Enormous Discrepancy Between Jobs and Employment Continues

By: Mike Shedlock | Fri, Dec 6, 2013
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Now that employment distortions related to the government shutdown in October are behind us, let's take a detailed look at the recent and growing discrepancy between jobs as reported on the establishment survey and employment as reported on the household survey.

Jobs vs. Employment Discussion

Before diving into the details, it is important to understand limits on data, and how the BLS measures jobs in the establishment survey vs. employment in the household survey.

Establishment Survey: If you work one hour that counts as a job. There is no difference between one hour and 50 hours.

Establishment Survey: If you work multiple jobs you are counted twice. The BLS does not weed out duplicate social security numbers.

Household Survey: If you work one hour or 80 you are employed.

Household Survey: If you work a total of 35 hours you are considered a full time employee. If you work 25 hours at one job and 10 hours at another, you are a fulltime employee.

Household Survey vs. Establishment Survey

Civilian Employment (CE16OV) vs All Employees: Total nonfarm (PAYEMS) - stlousfid.org

Over time, and with revisions, the two data series move in sync (as they should in normal conditions):

However, there has been a serious discrepancy between the two data series in the last month that is not apparent in the above chart. A few tables will show what I mean.

Household vs. Establishment Year-Over-Year Comparisons

Household vs. Establishment Year-Over-Year Comparisons

Household vs. Establishment Year-Over-Year Averages

Household vs. Establishment Year-Over-Year Averages

Household vs. Establishment Month-Over-Month Changes

Household vs. Establishment Month-Over-Month Changes

The third table shows the volatile nature of the data, especially the household survey. It's the second table that is the important one. Take special note of the bottom two lines in the second table.

Until this past year, the establishment survey and household survey moved tightly. In the last 12 months, the payroll survey averaged a gain of 191,000 jobs a month while the household survey averaged less than half of that at 92,000 jobs per month.

Blame Obamacare

Obamacare is the most likely explanation for the discrepancy.

Recall that the definition of fulltime under Obamacare is 30 hours, but fulltime to the BLS is 35 hours.

Next, consider what happens under Obamacare if someone working 34 hours is cut back to 25 hours, then picks up another parttime job.

Obamacare Effect

Prior to Obamacare
34 hours worked = 1 parttime job household survey
34 hours worked = 1 job establishment survey

Enter obamacare
Person cut back to 25 hours and takes a second job for 10 hours
Here is the new math

25 + 10 = 1 fulltime job on the household survey.
25 + 10 = 2 jobs on the establishment survey.

In my example, the household survey totals up all the hours and says, voilla! (35 hours = full time). So a few extra hours that people pick up working 2 part time jobs now throws someone into full time status - thus no surge in part-time employment, but there is a surge in jobs.

I commented on this discrepancy last month and repeat my claim again today.

Request to ADP

To prove my thesis, we need to weed out duplicate social security numbers. The BLS can't, but ADP can. I contacted them twice but to no avail.

I would like ADP to crunch the data and determine how many duplicate social security numbers show up vs. the same months in prior years. If I am wrong it won't be the first time. But let's have a look at the numbers and see what they say.


For further discussion and a synopsis of what really happened in today's job report, please see Beneath the Headline Numbers, Not a Good Jobs Report



Mike Shedlock

Author: Mike Shedlock

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Mike Shedlock

Michael "Mish" Shedlock is a registered investment advisor representative for SitkaPacific Capital Management. Visit http://www.sitkapacific.com/ to learn more about wealth management for investors seeking strong performance with low volatility.

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