Tacking yet another new calendar to the wall makes me feel, well, old, and that in turn makes me think about the next generation. Judging by chats with readers in recent weeks, I’m not the only one. It’s no secret that manufacturing has a graying work force. Even during tough times, metal fabricators struggle to find talent graduating from high schools, technical colleges, and engineering schools.
Posts Tagged ‘structural unemployment’
Junk e-mail and unemployment
December 6th, 2010
By: Tim Heston
By: Tim Heston
I used to joke about my own little leading economic indicator, the JEI ... or my “Junk E-Mail Index.” I sometimes called it the FEI too, replacing “junk” with “forwarded.” In the 1990s, when e-mail was new and unemployment was incredibly low, my JEI was incredibly high. I attributed this partly to the novelty of it all. Pushing just a single button to send a message instantly was just so cool, so why not forward junk around and press that button even more? But I think there was another reason too: People sitting in the cubicle farms of the day also had time to waste.
Then in 2001, my JEI dropped abruptly. The dot-com bubble had burst and companies were downsizing. My employed friends were too busy to fire off those time-wasting emails. Still, the JEI climbed slowly through the decade; again, people had time to waste. Then in 2009 it just dropped off a cliff. The only junk emails I get now are advertisements, not forwards from friends. We’re all just too busy.
Two realities of economic recovery
November 30th, 2010
By: Tim Heston
By: Tim Heston
After more than a year looking, my neighbor finally landed a job. He previously worked as a construction manager, which is undoubtedly why it took him so long to find work again. His new job isn’t in construction but instead is related to supply chain management. He sells software that helps various tier suppliers communicate more efficiently. At a recent holiday get-together, neighbors came by to congratulate him. It’s so good to see someone get back on firm financial footing.
Then there’s the house up the street. Two months ago the vacant dwelling was sold at a fraction of its original value. Then there’s another house that’s been on the market longer than my 3-year-old daughter has been alive.
Sheesh.
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Waiting for the first shoe to drop
September 23rd, 2010
By: Eric Lundin
By: Eric Lundin
I looked at my colleagues’ blog posts (or rants as Tim calls them) and noticed that employment is a hot topic, so I figured I’d throw out my two cents’ worth on the topic. I think it’s fair to say that nearly everyone—not just people in manufacturing, but everyone—is wondering when the jobs are going to come back, and while I don’t have an answer, I think I can shed some light on this.
The unemployment rate gets a lot of press during recessions. It’s the main job situation barometer, but it has some drawbacks. It is updated just monthly is subject to several revisions. Another strand of job-related data, the number of claims for unemployment insurance, might be a better indicator. It is tallied weekly and revised just once.
Before I go any further, I should point out that neither of these data sources is a perfect indicator of joblessness.
The number of claims for unemployment insurance is probably the more accurate of the two. It’s based on initial or continued claims for unemployment insurance, which are filed by the unemployed in each state and counted at the federal level. The problem is that some people are unemployed for long periods of time; if they haven’t found employment when the benefits expire, they are no longer counted. In contrast, the unemployment rate is less accurate. It’s based on periodic household telephone surveys, so it’s just a random sampling.
Moving along, how do the two correlate? Not perfectly, but the relationship is clear. The number of initial claims for unemployment insurance rises before the unemployment rate rises, and falls before the unemployment rate falls. In other words, in comparing the two, initial claims for unemployment insurance is pretty reliable as a leading indicator.
That said, the two don’t rise and fall by the same amounts or at the same rate. Throughout the 1990s, for example, the unemployment rate decreased more or less steadily. It fell from 7.1 percent in February 1993 to 3.9 percent in December 2000. During the same time frame, the number of claims had quite a few ups and downs, varying from 266,000 per week to 380,000 per week.
What’s happening now? Initial claims peaked at 663,000 per week in April 2009. It fell to 433,000 per week in January and has bounced around a bit since then, but in the grand scheme of things, it has been flat ever since. The unemployment rate peaked at 10.1 percent six months later (October 2009). It has fallen a bit, but essentially it has held steady and remains at 9.6 percent.
What’s happening next? That’s hard to say, but the number of initial claims is worth watching. The unemployment rate won’t fall until the number of initial claims for unemployment insurance falls, and the unemployment rate will lag by several months.
