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I already included the UE to NILF data: " 2,686,000 unemployed stopped looking for work,"For another look at March-April, let's go to a BLS research series: Labor Force Flows
We see that of the 87,897,000 people Not in the Labor Force in March, 3,515,000 looked for and found work (or had looked months before, stopped looking but were finally hired from the older application), 2,761,000 started looking (unsuccessfully) for work, 81,433,000 stayed Not in the Labor Force, and 189,000 left the population (died, emmigrated, went to jaii or nursing home or the military).
At the same time, 3,993,000 people went from Employed to Not in the Labor Force. Some retired, some stayed home to look after the kids, some just hadn't started looking for work yet. 2,686,000 unemployed stopped looking for work, and 306,000 immigrated without work, or (mostly) turned 16 without working or looking for work, or otherwise entered the population as Not in the Labor Force.
Interesting point: 2,010,000 people went from Employed to Unemployed, but 2,272,000 went from Unemployed to Employed.
(How many of the UE went to the not in cat)
Another interesting point: While many are claiming the increase in NILF is due to people "giving up," more of the gross change into NILF was from Employed. Less than half the people going into NILF "stopped looking."
Good Information
The not-in number went up 500,000 in April
Spin was not my intent. My intent was to show that the UE rate has fallen well over 1% in the last 12 months, yet the rate of employment to the population is unchanged
Does it not make sense those leaving the work force for what ever reason is the only reason the UE rate has fallen?
okay
Yeah, I think it's an excellent question, when the ratios aren't adding up right. And it bugged me.
I'm assuming that pingy is right as he seems to be generally so and he found an excellent report on the flows.
I'm totally with you on the annoyance of the ratios being at odds. And it turns out there are to possible reasons.
I like to be sure I understand how the formulas work so I get what the number really mean. After I understand the formulas, then I can go looking at the numbers more closely when they are funny.
The basic thing is that when the economy is coming out of an "employment recession" (employment lags behind the recession) is exactly the time when these ratios get all squirrely.
For me, first I need to make sure I understand how the formulas work out. Then I have to put this into plain English. I don't really get it until I have it in plain English. Then I can go look at the numbers and see how they fit.
Sometimes the plain English is clear. I can say that the ratios get all squirrely, and it's a good statement. But is doesn't explain why. And the good explanation of why just doesn't yield to simple plain English.
Most of this we already get;
The (un)employment to labor force numbers are only two,
Emp_rate + Unemp_rate = 1 If Emp_rate goes up, Unemp_rate must go down.
But we also get that they are all ratios of the labor force.
Emp/LF + Unemp/LF = 1 and LF = Emp + Unemp.
We know that if the labor force is changing "oddly" then the ratios do not necessarily mean what we expect. What we expect them to mean is that people move from unemployed to employed and the labor force. But, we also get that, people might just leave the labor force and the numbers get messed up.
Typically, we expect this to occur as they leave the ranks of the unemployed. Unemp drops a bunch, LF drops by the same amount, but by a lesser ratio. So Unemp_rate falls. At the same time, no one leaves the employment ranks and the labor force falls, so the emp-rate increases. And we get that this confounds what the ratios mean. And, it's a condition where the ratios are changing in a way that we were expecting to be a good thin when in fact it's not.
I liked pingy's point that the BLS is giving the same numbers that they always do. It's what they always provide. There not going to come up with some new one.
The fact that this current situation highlights a problem with the meaning of the ratios makes it stand out. A more comprehensive examination quickly points out that we can get the opposite effect with an increasing labor force. People decide to look for work, LF goes up a little, unemp goes up a lot, and unemployment rises. It's the same effect as the other, it just doesn't bug us. It's telling us that things are "worse" then they really are, not better then they really are.
The situation is worsened with the CPOP ratios. The reason is that it takes three ratios to get to one.
Er-pop + UEr-pop + NILFr-pop = 1
And LF_participation_rate = Er-pop + UEr-pop
These have what the mathy guys call two degrees of freedom. If only one is pinned down, the other two can still move about.
It's not so odd when interpreting the first one. If Er-pop stays constant, then for UE-r-pop to fall, NILFr-pop must go up. That's great because it's what we expect.
For the second one, we would be all cool with it if Er-pop increases while UEr-pop fell, and LF_participation _rate stayed constant. That is what we want.
The thing gets odd if Er-pop is constant , then for UEr-pop to fall LF_participation_rate must fall. This is annoying because that isn't what we want the numbers to do. And it can happen for two reasons.
The first is what we immediately consider, that people are leaving the labor force. And yeah, it could be just that.
The problem is that it can happen for a completely innocuous reason, simply that population is increasing and employment is increasing proportionally. In this case, unemployment is falling as a percentage of population, which is okay, not great, but okay. The only thing left to give is the labor force participation rate. It has to fall, not because people are leaving the labor force, but because population is increasing faster then they are joining. They are joining the employment, just not the unemployment.
Think of it this ways, people are entering employment as fast as they are leaving unemployment and others are entering unemployment as fast as the first are entering employment. It just gets a bit odd because everything is at this awkward balance.
And the really annoying part is that this shit happens exactly when the economy is transitioning out of a recession. At the very time when we really want these numbers to make sense, they don't.
So it isn't so particularly odd that we find Er-pop flat while UEr is falling. It is annoying. The first thing is that Er-pop is a different ratio then UEr. One is per population, the other per labor force. And currently I haven't figured out how to compare them directly.
The pisser is that this problem with the ratios is likely to occur at exactly the time when we want them to make sense, when the economy is transitioning out of an employment recession. It means that, for a period of time, we can't tell what the H is happening by just looking at the ratios themselves.
I really think pingy is on the right track, looking at the flows. I'm not there yet. I still have to look at the actual levels and see if they fit into the situation that we intuitively expect or that odd situation.
Actually, no. "Employment Rate" refers to the Employment to Population Ratio. I'm not aware of anyone who uses E/LF for anything. It's not necessary since it's just the reciprocal.Most of this we already get;
The (un)employment to labor force numbers are only two,
Emp_rate + Unemp_rate = 1 If Emp_rate goes up, Unemp_rate must go down.
For another look at March-April, let's go to a BLS research series: Labor Force Flows
We see that of the 87,897,000 people Not in the Labor Force in March, 3,515,000 looked for and found work (or had looked months before, stopped looking but were finally hired from the older application), 2,761,000 started looking (unsuccessfully) for work, 81,433,000 stayed Not in the Labor Force, and 189,000 left the population (died, emmigrated, went to jaii or nursing home or the military).
At the same time, 3,993,000 people went from Employed to Not in the Labor Force. Some retired, some stayed home to look after the kids, some just hadn't started looking for work yet. 2,686,000 unemployed stopped looking for work, and 306,000 immigrated without work, or (mostly) turned 16 without working or looking for work, or otherwise entered the population as Not in the Labor Force.
Interesting point: 2,010,000 people went from Employed to Unemployed, but 2,272,000 went from Unemployed to Employed.
(How many of the UE went to the not in cat)
Another interesting point: While many are claiming the increase in NILF is due to people "giving up," more of the gross change into NILF was from Employed. Less than half the people going into NILF "stopped looking."
Actually, no. "Employment Rate" refers to the Employment to Population Ratio. I'm not aware of anyone who uses E/LF for anything. It's not necessary since it's just the reciprocal.Most of this we already get;
The (un)employment to labor force numbers are only two,
Emp_rate + Unemp_rate = 1 If Emp_rate goes up, Unemp_rate must go down.
But let's put all 8 published ratios into words. ALL are "true," but they give a different perspective because they measure different things.
Labor Force Percentage: Labor Force as a percent of the population. Labor Force being Employed + Unemployed. This tells us the percent of the population that is available for work...they WANT to work, they CAN work, and they're DOING something about it...either by working or looking for work.
Employment Rate: aka employment-population ratio.
This tells us how much of the population is working...but it DOESN'T tell us why people arent' working.
The not in labor force grew mostly from people who do not want a job, 2.8 million and most of them were people over 55 years old, 1.9 million. Discouraged workers actually went down 21 thousand over the year!!!!!!For another look at March-April, let's go to a BLS research series: Labor Force Flows
We see that of the 87,897,000 people Not in the Labor Force in March, 3,515,000 looked for and found work (or had looked months before, stopped looking but were finally hired from the older application), 2,761,000 started looking (unsuccessfully) for work, 81,433,000 stayed Not in the Labor Force, and 189,000 left the population (died, emmigrated, went to jaii or nursing home or the military).
At the same time, 3,993,000 people went from Employed to Not in the Labor Force. Some retired, some stayed home to look after the kids, some just hadn't started looking for work yet. 2,686,000 unemployed stopped looking for work, and 306,000 immigrated without work, or (mostly) turned 16 without working or looking for work, or otherwise entered the population as Not in the Labor Force.
Interesting point: 2,010,000 people went from Employed to Unemployed, but 2,272,000 went from Unemployed to Employed.
(How many of the UE went to the not in cat)
Another interesting point: While many are claiming the increase in NILF is due to people "giving up," more of the gross change into NILF was from Employed. Less than half the people going into NILF "stopped looking."
I think you have found the best way of understanding it.
The flows for E to NILF and UE to NILF for April were
4/1/2012 (Unadj) Labor Force Flows Employed to Not in Labor Force 3,481,000
4/1/2012 (Unadj) Labor Force Flows Unemployed to Not in Labor Force 2,766,000
4/1/2012 (Seas) Labor Force Flows Employed to Not in Labor Force 3,993,000
4/1/2012 (Seas) Labor Force Flows Unemployed to Not in Labor Force 2,686,000
Any thing else, and it's all just supposition. Even the rates are squirrely.
Actually, no. "Employment Rate" refers to the Employment to Population Ratio. I'm not aware of anyone who uses E/LF for anything. It's not necessary since it's just the reciprocal.Most of this we already get;
The (un)employment to labor force numbers are only two,
Emp_rate + Unemp_rate = 1 If Emp_rate goes up, Unemp_rate must go down.
But let's put all 8 published ratios into words. ALL are "true," but they give a different perspective because they measure different things.
Labor Force Percentage: Labor Force as a percent of the population. Labor Force being Employed + Unemployed. This tells us the percent of the population that is available for work...they WANT to work, they CAN work, and they're DOING something about it...either by working or looking for work.
Employment Rate: aka employment-population ratio.
This tells us how much of the population is working...but it DOESN'T tell us why people arent' working.
Just as a check, here are the april levelsas ratios.
Date april/2012
E/LF(seas) 91.9%
UE/LF(seas) 8.1%
E/CPOP(seas) 58.4%
UE/CPOP(seas) 5.2%
NILF/CPOP(seas) 36.4%
UE/LF is 8.1%
UE/CPOP is 5.2%
When we speak of the unemployment rate, aren't we talking about that 8.1%?
The not in labor force grew mostly from people who do not want a job, 2.8 million and most of them were people over 55 years old, 1.9 million. Discouraged workers actually went down 21 thousand over the year!!!!!!For another look at March-April, let's go to a BLS research series: Labor Force Flows
We see that of the 87,897,000 people Not in the Labor Force in March, 3,515,000 looked for and found work (or had looked months before, stopped looking but were finally hired from the older application), 2,761,000 started looking (unsuccessfully) for work, 81,433,000 stayed Not in the Labor Force, and 189,000 left the population (died, emmigrated, went to jaii or nursing home or the military).
At the same time, 3,993,000 people went from Employed to Not in the Labor Force. Some retired, some stayed home to look after the kids, some just hadn't started looking for work yet. 2,686,000 unemployed stopped looking for work, and 306,000 immigrated without work, or (mostly) turned 16 without working or looking for work, or otherwise entered the population as Not in the Labor Force.
Interesting point: 2,010,000 people went from Employed to Unemployed, but 2,272,000 went from Unemployed to Employed.
(How many of the UE went to the not in cat)
Another interesting point: While many are claiming the increase in NILF is due to people "giving up," more of the gross change into NILF was from Employed. Less than half the people going into NILF "stopped looking."
I think you have found the best way of understanding it.
The flows for E to NILF and UE to NILF for April were
4/1/2012 (Unadj) Labor Force Flows Employed to Not in Labor Force 3,481,000
4/1/2012 (Unadj) Labor Force Flows Unemployed to Not in Labor Force 2,766,000
4/1/2012 (Seas) Labor Force Flows Employed to Not in Labor Force 3,993,000
4/1/2012 (Seas) Labor Force Flows Unemployed to Not in Labor Force 2,686,000
Any thing else, and it's all just supposition. Even the rates are squirrely.
A-38. Persons not in the labor force by desire and availability for work, age, and sex
The not in labor force grew mostly from people who do not want a job, 2.8 million and most of them were people over 55 years old, 1.9 million. Discouraged workers actually went down 21 thousand over the year!!!!!!I think you have found the best way of understanding it.
The flows for E to NILF and UE to NILF for April were
4/1/2012 (Unadj) Labor Force Flows Employed to Not in Labor Force 3,481,000
4/1/2012 (Unadj) Labor Force Flows Unemployed to Not in Labor Force 2,766,000
4/1/2012 (Seas) Labor Force Flows Employed to Not in Labor Force 3,993,000
4/1/2012 (Seas) Labor Force Flows Unemployed to Not in Labor Force 2,686,000
Any thing else, and it's all just supposition. Even the rates are squirrely.
A-38. Persons not in the labor force by desire and availability for work, age, and sex
The report of predigested data is so much easier.
Here is are odd categories in the CPS flows.
Date...... series_description..............................................................value (thousands)
4/1/2012 (Unadj) Labor Force Flows Employed to Employed 136354
4/1/2012 (Unadj) Labor Force Flows Not in Labor Force to Not in Labor Force 82320
4/1/2012 (Unadj) Labor Force Flows Unemployed to Unemployed 7761
4/1/2012 (Unadj) Employed to other Marginal Outflows 24
4/1/2012 (Unadj) Marginal Inflows to Employed 67
4/1/2012 (Unadj) Marginal Inflows to Not in Labor Force 312
4/1/2012 (Unadj) Marginal Inflows to Unemployed 15
4/1/2012 (Unadj) Not in Labor Force to other Marginal Outflows 189
4/1/2012 (Unadj) Unemployed to other Marginal Outflows 2
I have no idea what "marginal inflows" and "marginal outflows" means.
I don't want to assume what "unemployed to unemployed" means. It might mean exactly what it looks like, those that didn't move out of the category. If it does, then things should all add up to the totals. That
The not in labor force grew mostly from people who do not want a job, 2.8 million and most of them were people over 55 years old, 1.9 million. Discouraged workers actually went down 21 thousand over the year!!!!!!
A-38. Persons not in the labor force by desire and availability for work, age, and sex
The report of predigested data is so much easier.
Here is are odd categories in the CPS flows.
Date...... series_description..............................................................value (thousands)
4/1/2012 (Unadj) Labor Force Flows Employed to Employed 136354
4/1/2012 (Unadj) Labor Force Flows Not in Labor Force to Not in Labor Force 82320
4/1/2012 (Unadj) Labor Force Flows Unemployed to Unemployed 7761
4/1/2012 (Unadj) Employed to other Marginal Outflows 24
4/1/2012 (Unadj) Marginal Inflows to Employed 67
4/1/2012 (Unadj) Marginal Inflows to Not in Labor Force 312
4/1/2012 (Unadj) Marginal Inflows to Unemployed 15
4/1/2012 (Unadj) Not in Labor Force to other Marginal Outflows 189
4/1/2012 (Unadj) Unemployed to other Marginal Outflows 2
I have no idea what "marginal inflows" and "marginal outflows" means.
I don't want to assume what "unemployed to unemployed" means. It might mean exactly what it looks like, those that didn't move out of the category. If it does, then things should all add up to the totals. That
"Other inflows" are people who are entering the Population, meaning they turned 16, immigrated, or were released from the military, prison, or other institution.
"Other outflows" are people leaving the population: deaths, emigration, incarceration, institutionalization, and entering active duty military
And yes, X to X are those whose status hasn't changed.
Actually, no. "Employment Rate" refers to the Employment to Population Ratio. I'm not aware of anyone who uses E/LF for anything. It's not necessary since it's just the reciprocal.Most of this we already get;
The (un)employment to labor force numbers are only two,
Emp_rate + Unemp_rate = 1 If Emp_rate goes up, Unemp_rate must go down.
But let's put all 8 published ratios into words. ALL are "true," but they give a different perspective because they measure different things.
Labor Force Percentage: Labor Force as a percent of the population. Labor Force being Employed + Unemployed. This tells us the percent of the population that is available for work...they WANT to work, they CAN work, and they're DOING something about it...either by working or looking for work.
Employment Rate: aka employment-population ratio.
This tells us how much of the population is working...but it DOESN'T tell us why people arent' working.
Just as a check, here are the april levelsas ratios.
Date april/2012
E/LF(seas) 91.9%
UE/LF(seas) 8.1%
E/CPOP(seas) 58.4%
UE/CPOP(seas) 5.2%
NILF/CPOP(seas) 36.4%
UE/LF is 8.1%
UE/CPOP is 5.2%
When we speak of the unemployment rate, aren't we talking about that 8.1%?
It was 58.4%The simple way to see the economy is flat to slowing is the Employed rate vs population
we have about the same % rate (by memory 54.4%)
simply put there are no jobs being created
Person enters the work force, either he/she gets a job or one from 08-09 collapse gets a job
There has been allot more people left the work force than entered it by 100% (twice as many) but the Employed rate has not changed
It was 58.4%The simple way to see the economy is flat to slowing is the Employed rate vs population
we have about the same % rate (by memory 54.4%)
simply put there are no jobs being created
Person enters the work force, either he/she gets a job or one from 08-09 collapse gets a job
There has been allot more people left the work force than entered it by 100% (twice as many) but the Employed rate has not changed
And in April 2011 there were 139,628,000 employed.
In April 2012 there were 141,865,000 employed.
That's an increase of 2,237,000 employed at the same 58.4% rate, that you say equals zero jobs created.
And the people who left the labor force mostly didn't want a job, like retirees, students, stay at home moms, etc., 2,785,000 in total. The number of people not in the labor force who WANT a job went DOWN during that same April 2011 to 2012 period from 6,482,000 to 6,328,000.
The simple way to see the economy is flat to slowing is the Employed rate vs population...
Only if you are so bad at math that 2-3million equals 0simply put there are no jobs being created
It was 58.4%The simple way to see the economy is flat to slowing is the Employed rate vs population
we have about the same % rate (by memory 54.4%)
simply put there are no jobs being created
Person enters the work force, either he/she gets a job or one from 08-09 collapse gets a job
There has been allot more people left the work force than entered it by 100% (twice as many) but the Employed rate has not changed
And in April 2011 there were 139,628,000 employed.
In April 2012 there were 141,865,000 employed.
That's an increase of 2,237,000 employed at the same 58.4% rate, that you say equals zero jobs created.
And the people who left the labor force mostly didn't want a job, like retirees, students, stay at home moms, etc., 2,785,000 in total. The number of people not in the labor force who WANT a job went DOWN during that same April 2011 to 2012 period from 6,482,000 to 6,328,000.