1 00:00:01,920 --> 00:00:04,320 Speaker 1: Welcome to brain Stuff, a production of I Heart Radio. 2 00:00:06,080 --> 00:00:09,840 Speaker 1: See brain Stuff learn bogle bom here. The first Friday 3 00:00:09,840 --> 00:00:12,280 Speaker 1: of every month is circled in red marker on the 4 00:00:12,320 --> 00:00:16,239 Speaker 1: calendars of every economics, geek, policy walk and business journalist 5 00:00:16,239 --> 00:00:20,239 Speaker 1: in America. Informally known as Job's Day, This is the 6 00:00:20,320 --> 00:00:23,560 Speaker 1: day that at precisely eight thirty am, the Bureau of 7 00:00:23,600 --> 00:00:28,639 Speaker 1: Labor Statistics or BLS, releases its monthly Employment Situation Summary 8 00:00:28,880 --> 00:00:32,480 Speaker 1: a k a. The Job's Report. The Job's Report makes 9 00:00:32,479 --> 00:00:35,440 Speaker 1: headlines every month because it's such an effective measure of 10 00:00:35,479 --> 00:00:38,519 Speaker 1: the health of the U S labor market. In the report, 11 00:00:38,600 --> 00:00:41,760 Speaker 1: which looks back at the previous month, the BLS updates 12 00:00:41,800 --> 00:00:44,800 Speaker 1: key statistics like the unemployment rate, how many jobs were 13 00:00:44,840 --> 00:00:47,879 Speaker 1: added or removed during the month, and whether wages and 14 00:00:47,920 --> 00:00:53,120 Speaker 1: earnings went up or down on average. Economists, media outlets, 15 00:00:53,159 --> 00:00:56,280 Speaker 1: and politicians trip over themselves to comment on the Job's 16 00:00:56,320 --> 00:00:59,480 Speaker 1: Report because its facts and figures are a good indication 17 00:00:59,640 --> 00:01:03,640 Speaker 1: of whether America's economic policies are working. The numbers and 18 00:01:03,680 --> 00:01:06,240 Speaker 1: the Jobs Report can influence things like how the Federal 19 00:01:06,319 --> 00:01:10,520 Speaker 1: Reserve conducts monetary policy and whether Congress approves extensions for 20 00:01:10,600 --> 00:01:15,240 Speaker 1: federal unemployment benefits. So let's talk about how it works. 21 00:01:16,080 --> 00:01:18,720 Speaker 1: For the article. This episode is based on how stuff works. 22 00:01:18,720 --> 00:01:21,440 Speaker 1: Reached out to a Lease Gold, a senior economist at 23 00:01:21,440 --> 00:01:24,200 Speaker 1: the Economic Policy Institute and an avid reader of the 24 00:01:24,240 --> 00:01:28,480 Speaker 1: monthly Jobs Report, to help figure it out. So the 25 00:01:28,600 --> 00:01:33,160 Speaker 1: Job's Report publishes data from two large and completely separate surveys. 26 00:01:33,920 --> 00:01:37,560 Speaker 1: The first survey, called the Establishment Survey, is aimed at businesses. 27 00:01:38,160 --> 00:01:41,080 Speaker 1: For that survey, the BLS contacts about a hundred and 28 00:01:41,120 --> 00:01:45,959 Speaker 1: forty four thousand businesses excluding agriculture plus government agencies and 29 00:01:46,040 --> 00:01:49,320 Speaker 1: asks them detailed questions about how many workers they employ 30 00:01:49,640 --> 00:01:53,440 Speaker 1: and how much those workers were paid. The Establishment Survey 31 00:01:53,560 --> 00:01:58,200 Speaker 1: is what delivers the non farm payroll number. Gold said, 32 00:01:58,520 --> 00:02:01,080 Speaker 1: that's the big number that people talk about, how many 33 00:02:01,160 --> 00:02:06,000 Speaker 1: jobs were added that month. The second big survey, conducted 34 00:02:06,080 --> 00:02:08,720 Speaker 1: jointly by the BLS and the U S Census Bureau, 35 00:02:09,040 --> 00:02:14,160 Speaker 1: is the Household Survey. For this survey, sixty individual American 36 00:02:14,200 --> 00:02:17,560 Speaker 1: households are asked dozens of questions about the employment status 37 00:02:17,600 --> 00:02:21,600 Speaker 1: a family members aged sixteen years and older. That's where 38 00:02:21,639 --> 00:02:26,440 Speaker 1: the BLS gets the unemployment rate. Gold said. The Household 39 00:02:26,520 --> 00:02:29,360 Speaker 1: Survey is a survey of people as opposed to businesses. 40 00:02:29,919 --> 00:02:32,799 Speaker 1: You need a household survey to calculate the unemployment rate 41 00:02:32,919 --> 00:02:35,880 Speaker 1: because if you're only asking employers, then you don't know 42 00:02:36,040 --> 00:02:41,120 Speaker 1: who's not working. Who counts as unemployed is a deceptively 43 00:02:41,240 --> 00:02:45,600 Speaker 1: complicated question. First, it's important to note that the household 44 00:02:45,600 --> 00:02:48,760 Speaker 1: survey technically collects data from just one week out of 45 00:02:48,800 --> 00:02:52,359 Speaker 1: the month, says Gold, Typically whatever week contains the twelve, 46 00:02:53,440 --> 00:02:56,359 Speaker 1: so an individual's employment status for the month depends on 47 00:02:56,440 --> 00:03:00,839 Speaker 1: what they did that one week. The BLS assigns one 48 00:03:00,880 --> 00:03:03,320 Speaker 1: of three status is to each member of the household 49 00:03:03,360 --> 00:03:07,639 Speaker 1: ages sixteen or older, Employed, unemployed, or out of the 50 00:03:07,760 --> 00:03:11,760 Speaker 1: labor force. You are considered employed if you did any 51 00:03:11,800 --> 00:03:14,840 Speaker 1: work as a paid employee during the reference week, if 52 00:03:14,880 --> 00:03:17,680 Speaker 1: you worked for your own family business or farm, or 53 00:03:17,720 --> 00:03:20,080 Speaker 1: if you did at least fifteen hours of unpaid labor 54 00:03:20,120 --> 00:03:23,799 Speaker 1: in a family business or farm. You're also considered employed 55 00:03:23,840 --> 00:03:26,600 Speaker 1: if you were temporarily absent from work because of illness, 56 00:03:26,720 --> 00:03:32,200 Speaker 1: bad weather, vacation, et cetera. You're considered unemployed if and 57 00:03:32,360 --> 00:03:36,040 Speaker 1: only if you meet all three of the following criteria. 58 00:03:36,280 --> 00:03:39,040 Speaker 1: You have no employment at all that week You were 59 00:03:39,120 --> 00:03:42,800 Speaker 1: unavailable to work, but didn't and you made efforts to 60 00:03:42,840 --> 00:03:45,960 Speaker 1: look for work for the entire four week period ending 61 00:03:46,120 --> 00:03:49,840 Speaker 1: in the reference week. You are considered out of the 62 00:03:49,920 --> 00:03:53,320 Speaker 1: labor force if you're not working but don't qualify as unemployed. 63 00:03:54,040 --> 00:03:56,680 Speaker 1: Examples of people out of the labor force include full 64 00:03:56,680 --> 00:04:00,640 Speaker 1: time students, stay at home parents, unpaid caregivers, and hire ease, 65 00:04:01,040 --> 00:04:03,960 Speaker 1: but also people who have stopped actively looking for work 66 00:04:04,000 --> 00:04:09,160 Speaker 1: for various reasons. Gold explains the unemployment rate published every month, 67 00:04:09,160 --> 00:04:12,400 Speaker 1: and the job's report is a percentage. It's not the 68 00:04:12,440 --> 00:04:15,320 Speaker 1: percentage of all working age adults who are out of work, 69 00:04:15,680 --> 00:04:18,280 Speaker 1: but rather the percentage of the labor force that is 70 00:04:18,279 --> 00:04:21,279 Speaker 1: out of work. People considered out of the labor force 71 00:04:21,400 --> 00:04:25,800 Speaker 1: aren't counted. That's an important distinction when looking at the 72 00:04:25,880 --> 00:04:28,440 Speaker 1: unemployment rate and how it changes from month to month. 73 00:04:29,040 --> 00:04:32,240 Speaker 1: There's both the numerator and a denominator to considers as Gold, 74 00:04:32,480 --> 00:04:36,320 Speaker 1: and both can change. For example, the unemployment rate can 75 00:04:36,360 --> 00:04:40,120 Speaker 1: go up because a more people lost their jobs, or 76 00:04:40,240 --> 00:04:43,719 Speaker 1: be more people started looking for jobs, thus adding to 77 00:04:43,760 --> 00:04:47,760 Speaker 1: the labor force. In the second scenario, says Gold, a 78 00:04:47,839 --> 00:04:52,160 Speaker 1: higher unemployment rate is actually a positive sign. Quote. In 79 00:04:52,200 --> 00:04:54,560 Speaker 1: that case, I'd say the unemployment rate rose for the 80 00:04:54,640 --> 00:04:57,480 Speaker 1: right reasons, because more people came into the labor force 81 00:04:57,560 --> 00:05:00,440 Speaker 1: looking for a job. That means their optimist stick about 82 00:05:00,480 --> 00:05:05,680 Speaker 1: their opportunities, which is great news for data geeks like Gold. 83 00:05:05,760 --> 00:05:08,040 Speaker 1: The real fun of the Job's Report is digging into 84 00:05:08,040 --> 00:05:10,960 Speaker 1: all the other figures included in the monthly report, not 85 00:05:11,080 --> 00:05:15,159 Speaker 1: just the headline grabbing unemployment rate and non farm payroll numbers. 86 00:05:16,640 --> 00:05:20,520 Speaker 1: The Establishment Survey, for example, drills down to include job 87 00:05:20,600 --> 00:05:24,840 Speaker 1: figures for specific industries like leisure and hospitality, financial activities, 88 00:05:24,960 --> 00:05:28,599 Speaker 1: or research and development. The big non farm payroll figure 89 00:05:28,839 --> 00:05:32,279 Speaker 1: is a net calculations as Gold, meaning that some industries 90 00:05:32,320 --> 00:05:36,039 Speaker 1: may add jobs while others lose them. Breaking down the 91 00:05:36,080 --> 00:05:39,120 Speaker 1: employment and wage numbers by industry is a more useful 92 00:05:39,160 --> 00:05:42,119 Speaker 1: indicator of how the economy is performing for different types 93 00:05:42,160 --> 00:05:46,120 Speaker 1: of businesses. The same thing is true of the Household Survey, 94 00:05:46,200 --> 00:05:49,919 Speaker 1: which collects demographic data that makes it possible to break 95 00:05:49,920 --> 00:05:54,240 Speaker 1: down the unemployment figures by race, gender, education level, geographic region, 96 00:05:54,480 --> 00:05:58,080 Speaker 1: by how long people have been out of work, and more. Again, 97 00:05:58,200 --> 00:06:00,599 Speaker 1: this paints a much more accurate pick sure of how 98 00:06:00,640 --> 00:06:03,720 Speaker 1: well or how poorly different types of workers are faring 99 00:06:03,720 --> 00:06:08,920 Speaker 1: in the economy. Politicians are infamous for spinning the job's 100 00:06:08,920 --> 00:06:12,559 Speaker 1: report to make themselves and their policies look good, often 101 00:06:12,600 --> 00:06:17,360 Speaker 1: by cherry picking isolated data points that seem positive. For example, 102 00:06:17,520 --> 00:06:21,000 Speaker 1: during the pandemic, some politicians and economists pointed to a 103 00:06:21,040 --> 00:06:25,680 Speaker 1: steady growth in nominal wages that is, wages unadjusted for inflation, 104 00:06:26,040 --> 00:06:29,680 Speaker 1: as a sign of recovery. But how could wages be 105 00:06:29,800 --> 00:06:32,440 Speaker 1: up in twenty when so many people were out of work? 106 00:06:33,640 --> 00:06:36,520 Speaker 1: Gold explained it was because so many low wage workers 107 00:06:36,560 --> 00:06:39,040 Speaker 1: lost their jobs. But when you pull out the bottom 108 00:06:39,040 --> 00:06:41,039 Speaker 1: of the labor market, the average is going to be 109 00:06:41,120 --> 00:06:44,120 Speaker 1: higher because you're missing all of these low wage workers. 110 00:06:44,560 --> 00:06:47,200 Speaker 1: Taking that out of context would be an improper use 111 00:06:47,240 --> 00:06:51,840 Speaker 1: of the data. When the April Jobs report, which came 112 00:06:51,839 --> 00:06:56,599 Speaker 1: out in May, showed lower than expected growth, some business owners, 113 00:06:56,720 --> 00:06:59,880 Speaker 1: the US Chamber of Commerce, and many Republicans were quick 114 00:07:00,040 --> 00:07:03,119 Speaker 1: to blame the expanded unemployment benefits offered under the Biden 115 00:07:03,120 --> 00:07:06,479 Speaker 1: administration for why people were not out looking for work. 116 00:07:07,640 --> 00:07:10,320 Speaker 1: Others said the real reasons for the sluggish numbers were 117 00:07:10,320 --> 00:07:13,280 Speaker 1: the lack of child care options for workers during a 118 00:07:13,320 --> 00:07:16,840 Speaker 1: time when students were learning from home, combined with the 119 00:07:16,880 --> 00:07:20,040 Speaker 1: low wages being offered for positions that involved dealing with 120 00:07:20,080 --> 00:07:25,520 Speaker 1: the public and exposing themselves to the coronavirus. The report, 121 00:07:25,600 --> 00:07:28,720 Speaker 1: which came out in June, also showed weak numbers, which 122 00:07:28,760 --> 00:07:31,440 Speaker 1: means that jobs recovery is going to take some time. 123 00:07:32,640 --> 00:07:35,800 Speaker 1: It's also important to note, though, that the initial figures 124 00:07:35,800 --> 00:07:38,760 Speaker 1: and the jobs report are revised over time as the 125 00:07:38,800 --> 00:07:42,520 Speaker 1: BLS collects more data. The official figures aren't locked in 126 00:07:42,680 --> 00:07:50,400 Speaker 1: until a year later. Today's episode is based on the 127 00:07:50,480 --> 00:07:53,560 Speaker 1: article why the US monthly Jobs Report matters on how 128 00:07:53,560 --> 00:07:56,680 Speaker 1: stuff works dot com, written by Dave Rouse. Brain Stuff 129 00:07:56,720 --> 00:07:58,680 Speaker 1: is production of by Heart Radio in partnership with how 130 00:07:58,720 --> 00:08:01,000 Speaker 1: stuff works dot Com and as produced by Tyler Clang. 131 00:08:01,400 --> 00:08:03,800 Speaker 1: Four more podcasts for my heart Radio. This is the 132 00:08:03,960 --> 00:08:06,720 Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to 133 00:08:06,760 --> 00:08:18,840 Speaker 1: your favorite shows. H