03:31,560 --> 00:03:35,040 Speaker 1: of benefits and increased payments by six dollars a week 57 00:03:35,560 --> 00:03:39,800 Speaker 1: to help make folks whole after COVID shut down the economy. 58 00:03:43,120 --> 00:03:46,400 Speaker 1: It sounded great, but the rollout of the program was 59 00:03:46,440 --> 00:03:51,080 Speaker 1: a nightmare. Many including Terry Ashman and her husband, waited 60 00:03:51,120 --> 00:03:56,240 Speaker 1: weeks even months for help, were playing for unemployment at 61 00:03:56,480 --> 00:03:59,720 Speaker 1: months and in the meantime, and we got our money 62 00:03:59,800 --> 00:04:03,880 Speaker 1: when all men just through all of it, we had 63 00:04:03,920 --> 00:04:07,360 Speaker 1: to start over. The Ashmans were working as independent contractors 64 00:04:07,400 --> 00:04:10,920 Speaker 1: when the pandemic first hit, doing remodeling and painting jobs 65 00:04:10,920 --> 00:04:14,560 Speaker 1: around Dayton, Ohio. They were evicted from their home after 66 00:04:14,560 --> 00:04:18,320 Speaker 1: the bills began stacking up, relying on food banks for meals. 67 00:04:19,120 --> 00:04:23,640 Speaker 1: Even after they finally started receiving benefits, complications kept popping 68 00:04:23,720 --> 00:04:27,560 Speaker 1: up that halted their weekly payments, like being mistakenly flagged 69 00:04:27,560 --> 00:04:31,640 Speaker 1: for fraud. There was nothing but tears and prayers all 70 00:04:31,640 --> 00:04:36,680 Speaker 1: the way through. State workforce agencies were understaffed, relying on 71 00:04:36,720 --> 00:04:40,600 Speaker 1: outdated computer systems, and overwhelmed by the tens of millions 72 00:04:40,600 --> 00:04:43,839 Speaker 1: of applications that were pouring in. Phone lines were jammed. 73 00:04:44,279 --> 00:04:48,320 Speaker 1: While many people quickly started receiving payments, others waited months 74 00:04:48,320 --> 00:04:53,520 Speaker 1: for a payment. Some are still waiting. But for all 75 00:04:53,520 --> 00:04:56,960 Speaker 1: the problems, the emergency payments did a lot to support 76 00:04:57,000 --> 00:05:00,400 Speaker 1: out of work Americans. Not a bad result for program 77 00:05:00,440 --> 00:05:03,880 Speaker 1: built on the fly. We when we look at poverty 78 00:05:04,160 --> 00:05:08,200 Speaker 1: in two thousand twenty compared to US nineteen. Despite the fact, 79 00:05:08,760 --> 00:05:12,359 Speaker 1: you know that some twenty million plus Americans lost their jobs, 80 00:05:12,880 --> 00:05:16,720 Speaker 1: poverty and fact went down from two thousand nineteen two 81 00:05:16,760 --> 00:05:19,880 Speaker 1: thousand twenty. You know that is more of it. And 82 00:05:20,120 --> 00:05:22,440 Speaker 1: you know the biggest group of that five and a 83 00:05:22,440 --> 00:05:25,320 Speaker 1: half million people for people that are prevented from falling 84 00:05:25,320 --> 00:05:28,880 Speaker 1: into poverty because of unemployment benefits. So you have to 85 00:05:28,880 --> 00:05:34,000 Speaker 1: say it was effective. People were able to maintain their 86 00:05:34,040 --> 00:05:38,480 Speaker 1: financial footing and the economy was able to continue growing 87 00:05:39,320 --> 00:05:44,120 Speaker 1: after a very short recession um in the spring up 88 00:05:44,120 --> 00:05:47,479 Speaker 1: two thousand twenty. The government did also try something that 89 00:05:47,560 --> 00:05:51,080 Speaker 1: supported workers in their existing jobs, like the European furlough 90 00:05:51,120 --> 00:05:55,799 Speaker 1: programs the Paycheck Protection Program, but the program was fraught 91 00:05:55,839 --> 00:05:59,840 Speaker 1: with difficulties and it's unclear how many jobs it ultimately saved. 92 00:06:04,080 --> 00:06:06,880 Speaker 1: The US has since recovered about three fourths of the 93 00:06:06,960 --> 00:06:10,120 Speaker 1: jobs lost at the start of the pandemic, despite severing 94 00:06:10,160 --> 00:06:13,800 Speaker 1: the connection between millions of workers and their employers. But 95 00:06:13,920 --> 00:06:17,359 Speaker 1: higher turnover and a near record number of vacancies tells 96 00:06:17,440 --> 00:06:20,960 Speaker 1: us that matching people to jobs has been a bumpy process. 97 00:06:22,000 --> 00:06:24,400 Speaker 1: The big question for the future is whether the COVID 98 00:06:24,440 --> 00:06:27,039 Speaker 1: experience will help the US build a safety net that 99 00:06:27,080 --> 00:06:30,920 Speaker 1: works better for all its workers. Here's Andrew Santner again 100 00:06:31,240 --> 00:06:34,880 Speaker 1: and Terry Ashman. The pattern that we seem to be 101 00:06:34,960 --> 00:06:41,960 Speaker 1: in US for sessions is temporary expansions of of unemployment 102 00:06:42,000 --> 00:06:45,800 Speaker 1: benefits paid for by the federal government. That and so 103 00:06:45,880 --> 00:06:50,839 Speaker 1: it's uh repeated band aid on the wound. You know. 104 00:06:50,960 --> 00:06:52,919 Speaker 1: The you know, the wound is that we have a 105 00:06:53,040 --> 00:06:59,040 Speaker 1: pretty red bear safety net bestly compared to internationally, so 106 00:06:59,240 --> 00:07:01,680 Speaker 1: we don't really exit. We just keep throwing a band aid, 107 00:07:01,839 --> 00:07:04,240 Speaker 1: you know, on it every time. It just doesn't you 108 00:07:04,279 --> 00:07:08,440 Speaker 1: don't seem real, you know, because you just never imagine 109 00:07:09,040 --> 00:07:14,400 Speaker 1: anything happening like that. And to that extent, you know, 110 00:07:14,560 --> 00:07:17,200 Speaker 1: you're a car brings down or you know, an extra 111 00:07:17,240 --> 00:07:20,360 Speaker 1: bill pops up. Things always happened in day to day live. 112 00:07:21,240 --> 00:07:23,560 Speaker 1: You know, are you thing goun to find me? But 113 00:07:23,680 --> 00:07:29,600 Speaker 1: this was everything all that want God and prand to God. 114 00:07:29,720 --> 00:07:34,200 Speaker 1: Nobody ever wrestling that again for Bloomberg News, I'm read pickered. 115 00:07:43,640 --> 00:07:47,560 Speaker 1: Remember as economies around the world pull the shutters down, 116 00:07:48,320 --> 00:07:53,480 Speaker 1: forecasters were predicting unemployment to reach twelve percent. Millions of 117 00:07:53,560 --> 00:07:57,240 Speaker 1: people were on the precipice of losing their jobs, their livelihoods, 118 00:07:57,240 --> 00:07:59,640 Speaker 1: their home. That's where she's soon next. Speaking last week 119 00:07:59,680 --> 00:08:02,960 Speaker 1: at Parties annual get together in England, here's the UK's 120 00:08:03,000 --> 00:08:06,600 Speaker 1: finance minister, the Chancellor of the Exchequer. It was under 121 00:08:06,680 --> 00:08:09,560 Speaker 1: his watch that Britain embarked on its biggest jobs experiment 122 00:08:09,600 --> 00:08:13,440 Speaker 1: in decades, guaranteeing the salaries of millions of workers so 123 00:08:13,520 --> 00:08:16,160 Speaker 1: they could stay home during the pandemic but still keep 124 00:08:16,200 --> 00:08:20,720 Speaker 1: their jobs. Much of Europe took a similar approach. At 125 00:08:20,720 --> 00:08:23,840 Speaker 1: the height of the pandemic, roughly one in four workers 126 00:08:23,880 --> 00:08:27,640 Speaker 1: in the UK, Germany, France, Italy and Spain we're having 127 00:08:27,760 --> 00:08:30,320 Speaker 1: all or most of their salaries paid by the state. 128 00:08:31,120 --> 00:08:36,200 Speaker 1: The main council Katy and Europian approach to this labor 129 00:08:36,320 --> 00:08:40,559 Speaker 1: market shook of the pandemic was that it would delay 130 00:08:40,720 --> 00:08:44,400 Speaker 1: some necessary adjustments if just struck to of the economy change. 131 00:08:44,960 --> 00:08:48,079 Speaker 1: That's my have a cousin, our senior euro Area economist. 132 00:08:48,440 --> 00:08:53,080 Speaker 1: So workers would stay furthered instead of being being laid off, 133 00:08:53,200 --> 00:08:56,320 Speaker 1: losing their jobs and starting looking file as a job. 134 00:08:58,800 --> 00:09:01,840 Speaker 1: The programs did what they are supposed to. Families could 135 00:09:01,840 --> 00:09:04,199 Speaker 1: pay their bills, and keep their jobs even those large 136 00:09:04,200 --> 00:09:07,000 Speaker 1: parts of the economy shut down, But there was always 137 00:09:07,000 --> 00:09:10,720 Speaker 1: a worry about what came next when economies opened up again, 138 00:09:10,960 --> 00:09:13,400 Speaker 1: would those jobs turn out not to be viable In 139 00:09:13,440 --> 00:09:18,680 Speaker 1: the post COVID world, economists predicted that UK unemployment, for example, 140 00:09:18,920 --> 00:09:21,920 Speaker 1: would more than double. In fact, it has stayed below 141 00:09:21,960 --> 00:09:31,360 Speaker 1: five well the full costs were wrong. Now that Europe's 142 00:09:31,360 --> 00:09:33,800 Speaker 1: response to the jobs crisis has stood the test of 143 00:09:33,920 --> 00:09:37,440 Speaker 1: nineteen months of emergency, it's reigniting a debate on whether 144 00:09:37,480 --> 00:09:39,960 Speaker 1: it's better to help workers keep their jobs during a 145 00:09:39,960 --> 00:09:44,720 Speaker 1: crisis at the risk of delaying necessary adjustments, or whether 146 00:09:44,760 --> 00:09:47,160 Speaker 1: it's better to let people lose their jobs but support 147 00:09:47,200 --> 00:09:50,160 Speaker 1: them with higher benefits, as happened in the US. The 148 00:09:50,240 --> 00:09:53,440 Speaker 1: titly depends on the crisis, and this one was very 149 00:09:53,440 --> 00:09:58,640 Speaker 1: special crisis, with very data district adjustment needed. Once vaccination 150 00:09:58,720 --> 00:10:01,560 Speaker 1: poem had made the popes that you can't go back 151 00:10:01,600 --> 00:10:05,680 Speaker 1: to something that looked like the preypond Nicknoman. Behind the 152 00:10:05,720 --> 00:10:09,319 Speaker 1: debate lies a more general assumption within the economics profession 153 00:10:09,640 --> 00:10:13,120 Speaker 1: that while Europe is often kinder to its workers, its 154 00:10:13,200 --> 00:10:16,040 Speaker 1: labor market is full of inefficiencies that get in the 155 00:10:16,080 --> 00:10:20,360 Speaker 1: way of innovation and job creation. After the global financial 156 00:10:20,360 --> 00:10:23,439 Speaker 1: crisis in two thousand eight, jobs were hit harder in 157 00:10:23,480 --> 00:10:26,800 Speaker 1: the US, but in Europe the labor pains lasted much longer, 158 00:10:27,360 --> 00:10:30,319 Speaker 1: with employment only starting to recover about three years after 159 00:10:30,360 --> 00:10:34,160 Speaker 1: the US. European leaders, of course, did not want to 160 00:10:34,200 --> 00:10:39,640 Speaker 1: see a repeat of that experience this time around. The 161 00:10:39,679 --> 00:10:42,960 Speaker 1: furlough schemes went much further in supporting jobs than Europe 162 00:10:42,960 --> 00:10:46,680 Speaker 1: has ever gone before. Companies could reduce hours and stop 163 00:10:46,720 --> 00:10:49,719 Speaker 1: paying their employees full salaries during times when they were 164 00:10:49,760 --> 00:10:53,960 Speaker 1: most strapped for cash. The inspiration came largely from Germany, 165 00:10:54,240 --> 00:10:57,920 Speaker 1: where decades old model known as kotzape It already proved 166 00:10:57,960 --> 00:11:01,320 Speaker 1: itself during the two thousand eight crisis, when it's estimated 167 00:11:01,320 --> 00:11:03,600 Speaker 1: by the o e c D to have saved half 168 00:11:03,640 --> 00:11:07,439 Speaker 1: a million jobs. This time the tally is much higher. 169 00:11:08,000 --> 00:11:12,640 Speaker 1: I think that could by singing and in general unemployment 170 00:11:12,720 --> 00:11:19,359 Speaker 1: insurance policy in Germany. It really made me feel safe 171 00:11:19,679 --> 00:11:24,000 Speaker 1: when COVID first hit. That's Psyche Jang. She moved to 172 00:11:24,040 --> 00:11:26,199 Speaker 1: Germany two and a half years ago from Hong Kong, 173 00:11:26,440 --> 00:11:29,320 Speaker 1: and just before COVID hit, she was working in sales 174 00:11:29,320 --> 00:11:33,120 Speaker 1: and operations for a small private jet charter operator located 175 00:11:33,200 --> 00:11:36,120 Speaker 1: just outside of Frankfurt, which is one of Europe's largest 176 00:11:36,160 --> 00:11:40,720 Speaker 1: aviation hubs. Especially as a foreigner, I was really concerned 177 00:11:40,800 --> 00:11:43,160 Speaker 1: if I lost my job, I lost my visa, I 178 00:11:43,200 --> 00:11:48,320 Speaker 1: have to go home, you know. But later on I recognized, Okay, 179 00:11:48,440 --> 00:11:52,320 Speaker 1: I'm actually secured. Like many in her industry, she found 180 00:11:52,320 --> 00:11:55,320 Speaker 1: herself with little work when business and tourists travel ground 181 00:11:55,320 --> 00:11:59,000 Speaker 1: to a halt in March. My company cut it the 182 00:11:59,040 --> 00:12:02,040 Speaker 1: workload of almost everyone in the team to round to 183 00:12:03,440 --> 00:12:06,640 Speaker 1: and the government would pay the part that we didn't work, 184 00:12:06,920 --> 00:12:10,560 Speaker 1: so eventually I would still get around of my salary 185 00:12:10,600 --> 00:12:14,400 Speaker 1: even though I just work fifty Psyche was actually able 186 00:12:14,440 --> 00:12:17,120 Speaker 1: to use her reduced work schedule to focus on building 187 00:12:17,200 --> 00:12:20,520 Speaker 1: up other skills, such as continuing her flying lessons to 188 00:12:20,520 --> 00:12:23,560 Speaker 1: get a pilot's license, and she eventually also enrolled in 189 00:12:23,559 --> 00:12:27,240 Speaker 1: a master's degree. She recently switched to another company in 190 00:12:27,240 --> 00:12:30,320 Speaker 1: the industry that was able to offer her a better salary, 191 00:12:30,400 --> 00:12:32,200 Speaker 1: but she says a lot of her friends back home 192 00:12:32,200 --> 00:12:35,080 Speaker 1: in Hong Kong who also work in aviation, have had 193 00:12:35,120 --> 00:12:38,480 Speaker 1: a much tougher time getting back into work. You know, nowadays, 194 00:12:38,520 --> 00:12:41,240 Speaker 1: I see people struggle to find a job actually in aviation, 195 00:12:41,760 --> 00:12:47,400 Speaker 1: so and it has been more than a year. Germany's 196 00:12:47,480 --> 00:12:51,280 Speaker 1: quotes APID program does have its limits. For example, it 197 00:12:51,400 --> 00:12:54,880 Speaker 1: isn't available to many low income earners, which included a 198 00:12:55,000 --> 00:12:57,880 Speaker 1: large chunk of the restaurant and hospitality workers who were 199 00:12:57,920 --> 00:13:01,960 Speaker 1: hit hardest by the pandemic. In addition, aid for self 200 00:13:02,000 --> 00:13:04,640 Speaker 1: employed people has been pretty patchy in much of Europe. 201 00:13:05,320 --> 00:13:08,079 Speaker 1: But by and large, the pickup in spending an employment 202 00:13:08,240 --> 00:13:10,839 Speaker 1: suggest the approach that was adopted by Germany and its 203 00:13:10,880 --> 00:13:13,679 Speaker 1: neighbors has left the labor market on pretty good footing. 204 00:13:14,679 --> 00:13:18,040 Speaker 1: Here's our economist may Eva. Again, the labor market is 205 00:13:18,320 --> 00:13:23,000 Speaker 1: in a position of relative stunts um um. It seems 206 00:13:23,000 --> 00:13:25,320 Speaker 1: to have worked, and it seems that actually those followed 207 00:13:25,360 --> 00:13:29,880 Speaker 1: workers have good east back into work relatively happy. It 208 00:13:29,960 --> 00:13:33,079 Speaker 1: doesn't necessarily follow that governments should do this every time 209 00:13:33,120 --> 00:13:36,760 Speaker 1: there is a recession. The COVID shock wasn't a normal downturn, 210 00:13:37,600 --> 00:13:40,640 Speaker 1: but for now Europe's approach appears to have resulted in 211 00:13:40,640 --> 00:13:44,240 Speaker 1: a job's rich recovery while minimizing the pain that workers 212 00:13:44,240 --> 00:13:47,360 Speaker 1: had to go through during the slump. Here's French finance 213 00:13:47,400 --> 00:13:54,800 Speaker 1: minister Bruno Lemaire, speaking on September twenty two. This also 214 00:13:54,960 --> 00:13:59,559 Speaker 1: proved it is that whatever the costs were, there thoughtful, 215 00:14:00,080 --> 00:14:05,120 Speaker 1: effective and necessary policy, and then it was much cheaper 216 00:14:05,480 --> 00:14:11,679 Speaker 1: to protect employees and skills companies, know how, craftsmen, traders, 217 00:14:12,120 --> 00:14:16,440 Speaker 1: liberal professions, rather than then have to repair the damage 218 00:14:16,520 --> 00:14:20,680 Speaker 1: caused by the economic crisis. For bloom Break News, I'm 219 00:14:20,760 --> 00:14:28,560 Speaker 1: Caroline luck Well to discuss all this. I'm joined now 220 00:14:28,800 --> 00:14:31,640 Speaker 1: by one of the great friends of Stephanomics, Adam Posen, 221 00:14:31,720 --> 00:14:34,280 Speaker 1: head of the Peterson Institute for International Economics and a 222 00:14:34,320 --> 00:14:38,520 Speaker 1: former Bank of England policymaker. Adam, thanks for joining us again. 223 00:14:38,720 --> 00:14:41,840 Speaker 1: I guess we should start by saying that governments on 224 00:14:41,880 --> 00:14:44,280 Speaker 1: both sides of the Atlantic have done a lot more 225 00:14:44,360 --> 00:14:47,760 Speaker 1: to support workers than they ever did before during COVID 226 00:14:47,840 --> 00:14:49,760 Speaker 1: and helped a lot of people get through this. When 227 00:14:49,760 --> 00:14:54,280 Speaker 1: you think about what shape those programs, those emergency programs 228 00:14:54,320 --> 00:14:57,440 Speaker 1: have left the economy in coming out of COVID, which 229 00:14:57,480 --> 00:15:01,120 Speaker 1: do you think has performed better or as likely to them? Betta, 230 00:15:01,240 --> 00:15:03,880 Speaker 1: thank you for having me back on Stephanomics. Stephanie, and 231 00:15:03,920 --> 00:15:06,280 Speaker 1: I'm so glad you're cackling this and you're right. The 232 00:15:06,360 --> 00:15:09,400 Speaker 1: starting point is that the US, Western Europe, even other 233 00:15:09,480 --> 00:15:13,480 Speaker 1: countries so to a surprising degree among emerging markets, did 234 00:15:13,560 --> 00:15:16,000 Speaker 1: more to cushion the blow of the pandemic to their 235 00:15:16,040 --> 00:15:19,600 Speaker 1: workers than ever previous shocks. But there was a clear 236 00:15:19,680 --> 00:15:22,960 Speaker 1: difference in the US and most Western European countries, including 237 00:15:23,000 --> 00:15:26,600 Speaker 1: the UK. In the UK and Western Europe, the aid 238 00:15:26,840 --> 00:15:29,400 Speaker 1: was tied to staying in work for the most part, 239 00:15:29,800 --> 00:15:32,520 Speaker 1: whereas in the US you had to basically leave your 240 00:15:32,600 --> 00:15:35,640 Speaker 1: job and foil for unemployment to get the extended benefits. 241 00:15:36,240 --> 00:15:39,840 Speaker 1: And what we're seeing is that unemployment got much higher 242 00:15:39,840 --> 00:15:41,440 Speaker 1: in the U S and even though it's come down 243 00:15:41,440 --> 00:15:45,800 Speaker 1: a lot, it still isn't down back to pre pandemic levels, 244 00:15:45,840 --> 00:15:48,160 Speaker 1: and people have dropped out of the workforce. We're not 245 00:15:48,320 --> 00:15:51,080 Speaker 1: seeing that kind of drop out of the workforce at 246 00:15:51,080 --> 00:15:53,640 Speaker 1: the same level, and we're certainly not seeing a fraction 247 00:15:53,680 --> 00:15:56,880 Speaker 1: of the unemployment in Western Europe. So it looks like 248 00:15:57,320 --> 00:16:00,720 Speaker 1: on a big factor, the Western European what's the right 249 00:16:00,760 --> 00:16:03,840 Speaker 1: one just to push back a bit, I mean, doesn't 250 00:16:03,840 --> 00:16:06,600 Speaker 1: the explosion in small business creation, for example, in the 251 00:16:06,720 --> 00:16:10,000 Speaker 1: US in the second half of twenty which is which 252 00:16:10,000 --> 00:16:14,480 Speaker 1: has continued, show that the US did encourage more dynamism. 253 00:16:14,680 --> 00:16:18,119 Speaker 1: Even though it did it also produce these greater frictions 254 00:16:18,120 --> 00:16:21,080 Speaker 1: and disruptions for people. It was the right call to 255 00:16:21,280 --> 00:16:25,240 Speaker 1: emphasize more of the reduced frictions and not worry so 256 00:16:25,280 --> 00:16:29,120 Speaker 1: much about dynamism. The explosion in small business in the 257 00:16:29,200 --> 00:16:31,920 Speaker 1: US is of course welcome, and it shows the resilience 258 00:16:31,960 --> 00:16:35,320 Speaker 1: of many American workers. But as always is the case, 259 00:16:35,360 --> 00:16:37,040 Speaker 1: and we saw this in the two thousand eight to 260 00:16:37,160 --> 00:16:40,880 Speaker 1: ten crisis, some of those people making small businesses are 261 00:16:40,920 --> 00:16:43,440 Speaker 1: just somehow making ends meet. They're unemployed, and they have 262 00:16:43,480 --> 00:16:46,280 Speaker 1: to create a way of getting through it. The question 263 00:16:46,440 --> 00:16:49,800 Speaker 1: is do those small businesses thrive, Are they preferable to 264 00:16:49,880 --> 00:16:53,560 Speaker 1: full time work? Are they growing in some measure over 265 00:16:53,640 --> 00:16:55,880 Speaker 1: the next few years, And that remains to be seen. 266 00:16:56,040 --> 00:16:59,880 Speaker 1: I fear that the small business numbers are flattered by 267 00:17:00,040 --> 00:17:02,880 Speaker 1: people just doing as best they could during the crisis. 268 00:17:04,119 --> 00:17:05,919 Speaker 1: I guess when you look at the furlough schemes, you 269 00:17:05,960 --> 00:17:09,880 Speaker 1: feel one one naturally feels it must be better for 270 00:17:09,960 --> 00:17:13,119 Speaker 1: keeping people attached to the labor market to have them 271 00:17:13,200 --> 00:17:16,080 Speaker 1: formally still in jobs for a year, even if they're 272 00:17:16,080 --> 00:17:19,679 Speaker 1: sitting at home, than to be unemployed, completely out of 273 00:17:19,800 --> 00:17:22,880 Speaker 1: or completely out of the workforce for a year. But 274 00:17:22,920 --> 00:17:24,880 Speaker 1: I guess at some level, just sitting on your hand 275 00:17:24,920 --> 00:17:27,720 Speaker 1: three years, it's going to affect your productivity either way. 276 00:17:27,840 --> 00:17:29,879 Speaker 1: Do you think there's going to be a productivity cost 277 00:17:30,119 --> 00:17:33,840 Speaker 1: to holding jobs in place the way they have in Europe? 278 00:17:34,840 --> 00:17:39,040 Speaker 1: I think you're right that there is going to be 279 00:17:39,200 --> 00:17:42,280 Speaker 1: this difficulty that anybody who's been out of work for 280 00:17:42,320 --> 00:17:46,840 Speaker 1: a while has some decline in what we'll call soft skills. 281 00:17:46,880 --> 00:17:50,520 Speaker 1: But I think that underestimates people's resilience. I wouldn't I 282 00:17:50,560 --> 00:17:55,080 Speaker 1: wouldn't end adaptability. I mean, remember, millions of people voluntarily 283 00:17:55,080 --> 00:17:57,760 Speaker 1: walk away from jobs or lose jobs in a normal 284 00:17:57,880 --> 00:18:01,120 Speaker 1: year anyway, as we've discussed in the past, and so 285 00:18:01,359 --> 00:18:04,520 Speaker 1: I don't think that's the right way to look at it. 286 00:18:04,560 --> 00:18:08,879 Speaker 1: The productivity growth benefits would be if, as you just said, 287 00:18:09,520 --> 00:18:13,760 Speaker 1: these small businesses suddenly became engines of employment and growth 288 00:18:13,760 --> 00:18:16,440 Speaker 1: in future. And again I'm sure that will be true 289 00:18:16,440 --> 00:18:18,439 Speaker 1: for some of them, but it's not big enough to 290 00:18:18,480 --> 00:18:21,120 Speaker 1: justify millions of people having to go through being out 291 00:18:21,119 --> 00:18:25,399 Speaker 1: of work. I feel like I'm defending via the US 292 00:18:25,480 --> 00:18:27,280 Speaker 1: case here. And we heard an a on the on 293 00:18:27,359 --> 00:18:30,160 Speaker 1: the piece that there were plenty of holes, and even 294 00:18:30,200 --> 00:18:33,760 Speaker 1: in this extraordinary scheme, plenty of people who didn't get support, 295 00:18:33,800 --> 00:18:36,240 Speaker 1: and questions raised about sort of the future of the 296 00:18:36,359 --> 00:18:38,680 Speaker 1: US safety in it. But if we if we step 297 00:18:38,720 --> 00:18:41,840 Speaker 1: back from that and just think about the productivity impact, 298 00:18:42,200 --> 00:18:46,920 Speaker 1: a very harsh view of the US approach would be, 299 00:18:47,440 --> 00:18:54,359 Speaker 1: you know, we helped businesses actually sees some great innovation 300 00:18:54,480 --> 00:18:58,199 Speaker 1: and advantages in the midst of this crisis in a 301 00:18:58,240 --> 00:19:01,000 Speaker 1: way that hasn't happened in your and that has given 302 00:19:01,080 --> 00:19:03,680 Speaker 1: us productivity growth which will stand the economy and good 303 00:19:03,720 --> 00:19:06,679 Speaker 1: stead in the future, even though we left a lot 304 00:19:06,720 --> 00:19:08,800 Speaker 1: of people behind, and that is clearly going to be 305 00:19:08,840 --> 00:19:12,080 Speaker 1: an issue too. I think it's fair to pursue that 306 00:19:12,119 --> 00:19:15,720 Speaker 1: point of view. I am not as convinced of it 307 00:19:15,880 --> 00:19:20,840 Speaker 1: because I think a lot of the productivity gains we're 308 00:19:20,880 --> 00:19:25,800 Speaker 1: talking about your your colleagues rightly document are temporary or 309 00:19:25,920 --> 00:19:29,440 Speaker 1: one time. I think you know, it was reasonable for example, 310 00:19:29,480 --> 00:19:32,000 Speaker 1: for white colored people like me do not waste so 311 00:19:32,080 --> 00:19:35,959 Speaker 1: much time and business travel. It was good to create 312 00:19:36,600 --> 00:19:39,800 Speaker 1: a lot more services of delivery and and and sort 313 00:19:39,800 --> 00:19:43,199 Speaker 1: of the uberization of a lot of small processes. But 314 00:19:43,280 --> 00:19:48,879 Speaker 1: these are not transformative, big technological big productivity jumps. The 315 00:19:48,960 --> 00:19:51,679 Speaker 1: other thing I would say is what we saw in 316 00:19:51,720 --> 00:19:54,359 Speaker 1: Europe in the nineties and in the two thousands was 317 00:19:54,400 --> 00:19:58,879 Speaker 1: a lot of the productivity problems are because the cutting 318 00:19:58,960 --> 00:20:04,000 Speaker 1: edge technologies don't diffuse from the biggest companies to throughout 319 00:20:04,080 --> 00:20:07,000 Speaker 1: the economy. And you've written on this. I know, um, 320 00:20:07,080 --> 00:20:08,840 Speaker 1: and that's true in the U S to or lesser degree, 321 00:20:08,880 --> 00:20:11,560 Speaker 1: But that's got less to do with the workforce incentives 322 00:20:11,560 --> 00:20:14,720 Speaker 1: and more to do with business dynamism in terms of 323 00:20:14,760 --> 00:20:18,680 Speaker 1: their investment patterns and their willingness to change. I guess 324 00:20:18,680 --> 00:20:23,320 Speaker 1: the final question that comes up, particularly in red Pickets 325 00:20:23,320 --> 00:20:27,360 Speaker 1: our reporters piece about the US was just how how 326 00:20:27,480 --> 00:20:32,600 Speaker 1: the massive rising unemployment last year, clearly through no fault 327 00:20:32,640 --> 00:20:37,400 Speaker 1: of the individuals concerned, put a spotlight on the holes 328 00:20:37,520 --> 00:20:40,440 Speaker 1: and the weaknesses of the US social safety net, particularly 329 00:20:40,440 --> 00:20:42,920 Speaker 1: when it comes to unemployed people. Do you think that 330 00:20:43,200 --> 00:20:48,600 Speaker 1: is something that experience is going to change the US 331 00:20:48,640 --> 00:20:52,359 Speaker 1: safety net forever? Or when we stop paying attention to it, 332 00:20:52,400 --> 00:20:53,800 Speaker 1: is it just going to go back to the same 333 00:20:53,800 --> 00:20:57,159 Speaker 1: old sort of patchwork of not very good systems. It 334 00:20:57,400 --> 00:21:01,439 Speaker 1: should change the U S State network forever because we 335 00:21:01,440 --> 00:21:05,800 Speaker 1: we saw how much difference it made to human well being, 336 00:21:05,920 --> 00:21:08,879 Speaker 1: to the society's while being to the recovery of the economy, 337 00:21:08,920 --> 00:21:12,440 Speaker 1: and how little it had the negative effects that people 338 00:21:12,520 --> 00:21:15,200 Speaker 1: worry about in terms of safety net. But I fear 339 00:21:15,240 --> 00:21:20,959 Speaker 1: it won't the politics, both the structural politics that everything 340 00:21:21,000 --> 00:21:24,240 Speaker 1: has done so decentralized at state and local government levels, 341 00:21:24,280 --> 00:21:27,640 Speaker 1: so it's very difficult to get in place a national 342 00:21:27,680 --> 00:21:33,080 Speaker 1: safety net, but also the small pop politics that there 343 00:21:33,080 --> 00:21:36,200 Speaker 1: you know, you saw the people attacking the extended unemployment 344 00:21:36,280 --> 00:21:41,119 Speaker 1: benefits making crazy claims about lazy workers or workers losing 345 00:21:41,119 --> 00:21:44,439 Speaker 1: the interest in working, and so I fear the lesson 346 00:21:44,520 --> 00:21:48,040 Speaker 1: should be taken but won't be. We tend to hear 347 00:21:48,240 --> 00:21:51,760 Speaker 1: President Biden talking about expanding the US safety net, and 348 00:21:51,760 --> 00:21:53,800 Speaker 1: we know that there's been this kind of rocky road 349 00:21:53,880 --> 00:21:57,359 Speaker 1: for his proposals in Congress. Is there anything he's doing 350 00:21:57,520 --> 00:22:02,400 Speaker 1: that will fundamentally strengthen this fifty net? I think the 351 00:22:02,440 --> 00:22:06,480 Speaker 1: most important thing in the proposed Reconciliation Package, or what 352 00:22:06,600 --> 00:22:09,800 Speaker 1: used to be called American Family Plan, are things to 353 00:22:10,080 --> 00:22:13,040 Speaker 1: help people with medical leave, to help women be in 354 00:22:13,080 --> 00:22:17,959 Speaker 1: the workforce, by building up childcare and elder care possibilities, 355 00:22:18,000 --> 00:22:21,199 Speaker 1: by making more equal those burdens and sharing them and 356 00:22:21,240 --> 00:22:24,920 Speaker 1: providing more support for children. These are all incredibly positive 357 00:22:24,960 --> 00:22:28,440 Speaker 1: long term for labor supply, but I don't think they 358 00:22:28,600 --> 00:22:30,960 Speaker 1: go to the safety net in terms of what happens 359 00:22:30,960 --> 00:22:34,520 Speaker 1: when there's an economic shock, so that part remains to 360 00:22:34,560 --> 00:22:38,399 Speaker 1: be dealt with. So Adam Poson, we've had Europe versus 361 00:22:38,440 --> 00:22:40,560 Speaker 1: the US on job support, and I think we've had 362 00:22:40,880 --> 00:22:43,160 Speaker 1: a pretty clear vote for Europe in what you said. 363 00:22:43,320 --> 00:22:53,879 Speaker 1: Thank you very much. That's it for this episode of Stephanomics. 364 00:22:53,880 --> 00:22:56,040 Speaker 1: We'll be back next week in the meantime. If you 365 00:22:56,119 --> 00:22:59,639 Speaker 1: like the podcast, please rate it and follow us Economics 366 00:22:59,640 --> 00:23:02,440 Speaker 1: on Twist for more news and analysis from Bloomberg Economics. 367 00:23:03,160 --> 00:23:06,399 Speaker 1: This episode was produced by Magnus Hendrickson, as always, with 368 00:23:06,480 --> 00:23:09,320 Speaker 1: special thanks to read Pick It, Karen and Look, and 369 00:23:09,400 --> 00:23:13,600 Speaker 1: Adam Poson. Mike Sasso is executive producer of Stephonomics and 370 00:23:13,640 --> 00:23:18,359 Speaker 1: the head of Bloomberg Podcast is Francesco leaving H