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posted on 06 February 2015

BLS Jobs Situation Continued to Improve in January 2015 With Year-over-Year Rate of Growth Accelerating

Written by Steven Hansen

The BLS jobs report headlines from the establishment survey were strong and above expectations. The unadjusted data shows very strong jobs growth. This was the annual re-benchmarking month for the BLS - and all employment levels for 2014 were revised up. In any event, the year-over-year growth rates are improving. The household survey again says something different.

  • The rate of growth for employment is accelerating (red line on graph below).

Unadjusted Non-Farm Private Employment - Year-over-Year Change (blue bars) and Year-over-Year Growth Acceleration / Deceleration (red line)

z bls2.png

  • The unadjusted jobs added month-over-month was strong and better than last year (year-over-year comparisons).
  • economic intuitive sectors of employment were strong.
  • This month's report internals (comparing household to establishment data sets) AGAIN were fairly inconsistent with the household survey showing seasonally adjusted employment growing 1,051,000 vs the headline establishment number of growing 257,000. The point here is that part of the headlines are from the household survey (such as the unemployment rate) and part is from the establishment survey (job growth). From a survey control point of view - the common element is jobs growth - and if they do not match, your confidence in either survey is diminished. [note that the household survey includes ALL jobs growth, not just non-farm).
  • The monthly comment from the National Federation of Independent Business (NFIB) on jobs growth is below.

A summary of the employment situation:

  • BLS reported: 257K (non-farm) and 267K (non-farm private). Unemployment marginally worsened from 5.6% to 5.7%.
  • ADP reported: 213K (non-farm private)
  • In Econintersect's January 2015 economic forecast released in late December, we estimated non-farm payroll growth at 190,000 (unadjusted based on economic potential) and 265,000 (fudged based on current overrun of economic potential).
  • The market expected:
Seasonally Adjusted Data Consensus Range Consensus Actual
Nonfarm Payrolls - M/M change 215,000 to 275,000 230,000 257,000
Unemployment Rate - Level 5.5 % to 5.7 % 5.6 % 5.7 %
Private Payrolls - M/M change 215,000 to 268,000 229,000 267,000
Average Hourly Earnings - M/M change 0.1 % to 0.4 % 0.3 % +0.5 %
Av Workweek - All Employees 34.5 hrs to 34.6 hrs 34.6 hrs 34.6 hrs

The BLS reports seasonally adjusted data - manipulated with multiple seasonal adjustment factors, and Econintersect believes the unadjusted data gives a clearer picture of the jobs situation.

Non-seasonally adjusted non-farm payrolls declined 2,241,000 - an average decline for January employment in the 21st century. Januarys employment always contracts.

Historical Unadjusted Private Non-Farm Jobs Growth Between Decembers and Januarys (Table B-1, data in thousands) - unadjusted (blue line) vs seasonally adjusted (red line)

bls non-adjusted change.PNG

Last month's seasonally adjusted employment was revised up.

Change in Seasonally Adjusted Non-Farm Payrolls Between Originally Reported (blue bars) and Current Estimates (red bars)

z bls1.png

Most of the analysis below uses unadjusted data, and presents an alternative view to the headline data.

Unemployment

The BLS reported U-3 (headline) unemployment marginally worsened 0.1% to 5.7% with the U-6 "all in" unemployment rate (including those working part time who want a full time job) worsened 0.1% to 11.1%. These numbers are volatile as they are created from the household survey.

BLS U-3 Headline Unemployment (red line, left axis), U-6 All In Unemployment (blue line, left axis), and Median Duration of Unemployment (green line, right axis)

Econintersect has an interpretation of employment supply slack using the BLS unadjusted data base, demonstrated by the graph below. The employment-population ratio improved 0.1 to 59.3.

Employment-Population Ratio

The jobs picture - when the employment / population as a whole - has been on an uptrend since mid-2011. This ratio is determined by household survey.

  • Econintersect uses employment-populations ratios to monitor the jobless situation. The headline unemployment number requires the BLS to guess at the size of the workforce, then guess again who is employed or not employed. In employment - population ratios, the population is a given and the guess is who is employed.
  • In this latest BLS report employment-population ratio improved to 59.3 - this ratio has been in a general uptrend since the beginning of 2014. The employment-population ratio tells you the percent of the population with a job. Each 0.1% increment represents approximately 300,000 jobs. [Note: these are seasonally adjusted numbers - and we are relying on the BLS to get this seasonal adjustment factor correct]. An unchanged ratio would be telling you that jobs growth was around 150,000 - as this is approximately the new entries to the labor market caused by population growth.

Employment Metrics

The 3 month rolling average growth trend in the establishment survey's non-farm payroll improved, and have been trending up since the beginning of 2014.

Unadjusted Non-Farm Payrolls Year-over-Year Growth

Another way to view employment is to watch the total hours worked which has been within a narrow range for the last 4 years is now showing some growth.

Percent Change Year-over-Year Non-Farm Private Weekly Hours Worked

The bullets below use seasonally adjusted data from the establishment survey except where indicated:

  • Average hours worked (table B-2) was unchanged at 34.6. A rising number normally indicates an expanding economy .
  • Government employment was down 10K (10,000) with the Federal Government down 6K, state governments down 3K and local governments down 1K.
  • The big contributor to employment growth this month was health care (49.7K), food services (34.6), construction (39.0), and retail trade (45.9K)
  • The headwinds to employment this month was couriers and messengers (-14.1k) and government (-10.0k)
  • Manufacturing was up 22K, while construction was up 39K.
  • The unemployment rate (from household survey) for people between 20 and 24 (Table A-10) improved from 10.8% to 9.8%. This number is produced by survey and is very volatile.
  • Average hourly earnings (Table B-3) was jumped $0.12 to $24.75.

Private Employment: Average Hourly Earnings

Economic Metrics

Economic markers used to benchmark economic growth (all from the establishment survey) were positive and well away from recessionary levels.

The truck employment was up 2.4K. Year-over-year improvement is well into expansion territory, with an improving short term trend.

Truck Transport Employment - Year-over-Year Change

Temporary help declined (4.1K). Note that many believe, that Obamacare is creating a shift from permanent to temporary jobs. If this is the case, this metric would be inoperative.

Temporary Help Employment - Year-over-Year Change

Econintersect believes the transport sector is a forward indicator. Others look at temporary help as a forward indicator.

Food for Thought

Who are the victims in this mediocre employment situation. It is not people over 55.

Index of Employment Levels - 55 and up (dark grey line), 45 to 54 (purple line), 35 to 44 (orange line), 25 to 34 (green line), 20 to 24 (red line), and 16 to 19 (blue line)

Women are doing better than men.

Index of Employment Levels - Men (blue line) vs Women (red line)

Mom and Pop employment is below recessionary levels.

The less education one has, the less chance of finding a job.

Index of Employment Levels - University graduate (blue line), Some college or AA degree (orange line), high school graduates (green line), and high school dropouts (red line)

And being white is not helpful for employment. FRED does not have data series for Asians, but the BLS does - and indexed Asian employment levels are similar to Hispanic.

Index of Employment Levels (from the BLS Establishment Survey) - Hispanic (blue line), African American (red line), and White (green line)

However, keep in mind that population growth is different for each group. Here is a look at employment to population ratios which clearly shows NO group has recovered from the Great Recession:

Employment / Population Ratios (from the BLS Household Survey) - Hispanic (blue line), African American (red line), and White (green line)

According William C. Dunkelberg, Chief economist for the National Federation of Independent Business (NFIB), small business hiring was soft in January:

The percent of owners reporting job creation fell 4 percentage points to a net 5 percent of owners, which despite the decline is still a historically solid number. December was, for some reason, just "hot". The percent of owners cutting jobs remained historically low, so initial claims for unemployment will continue to wobble around the 300,000 mark. Overall, the average increase in workers per firm was 0.16 workers per firm, down a bit from December's strong reading of 0.20. Thirteen percent report increasing employment an average of 3.1 workers while 8 percent reduced their workforce by an average of 3.2 workers Forty-eight percent reported hiring or trying to hire (down 6 points), but 42 percent (88 percent of those hiring or trying to hire) reported few or no qualified applicants for the positions they were trying to fill. Fourteen percent reported using temporary workers, unchanged.

Twenty-six percent of all owners reported job openings they could not fill in the current period, up 1 point and a very solid reading. An increase in the unemployment is unlikely, even with improvement in labor force participation rate as the job market is showing signs of tightening and vacancies are high.

The net percent of owners planning to create new jobs (hire more than the let go) gave up 1 point from December's excellent reading, providing evidence that the December number was not a fluke. A net 14 percent planning to create new jobs is a strong reading. Not seasonally adjusted, 20 percent plan to increase employment at their firm (up 2 points), and 5 percent plan reductions (down 3 points). With weaker top line sales for large firms (due to the strong dollar and lower exports), employment gains may be shifting to the small business sector.

The first "guess" at Q4 GDP growth was 2.6 percent. These first readings have been so far off the mark that the BEA should consider abandoning the preliminary reading and just wait until more of the data are in, my opinion. But, the markets like to have numbers to bet on. How many really look at the revisions to the payroll data reports? We build models using revised "true" data and try to forecast BEA and BLS first guesses. Maybe we should build models predicting the first guess using first reported data, not final figures. All that complaining aside, it appears that the economy is still trudging ahead, so job growth will continue to plod forward, there wont be much change in the unemployment rate (from job creation anyway) and the monthly jobs number should be around 230,000 (first guess).

Caveat on the use of BLS Jobs Data

The monthly headline data ends up being significantly revised for months after the initial release - and is subject also to annual revisions. The question remains how seriously can you take the data when first released.

The above graphic (updated through October 2011) is the month-over-month change in employment based on the original headline non-farm employment level and the current stated employment levels at month end. You will note some pretty drastic backward revision for a major economic release the market reacts to in real time.

Econintersect Contributor Jeff Miller has the following description of BLS methodology:

  1. An initial report of a survey of establishments. Even if the survey sample was perfect (and we all know that it is not) and the response rate was 100% (which it is not) the sampling error alone for a 90% confidence interval is +/- 100K jobs.
  2. The report is revised to reflect additional responses over the next two months.
  3. There is an adjustment to account for job creation — much maligned and misunderstood by nearly everyone.
  4. The final data are benchmarked against the state employment data every year. This usually shows that the overall process was very good, but it led to major downward adjustments at the time of the recession. More recently, the BLS estimates have been too low.

Econintersect has repeatedly pointed out questions about how the seasonal adjustment algorithms and data gathering methodology used by the BLS introduce uncertainty into interpretation of month to month changes in employment.

Econintersect believes the simplistic sampling extrapolation technique of ADP yields a far better picture of the employment situation than the complicated, convoluted Bureau of Labor Statistics (BLS) methodology. However, ADP is using a new methodology beginning with the October 2012 data - and only time will tell if their new approach was as good as their old one.

ADP (blue line) versus BLS (red line) - Monthly Jobs Growth Comparison

Because of the differences in methodology, many pundits ignore the ADP numbers - while waiting for the BLS numbers. Although there can be a low correlation in a particular month, the different methodologies tend to balance out, and the correlations are excellent outside of the data turning points. We are now 16 months past the post recession turning point in employment.

However, there is some discussion that neither the ADP nor BLS numbers are correct - as both are derived by a sampling methodology. The answer could be that there is no correct answer in real time - and that it is best to look at the trends. As has been noted, all eventually end up correlating.

The BLS uses seasonal adjusted data for its headline numbers. The seasonally adjusted employment data is produced by an algorithm. The following graph which shows unadjusted job growth - seasonal adjustments spread employment growth over the entire year. Employment does not really grow in the second half of the year and always falls significantly in January.

Non-Seasonally Adjusted Employment - Private Sector

There is the proverbial question on what is minimal jobs growth each month required to allow for new entrants to the market. Depending on mindset, this answer varies. According to Investopdia, the number is between 100,000 and 150,000. The Wall Street Journal is citing 125K. Mark Zandi said 150K. Econintersect is going with Mark Zandi's number:

  • In Econintersect's June 2014 economic forecast released in late May, we estimated non-farm payroll growth at 160,000 (unadjusted based on economic potential) and 229,000 (fudged based on current overrun of economic potential).

Historical Monthly Jobs Growth Comparison if Population was 300 Million

  • If Econintersect uses employment - population ratios, the correct number would be the number where this ratio improved. Using the graph below, the ratio began to improve starting a little after mid-year. This corresponds to the period where the 12 month rolling average of job gains hit 150,000.

Employment to Population Ratio

Note: The ratio could be fine tuned by adjusting to the ratio of employment to working age population rather than the total population. However, this would not change the big picture that an increase of somewhere around 150,000 (+/-) is needed for the growing population numbers. We have estimated 140k - 160k. The number might possibly be within the range 125k - 175k. Econintersect cannot find reason to support the estimates below 125k.

The question of how changing demographics impact the employment numbers is at the margins of analysis. Econintersect will publish more on this fine tuning going forward, both in-house research and the work of others.

Related Posts:

Old Analysis Blog

New Analysis Blog

All Employment Articles All Employment Articles


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