Wikinvest Wire

Birth-death model adjustments to payrolls

Monday, December 10, 2007

There's been a lot of talk over the last year about the Labor Department's birth death model and its impact on the monthly nonfarm payrolls report - it seemed like a good time to whip up a table to get a better idea of what's going on.
Recall that these estimates are used to arrive at the "unadjusted" changes to nonfarm payrolls along with data coming from the Labor Department's survey of state employment insurance records for some 400,000 businesses. The birth death model accounts for the "birth" and "death" of businesses that are not reflected in the regular survey.

This total is then subject to seasonal adjustments, which results in the monthly data that is widely reported in the media.

For example, the details of last Friday's labor report for the month of November showed a total of 240,000 new jobs via the establishment survey, of which 51,000 jobs could be attributed to the birth-death estimate (see above). This 240,000 figure was then seasonally adjusted down to 94,000 which is what you probably heard in the news.

So, last month the birth death model accounted for 21 percent of all new jobs reported which sounds reasonable. But, looking back in the BLS data you see that a total of about 1.5 million jobs now exist that weren't there a year ago and, of that total, over 1.1 million jobs are the result of the birth death model.

This seems like quite a bit - more than 70 percent - and this historically high ratio has been the major complaint about the birth-death adjustments.

Looking at the individual categories provides more detail.

In the Leisure and Hospitality category a total of 368,000 new jobs were created and 328,000 of them were from the birth death model - that's 89 percent.

For Trade, Transportation, and Utilities the total is 74 percent, for Professional and Business Services the total is 51 percent, and for Education and Health Services the total is 29 percent. Note that Education and Health Services is, by far, the single biggest source of job growth adding 561,000 jobs alone over the last 12 months.

The first category that appears to be seriously distorted by the birth death adjustment is Construction, where, before adding in the birth death adjustments, about 274,000 fewer jobs exist today than a year ago, but including the adjustment only 134,000 jobs have been lost.

Similarly, in the Financial Activities category, before adding in the birth death adjustments about 126,000 were lost over the last year, but with the adjustments the job loss is only about 12,000.

Both of these last two adjustments are obviously in error and will be subject to massive revisions.

Last year there was an upward revision of some 800,000 jobs due to the recalibration of the birth-death model long after the initial monthly data was released. Don't be surprised if the next downward revision matches this total.

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UPDATE: Monday 12/10, 2:55 PM

Here's a new chart - note the areas in red.

The Gain/Loss as Reported column is the 12-month total as of November (these are the not-seasonally adjusted numbers but it really doesn't make a difference). The Birth/Death Adjustment is the data from the table above from this page at the BLS. The Survey Data column is column 2 minus column 3 and the Birth/Death Adjustment as a percent of the total gain/loss as reported is column 3 as a percent of column 2.

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6 comments:

Anonymous said...

What about gross new jobs? Should the 1.1 million be measured against the 20+ million gross new jobs in the last year?

BlueEventHorizon said...

Not sure you can add total b/d and divide by total jobs added and infer x% of the jobs are due to b/d.

Essentially each previous month's b/d are zeroed out because change in total jobs uses the previous month's survey + previous month's b/d as a baseline.

For instance, imagine the survey indicate 150m jobs, b/d is set to +100k, then this month's employment if 150.1m.

Next month the survey shows 150.05m jobs and b/d is once again set to +100k. Then this month's employment is 150.15m.

Change in employment is 150.15-150.1 = 0.05 = 50k. i.e. last month's b/d estimate is subtracted out when calculating the change between this month's and last month's employment, because it is included in last month's total jobs.

Tim said...

All the calculations are based on 12 month gains/losses - from November 06 to November 07. I believe this a valid way to look at it as "not seasonally adjusted" data contains the the actual survey data plus the adjustment that is reported separately. I'm adding a another chart to summarize what I wrote about at the end.

BlueEventHorizon said...

I hear you, Tim - it's very hard to get at the mechanics of the b/d adjustment and then there's the interaction between b/d and the seasonal adjustments.

The BLS web site is not too clear on the topic either!

I'll see if I can find any definitive answer - I do recall reading that you can't just total up each months b/d to get at the net b/d for the year.

Suffice to say, the b/d definitely adjusts in the wrong direction at a change in trend (the BLS site even 'fesses up to this).

EconomicDisconnect said...

Great Post!
I think its time the FED, the government, the NAR, and the mortgage securitization market all provide their mystical models to the public for review. Why do I have a bad feeling the models are nothing but one of those magic 8-balls you get at the joke store?

Anonymous said...

I just finished reading Taleb's book, "The Black Swan." The big question on the BD model is whether they are assuming Gaussian distributions on their estimates. If so, they could be terribly wrong, and their estimates of certainty could be finely packaged garbage.

- Pete

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