1 00:00:10,119 --> 00:00:14,320 Speaker 1: Hello, and welcome to another episode of the Odd Lots Podcast. 2 00:00:14,400 --> 00:00:18,720 Speaker 1: I'm Joe Wisnal and I'm Tracy. Tracy. I'm gonna say 3 00:00:18,720 --> 00:00:21,919 Speaker 1: something and I don't think it's particularly sort of controversial, 4 00:00:21,920 --> 00:00:25,720 Speaker 1: but this is my assessment. No, no, no, this is 5 00:00:25,760 --> 00:00:29,080 Speaker 1: my basic assessment of where we are, like big picture, 6 00:00:29,240 --> 00:00:31,440 Speaker 1: like you know, over two years since the start of 7 00:00:31,480 --> 00:00:36,360 Speaker 1: the pandemic, which is that the labor market has recovered 8 00:00:36,600 --> 00:00:40,200 Speaker 1: far faster than anyone would have expected in March and April. 9 00:00:41,520 --> 00:00:44,240 Speaker 1: And the big issue now, of course, is the sort 10 00:00:44,280 --> 00:00:49,320 Speaker 1: of above trend, significantly above trend, above target inflation. So 11 00:00:50,200 --> 00:00:53,159 Speaker 1: that's not controversial, that's right. I mean, yes, if you 12 00:00:53,200 --> 00:00:56,320 Speaker 1: look at headline unemployment, I think it's a what is 13 00:00:56,320 --> 00:00:58,720 Speaker 1: it three point five or three point six percent? Three 14 00:00:59,480 --> 00:01:04,000 Speaker 1: three point five percent for July. But I think the 15 00:01:04,120 --> 00:01:07,240 Speaker 1: controversy or where there is a lot of disagreement is 16 00:01:07,319 --> 00:01:10,760 Speaker 1: over what that's telling you exactly, because if you look 17 00:01:10,760 --> 00:01:14,600 Speaker 1: at some other indicators of labor market health, things like 18 00:01:14,760 --> 00:01:18,000 Speaker 1: the participation rate, those show a very different picture, very 19 00:01:18,000 --> 00:01:19,880 Speaker 1: different picture. You're totally right. So I'm looking at the 20 00:01:19,959 --> 00:01:24,160 Speaker 1: overall labor force participation rate here on the Bloomberg and 21 00:01:24,319 --> 00:01:27,280 Speaker 1: as the latest reading it's sixty two point one PENT 22 00:01:28,160 --> 00:01:33,720 Speaker 1: pre crisis February sixty three point four. So it is 23 00:01:33,760 --> 00:01:37,399 Speaker 1: clearly like by this measure we have clearly not recovered. 24 00:01:37,600 --> 00:01:40,200 Speaker 1: And of course this was trending down through much of 25 00:01:40,240 --> 00:01:43,520 Speaker 1: the post Great Financial Crisis period, it started picking up, 26 00:01:43,760 --> 00:01:50,160 Speaker 1: started gaining steam in so by this measure we've suffered 27 00:01:50,280 --> 00:01:54,120 Speaker 1: a setback, a real reset perhaps. Yeah. And this is 28 00:01:54,160 --> 00:01:58,000 Speaker 1: where a lot of the tension in dissecting the labor 29 00:01:58,040 --> 00:02:01,280 Speaker 1: market exists right now. This idea that the unemployment rate 30 00:02:01,360 --> 00:02:04,400 Speaker 1: is really really low, but there is also this narrative 31 00:02:04,640 --> 00:02:06,800 Speaker 1: that no one wants to work anymore and that it's 32 00:02:06,800 --> 00:02:09,120 Speaker 1: hard for companies to find the right workers and things 33 00:02:09,160 --> 00:02:13,519 Speaker 1: like that. And even within the labor participation rate, there 34 00:02:13,520 --> 00:02:18,480 Speaker 1: are variations between gender, between race and age and things 35 00:02:18,520 --> 00:02:22,000 Speaker 1: like that. So there's a lot to discuss, right So, 36 00:02:22,320 --> 00:02:26,280 Speaker 1: you know, one other statistic that's important part of the 37 00:02:26,360 --> 00:02:30,840 Speaker 1: story with declining labor for force participation might be retirees. 38 00:02:30,960 --> 00:02:33,520 Speaker 1: You have a lot of old people who maybe after 39 00:02:33,600 --> 00:02:38,080 Speaker 1: the pandemic hit the like retirement, great retirement, etcetera. But 40 00:02:38,160 --> 00:02:41,200 Speaker 1: that can't explain the entire story because even if you 41 00:02:41,240 --> 00:02:45,120 Speaker 1: look at say employment to population for fift year old 42 00:02:45,200 --> 00:02:48,840 Speaker 1: sort of so called prime age workers. Another way of 43 00:02:48,919 --> 00:02:52,920 Speaker 1: measuring sort of labor force participation, that's at eight percent, 44 00:02:53,639 --> 00:02:58,960 Speaker 1: not too bad. But again, prior to the crisis, we're 45 00:02:59,000 --> 00:03:02,440 Speaker 1: at eighty point five percent. And so again, you know, 46 00:03:02,639 --> 00:03:05,600 Speaker 1: these some of these things like say old people retired, 47 00:03:05,639 --> 00:03:07,960 Speaker 1: like they don't seem to explain the full story anyway. 48 00:03:07,960 --> 00:03:09,640 Speaker 1: The bottom line is there still seems to be some 49 00:03:09,760 --> 00:03:12,239 Speaker 1: mystery about like what's going on with labor. Yeah, well, 50 00:03:12,280 --> 00:03:15,320 Speaker 1: the mystery is, you know, if you look at unemployment, 51 00:03:15,840 --> 00:03:18,280 Speaker 1: it all looks great, everyone seems to be working. If 52 00:03:18,280 --> 00:03:21,960 Speaker 1: you look at some other things then, especially anecdotal data 53 00:03:22,080 --> 00:03:24,919 Speaker 1: from companies who say they're having trouble finding workers, then 54 00:03:25,080 --> 00:03:28,640 Speaker 1: it seems like no one's working. You know what, Let's 55 00:03:28,639 --> 00:03:31,480 Speaker 1: talk to someone who is much smarter than us and 56 00:03:31,480 --> 00:03:34,320 Speaker 1: who knows a lot about the labor market data, and 57 00:03:34,360 --> 00:03:37,240 Speaker 1: in fact that's their entire role, their entire job. We're 58 00:03:37,240 --> 00:03:39,720 Speaker 1: gonna be speaking today with Joel Gamble. She is the 59 00:03:39,800 --> 00:03:42,880 Speaker 1: chief economist at the Department of Labor, and she's going 60 00:03:42,920 --> 00:03:46,200 Speaker 1: to clear all of this stuff up for us, hopefully. So, Joel, 61 00:03:46,480 --> 00:03:53,400 Speaker 1: thank you so much for coming on the podcast you're 62 00:03:53,440 --> 00:03:55,600 Speaker 1: going to you're gonna answer all our questions. We're gonna 63 00:03:55,600 --> 00:03:58,680 Speaker 1: walk away from here without a mystery. But in all seriousness, 64 00:03:58,720 --> 00:04:01,560 Speaker 1: you know, I remember, in the wake of the Great 65 00:04:01,600 --> 00:04:06,000 Speaker 1: Financial Crisis, we had also a big drop in labor 66 00:04:06,040 --> 00:04:10,160 Speaker 1: force participation rate, employment, the population ratio, and people said 67 00:04:10,160 --> 00:04:12,800 Speaker 1: things like, oh, this is like a structural change in 68 00:04:12,840 --> 00:04:15,920 Speaker 1: the labor market. Something happened, that's just different, And it 69 00:04:15,960 --> 00:04:17,479 Speaker 1: turned out most of those people are wrong. We just 70 00:04:17,520 --> 00:04:20,760 Speaker 1: needed a stronger economy, and when growth picked up, most 71 00:04:20,800 --> 00:04:24,000 Speaker 1: of the jobs came back, and we actually, uh, you know, 72 00:04:24,080 --> 00:04:25,919 Speaker 1: we did eventually get all the jobs back. It just 73 00:04:25,960 --> 00:04:28,320 Speaker 1: took way too long because growth was so sluggish. Do 74 00:04:28,360 --> 00:04:32,799 Speaker 1: you see evidence of a more structural shift in who's 75 00:04:32,839 --> 00:04:35,720 Speaker 1: working these days post pandemic or is this going to 76 00:04:35,800 --> 00:04:38,280 Speaker 1: be another story where everyone is quick to rush to 77 00:04:38,440 --> 00:04:41,840 Speaker 1: pronounce structural change but really it's just a matter of 78 00:04:41,839 --> 00:04:45,920 Speaker 1: time before full normalization. Well, I think in a very 79 00:04:46,000 --> 00:04:49,799 Speaker 1: online world there's often, you know, a rush to assess 80 00:04:49,880 --> 00:04:52,360 Speaker 1: the state of the labor market. But I see things 81 00:04:52,400 --> 00:04:56,400 Speaker 1: a few ways when there are real through lines that 82 00:04:56,440 --> 00:04:59,360 Speaker 1: are trends, especially when we're talking about the labor force 83 00:04:59,400 --> 00:05:04,279 Speaker 1: participation rate right there's an aging population, for example, you 84 00:05:04,279 --> 00:05:07,600 Speaker 1: know there's gender shifts, particularly with labor force participation rates 85 00:05:07,640 --> 00:05:10,320 Speaker 1: for men, particularly white men, declining over time. That was 86 00:05:10,400 --> 00:05:13,599 Speaker 1: pre pandemic, that was occurring during the recovery from the 87 00:05:13,640 --> 00:05:16,479 Speaker 1: Great Recession um and so there are there are real 88 00:05:16,600 --> 00:05:19,200 Speaker 1: things that are more structural. I would think would also 89 00:05:19,200 --> 00:05:21,920 Speaker 1: include immigration in the way that's affecting overall labor supply 90 00:05:22,480 --> 00:05:26,039 Speaker 1: as a structural change. Those administration is doing all we 91 00:05:26,080 --> 00:05:29,520 Speaker 1: can to increase authorized immigration and fixing some of the 92 00:05:29,520 --> 00:05:32,120 Speaker 1: mistakes that were made by the last administration. But there's 93 00:05:32,160 --> 00:05:34,600 Speaker 1: also some things that may be unique to what we've 94 00:05:34,640 --> 00:05:38,440 Speaker 1: just experienced, which was a huge disruption to the US economy, 95 00:05:38,680 --> 00:05:41,640 Speaker 1: a deep recession, and a really fast recovery. I think 96 00:05:41,720 --> 00:05:44,440 Speaker 1: Claudia Golden actually has a really interesting working paper that 97 00:05:44,480 --> 00:05:47,000 Speaker 1: came out this year that highlights kind of the relationship 98 00:05:47,040 --> 00:05:50,240 Speaker 1: between some of the pre pandemic labor market trends and 99 00:05:50,560 --> 00:05:53,440 Speaker 1: how we assess it today, particularly the fact that, for instance, 100 00:05:53,680 --> 00:05:56,080 Speaker 1: there's a big run up and female labor force participation 101 00:05:56,240 --> 00:05:59,760 Speaker 1: right before the pandemic recession, and that matters for how 102 00:05:59,839 --> 00:06:03,440 Speaker 1: we think about female labor force participation today, and that 103 00:06:03,520 --> 00:06:05,680 Speaker 1: big increase in the run up right before the recession 104 00:06:05,720 --> 00:06:08,800 Speaker 1: was among you know, women with lower levels of education, 105 00:06:08,920 --> 00:06:12,360 Speaker 1: young children, younger women, they're more marginally attached. Those are 106 00:06:12,400 --> 00:06:14,760 Speaker 1: also some of the women whom we could see coming 107 00:06:14,760 --> 00:06:17,560 Speaker 1: back now and that would improve labor force participation. In fact, 108 00:06:17,680 --> 00:06:21,120 Speaker 1: education believe is a big role. For instance, both men 109 00:06:21,200 --> 00:06:23,920 Speaker 1: without college degrees and women without college degrees who are 110 00:06:23,920 --> 00:06:26,000 Speaker 1: in their prime age working years could come back to 111 00:06:26,080 --> 00:06:29,200 Speaker 1: the labor market and you know, improve labor force participation. 112 00:06:29,440 --> 00:06:31,200 Speaker 1: That's an addition to like the fact that people die, 113 00:06:31,240 --> 00:06:34,160 Speaker 1: there's excess retirements, all those other stories that we've been 114 00:06:34,160 --> 00:06:37,400 Speaker 1: talking about. So there's a mix of structural trends and 115 00:06:37,440 --> 00:06:39,520 Speaker 1: there are some unique things that are happening right now, 116 00:06:40,040 --> 00:06:42,520 Speaker 1: um that are affecting, you know, the composition of the 117 00:06:42,600 --> 00:06:45,279 Speaker 1: labor force. Could you dive in a little bit more 118 00:06:45,400 --> 00:06:51,080 Speaker 1: into the gender discrepancy in labor force participation because if 119 00:06:51,120 --> 00:06:54,400 Speaker 1: you chart, for instance, the participation rate for prime age 120 00:06:54,400 --> 00:06:58,000 Speaker 1: women versus prime age men, those two lines just go 121 00:06:58,360 --> 00:07:02,240 Speaker 1: in very different directions. So for men, you know, it's 122 00:07:02,279 --> 00:07:04,160 Speaker 1: been trending down for a while. For women, it's been 123 00:07:04,200 --> 00:07:07,520 Speaker 1: trending up right up until COVID hit as you mentioned, 124 00:07:07,720 --> 00:07:10,840 Speaker 1: but it certainly recovered a lot faster than the male 125 00:07:10,920 --> 00:07:14,880 Speaker 1: participation rate. What's going on there? So I think a 126 00:07:14,920 --> 00:07:17,440 Speaker 1: few things are happening, but I think it's important to 127 00:07:17,480 --> 00:07:22,320 Speaker 1: delineate even within gender different populations. Right women are not 128 00:07:22,360 --> 00:07:24,880 Speaker 1: a monolith. Men are not a monolith. And I think 129 00:07:24,880 --> 00:07:27,360 Speaker 1: it's important to do that in part because, you know, 130 00:07:27,480 --> 00:07:30,560 Speaker 1: we think about how the recession affected women and their 131 00:07:30,640 --> 00:07:33,960 Speaker 1: labor force participation rate. You know, the ability to work 132 00:07:34,000 --> 00:07:37,480 Speaker 1: from home likely played a big role. Women with higher 133 00:07:37,480 --> 00:07:39,880 Speaker 1: of levels of education, you know, even if they still 134 00:07:39,880 --> 00:07:42,600 Speaker 1: had caregiving duties, were more like, we're more able to 135 00:07:42,680 --> 00:07:44,720 Speaker 1: keep their jobs. Women who had to go in person 136 00:07:44,760 --> 00:07:47,080 Speaker 1: for work, whether they were mothers or not, were more 137 00:07:47,120 --> 00:07:49,720 Speaker 1: likely to have to you know, lose their job, get 138 00:07:49,760 --> 00:07:51,920 Speaker 1: laid off, etcetera. And so I do think that the 139 00:07:52,040 --> 00:07:55,000 Speaker 1: education plays an important role there. And then in terms 140 00:07:55,040 --> 00:07:57,160 Speaker 1: of you know, the labor force participation rate right now, 141 00:07:57,240 --> 00:08:00,680 Speaker 1: I think this is a very well told story. Worry that, 142 00:08:01,000 --> 00:08:04,800 Speaker 1: you know, for women, the ability to into the workforce 143 00:08:04,880 --> 00:08:08,600 Speaker 1: is affected by a number of factors, including including care 144 00:08:08,720 --> 00:08:12,680 Speaker 1: including you know, workplace safety, including school policies as well, 145 00:08:12,680 --> 00:08:15,240 Speaker 1: and so I think there's there's a pretty complex story there, 146 00:08:15,240 --> 00:08:18,280 Speaker 1: but I would really underline the importance of, you know, 147 00:08:19,040 --> 00:08:21,400 Speaker 1: looking at the nuance within the population of women in 148 00:08:21,400 --> 00:08:23,280 Speaker 1: the U. S. Economy, and we can get into race 149 00:08:23,320 --> 00:08:27,640 Speaker 1: as well. I think that's that's important too. Obviously, even 150 00:08:27,840 --> 00:08:30,840 Speaker 1: last year, there were a lot of schools that were disrupted, 151 00:08:30,920 --> 00:08:33,720 Speaker 1: They that weren't open the entire year. Both of my 152 00:08:34,160 --> 00:08:37,480 Speaker 1: I think at least one of my kids definitely head 153 00:08:37,520 --> 00:08:40,520 Speaker 1: days where they had to stay home due to the 154 00:08:40,600 --> 00:08:44,160 Speaker 1: school being closed due to COVID. Do you see significant 155 00:08:44,160 --> 00:08:49,640 Speaker 1: potential upside gained still for women once we get to 156 00:08:49,679 --> 00:08:52,920 Speaker 1: a place in which the care question to some extent 157 00:08:53,040 --> 00:08:55,680 Speaker 1: is at least no longer uncertain. Maybe not as ideal 158 00:08:55,720 --> 00:08:57,480 Speaker 1: as it would be in the sort of ideal scenario 159 00:08:57,520 --> 00:09:00,520 Speaker 1: of like universal child care, but something or at least 160 00:09:00,520 --> 00:09:02,640 Speaker 1: like the uncertainty of whether you're going to have someone 161 00:09:02,679 --> 00:09:06,200 Speaker 1: watch your kids during the day goes away. I think 162 00:09:06,200 --> 00:09:10,560 Speaker 1: the word uncertainty is key there, because when you have 163 00:09:10,679 --> 00:09:14,199 Speaker 1: certainty about childcare arrangements, for example, or other care arrangements, 164 00:09:14,200 --> 00:09:16,959 Speaker 1: that enables you to plan, That enables you to plan 165 00:09:17,040 --> 00:09:19,120 Speaker 1: either of your having to work from home, you know, 166 00:09:19,240 --> 00:09:21,200 Speaker 1: or it'll enables you to plan to go in person, 167 00:09:21,800 --> 00:09:24,880 Speaker 1: especially as more people feel comfortable going into work or 168 00:09:24,920 --> 00:09:27,760 Speaker 1: more employers feel comfortable asking their workers to come in 169 00:09:28,160 --> 00:09:30,760 Speaker 1: and so you know, there's probably some upside risk there, 170 00:09:31,160 --> 00:09:33,080 Speaker 1: but as you also mentioned, you know there are bigger 171 00:09:33,120 --> 00:09:53,840 Speaker 1: investment needs in that space. So setting women aside, which 172 00:09:53,880 --> 00:09:56,920 Speaker 1: is a terrible phrase, if we focus on the male 173 00:09:57,000 --> 00:10:00,280 Speaker 1: participation rate for a second, I'm still wondering, like, why 174 00:10:00,360 --> 00:10:03,240 Speaker 1: has that been trending down for so long and why 175 00:10:03,520 --> 00:10:06,040 Speaker 1: does it seem to be struggling to recover. What do 176 00:10:06,080 --> 00:10:08,320 Speaker 1: you see there, because I imagine you see a mix 177 00:10:08,320 --> 00:10:12,120 Speaker 1: of the data but also you know, some anecdotes as well. Yes, 178 00:10:12,200 --> 00:10:14,360 Speaker 1: I think I think it's a few things in terms 179 00:10:14,400 --> 00:10:18,400 Speaker 1: of why it's been declining downward. Um, there are some 180 00:10:18,480 --> 00:10:21,600 Speaker 1: structural challenge there in terms of access to opportunity. It 181 00:10:21,679 --> 00:10:25,199 Speaker 1: depends on heavily by race to you know, folks who 182 00:10:25,200 --> 00:10:29,160 Speaker 1: are interacting with the criminal justice system are also you know, 183 00:10:29,240 --> 00:10:32,240 Speaker 1: going to struggle more defined employment to get discouraged to 184 00:10:32,280 --> 00:10:34,480 Speaker 1: end up leaving the labor force. You know, there are 185 00:10:34,480 --> 00:10:36,440 Speaker 1: people who are not in the labor force right so 186 00:10:36,480 --> 00:10:39,600 Speaker 1: they're not participating, But who do actually want a job. 187 00:10:39,880 --> 00:10:42,320 Speaker 1: But I think it's an important distinction and to make 188 00:10:42,360 --> 00:10:44,760 Speaker 1: here that not everyone who wants a job is actively 189 00:10:44,800 --> 00:10:46,960 Speaker 1: looking by the way we measure it in in the 190 00:10:47,000 --> 00:10:50,920 Speaker 1: Bureau of Labor Statistics surveys, so there are challenges there. Um. 191 00:10:50,960 --> 00:10:52,920 Speaker 1: I also think that frankly, you know, this is a 192 00:10:52,960 --> 00:10:56,440 Speaker 1: place where tighter labor markets can help. You know, I 193 00:10:56,520 --> 00:11:01,080 Speaker 1: mentioned women with lower levels of education being mark more market, 194 00:11:01,120 --> 00:11:03,560 Speaker 1: I'm more likely to be marginally attached. That also can 195 00:11:03,640 --> 00:11:06,120 Speaker 1: happen for men, particularly for for black men, And we're 196 00:11:06,120 --> 00:11:10,280 Speaker 1: actually seeing for black men at least a much higher 197 00:11:10,360 --> 00:11:13,559 Speaker 1: level of employee or a much faster employment recovery than 198 00:11:13,600 --> 00:11:16,880 Speaker 1: in the last recovery. So for example, their prime, their 199 00:11:17,160 --> 00:11:21,680 Speaker 1: employments population level has been pretty elevated for for some time. 200 00:11:22,640 --> 00:11:24,920 Speaker 1: Why do you why do you think it's been so 201 00:11:25,360 --> 00:11:28,000 Speaker 1: the trajectory has been so different. I mean this way 202 00:11:28,160 --> 00:11:30,839 Speaker 1: for years, you know, post grade financial crisis, Like we 203 00:11:30,920 --> 00:11:33,480 Speaker 1: talked about this slow recovery and all of these measures, 204 00:11:33,880 --> 00:11:37,439 Speaker 1: and we talked about there's this huge gap between white 205 00:11:37,520 --> 00:11:41,200 Speaker 1: unemployment and black unemployment, and it's still high, but it's 206 00:11:41,280 --> 00:11:45,120 Speaker 1: closed a lot faster than, you know, than anything that 207 00:11:45,160 --> 00:11:47,920 Speaker 1: we've seen post grade financial crisis, and A why do 208 00:11:47,960 --> 00:11:50,800 Speaker 1: you think that is? And B is this something that 209 00:11:50,840 --> 00:11:53,600 Speaker 1: you think we can build on as an economy and 210 00:11:53,720 --> 00:11:56,280 Speaker 1: that some of these gains can be locked in and 211 00:11:56,320 --> 00:12:00,079 Speaker 1: that the benefits of having a job that seemed to 212 00:12:00,160 --> 00:12:03,920 Speaker 1: you know that have lots of positive externalities long term benefits. 213 00:12:04,200 --> 00:12:06,680 Speaker 1: Is this something from the current environment that you see 214 00:12:06,720 --> 00:12:10,440 Speaker 1: is benefiting the economy for years to come. Yes, So 215 00:12:11,120 --> 00:12:12,960 Speaker 1: there's a lot a lot to unpack there. But I 216 00:12:12,960 --> 00:12:17,120 Speaker 1: think to your observation about the unemployment gaps, that is, 217 00:12:17,320 --> 00:12:20,160 Speaker 1: you know, an important aspect of this recovery, right, the 218 00:12:20,240 --> 00:12:25,239 Speaker 1: gap between black unemployment and white unemployment, or Hispanic unemployment 219 00:12:25,280 --> 00:12:28,200 Speaker 1: and white unemployment, tends to be correlated with the business cycle. 220 00:12:28,880 --> 00:12:31,920 Speaker 1: So when you see a fast recovery, um you see 221 00:12:32,480 --> 00:12:37,000 Speaker 1: a lower ratio of of unemployed persons to vacancies, then 222 00:12:37,080 --> 00:12:40,559 Speaker 1: you are more likely to see better labor market outcomes 223 00:12:41,040 --> 00:12:45,400 Speaker 1: relative to a looser labor market for black and Hispanic workers. 224 00:12:45,559 --> 00:12:47,800 Speaker 1: So that is definitely part of the story. I think 225 00:12:47,840 --> 00:12:50,880 Speaker 1: the nature of the recovery may have particularly helped the 226 00:12:50,880 --> 00:12:54,120 Speaker 1: black men in terms of obtaining a job. So you know, 227 00:12:54,280 --> 00:12:57,960 Speaker 1: there was a big increase in consumption on goods relative 228 00:12:58,000 --> 00:13:02,720 Speaker 1: to services last year, and that has ripple effects along 229 00:13:02,880 --> 00:13:07,720 Speaker 1: supply chains, including through e commerce and transportation and warehousing jobs, 230 00:13:07,960 --> 00:13:12,840 Speaker 1: those kinds of moving jobs, frankly that black men disproportionately hold, 231 00:13:13,000 --> 00:13:15,839 Speaker 1: So that's probably a part of the story there, though 232 00:13:15,880 --> 00:13:17,840 Speaker 1: I will also, of course note that those are not 233 00:13:17,920 --> 00:13:21,000 Speaker 1: always the best quality jobs, and so we do want 234 00:13:21,040 --> 00:13:23,520 Speaker 1: to improve them. The Department has an initiative called the 235 00:13:23,520 --> 00:13:26,480 Speaker 1: Good Jobs Initiative that's really focused on that because we're always, 236 00:13:26,760 --> 00:13:29,240 Speaker 1: you know, so worried in these recoveries about getting jobs, 237 00:13:29,240 --> 00:13:30,480 Speaker 1: and now we're at the point where we at least 238 00:13:30,520 --> 00:13:32,920 Speaker 1: get a chance to think about are these good jobs? 239 00:13:33,280 --> 00:13:36,120 Speaker 1: How can we give people choices um in this labor market? 240 00:13:36,440 --> 00:13:37,920 Speaker 1: So do you think that that's certainly a part of 241 00:13:37,920 --> 00:13:41,160 Speaker 1: it in terms of locking in gains. That is a 242 00:13:41,280 --> 00:13:44,240 Speaker 1: huge policy question and policy priority for us at the 243 00:13:44,240 --> 00:13:46,520 Speaker 1: Department of Labor, in part because we want to make 244 00:13:46,520 --> 00:13:49,000 Speaker 1: sure that workers have rights, they have protections through of 245 00:13:49,040 --> 00:13:54,360 Speaker 1: course enforcement, whether it's discrimination issues, wage theft, etcetera. We 246 00:13:54,400 --> 00:13:56,600 Speaker 1: also want to make sure that workers who want jobs 247 00:13:56,640 --> 00:14:01,520 Speaker 1: have pathways. Sometimes you know, you don't have these clear 248 00:14:01,559 --> 00:14:04,080 Speaker 1: pathways to jobs based off where you live, you know, 249 00:14:04,120 --> 00:14:07,280 Speaker 1: based off of your social network, etcetera. And so you know, 250 00:14:07,400 --> 00:14:11,080 Speaker 1: creating pathways for training, apprenticeships, connections to employers who offer 251 00:14:11,160 --> 00:14:14,360 Speaker 1: good jobs is also really important part of lucking and games. 252 00:14:14,559 --> 00:14:16,680 Speaker 1: And then of course, you know, ensuring that workers do 253 00:14:16,760 --> 00:14:18,800 Speaker 1: have power when they're on the job. This is an 254 00:14:18,840 --> 00:14:22,840 Speaker 1: administration that cares deeply about supporting workers choice to join 255 00:14:22,880 --> 00:14:25,880 Speaker 1: a union if they want to. And Tracy just looking 256 00:14:26,040 --> 00:14:29,360 Speaker 1: at the charge here. You know, in summer, so basically 257 00:14:29,440 --> 00:14:33,280 Speaker 1: like over four years after like the financial crisis started, 258 00:14:33,320 --> 00:14:36,960 Speaker 1: the gap between white and black unemployment was seven points 259 00:14:36,960 --> 00:14:40,600 Speaker 1: six percent. Today is down to two point nine percent. 260 00:14:40,720 --> 00:14:43,360 Speaker 1: So the speed with which this isn't compressed, which often 261 00:14:43,400 --> 00:14:45,920 Speaker 1: happens in a in a business cycle as it goes on, 262 00:14:46,120 --> 00:14:48,960 Speaker 1: is just clearly much faster than anything we saw in 263 00:14:49,000 --> 00:14:52,600 Speaker 1: the past. This kind of leads into another question. So, 264 00:14:53,120 --> 00:14:58,680 Speaker 1: if black men are disproportionately present in industries like warehouse 265 00:14:58,760 --> 00:15:02,360 Speaker 1: or warehousing, aren't transportation and things like that, do you 266 00:15:02,440 --> 00:15:05,840 Speaker 1: worry that those gains won't be sustainable if we do 267 00:15:06,040 --> 00:15:09,080 Speaker 1: see consumers start to pull back. You know, for instance, 268 00:15:09,080 --> 00:15:11,400 Speaker 1: we've seen some of the big box retailers talk about 269 00:15:11,480 --> 00:15:14,280 Speaker 1: having too much inventory at the moment, do some of 270 00:15:14,320 --> 00:15:18,640 Speaker 1: those jobs start to look vulnerable. I mean, I wish 271 00:15:18,680 --> 00:15:23,080 Speaker 1: that this was a new story for black workers, but unfortunately, 272 00:15:23,640 --> 00:15:26,360 Speaker 1: you know, there's a I think a phenomenon that is 273 00:15:26,720 --> 00:15:29,200 Speaker 1: kind of common parlance these days, which is last five, 274 00:15:29,320 --> 00:15:34,000 Speaker 1: last hired, first fired. And so, you know, frankly, black workers, 275 00:15:34,040 --> 00:15:37,080 Speaker 1: black men and black women are often you know, the 276 00:15:37,160 --> 00:15:40,920 Speaker 1: most reliant on the labor markets strength to be able 277 00:15:40,960 --> 00:15:44,480 Speaker 1: to achieve better outcomes, and so you know, yes, I'm 278 00:15:44,480 --> 00:15:46,880 Speaker 1: always worried about, you know, making sure that they have 279 00:15:47,000 --> 00:15:50,840 Speaker 1: pathways to know better jobs, jobs that are sustainable. At 280 00:15:50,840 --> 00:15:52,960 Speaker 1: the same time, we also want to see sustained labor 281 00:15:53,000 --> 00:15:55,840 Speaker 1: market progress. As a department, we're focused on outcomes, So 282 00:15:56,120 --> 00:15:59,000 Speaker 1: wage growth that's sustainable is important here. You know, the 283 00:15:59,040 --> 00:16:03,160 Speaker 1: ability for workers to find trainings and apprenticeships and access 284 00:16:03,200 --> 00:16:05,520 Speaker 1: other jobs if they want to, especially if they're industries 285 00:16:05,560 --> 00:16:08,800 Speaker 1: where job quality isn't great, or industries that are particularly 286 00:16:08,800 --> 00:16:11,320 Speaker 1: susceptible to swings in the business cycle. And you know, 287 00:16:11,440 --> 00:16:14,040 Speaker 1: I think that that's kind of the best way to 288 00:16:14,120 --> 00:16:17,480 Speaker 1: kind of bridge that gap, to not just rely on 289 00:16:17,880 --> 00:16:20,000 Speaker 1: where we are at in the business cycle, but to 290 00:16:20,080 --> 00:16:24,400 Speaker 1: instead make investments in you know, long run growth and 291 00:16:24,440 --> 00:16:27,120 Speaker 1: making sure that the benefits of that growth is shared. 292 00:16:27,800 --> 00:16:29,600 Speaker 1: So I want to get your take. And I on 293 00:16:29,720 --> 00:16:32,400 Speaker 1: a question, and I posed this to Goldman sex as 294 00:16:32,440 --> 00:16:36,680 Speaker 1: chief economist Jan Hatzi is a few weeks ago. But okay, everyone, 295 00:16:36,840 --> 00:16:40,000 Speaker 1: tight labor market, tight labor market. We're companies having a 296 00:16:40,000 --> 00:16:42,520 Speaker 1: hard time hiring. We hear about that all the time, 297 00:16:43,120 --> 00:16:46,960 Speaker 1: and yet wage growth has been negative. And this is 298 00:16:47,040 --> 00:16:48,600 Speaker 1: and this has sort of been the frustration of a 299 00:16:48,600 --> 00:16:50,680 Speaker 1: lot of people that's like, yes, there are jobs out there, 300 00:16:50,720 --> 00:16:53,800 Speaker 1: but wages aren't keeping up with prices. If the labor 301 00:16:53,840 --> 00:16:58,320 Speaker 1: market is really so tight, why aren't workers able to command, 302 00:16:58,480 --> 00:17:01,160 Speaker 1: in your view, strong high enough wages such that they 303 00:17:01,200 --> 00:17:04,920 Speaker 1: can outpace the pace of inflation high end of raises. Sorry, 304 00:17:07,160 --> 00:17:10,720 Speaker 1: So it's absolutely an important question, And first off, I 305 00:17:10,760 --> 00:17:12,840 Speaker 1: would just say it emphasizes why it's so important to 306 00:17:12,880 --> 00:17:15,679 Speaker 1: get inflation down to a reasonable level. We saw that 307 00:17:15,760 --> 00:17:20,119 Speaker 1: in July because real wages increase the zero point flag percent, right, 308 00:17:20,200 --> 00:17:23,040 Speaker 1: because cp I was unchanged at one, which is just 309 00:17:23,040 --> 00:17:24,800 Speaker 1: one measure of inflation, but it was unchanged for the 310 00:17:24,880 --> 00:17:27,320 Speaker 1: month of July UM and so so I think that 311 00:17:27,320 --> 00:17:30,960 Speaker 1: that's a very important piece of the puzzle in part 312 00:17:31,000 --> 00:17:33,800 Speaker 1: because you know, workers can feel when the cost of 313 00:17:33,840 --> 00:17:36,200 Speaker 1: living isn't up to you know, what they would like 314 00:17:36,280 --> 00:17:39,760 Speaker 1: it to be. It's important too, I think, to think 315 00:17:39,800 --> 00:17:42,760 Speaker 1: about some of the mechanisms by which sustained increases happen. 316 00:17:43,160 --> 00:17:46,159 Speaker 1: One and also to think about the labor market not 317 00:17:46,320 --> 00:17:49,920 Speaker 1: is just like this aggregate you know phenomenon, but actually 318 00:17:50,480 --> 00:17:52,720 Speaker 1: a lot of different sectors industries that interact and that 319 00:17:52,800 --> 00:17:56,560 Speaker 1: have different kind of needs and different standards for their workers. 320 00:17:56,800 --> 00:17:59,160 Speaker 1: So at like a kind of big picture, you know level, 321 00:17:59,320 --> 00:18:02,840 Speaker 1: you know, the mechanisms by which sustained wage increases happen 322 00:18:02,880 --> 00:18:04,840 Speaker 1: in the long run or not just a tight labor market, 323 00:18:04,920 --> 00:18:08,240 Speaker 1: though we're seeing that in this labor market, new workers 324 00:18:08,280 --> 00:18:10,640 Speaker 1: have choice, they get bargaining power and switching jobs it's 325 00:18:10,640 --> 00:18:12,840 Speaker 1: a good way to get a wage increase UM. But 326 00:18:12,880 --> 00:18:16,840 Speaker 1: there's also mechanisms that are important, like you know, having 327 00:18:16,960 --> 00:18:20,520 Speaker 1: bargaining power, whether it's through unions or some other collective 328 00:18:20,520 --> 00:18:24,440 Speaker 1: action mechanism that allows you to negotiate changes in your 329 00:18:24,440 --> 00:18:27,840 Speaker 1: employment contract like cost of living increases UM. So cola 330 00:18:27,920 --> 00:18:30,800 Speaker 1: contract cola clauses and clauses and contracts can help there 331 00:18:30,960 --> 00:18:33,240 Speaker 1: so that's another thing that we're just not seeing quite 332 00:18:33,240 --> 00:18:36,200 Speaker 1: the same level of in part because as the undensity decline, 333 00:18:36,240 --> 00:18:38,679 Speaker 1: the prevalence of cola contract and cola clauses and contracts 334 00:18:38,720 --> 00:18:41,080 Speaker 1: also declined. UM. So there are some of the typical 335 00:18:41,080 --> 00:18:44,280 Speaker 1: mechanisms that may have existed decades ago, um that allow 336 00:18:44,320 --> 00:18:48,440 Speaker 1: workers to have power enough power to negotiate wage increases 337 00:18:48,480 --> 00:18:51,960 Speaker 1: that top inflation mechanically, UM, that just aren't quite there 338 00:18:52,000 --> 00:18:54,960 Speaker 1: in the same way. And then the last piece I 339 00:18:54,960 --> 00:18:57,080 Speaker 1: will say is that I do think this question also 340 00:18:57,160 --> 00:19:00,360 Speaker 1: varies by sector, in part because we're seeing I think 341 00:19:00,359 --> 00:19:02,600 Speaker 1: the New York Fed actually had a publication on this 342 00:19:03,280 --> 00:19:08,040 Speaker 1: where the sectors that are the farthest from full recovery, 343 00:19:08,160 --> 00:19:12,919 Speaker 1: so the farthest below their February employment level, are the 344 00:19:12,960 --> 00:19:15,959 Speaker 1: ones where we're seeing the highest wage growth. Those are 345 00:19:15,960 --> 00:19:18,879 Speaker 1: also the sectors where you know, labor costs are a 346 00:19:18,960 --> 00:19:22,199 Speaker 1: higher share of total firm costs, And so there's a 347 00:19:22,320 --> 00:19:25,520 Speaker 1: different story bisector. It's not just like an aggregate wage 348 00:19:25,520 --> 00:19:28,119 Speaker 1: growth figure that we often see that reported in the news. 349 00:19:29,040 --> 00:19:32,000 Speaker 1: Can you talk a little bit more about how some 350 00:19:32,160 --> 00:19:36,840 Speaker 1: of the videos syncrasies around the pandemic have impacted the 351 00:19:36,880 --> 00:19:39,600 Speaker 1: labor market and whether or not you still see those 352 00:19:39,640 --> 00:19:42,880 Speaker 1: as forces UM affecting the labor market as a whole. 353 00:19:42,880 --> 00:19:46,399 Speaker 1: And I'm thinking specifically of things like the p p P, 354 00:19:46,800 --> 00:19:51,800 Speaker 1: the paycheck Protection program UM, and also of course the 355 00:19:51,880 --> 00:19:55,159 Speaker 1: impact of COVID itself and people who may have to 356 00:19:55,160 --> 00:19:58,280 Speaker 1: stay out of the workforce because they're taking care of 357 00:19:58,560 --> 00:20:02,080 Speaker 1: people who are ill or those who have unfortunately incurred 358 00:20:02,119 --> 00:20:06,480 Speaker 1: things like long COVID. How are those affecting the labor market. 359 00:20:06,520 --> 00:20:10,280 Speaker 1: Is there still a big effect from things like that, 360 00:20:10,280 --> 00:20:13,280 Speaker 1: That's a great question. I think there are a few 361 00:20:13,280 --> 00:20:14,720 Speaker 1: things that I think about when I think about the 362 00:20:14,760 --> 00:20:18,479 Speaker 1: effects of COVID, you know, on the labor market. You know, first, 363 00:20:18,560 --> 00:20:21,200 Speaker 1: I think this will be the subject of maybe one 364 00:20:21,240 --> 00:20:24,840 Speaker 1: thousand research papers in the coming coming years, especially the 365 00:20:24,880 --> 00:20:28,879 Speaker 1: relationship between the federal policy response and the labor market today. 366 00:20:28,920 --> 00:20:31,720 Speaker 1: But we do know righte that strong federal policy response 367 00:20:31,800 --> 00:20:35,520 Speaker 1: kept incomes relatively unchanged or by some measures that improved 368 00:20:35,520 --> 00:20:38,200 Speaker 1: on average, and so that was really important because the 369 00:20:38,240 --> 00:20:41,200 Speaker 1: income can translate into spending, which can translate into job creation. 370 00:20:41,400 --> 00:20:44,280 Speaker 1: On the small business response, this seemed to be particularly 371 00:20:44,320 --> 00:20:47,160 Speaker 1: helpful early on in the labor market recovery, because there's 372 00:20:47,200 --> 00:20:51,000 Speaker 1: been studies that have found that, you know, small business relief, 373 00:20:51,000 --> 00:20:55,879 Speaker 1: particularly PPP, helped increase employment, in particular through increasing the 374 00:20:55,920 --> 00:20:58,720 Speaker 1: percentage of workers who were recalled from layoffs. We also 375 00:20:58,760 --> 00:21:02,159 Speaker 1: know that leofs were a big of unemployment early in 376 00:21:02,200 --> 00:21:05,600 Speaker 1: the pandemic recession. UM so I do think that there's 377 00:21:05,840 --> 00:21:09,199 Speaker 1: some clear things about not just the pandemic but the 378 00:21:09,240 --> 00:21:12,240 Speaker 1: response to the pandemic that have impacted the labor market today. 379 00:21:12,440 --> 00:21:15,840 Speaker 1: Their persistence, I think is is unclear to me at 380 00:21:15,880 --> 00:21:18,479 Speaker 1: this point. But we did just see five thousand new 381 00:21:18,520 --> 00:21:21,360 Speaker 1: jobs at it last month, and so I'm not sure 382 00:21:21,359 --> 00:21:23,400 Speaker 1: if that question will come to a head just yet. 383 00:21:23,920 --> 00:21:26,200 Speaker 1: On some of the other trends that I think are 384 00:21:26,200 --> 00:21:29,359 Speaker 1: really important in the labor market because of the pandemic. No, 385 00:21:29,720 --> 00:21:32,560 Speaker 1: one piece that we haven't talked about yet, I think 386 00:21:32,680 --> 00:21:36,160 Speaker 1: is is productivity. And so you know, I think there's 387 00:21:36,200 --> 00:21:40,160 Speaker 1: been a really healthy debate around what is happening with 388 00:21:40,520 --> 00:21:43,800 Speaker 1: labor market productivity. You know, it's both a statistical phenomenon 389 00:21:43,840 --> 00:21:47,840 Speaker 1: output over hours worked, as well as a real economic phenomenon. 390 00:21:48,240 --> 00:21:51,080 Speaker 1: So you know, our ability to produce more given the 391 00:21:51,119 --> 00:21:53,959 Speaker 1: same inputs, including workers producing more with the same effort 392 00:21:54,280 --> 00:21:57,119 Speaker 1: and on both friends. It's hard to measure this monthly 393 00:21:57,200 --> 00:21:59,760 Speaker 1: or even the quarterly changes that we get because there's 394 00:21:59,800 --> 00:22:01,960 Speaker 1: so much that can swing month a month in terms 395 00:22:01,960 --> 00:22:04,880 Speaker 1: of business investment, in hiring um and yearly data is better, 396 00:22:04,880 --> 00:22:06,840 Speaker 1: so I will caveat with that, but I do think 397 00:22:06,840 --> 00:22:09,720 Speaker 1: that it does raise some some questions and there has 398 00:22:09,760 --> 00:22:11,720 Speaker 1: been some interesting research on that front that I think 399 00:22:11,760 --> 00:22:15,040 Speaker 1: is worth noting. One around, just like the way in 400 00:22:15,040 --> 00:22:17,480 Speaker 1: which the pandemic may be affecting these kind of short 401 00:22:17,600 --> 00:22:21,040 Speaker 1: term prints on productivity that we're getting, so you know, 402 00:22:21,320 --> 00:22:25,240 Speaker 1: there could be uh, it could be possible that, for instance, 403 00:22:25,280 --> 00:22:28,360 Speaker 1: you know, productivity rose above trend in one as businesses 404 00:22:28,400 --> 00:22:30,800 Speaker 1: produced more with fewer workers, and that we're you know, 405 00:22:30,840 --> 00:22:34,360 Speaker 1: now kind of recalibrating where businesses are hiring more workers 406 00:22:34,600 --> 00:22:38,080 Speaker 1: and workers aren't average producing or working fewer hours. So 407 00:22:38,200 --> 00:22:42,600 Speaker 1: output is you know, roughly constant or slightly negative. And 408 00:22:42,600 --> 00:22:44,800 Speaker 1: then there's also you know, something else that could have happened, 409 00:22:44,800 --> 00:22:48,520 Speaker 1: which is frankly that you know, during the pandemic, businesses 410 00:22:48,520 --> 00:22:51,359 Speaker 1: operated with fewer workers because sick workers also affected overall 411 00:22:51,480 --> 00:22:54,480 Speaker 1: from productivity, or frankly, workers were clocking the same number 412 00:22:54,520 --> 00:22:57,160 Speaker 1: of hours but working less because of supply chain disruptions. 413 00:22:57,640 --> 00:22:59,560 Speaker 1: And then finally, you know, it could be a compositional 414 00:22:59,560 --> 00:23:03,640 Speaker 1: effect where right now we're seeing you know, stronger employment 415 00:23:03,640 --> 00:23:07,200 Speaker 1: gains in lower productivity sectors like leisure and hospitality. That 416 00:23:07,240 --> 00:23:09,040 Speaker 1: does not, of course mean those workers are not valuable. 417 00:23:09,080 --> 00:23:12,280 Speaker 1: I just mean in macro terms, and so that could 418 00:23:12,320 --> 00:23:14,760 Speaker 1: just be shifting the overall productivity numbers, and I think 419 00:23:14,800 --> 00:23:16,800 Speaker 1: that's important in the short run. But then on the 420 00:23:16,880 --> 00:23:21,199 Speaker 1: long term there are also possibly meaningful changes on the 421 00:23:21,359 --> 00:23:25,240 Speaker 1: kind of you know, productivity as a real economic phenomenon, 422 00:23:25,240 --> 00:23:27,040 Speaker 1: because before I think I was talking about more as 423 00:23:27,040 --> 00:23:29,280 Speaker 1: like a statistical phenomenon, but here as like a real 424 00:23:29,359 --> 00:23:33,640 Speaker 1: economic phenomenon, So things like the effects of work from 425 00:23:33,680 --> 00:23:36,480 Speaker 1: home or automation that might have taken place in workplaces 426 00:23:36,520 --> 00:23:39,119 Speaker 1: due to safety or labor supply concerns. And so I 427 00:23:39,160 --> 00:23:42,479 Speaker 1: think there are some real questions here that are are 428 00:23:42,560 --> 00:23:46,399 Speaker 1: yet to be you know, completely sorted out, but I 429 00:23:46,400 --> 00:23:48,560 Speaker 1: think are really important and a big part of how 430 00:23:48,600 --> 00:23:51,480 Speaker 1: I'm thinking about the labor market, in part because productivity 431 00:23:51,520 --> 00:23:53,760 Speaker 1: is so important for making sure wage growth is sustainable 432 00:23:53,760 --> 00:23:56,200 Speaker 1: for workers. And at the Department of labor. We just 433 00:23:56,280 --> 00:23:58,480 Speaker 1: really want to see workers get paid what they're do. Yeah, 434 00:23:58,520 --> 00:24:01,080 Speaker 1: I mean one thing in their hip been corporate executive 435 00:24:01,160 --> 00:24:04,560 Speaker 1: talking about this on conference calls Neil Data, Renaissance Macro 436 00:24:04,760 --> 00:24:07,720 Speaker 1: has flagged this, Like, I wonder if part of the 437 00:24:07,760 --> 00:24:10,600 Speaker 1: productivity story is like if a bunch of people just 438 00:24:10,640 --> 00:24:14,919 Speaker 1: started jobs relatively recently, Like no one is particularly productive 439 00:24:14,960 --> 00:24:17,080 Speaker 1: in their first month at a new job, and that's 440 00:24:17,119 --> 00:24:19,520 Speaker 1: slightly exaggeration. Not everyone is at their first month, but 441 00:24:19,600 --> 00:24:23,240 Speaker 1: in a period of a lot of labor market churn 442 00:24:23,440 --> 00:24:25,240 Speaker 1: and new hiring, and you mentioned that half a million 443 00:24:25,320 --> 00:24:27,600 Speaker 1: jobs that were created last month, whether we still are 444 00:24:27,640 --> 00:24:29,399 Speaker 1: just in this sort of state of flux in which 445 00:24:29,600 --> 00:24:32,480 Speaker 1: we haven't gotten into sort of people finding their groove 446 00:24:32,560 --> 00:24:35,720 Speaker 1: and businesses operating at a predictable clip again, I mean, 447 00:24:35,720 --> 00:24:37,880 Speaker 1: that seems like a reasonable theory to me, and it's 448 00:24:38,040 --> 00:24:40,119 Speaker 1: kind of plays into the composition piece that I mentioned 449 00:24:40,119 --> 00:24:42,520 Speaker 1: about workers who are coming online and how that affects 450 00:24:42,520 --> 00:24:45,399 Speaker 1: the top line figures. So there's one other thing that 451 00:24:45,440 --> 00:24:48,520 Speaker 1: we haven't really spoken about yet, and that's the wealth effect. 452 00:24:48,680 --> 00:24:51,040 Speaker 1: So this was also, you know, a pet theory of 453 00:24:51,080 --> 00:24:53,200 Speaker 1: the past couple of years. When it comes to explaining 454 00:24:53,359 --> 00:24:57,440 Speaker 1: lower participation rates. The idea that well, you know, maybe 455 00:24:57,440 --> 00:24:59,760 Speaker 1: if you're older, or even if you're not older, but 456 00:25:00,040 --> 00:25:02,679 Speaker 1: say you invested a lot in crypto or something like 457 00:25:02,720 --> 00:25:05,440 Speaker 1: that a year ago, or how to house it right, 458 00:25:05,920 --> 00:25:09,280 Speaker 1: or a stock portfolio or whatever. If you saw a 459 00:25:09,359 --> 00:25:13,200 Speaker 1: lot of gains in those financial assets, you might think, well, 460 00:25:13,400 --> 00:25:16,719 Speaker 1: it's not really worth working anymore. I can sit this 461 00:25:16,760 --> 00:25:20,080 Speaker 1: one out, you know, wait for COVID maybe to blow over, 462 00:25:20,440 --> 00:25:22,959 Speaker 1: and then rejoin the workforce if I want to, or not, 463 00:25:23,119 --> 00:25:26,040 Speaker 1: if I'm financially able to sit it out. How are 464 00:25:26,040 --> 00:25:29,199 Speaker 1: you viewing that kind of wealth effect? Is that a 465 00:25:29,240 --> 00:25:33,199 Speaker 1: tangible thing in your opinion? It certainly makes sense on 466 00:25:33,240 --> 00:25:35,960 Speaker 1: the surface, and I think it's part of what's enabling 467 00:25:36,200 --> 00:25:40,520 Speaker 1: workers to have some choice in the labor market. They 468 00:25:40,520 --> 00:25:42,720 Speaker 1: didn't have to rush back to a job that wasn't 469 00:25:42,920 --> 00:25:46,560 Speaker 1: their ideal job, So there's some increasing worker power that's 470 00:25:46,560 --> 00:25:50,480 Speaker 1: happening there. I am, on the surface, at least skeptical 471 00:25:50,520 --> 00:25:53,119 Speaker 1: of it being a long run challenge, in part because 472 00:25:53,760 --> 00:25:56,400 Speaker 1: you know, savings can run out, especially for workers who 473 00:25:56,400 --> 00:25:58,199 Speaker 1: don't have a lot of wealth, which is frankly a 474 00:25:58,200 --> 00:26:01,000 Speaker 1: lot of workers, and and also in heart, because so 475 00:26:01,119 --> 00:26:04,680 Speaker 1: much about our financial well being as Americans is reliant on, 476 00:26:05,359 --> 00:26:08,159 Speaker 1: you know, our job, not just the check paychecks we 477 00:26:08,240 --> 00:26:11,879 Speaker 1: take home, but also things like health insurance and retirement 478 00:26:11,880 --> 00:26:14,040 Speaker 1: benefits if we are fortunate enough to have a job 479 00:26:14,119 --> 00:26:16,960 Speaker 1: or we have those. And so at a certain point, 480 00:26:17,240 --> 00:26:19,960 Speaker 1: that kind of strategy will not work well for a 481 00:26:20,000 --> 00:26:24,600 Speaker 1: significant chunk of workers, even if it does help workers today, 482 00:26:25,040 --> 00:26:28,160 Speaker 1: I'm on the whole have more bargaining power. So how 483 00:26:28,240 --> 00:26:31,840 Speaker 1: concerned are you that? You know, we do have very 484 00:26:31,920 --> 00:26:35,600 Speaker 1: high inflation still, and the Fed is in tightening mode, 485 00:26:35,720 --> 00:26:40,960 Speaker 1: and the mechanism, more or less people dance around it 486 00:26:40,960 --> 00:26:43,160 Speaker 1: a little bit sometimes, but the mechanism more or less 487 00:26:43,240 --> 00:26:46,159 Speaker 1: to combating inflation through rate hikes is to weaken the 488 00:26:46,240 --> 00:26:49,560 Speaker 1: labor market, weaken wage growth, and hope that that's sort 489 00:26:49,560 --> 00:26:51,879 Speaker 1: of like slowest things down. And maybe there's this hope 490 00:26:52,240 --> 00:26:54,520 Speaker 1: that we can take care of most of it just 491 00:26:54,520 --> 00:26:57,600 Speaker 1: by reducing job openings and relieving some of the pressure there. 492 00:26:57,600 --> 00:27:00,879 Speaker 1: But how concerned are you? A followed like some of 493 00:27:00,920 --> 00:27:05,080 Speaker 1: these gains that we've talked about unwinding as part of 494 00:27:05,119 --> 00:27:08,840 Speaker 1: the anti inflation efforts. So I first must start off 495 00:27:08,880 --> 00:27:13,840 Speaker 1: with an awkward disclaimer, which is I have full respect, 496 00:27:13,920 --> 00:27:16,639 Speaker 1: as this administration does for the FEDS independence on these issues. 497 00:27:16,640 --> 00:27:19,560 Speaker 1: So I will not comment on FED policy. Okay, Um, 498 00:27:19,800 --> 00:27:23,760 Speaker 1: So I think a few things. One, I think this 499 00:27:23,840 --> 00:27:26,440 Speaker 1: is why it's so important to see sustainable wage growth 500 00:27:26,480 --> 00:27:31,199 Speaker 1: in the labor market, to see participation increase and to 501 00:27:31,240 --> 00:27:33,879 Speaker 1: see wage growth, you know, reflecting the values work, the 502 00:27:33,960 --> 00:27:36,280 Speaker 1: value that workers bring to business. Like I want to 503 00:27:36,320 --> 00:27:38,000 Speaker 1: see wage growth, of course, I want to see sustainable 504 00:27:38,040 --> 00:27:42,439 Speaker 1: wage growth. I also, you know, I'm really fascinated by slash. 505 00:27:42,440 --> 00:27:46,040 Speaker 1: I've been following this really important debate in macro economics. 506 00:27:46,080 --> 00:27:49,600 Speaker 1: I'm macro economist, so I will fully fully claim that 507 00:27:49,600 --> 00:27:54,720 Speaker 1: I am just following it around. You know, wow, how 508 00:27:54,800 --> 00:27:58,560 Speaker 1: we might land softly? How we might actually achieve a 509 00:27:58,600 --> 00:28:03,920 Speaker 1: soft landing here? And it really does seem like there 510 00:28:03,920 --> 00:28:06,280 Speaker 1: are a few ways things can go, but it doesn't 511 00:28:06,280 --> 00:28:11,159 Speaker 1: seem completely improbable. Um in part because frankly, as you 512 00:28:11,200 --> 00:28:14,480 Speaker 1: all know, as observers of this debate as well, there's 513 00:28:14,520 --> 00:28:17,520 Speaker 1: a lot of wonky signals out there in terms of 514 00:28:17,520 --> 00:28:21,600 Speaker 1: what's going on in the macroeconomy. We saw three consecutive 515 00:28:21,600 --> 00:28:24,000 Speaker 1: months of job openings decline without major movement and the 516 00:28:24,040 --> 00:28:27,760 Speaker 1: unemployment rate, which again it's it's premature to say there 517 00:28:27,760 --> 00:28:30,520 Speaker 1: we go, mission accomplished. But you know, things could go 518 00:28:30,560 --> 00:28:32,359 Speaker 1: a lot of different ways. We could see a vertical 519 00:28:32,400 --> 00:28:36,080 Speaker 1: fallen job openings, and things might work out the beverage curve, 520 00:28:36,119 --> 00:28:39,240 Speaker 1: which is what I'm referencing unemployment rates to vacancy ratio. 521 00:28:39,640 --> 00:28:41,840 Speaker 1: It could shift back to where it was in prior recoveries, 522 00:28:41,840 --> 00:28:44,000 Speaker 1: and then we might be in a different situation. Um. 523 00:28:44,040 --> 00:28:46,360 Speaker 1: I think this debate is really healthy. I think it's important. 524 00:28:46,840 --> 00:28:49,120 Speaker 1: I don't pretend to have an opinion on it. I'm 525 00:28:49,160 --> 00:28:52,400 Speaker 1: mostly focused on outcomes for workers here. But it does 526 00:28:52,440 --> 00:28:56,240 Speaker 1: seem like, you know, it's really worthwhile to try to 527 00:28:56,280 --> 00:28:59,040 Speaker 1: do all we can to make sure we get cost 528 00:28:59,080 --> 00:29:01,800 Speaker 1: down and try to get on a sustainable path in 529 00:29:01,880 --> 00:29:04,200 Speaker 1: terms of the labor market and the economy overall. It 530 00:29:04,200 --> 00:29:07,040 Speaker 1: doesn't seem like a full serrand. Yeah. I just remembered 531 00:29:07,040 --> 00:29:09,520 Speaker 1: we've actually done a whole episode on shifts in the 532 00:29:09,560 --> 00:29:12,360 Speaker 1: beverage curve, haven't we. Oh yeah, yeah, although that was 533 00:29:12,440 --> 00:29:15,760 Speaker 1: last year. But okay, So on this note though, and 534 00:29:15,840 --> 00:29:18,960 Speaker 1: you know, I take the point that you're not involved 535 00:29:19,000 --> 00:29:21,080 Speaker 1: in this debate specifically but I'm wondering if you could 536 00:29:21,080 --> 00:29:26,400 Speaker 1: talk generally about the impact of online job searches on 537 00:29:26,800 --> 00:29:30,160 Speaker 1: labor market data and statistics, because this is also one 538 00:29:30,160 --> 00:29:32,840 Speaker 1: of the pet theories for why that beverage curve relationship 539 00:29:32,920 --> 00:29:35,800 Speaker 1: might be changing, which is that it's much easier for 540 00:29:35,840 --> 00:29:39,160 Speaker 1: companies to just post a bunch of job openings somewhere 541 00:29:39,200 --> 00:29:42,600 Speaker 1: online and you know, maybe hope and wait that they'll 542 00:29:42,640 --> 00:29:45,360 Speaker 1: get a really good candidate, but they don't have to 543 00:29:45,400 --> 00:29:50,479 Speaker 1: accept anyone. So there's this discussion point that maybe online 544 00:29:50,560 --> 00:29:54,360 Speaker 1: job searches are kind of skewing that data. I think 545 00:29:54,360 --> 00:29:58,400 Speaker 1: that that's a very valid theory. If the cost of 546 00:29:58,520 --> 00:30:01,960 Speaker 1: job postings is go going down, especially due to technology 547 00:30:02,000 --> 00:30:05,280 Speaker 1: like the ability to post online, then you would expect 548 00:30:05,280 --> 00:30:07,840 Speaker 1: employers to, you know, to go fishing a little bit more, 549 00:30:07,880 --> 00:30:10,320 Speaker 1: and even if they're not always interested in catching a fish, 550 00:30:10,360 --> 00:30:13,520 Speaker 1: and so you might see you know, slightly elevated job 551 00:30:13,560 --> 00:30:17,160 Speaker 1: opening I think as the Bureau of Labor statistic defines that, 552 00:30:17,320 --> 00:30:19,360 Speaker 1: you know, they are running a survey by which they're 553 00:30:19,560 --> 00:30:21,960 Speaker 1: during which they're actively asking employers, you know, is this 554 00:30:22,000 --> 00:30:24,720 Speaker 1: an opening that you were actively hiring for now, there's 555 00:30:24,720 --> 00:30:27,400 Speaker 1: probably a lot of room for interpretation there, but you know, 556 00:30:27,720 --> 00:30:30,560 Speaker 1: by the Department of Labor Standards, you know, we're doing 557 00:30:30,560 --> 00:30:33,680 Speaker 1: our best to try to measure job openings for which 558 00:30:33,720 --> 00:30:37,040 Speaker 1: employers are trying to fill a job versus you know, 559 00:30:37,120 --> 00:30:41,200 Speaker 1: this kind of more passive approach to looking for for 560 00:30:41,240 --> 00:30:45,360 Speaker 1: workers that might happen if job openings are less costly. 561 00:30:45,960 --> 00:30:48,560 Speaker 1: I think something else that's really interesting about you know, 562 00:30:48,640 --> 00:30:51,600 Speaker 1: the job openings data is that it may also and 563 00:30:51,640 --> 00:30:53,920 Speaker 1: I think this is bearing out with data, it also 564 00:30:54,000 --> 00:30:57,680 Speaker 1: might just reflect some shift in preferences to So some 565 00:30:57,760 --> 00:31:01,960 Speaker 1: of the highest job opening levels by sector are the 566 00:31:02,000 --> 00:31:06,600 Speaker 1: service sector job openings, so you know, retail, trade, healthcare, 567 00:31:06,840 --> 00:31:11,040 Speaker 1: food services, and accommodations. Especially food services and accommodations was 568 00:31:11,120 --> 00:31:15,440 Speaker 1: kind of skyrocketed right when the recovery began, in part 569 00:31:15,480 --> 00:31:18,440 Speaker 1: probably because there's a high exposure risk to COVID if 570 00:31:18,440 --> 00:31:21,160 Speaker 1: you work those jobs um and lower wages. Those those 571 00:31:21,200 --> 00:31:23,640 Speaker 1: wages are rising really fast, and so you know, some 572 00:31:23,760 --> 00:31:26,040 Speaker 1: of the opening data, again I'd like to emphasize the 573 00:31:26,040 --> 00:31:28,240 Speaker 1: sick told differences because they tell you an additional story 574 00:31:28,800 --> 00:31:31,200 Speaker 1: may also be influenced by where workers are trying to 575 00:31:31,240 --> 00:31:34,840 Speaker 1: actually search for work and filled jobs, especially those lower 576 00:31:34,840 --> 00:31:38,400 Speaker 1: SCIPE workers who may have slightly better opportunity in this 577 00:31:38,440 --> 00:31:58,239 Speaker 1: tightly moment. What's the Inflation Reduction Act going to mean 578 00:31:58,320 --> 00:32:03,320 Speaker 1: for workers? Um, a number of things. I'm like, oh, 579 00:32:03,360 --> 00:32:07,400 Speaker 1: I'd love to talk about that. So, you know, we 580 00:32:07,400 --> 00:32:11,840 Speaker 1: were talking earlier about the real wage growth, and I 581 00:32:11,840 --> 00:32:15,200 Speaker 1: think that the Inflation Reduction Act is really important because 582 00:32:15,960 --> 00:32:18,520 Speaker 1: you know, we're seeing the impact of inflation on real wages, 583 00:32:18,520 --> 00:32:21,520 Speaker 1: and it highlights the broader importance of lowering the cost 584 00:32:21,600 --> 00:32:25,239 Speaker 1: of living overall. Inflation Reduction Act is doing that by 585 00:32:25,320 --> 00:32:27,680 Speaker 1: tackling some of the real cost of living challenges that 586 00:32:27,680 --> 00:32:30,720 Speaker 1: Americans feel now, of course especially at the pump part 587 00:32:30,720 --> 00:32:33,760 Speaker 1: of the grocery store, but they're also long standing challenges, 588 00:32:33,800 --> 00:32:36,600 Speaker 1: so bringing down energy costs, healthcare costs, you know, the 589 00:32:36,640 --> 00:32:40,360 Speaker 1: high costs for prescription drugs, because you know, those are 590 00:32:40,400 --> 00:32:43,040 Speaker 1: all things that workers have to pay for with the 591 00:32:43,080 --> 00:32:45,840 Speaker 1: wages that they are earning. And so when I think 592 00:32:45,840 --> 00:32:48,080 Speaker 1: about the Inflation Reduction Act and I think about, you know, 593 00:32:48,120 --> 00:32:50,840 Speaker 1: improving the cost of living, I think about workers who 594 00:32:50,880 --> 00:32:53,400 Speaker 1: are going to have paychecks that that stretch a little 595 00:32:53,440 --> 00:32:57,120 Speaker 1: farther than they did before. Actually just you know, sort 596 00:32:57,120 --> 00:32:58,719 Speaker 1: of in general, and I know, you know, we were 597 00:32:58,720 --> 00:33:01,280 Speaker 1: talking about the FED. But in your work and in 598 00:33:01,320 --> 00:33:03,600 Speaker 1: your day to day and at the Department of Labor, 599 00:33:04,120 --> 00:33:08,400 Speaker 1: how much are you thinking about essentially, And again, you know, 600 00:33:09,000 --> 00:33:12,880 Speaker 1: the White House just signed something called the Inflation Reduction Act, 601 00:33:13,160 --> 00:33:15,880 Speaker 1: But how much are you thinking generally about this idea 602 00:33:15,880 --> 00:33:20,960 Speaker 1: of of non monetary efforts to reduce inflation, both through 603 00:33:21,040 --> 00:33:24,520 Speaker 1: the law but other through other regulations, finding ways to 604 00:33:24,800 --> 00:33:28,880 Speaker 1: relieve pressures, finding ways to expand the supply side, finding 605 00:33:28,920 --> 00:33:32,840 Speaker 1: ways to bring about productivity so that we have other 606 00:33:32,960 --> 00:33:36,240 Speaker 1: ways of fighting inflation other than just the raid hike 607 00:33:36,320 --> 00:33:39,600 Speaker 1: layoff channel. Well, I frankly think about it as things 608 00:33:39,600 --> 00:33:43,520 Speaker 1: that we should be doing no matter what. To be 609 00:33:43,600 --> 00:33:47,080 Speaker 1: completely honest, you know, we were talking about the labor 610 00:33:47,080 --> 00:33:50,440 Speaker 1: force participation rate, and you know, increasing labor supply is 611 00:33:50,480 --> 00:33:53,800 Speaker 1: important to along one growth of the U. S economy, 612 00:33:54,040 --> 00:33:58,520 Speaker 1: creating new high quality jobs here at home, including in manufacturing, 613 00:33:58,520 --> 00:34:01,280 Speaker 1: which the Inflation Reduction Act would do, clean energy manufacturing 614 00:34:01,280 --> 00:34:04,200 Speaker 1: in particular. It is important for the growth of the economy. 615 00:34:04,240 --> 00:34:06,760 Speaker 1: I mean, it also is important for bringing down the 616 00:34:06,840 --> 00:34:10,440 Speaker 1: cost of energy. It's also important for growing the economy 617 00:34:10,480 --> 00:34:13,799 Speaker 1: because you know, if we have a bigger pie, and 618 00:34:13,840 --> 00:34:16,399 Speaker 1: we you know, to grow that pie in a way 619 00:34:16,440 --> 00:34:18,239 Speaker 1: that is shared, so workers have more powers, so they 620 00:34:18,280 --> 00:34:20,239 Speaker 1: get a bigger piece of that pie. You know, that 621 00:34:20,320 --> 00:34:23,880 Speaker 1: has the bonus of both, you know, growing use economy, 622 00:34:23,920 --> 00:34:27,560 Speaker 1: increasing productivity. Everyone benefits from higher living standards um and 623 00:34:27,600 --> 00:34:30,080 Speaker 1: you know, American workers have again, like I was saying before, 624 00:34:30,120 --> 00:34:32,480 Speaker 1: paychecks that stretch a little bit farther, or they get 625 00:34:32,480 --> 00:34:33,920 Speaker 1: a chance to get a job in a sector that 626 00:34:33,880 --> 00:34:36,680 Speaker 1: they could not work in before. I'm taking home a 627 00:34:36,680 --> 00:34:39,680 Speaker 1: bigger paycheck that comes with you know, strong worker protections 628 00:34:39,760 --> 00:34:42,480 Speaker 1: and maybe retirement benefits, healthcare, all the things that a 629 00:34:42,480 --> 00:34:45,360 Speaker 1: lot of workers need. I have a basic question, or 630 00:34:45,360 --> 00:34:48,400 Speaker 1: maybe it's a weird question, but what's the impact of 631 00:34:48,760 --> 00:34:53,200 Speaker 1: inflation on labor force participation? Because I could see I 632 00:34:53,239 --> 00:34:57,160 Speaker 1: could kind of see a way to argue it both ways, 633 00:34:57,239 --> 00:34:59,520 Speaker 1: which is, you know, on the one hand, if the 634 00:34:59,520 --> 00:35:01,239 Speaker 1: cost of live thing is going up and you can 635 00:35:01,280 --> 00:35:04,720 Speaker 1: no longer afford, for instance, food or to pay your rent, 636 00:35:05,040 --> 00:35:07,480 Speaker 1: then that would force you back into the labor market. 637 00:35:07,640 --> 00:35:09,919 Speaker 1: But on the other hand, you know, you could also 638 00:35:09,960 --> 00:35:13,320 Speaker 1: imagine a subset of workers who think, well, if prices 639 00:35:13,360 --> 00:35:16,080 Speaker 1: are going up, and everything is unaffordable, then what's the 640 00:35:16,120 --> 00:35:19,160 Speaker 1: point of taking on, for instance, a part time job 641 00:35:19,280 --> 00:35:20,920 Speaker 1: or something that's not really going to be able to 642 00:35:20,960 --> 00:35:25,440 Speaker 1: help me offset those So how are you viewing that relationship? 643 00:35:26,360 --> 00:35:30,520 Speaker 1: I think it's a really interesting question. My first thought 644 00:35:30,560 --> 00:35:35,960 Speaker 1: was to look to frankly, consumer expectations for inflation. We 645 00:35:36,000 --> 00:35:38,760 Speaker 1: just saw that there was a fairly big drop between 646 00:35:38,840 --> 00:35:41,640 Speaker 1: June and July and in the short and long run expectations. 647 00:35:41,680 --> 00:35:43,560 Speaker 1: Because I imagine that that might give you a sign 648 00:35:43,600 --> 00:35:45,480 Speaker 1: as to whether or not that's playing a big role 649 00:35:45,480 --> 00:35:47,400 Speaker 1: in your decision making. But again this is off the 650 00:35:47,400 --> 00:35:50,759 Speaker 1: cuff hypothesis, so so that that's one thing. But at 651 00:35:50,800 --> 00:35:54,160 Speaker 1: the same time, if you have an urgent need to 652 00:35:55,320 --> 00:35:59,120 Speaker 1: feed your family, you know, pay your bills. I imagine, 653 00:35:59,120 --> 00:36:02,840 Speaker 1: even if your paycheck wasn't stretching as far, the choices 654 00:36:03,080 --> 00:36:06,640 Speaker 1: probably to try to earn a wage there. Of course, 655 00:36:06,719 --> 00:36:09,399 Speaker 1: you know other reasons which lay before participation might be 656 00:36:09,960 --> 00:36:12,520 Speaker 1: lower for some workers, like I mentioned earlier, you know 657 00:36:12,880 --> 00:36:17,400 Speaker 1: care uh, you know, lack of access opportunities or discrimination. 658 00:36:18,000 --> 00:36:20,640 Speaker 1: You know, the opiates places prices has even played a 659 00:36:20,640 --> 00:36:24,279 Speaker 1: big role in in the declining rate of participation for 660 00:36:24,280 --> 00:36:26,880 Speaker 1: for white men like there are other bigger structural factors 661 00:36:26,920 --> 00:36:31,120 Speaker 1: that play a role, but that individual decision feels it 662 00:36:31,160 --> 00:36:33,120 Speaker 1: feels it feels like it leans more on the side 663 00:36:33,160 --> 00:36:35,560 Speaker 1: of if there's a job on the table, I might 664 00:36:35,560 --> 00:36:38,280 Speaker 1: take it. Then then that can you talk a little 665 00:36:38,280 --> 00:36:41,920 Speaker 1: bit more about immigration? And we know that over the 666 00:36:42,000 --> 00:36:45,520 Speaker 1: last few years, starting with the last administration, there has 667 00:36:45,560 --> 00:36:49,040 Speaker 1: been this very big drop overall in immigration. How do 668 00:36:49,080 --> 00:36:51,680 Speaker 1: you see that. Is this something that's going to affect 669 00:36:51,680 --> 00:36:53,520 Speaker 1: the economy in the long run or when you look 670 00:36:53,560 --> 00:36:58,279 Speaker 1: at data right now, whether it's productivity data, wage data, 671 00:36:58,280 --> 00:37:00,719 Speaker 1: are there areas in which this is clear showing up 672 00:37:00,840 --> 00:37:03,680 Speaker 1: right now the effects of that. I think the effects 673 00:37:03,719 --> 00:37:07,279 Speaker 1: of immigration are definitely showing up in the labor market 674 00:37:07,360 --> 00:37:10,600 Speaker 1: data today. Um, there are individuals who have measured this. 675 00:37:11,200 --> 00:37:12,879 Speaker 1: I wish I could remember the papers off the top 676 00:37:12,960 --> 00:37:15,560 Speaker 1: but of my of my head. But you know, the 677 00:37:15,600 --> 00:37:19,800 Speaker 1: gaps can be fairly significant, you know, hundreds of thousands. 678 00:37:20,160 --> 00:37:21,719 Speaker 1: I think even there was an estimate that was showing 679 00:37:21,960 --> 00:37:24,080 Speaker 1: last year that there were two million missing immigrants in 680 00:37:24,080 --> 00:37:26,640 Speaker 1: the US economy. Obviously, not all of those immigrants would 681 00:37:26,640 --> 00:37:29,560 Speaker 1: be participating in the labor more labor market, but a 682 00:37:29,640 --> 00:37:32,880 Speaker 1: sizable share would and so you know, that does affect 683 00:37:32,880 --> 00:37:36,200 Speaker 1: overall supply of labor. Like we're actually also seeing that 684 00:37:36,239 --> 00:37:38,719 Speaker 1: even for you workers who are born outside of the 685 00:37:38,760 --> 00:37:41,319 Speaker 1: U S who are working in the US today, you know, 686 00:37:41,600 --> 00:37:45,920 Speaker 1: they are also taking advantage of you know, this bargaining 687 00:37:45,960 --> 00:37:49,680 Speaker 1: power and are switching to sectors that may seem maybe 688 00:37:49,760 --> 00:37:52,840 Speaker 1: higher quality, which I thought was interesting because often the 689 00:37:52,920 --> 00:37:55,120 Speaker 1: thought is, will just bring in a bunch of immigrants, 690 00:37:55,160 --> 00:37:57,760 Speaker 1: they'll slut the labor market and take all these terrible jobs. 691 00:37:58,719 --> 00:38:01,440 Speaker 1: But we're born, were present in the US also have choice, 692 00:38:01,480 --> 00:38:04,040 Speaker 1: and so we're saying when there is opportunities for workers 693 00:38:04,080 --> 00:38:06,200 Speaker 1: to have choice, they also, you know, we'll choose better 694 00:38:06,239 --> 00:38:09,239 Speaker 1: quality jobs. So I think that that's that's important on 695 00:38:09,320 --> 00:38:12,160 Speaker 1: the you know, solutions front. I think obviously the policies 696 00:38:12,160 --> 00:38:14,520 Speaker 1: of the last administration played a big role, and frintly, 697 00:38:14,560 --> 00:38:19,399 Speaker 1: the pandemic hamperedly the federal government's ability to process you know, 698 00:38:19,280 --> 00:38:21,480 Speaker 1: you know, legal immigrants into the US, and so at 699 00:38:21,560 --> 00:38:23,200 Speaker 1: least where I set from what I've seen, the administration 700 00:38:23,239 --> 00:38:25,560 Speaker 1: is doing all it can to kind of fix you 701 00:38:25,600 --> 00:38:28,160 Speaker 1: know a lot of those challenges, including just the undermining 702 00:38:28,200 --> 00:38:31,560 Speaker 1: of our ability to actually make the immigration system work 703 00:38:31,640 --> 00:38:33,920 Speaker 1: for people who are doing their best to navigate it. 704 00:38:34,680 --> 00:38:38,000 Speaker 1: So I just have one last question here, and it 705 00:38:38,080 --> 00:38:41,279 Speaker 1: just goes back to the last nonfarm pay payrolls report. 706 00:38:41,360 --> 00:38:44,000 Speaker 1: We got five hundred and twenty eight thousand new jobs. 707 00:38:44,360 --> 00:38:47,600 Speaker 1: That was well ahead of expectations. And not only that, 708 00:38:47,760 --> 00:38:50,879 Speaker 1: adding a half a million people to the workforce does 709 00:38:51,000 --> 00:38:54,640 Speaker 1: not exactly feel like something that should or is supposed 710 00:38:54,680 --> 00:38:57,200 Speaker 1: to happen in the labor market as tight as this one, 711 00:38:57,280 --> 00:39:00,560 Speaker 1: Like if really employers are like really scrape bing and 712 00:39:00,640 --> 00:39:02,680 Speaker 1: like there's you know, everyone who wants a job in 713 00:39:02,880 --> 00:39:06,360 Speaker 1: theory can find one, and employers to say, oh, we 714 00:39:06,400 --> 00:39:08,839 Speaker 1: can't find workers, Like it's hard to imagine. How how 715 00:39:08,840 --> 00:39:11,640 Speaker 1: do you add another half a million jobs in that environment? 716 00:39:11,800 --> 00:39:14,919 Speaker 1: What does that tell you? What does that change any 717 00:39:14,960 --> 00:39:17,360 Speaker 1: of your assumptions about the state of the labor market 718 00:39:17,400 --> 00:39:20,120 Speaker 1: that is recently is July, this is still an economy 719 00:39:20,160 --> 00:39:24,520 Speaker 1: that's just adding that many workers per month. My biggest 720 00:39:24,560 --> 00:39:27,120 Speaker 1: question is always what's the trend line going to be? 721 00:39:27,520 --> 00:39:29,839 Speaker 1: And excuse this very wonking answer, but I love three 722 00:39:29,840 --> 00:39:33,719 Speaker 1: month averages for this reason. Um So one I think 723 00:39:33,719 --> 00:39:35,400 Speaker 1: it's important to watch to see if this continues or 724 00:39:35,400 --> 00:39:39,000 Speaker 1: if this was a temporary uptick, because prior to July, 725 00:39:39,640 --> 00:39:41,600 Speaker 1: you know, we were seeing slightly lower figures that were 726 00:39:41,640 --> 00:39:44,600 Speaker 1: trending trending lower than they were before. So that's you know, 727 00:39:44,640 --> 00:39:46,920 Speaker 1: out the gate. First reaction is is this going to stick? 728 00:39:47,000 --> 00:39:48,719 Speaker 1: Is this the start of a new trend? That doesn't 729 00:39:48,719 --> 00:39:51,399 Speaker 1: seem likely to me, but we will see very very soon. 730 00:39:51,520 --> 00:39:53,160 Speaker 1: And then and then the second thing is, you know, 731 00:39:54,160 --> 00:39:56,160 Speaker 1: so a question you asked earlier, it's a sign that 732 00:39:56,200 --> 00:40:00,279 Speaker 1: Americans do want to work. It seems like, you know, 733 00:40:00,360 --> 00:40:03,920 Speaker 1: every time we have a recovery, you know, the employer 734 00:40:04,000 --> 00:40:06,960 Speaker 1: side story kind of dominates the headlines, which is the 735 00:40:07,000 --> 00:40:08,919 Speaker 1: idea that Americans don't want to work, but they want 736 00:40:09,800 --> 00:40:12,000 Speaker 1: good quality jobs in sectors where they're not at risk 737 00:40:12,040 --> 00:40:15,160 Speaker 1: of contracting a deadly virus. They want to make enough 738 00:40:15,200 --> 00:40:17,960 Speaker 1: money to pay the bills, especially in an environment where 739 00:40:18,400 --> 00:40:20,960 Speaker 1: you know, inslation can be eating away at what they're 740 00:40:21,040 --> 00:40:24,160 Speaker 1: what they're taking home, um and and that's that's kind 741 00:40:24,160 --> 00:40:26,680 Speaker 1: of what I what I see in that data in July. 742 00:40:27,480 --> 00:40:30,760 Speaker 1: Joel Gamble, thank you so much for coming out odd lots. 743 00:40:30,960 --> 00:40:33,200 Speaker 1: You know, the labor markets obviously such a big and 744 00:40:33,239 --> 00:40:36,440 Speaker 1: sprowling topic. But that was really helpful in terms of 745 00:40:36,600 --> 00:40:39,200 Speaker 1: sort of understanding where we're at right now. So appreciate 746 00:40:39,239 --> 00:40:41,640 Speaker 1: you coming up. So glad to have been here. Yeah, 747 00:40:41,760 --> 00:40:43,919 Speaker 1: that was fun. Thank you so much, Thanks so much. Sure, 748 00:40:44,360 --> 00:41:01,920 Speaker 1: thank you, true Basy. I found that to be very useful, 749 00:41:02,040 --> 00:41:04,360 Speaker 1: all kinds of interesting things. You know. One of the 750 00:41:04,440 --> 00:41:07,440 Speaker 1: things that we haven't talked about that much is this 751 00:41:07,520 --> 00:41:11,399 Speaker 1: productivity question, and I find that I think Joel will 752 00:41:11,400 --> 00:41:13,359 Speaker 1: talk about that. Maybe we talked a little bit about 753 00:41:13,400 --> 00:41:16,480 Speaker 1: that with Yon, but I'm not really sure. But uh, 754 00:41:16,800 --> 00:41:18,520 Speaker 1: I do feel like that's one of the big sort 755 00:41:18,520 --> 00:41:22,880 Speaker 1: of mysteries questions, key determinants like where we go from here. 756 00:41:23,719 --> 00:41:26,080 Speaker 1: And I also like the way she sort of distinguished 757 00:41:26,120 --> 00:41:30,160 Speaker 1: between productivity as the sort of statistical artifact, which is like, yeah, 758 00:41:30,200 --> 00:41:31,839 Speaker 1: you can look at GDP and you can look at 759 00:41:31,840 --> 00:41:34,120 Speaker 1: ours work and come up with some math that say 760 00:41:34,400 --> 00:41:37,960 Speaker 1: workers with this productive. But then also productivity is this 761 00:41:38,040 --> 00:41:41,000 Speaker 1: sort of true deep economic phenomenon of we're going to 762 00:41:41,160 --> 00:41:44,359 Speaker 1: have higher pay and a more robust economy. We need, 763 00:41:44,600 --> 00:41:47,600 Speaker 1: you know, we need productive workplaces. Well, I'm also getting 764 00:41:47,600 --> 00:41:51,800 Speaker 1: flashbacks to actually the old Jannatsis argument about productivity just 765 00:41:51,920 --> 00:41:55,239 Speaker 1: not being you know, measured accurately in a modern economy 766 00:41:55,320 --> 00:41:58,959 Speaker 1: where there's a lot more emphasis on software and things 767 00:41:59,000 --> 00:42:01,600 Speaker 1: like that. That whole versation was a really good reminder 768 00:42:01,640 --> 00:42:06,440 Speaker 1: that the labor force is not a monolith, as Joel mentioned, 769 00:42:06,440 --> 00:42:08,440 Speaker 1: and there are of course these different groups within it, 770 00:42:08,480 --> 00:42:11,040 Speaker 1: all of which may be reacting in different ways to 771 00:42:11,080 --> 00:42:13,120 Speaker 1: the past two years. And then of course she made 772 00:42:13,120 --> 00:42:15,839 Speaker 1: the point also, you know, in addition to demographics, it's 773 00:42:15,880 --> 00:42:19,239 Speaker 1: also about industry type. And I thought her point about 774 00:42:19,560 --> 00:42:22,840 Speaker 1: the proportion of black men in transportation and warehousing and 775 00:42:22,880 --> 00:42:26,040 Speaker 1: things like that, and the relationship with the overall business 776 00:42:26,040 --> 00:42:30,600 Speaker 1: cycle those kind of being the first hired, first fired, 777 00:42:31,239 --> 00:42:34,080 Speaker 1: that was really interesting to me and a good reminder. Yeah, 778 00:42:34,160 --> 00:42:36,880 Speaker 1: we'll have to see what happens, because again, look, it 779 00:42:37,000 --> 00:42:41,359 Speaker 1: is really encouraging that the spread between black and white 780 00:42:41,400 --> 00:42:46,280 Speaker 1: unemployment is much narrower and compressed much faster in this recovery. 781 00:42:46,320 --> 00:42:48,839 Speaker 1: On the other hand, you know, as she pointed out, 782 00:42:49,120 --> 00:42:52,240 Speaker 1: there's questions and as you just mentioned about last hired, 783 00:42:52,719 --> 00:42:55,239 Speaker 1: first fired, there's a quality of those jobs. Okay, we 784 00:42:55,280 --> 00:42:59,560 Speaker 1: saw this huge explosion in demand for warehouse labor, huge 785 00:42:59,640 --> 00:43:03,920 Speaker 1: explore in demand for transportation, labor, huge explosion in demand 786 00:43:04,040 --> 00:43:07,799 Speaker 1: for food service and lodging things like that, not high 787 00:43:07,840 --> 00:43:11,240 Speaker 1: volume jobs, that's not necessarily high paying jobs, not necessarily 788 00:43:11,239 --> 00:43:13,680 Speaker 1: the most stable jobs. So I'll have to see and 789 00:43:13,719 --> 00:43:16,480 Speaker 1: of course throw into the mix of FED that is 790 00:43:16,800 --> 00:43:19,760 Speaker 1: clearly trying to slow down the labor market, and whether 791 00:43:19,840 --> 00:43:23,080 Speaker 1: these gains will hold persistent, have positive carry over for 792 00:43:23,080 --> 00:43:26,080 Speaker 1: the future I think remains a question mark. Yeah. So, okay, 793 00:43:26,120 --> 00:43:29,239 Speaker 1: So we've come out of the Labor Market Mystery podcast 794 00:43:29,320 --> 00:43:32,800 Speaker 1: with more questions, or at least more things to watch, 795 00:43:33,080 --> 00:43:35,840 Speaker 1: more things to watch. So yeah, we we answered a 796 00:43:35,880 --> 00:43:38,600 Speaker 1: bunch of questions and now we have a went to question. Yeah, alright, 797 00:43:38,800 --> 00:43:40,680 Speaker 1: shall we leave it there? Let's leave it there. This 798 00:43:40,719 --> 00:43:43,440 Speaker 1: has been another episode of the All Thoughts podcast. I'm 799 00:43:43,480 --> 00:43:46,120 Speaker 1: Tracy Alloway. You can follow me on Twitter at Tracy 800 00:43:46,160 --> 00:43:49,040 Speaker 1: Alloway and I'm Joe Wisn'tal. You can follow me on 801 00:43:49,080 --> 00:43:52,640 Speaker 1: Twitter at the Stalwart. Follow our guest Joel Gamble, She's 802 00:43:52,719 --> 00:43:57,440 Speaker 1: at Joel Underscore Gamble. Follow our producer Carmen Rodriguez at 803 00:43:57,520 --> 00:44:00,680 Speaker 1: Carmen Armand and check out all of our podcasts at 804 00:44:00,680 --> 00:44:05,440 Speaker 1: Bloomberg under the handle at Podcasts so, Joe, we have 805 00:44:05,520 --> 00:44:07,880 Speaker 1: something pretty exciting coming up. That's right. We're going to 806 00:44:07,960 --> 00:44:11,120 Speaker 1: be doing a live episode of the podcast and listeners 807 00:44:11,120 --> 00:44:13,319 Speaker 1: are invited to join. Yep. We are going to be 808 00:44:13,360 --> 00:44:17,040 Speaker 1: playing host to Perry Maryland and Sultan Posar. The two 809 00:44:17,040 --> 00:44:19,600 Speaker 1: of them are going to be debating the future of 810 00:44:19,640 --> 00:44:23,040 Speaker 1: the dollar. It's on September six at three pm at 811 00:44:23,040 --> 00:44:25,520 Speaker 1: Bloomberg h Q and if you want to come, Tracy, 812 00:44:25,600 --> 00:44:28,399 Speaker 1: how can people sign up? It is totally free. All 813 00:44:28,480 --> 00:44:30,120 Speaker 1: you have to do is make sure you r s 814 00:44:30,200 --> 00:44:33,120 Speaker 1: v P in advance. Please send an email to add 815 00:44:33,200 --> 00:44:36,160 Speaker 1: Bots at Bloomberg dot net. Thanks for listening.