Absolute values, like 6.3 or 6.1 million, are meaningless. Population grows. Just as well, it says nothing about what the natural rate is. For all we know, the natural rate is 4.0 million people, even under the lowest unemployment levels.
The lowest level that WAJN has ever achieved, closer to the natural level, is 4 million. So, even including the "Not available to work now" and "Reasons other than discouragement", that puts the excess at 2.3 million.
Meaningless?
Even CBS dis agrees with you, this stuff is really simple
he drop in the unemployment rate comes with an asterisk: while there was a 278,000 gain in employment, t
here was a concurrent labor force decline of 315,000 from October. It would be far preferable for the unemployment rate to drop because the economy is creating over 200,000 per month consistently, rather than due to would-be employees leaving the work force, either because they're retiring or they're simply too discouraged to keep looking for a job. If some of those people resume their job searches, we could see the unemployment rate tick up next month.
November Unemployment: Why the big drop? - CBS News
The civilian labor force dropped another 300,000 this month while the not-in force grew 500,000
These numbers have everything to do with the UE rate changing, in fact there having more of an impact than actual job growth is, twice as much latley
If 50% of the numbers had went into the labor force sense November than has we would have had huge swing in UE% rate the wrong way
Changing Demographics cannot explain all if this in my opinion
Nothing in the article disagrees with my saying that absolute numbers don't mean much. Every value in the article is referenced to something, even "Total Number of Unemployed: 13.3 million (from 13.9 million)" That is a comparison of one level to another. It has some traction, though it is still not quite as meaningful because it doesn't reference how a .6 mil drop compares to the typical change.
I didn't say that the unemployment rate doesn't go down because the labor force decreases. I just said that 6.1 million, as an absolute level, doesn't mean much. That is why I went after a lower boundary, 4 million, so that it is comparable to something. And I see that, oddly enough, it was as high back in the beginning when they started collecting WAJN data. I have no clue what it means, but at least it's a reference point.
So yes, as an absolute number, it's meaningless. As I quoted the entire post, I didn't leave out any comparison value. And none was given. I don't recall it being compared to anything as I scanned the thread.
A drop has some meaning because it's not an absolute number. Even then, it may not be very meaning full for a number of reasons.
It would be preferable "for the unemployment rate to drop because the economy is creating over 200,000 per month consistently". Unfortunately, the economy is not consistent. That is why we can only look at trends, not absolute months or data points.
Have you looked at the month to month or quarter to quarter GDP data? The month to month CPI data? The day to day stock market prices? Why would we expect employment data to have any less variability in it? (That's not a rhetorical question. Some things have physical limitations, some things don't. What, one might ask, is reasonably less constrained by actual physics and what is purely psychological?)
BTW, the CBS articles point is meaningless because she was discussing November and the first consideration coming into the winter is seasonal variability. It usually falls coming into the winter. That the author didn't mention this obvious fact doesn't speak well of her. But then, she's not a statistician and probably hasn't studies statistics, sampling, or surveys in her financial education.
And, her point is well taken, but she really didn't address why it dropped. She made a good point in general, but wasn't exactly committal to addressing why the labor force dropped. It would be a much better point if she was making it in May.
You're making a better point applying her comment to April then she was in December. It generally goes up coming into the summer, so a drop coming into the summer is a bit more questionable.
Yeah, if "some of those people resume their job searches, we could see the unemployment rate tick up next month." Absolutely.
But, a single month change doesn't mean much. The labor force and employment varies from month to month, up and down. Since 1979, the March to April change in the labor force has fallen by as much as -.44% and risen by as much as -0.36%. There is random variability. This March to April change was -0.27%. That is well within the range of March to April changes.
WAJN does attempt to gauge the reason that they aren't looking. But, in further examination, it includes things that we really aren't considering for our interest, like "Reasons other than discouragement". It is reasonable to take those out first.
And it doesn't include a category for "I retired" or "I retired but am still looking for work." Unless the CPS surveyed those people that left the workforce and asked them if they retired, there is no way to conclude that they left the workforce because they retired. We really can't use the number of people retiring with the CPS data, not in any direct sense. Not without very detailed understanding of the two survey methods.
I sure would like it if the CPS included a category for retired and not working. I saw some mention that the labor force is 16 to retirement age of 65, but I haven't confirmed that and it is in conflict with other information. That the CBS author put "discouraged" and "retired" into the same sentence makes her suspect.
In general, estimates from one survey cannot be reliably subtracted from estimates of another survey. The general trends can be compared. But the estimates, like how many people have retired and how many people have are in the labor force, cannot be subtracted.
They are estimates, they have sampling error. Combining them combines the sampling error. The data and estimates within a survey are internally consistent. They can be subtracted and added because they are tied together in each questionnaire, each data point. Estimates between different surveys are not guaranteed to be consistent.
And the groups that are being counted in two separate surveys are not necessary mutually exclusive. I think that was someone's point earlier, that "retired" doesn't mean not working. I would expect quite a few people that had expected to retire are not and that there are others that lost a job and decided to just go ahead and retire. There is just no way to know what the retirement numbers mean in terms of the CPS.
We get a lot more traction out of looking at the subcategories under WAJN then we do trying to compare the numbers from completely separate surveys. At the very least, seeing as the WAJN data is part of the CPS, that is where we should start.
Even then, we need something to gauge it against, like an average and the variability.
Personally, I don't put much stock in a single month's unemployment rate. It just doesn't mean much, up or down. It's the trend that is important.
Look, it's like having a crappy speedometer that bounces all over the place. A snapshot doesn't tell us if we are doing 45, 50, or 55 mph.