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The Chronic Employment Data Conflict: Establishment versus Household Surveys

  • Written by Syndicated Publisher No Comments Comments
    February 10, 2014

    Today’s employment report again highlights an ongoing conflict between the jobs number in the Establishment Survey versus the roughly comparable data in the Household Survey. The Nonfarm Payrolls of the former came it at a disappointing 113K new jobs — well off the consensus forecasts for 185K or more. In contrast, the Household Survey reported a 638K increase in civilian employment age 16 and over, a number that gets trimmed to 616K after the BLS applies its “annual adjustment to the population controls.” Business Insider, not surprisingly, picked up on this oddity with the headline “By One Measure, This Was A Stupendous Jobs Report“.

    Here is a fifty-year snapshot (a wide one) of the Establishment Survey data on nonfarm employment I’ve included a 12-month moving average overlay to help us visualize the trend patterns.

     

    Now compare the data above with the Household Survey’s far more volatile monthly series on the 16-and-over employed population. Note that I’ve used the same vertical scale to ensure an apples-to-apples comparison.

    The dramatically higher volatility of the Household Survey comes as no surprise, given the much larger source of survey sampling. The column chart below illustrates the sometimes radical greater monthly change in the Household Survey data for the employed.

    My general tendency in studying economic data is the look at long-term trends. What I find most interesting the first two charts chart above are the moving averages. In addition to smoothing the volatility, they show us an interesting phenomenon, especially in the Employment Survey. Over this timeframe, the MA highs have been progressively lower since the peak in the late 1970s. The change has been gradual and is no doubt in part a reflection of the demographics of the Boomer generation. However, over last the 10-15 years, the trend has also been impacted by the efficiencies of technology and the globalization of the economy, which continues to put pressure on national employment data.

    In past business cycles, particularly in the Establishment Survey, the 12-month MA has generally sloped downward for several months before recessions start. The one conspicuous outlier is the second half of the 1980s double-dip recession, which was essentially engineered by the Fed to break the back of runaway inflation.

    At this point it is impossible to see either employment series as a harbinger of a business cycle contraction. But the 12-month MA of this indicator is one we’ll want to watch closely in the months ahead.

     

    Images: Flickr (licence attribution)

    About The Author

    My original dshort.com website was launched in February 2005 using a domain name based on my real name, Doug Short. I’m a formerly retired first wave boomer with a Ph.D. in English from Duke. Now my website has been acquired byAdvisor Perspectives, where I have been appointed the Vice President of Research.

    My first career was a faculty position at North Carolina State University, where I achieved the rank of Full Professor in 1983. During the early ’80s I got hooked on academic uses of microcomputers for research and instruction. In 1983, I co-directed the Sixth International Conference on Computers and the Humanities. An IBM executive who attended the conference made me a job offer I couldn’t refuse.

    Thus began my new career as a Higher Education Consultant for IBM — an ambassador for Information Technology to major universities around the country. After 12 years with Big Blue, I grew tired of the constant travel and left for a series of IT management positions in the Research Triangle area of North Carolina. I concluded my IT career managing the group responsible for email and research databases at GlaxoSmithKline until my retirement in 2006.

    Contrary to what many visitors assume based on my last name, I’m not a bearish short seller. It’s true that some of my content has been a bit pessimistic in recent years. But I believe this is a result of economic realities and not a personal bias. For the record, my efforts to educate others about bear markets date from November 2007, as this Motley Fool article attests.
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