1 00:00:03,840 --> 00:00:06,200 Speaker 1: Welcome to Ask Fear and Greed, where we take your 2 00:00:06,280 --> 00:00:08,880 Speaker 1: questions and do our best to answer them. I'm Michael Thompson, 3 00:00:08,920 --> 00:00:10,720 Speaker 1: and good afternoon, Sean Aylmer. 4 00:00:10,960 --> 00:00:13,640 Speaker 2: Good afternoon, Michael, Sean. 5 00:00:13,760 --> 00:00:18,040 Speaker 1: Today's question has come from Lou on LinkedIn. Very illiterative. 6 00:00:18,520 --> 00:00:21,040 Speaker 1: You can obviously send it in via LinkedIn or Facebook 7 00:00:21,120 --> 00:00:23,919 Speaker 1: or Instagram, or head to our website Fearangreed dot com 8 00:00:23,960 --> 00:00:26,079 Speaker 1: dot au if you've got a question to ask. And 9 00:00:26,160 --> 00:00:31,080 Speaker 1: I think Lou has been inspired by last week's unemployment 10 00:00:31,240 --> 00:00:34,360 Speaker 1: numbers coming in at a shock three point nine percent. 11 00:00:34,880 --> 00:00:38,880 Speaker 1: He says, Hi, gents, this might be a stupid question, Lou. 12 00:00:38,920 --> 00:00:44,440 Speaker 1: There are no stupid questions never on this show. But 13 00:00:44,640 --> 00:00:49,639 Speaker 1: can unemployment ever get close to zero percent? Wouldn't that 14 00:00:49,880 --> 00:00:53,479 Speaker 1: be classed as full employment? Which is a term that 15 00:00:53,520 --> 00:00:58,400 Speaker 1: we hear quite a bit. I would appreciate a simplified explanation, 16 00:00:58,840 --> 00:01:00,960 Speaker 1: if there is one. I mean, the first part of 17 00:01:01,000 --> 00:01:05,400 Speaker 1: that question is a challenge, that last part short. 18 00:01:05,360 --> 00:01:09,640 Speaker 2: That me thats a real explanation. Yea, it is a 19 00:01:09,720 --> 00:01:12,080 Speaker 2: great It is a great question, Lou, because it makes 20 00:01:12,120 --> 00:01:16,480 Speaker 2: sense what you're saying. However, it's kind of not how 21 00:01:16,520 --> 00:01:21,600 Speaker 2: the economy works. There's a thing called frictional unemployment. People 22 00:01:21,800 --> 00:01:26,360 Speaker 2: are always changing jobs, and even if there was a 23 00:01:26,440 --> 00:01:29,240 Speaker 2: job for every single person, one hundred people, hundred jobs, 24 00:01:29,720 --> 00:01:32,600 Speaker 2: people would be jumping around because they'd be chasing higher pay. 25 00:01:33,319 --> 00:01:35,880 Speaker 2: They want to do something different. I mean, there's always 26 00:01:36,000 --> 00:01:38,840 Speaker 2: someone out there without a job because they're just shifting 27 00:01:39,000 --> 00:01:42,679 Speaker 2: between jobs. That's called frictional unemployment. Then there's a thing 28 00:01:42,720 --> 00:01:48,360 Speaker 2: called structural unemployment. Now you never really get a total 29 00:01:48,400 --> 00:01:50,720 Speaker 2: match in like a skilled worker demands a wage of 30 00:01:50,840 --> 00:01:54,320 Speaker 2: twelve bucks, the business wants to give them ten bucks. 31 00:01:55,200 --> 00:01:58,000 Speaker 2: Maybe they agree at eleven bucks, but maybe the skilled 32 00:01:58,040 --> 00:01:59,800 Speaker 2: worker says, now, I'll just keep looking around, thanks very 33 00:01:59,880 --> 00:02:03,360 Speaker 2: much much. Or maybe a business wants to pay less 34 00:02:03,400 --> 00:02:06,040 Speaker 2: than the minimum wages, so might say, hey, i'll give 35 00:02:06,040 --> 00:02:08,480 Speaker 2: you twelve bucks an hour if you made my lawn, 36 00:02:09,160 --> 00:02:11,760 Speaker 2: and the minimum wage is fifteen. So they just don't agree. 37 00:02:11,800 --> 00:02:17,120 Speaker 2: So this sort of structural unemployment kicks in. So when 38 00:02:17,160 --> 00:02:20,720 Speaker 2: you got frictional unemployment, structural unemployment, it kind of makes 39 00:02:20,720 --> 00:02:23,280 Speaker 2: it impossible to actually get to zero because people are 40 00:02:23,280 --> 00:02:26,800 Speaker 2: always changing jobs. The demand and supply never quite matches 41 00:02:26,840 --> 00:02:29,880 Speaker 2: in terms of wage levels and stuff like that. Now, 42 00:02:29,919 --> 00:02:32,680 Speaker 2: if you put them together, you're always going to have 43 00:02:32,960 --> 00:02:36,400 Speaker 2: an unemployment rate. But this comes down to this concept 44 00:02:36,440 --> 00:02:40,680 Speaker 2: of full employment which Lou's talking about, or the natural 45 00:02:40,760 --> 00:02:46,520 Speaker 2: rate of unemployment or the non accelerating inflationary rate of unemployment, 46 00:02:46,520 --> 00:02:49,520 Speaker 2: otherwise known as NEHRU. They're all kind of the same thing. 47 00:02:49,600 --> 00:02:52,080 Speaker 2: So the natural rate, the full employment rate, the NAHRU. 48 00:02:53,320 --> 00:02:57,800 Speaker 2: It's the state of bliss for labor markets. Full employment NAHRU, 49 00:02:57,840 --> 00:03:01,080 Speaker 2: et cetera. It's basically where everyone who wants a job 50 00:03:01,600 --> 00:03:04,760 Speaker 2: can pretty much get one, but there's not pressure on 51 00:03:05,080 --> 00:03:08,600 Speaker 2: wages and hence inflation. If you look at this economy 52 00:03:08,680 --> 00:03:11,399 Speaker 2: right now, we talk about the NAHRU at four point 53 00:03:11,480 --> 00:03:13,840 Speaker 2: five percent or full employment at four point five percent, 54 00:03:13,880 --> 00:03:17,840 Speaker 2: we're at three point nine percent. Therefore it's less. You think, oh, 55 00:03:17,840 --> 00:03:21,799 Speaker 2: that's good. It is good, but it probably puts pressure 56 00:03:22,639 --> 00:03:26,200 Speaker 2: on wages because people can chop around and get more wages, 57 00:03:26,240 --> 00:03:30,040 Speaker 2: and that puts pressure on inflation. So but this this 58 00:03:30,160 --> 00:03:33,359 Speaker 2: is a really interesting concept, the NHRU, because it's probably 59 00:03:33,480 --> 00:03:37,360 Speaker 2: changed over the years. The knowledge economy has probably given 60 00:03:37,440 --> 00:03:41,080 Speaker 2: a total shift to it. So Michael, when earlier the 61 00:03:41,080 --> 00:03:45,040 Speaker 2: New Year, we decide that you're no longer for fear 62 00:03:45,040 --> 00:03:47,720 Speaker 2: and greed or did I say that out loud? Anyway, 63 00:03:48,400 --> 00:03:48,960 Speaker 2: Let's pretend. 64 00:03:49,160 --> 00:03:53,480 Speaker 1: Let's pretend, all right, so far, I'm very heavily invested 65 00:03:53,600 --> 00:03:55,160 Speaker 1: in this hypothetical scenario. 66 00:03:55,280 --> 00:03:58,080 Speaker 2: Sure, so that you were, you know, let's say you 67 00:03:58,080 --> 00:04:01,520 Speaker 2: weren one hundred dollars a week. Now, you've got a mortgage, 68 00:04:01,640 --> 00:04:04,600 Speaker 2: you've got kids, you're going to school, if you've got 69 00:04:04,960 --> 00:04:09,360 Speaker 2: if you lost your job on Friday. 70 00:04:09,320 --> 00:04:13,200 Speaker 1: Oh, specific a hypothetical date of Friday. 71 00:04:13,280 --> 00:04:16,960 Speaker 2: All right, so if you did, what would you do? 72 00:04:17,240 --> 00:04:18,600 Speaker 2: I would have made I mean, you'll meet it, look 73 00:04:18,600 --> 00:04:21,240 Speaker 2: for another job. But it's Christmas, it's time that you 74 00:04:21,279 --> 00:04:24,160 Speaker 2: need money. You're in media, so you're probably not really 75 00:04:24,200 --> 00:04:25,760 Speaker 2: going to get a job till February or March. If 76 00:04:25,800 --> 00:04:28,800 Speaker 2: you don't have savings, you probably become an uber driver 77 00:04:29,279 --> 00:04:31,520 Speaker 2: or you do deliveries or stuff like that, just to 78 00:04:31,560 --> 00:04:34,560 Speaker 2: get some cash coming in. And so there's this big 79 00:04:34,600 --> 00:04:38,200 Speaker 2: discussion in Australia. Now that the full employment rate, the 80 00:04:38,240 --> 00:04:40,920 Speaker 2: natural rate the nay room reserve banks is four and 81 00:04:40,920 --> 00:04:43,240 Speaker 2: a half percent, it may actually be a lot less 82 00:04:43,279 --> 00:04:45,880 Speaker 2: than that because people like you and me, if we 83 00:04:45,960 --> 00:04:49,560 Speaker 2: lost our job, would actually become employed off around bat 84 00:04:49,760 --> 00:04:52,039 Speaker 2: because we can couldn't have done that ten years ago. 85 00:04:52,480 --> 00:04:55,240 Speaker 2: So maybe Nayru is three percent three and a half percent, 86 00:04:55,440 --> 00:04:58,680 Speaker 2: not four and a half percent. So Lou, the upsht 87 00:04:58,680 --> 00:05:00,320 Speaker 2: of all this, right, you might have I thought that 88 00:05:00,360 --> 00:05:02,359 Speaker 2: was a stupid question. I thought that was a cracking 89 00:05:02,800 --> 00:05:05,039 Speaker 2: question because there's so much to it. 90 00:05:05,680 --> 00:05:08,800 Speaker 1: Okay, So the rise of like the gig economy and 91 00:05:08,839 --> 00:05:11,640 Speaker 1: all of these creates more opportunities for more people to 92 00:05:11,680 --> 00:05:15,120 Speaker 1: get the work. Like it might not be full time work, 93 00:05:15,560 --> 00:05:17,880 Speaker 1: but it might just be enough work to me that 94 00:05:17,880 --> 00:05:19,520 Speaker 1: they are not classified as unemployed. 95 00:05:20,120 --> 00:05:23,000 Speaker 2: So you and I four or five years almost five 96 00:05:23,120 --> 00:05:27,160 Speaker 2: years ago, we both found ourselves looking for work, and 97 00:05:27,240 --> 00:05:30,200 Speaker 2: so we started fear and Great. Now. We did that 98 00:05:30,640 --> 00:05:34,400 Speaker 2: because you and I had some skill base. We had technology, 99 00:05:34,440 --> 00:05:36,719 Speaker 2: because we have a software platform that we can use. 100 00:05:36,760 --> 00:05:39,120 Speaker 2: We could do it from home and back then and 101 00:05:39,600 --> 00:05:42,320 Speaker 2: start a job and kind of build an audience and 102 00:05:42,800 --> 00:05:45,760 Speaker 2: sell ads into it and do partnerships and stuff like that. 103 00:05:46,720 --> 00:05:48,840 Speaker 2: Like fifteen years ago, we probably couldn't have done that 104 00:05:48,839 --> 00:05:51,880 Speaker 2: because it wasn't the software to do it. 105 00:05:51,960 --> 00:05:54,560 Speaker 1: Like, so we would be out there looking for another 106 00:05:54,680 --> 00:05:57,560 Speaker 1: formal job that would take us into an office, working 107 00:05:57,680 --> 00:06:00,880 Speaker 1: full time and for that I'd have had to wait 108 00:06:01,240 --> 00:06:03,160 Speaker 1: three months or something. 109 00:06:02,880 --> 00:06:05,599 Speaker 2: To find that right job might have been a bit longer. 110 00:06:06,120 --> 00:06:07,960 Speaker 1: Yeah, indeed, especially when you're getting on a bit. 111 00:06:08,279 --> 00:06:09,520 Speaker 2: Yeah, thanks very much mate. 112 00:06:09,600 --> 00:06:13,479 Speaker 1: Thanks indeed, there we go. That's the hypothetical situation. 113 00:06:14,440 --> 00:06:17,040 Speaker 2: We lose it by job on Friday, get back. Yeah. 114 00:06:17,080 --> 00:06:19,320 Speaker 1: Indeed, I feel like we are even and I feel 115 00:06:19,320 --> 00:06:22,120 Speaker 1: like we have answered the question. That was a really 116 00:06:22,160 --> 00:06:24,120 Speaker 1: good question. Thank you Lou for sending it in, and 117 00:06:24,160 --> 00:06:26,520 Speaker 1: thank you Sean for answering it. And I would argue 118 00:06:26,560 --> 00:06:30,920 Speaker 1: in a way that was simple. Did what did leuwant? 119 00:06:30,960 --> 00:06:34,400 Speaker 1: He wanted a simplified explanation. I love the fact that 120 00:06:34,440 --> 00:06:38,240 Speaker 1: you use me to simplify things. Yeah, yeah, jeers, thanks 121 00:06:38,279 --> 00:06:39,680 Speaker 1: a lot, Thank you Sean. 122 00:06:39,800 --> 00:06:40,960 Speaker 2: Thank you Michael, Thank you loum. 123 00:06:41,480 --> 00:06:43,839 Speaker 1: If you have your own question that you would like 124 00:06:43,920 --> 00:06:46,160 Speaker 1: us to answer, you can send it on through via 125 00:06:46,279 --> 00:06:49,640 Speaker 1: LinkedIn as Lou did, or Instagram, Facebook, or Fearangreed dot 126 00:06:49,680 --> 00:06:52,040 Speaker 1: com dot au and we will pop it on the list. 127 00:06:52,080 --> 00:06:54,520 Speaker 1: I'm Michael Thompson and this is pasked Fear and Greed