Official recession calls are the responsibility of the NBER Business Cycle Dating Committee, which is understandably vague about the specific indicators on which they base their decisions. This committee statement is about as close as they get to identifying their method.

There is, however, a general belief that there are four big indicators that the committee weighs heavily in their cycle identification process. They are:

  • Nonfarm Employment
  • Industrial Production
  • Real Retail Sales
  • Real Personal Income (excluding Transfer Receipts)
  • The Latest Indicator Data

    This commentary has been updated to include Nonfarm Employment for January. As the adjacent thumbnail of the past year illustrates, Nonfarm Employment remains in its upward trend. The January report of 151K new jobs was substantially below expectations (Investing.com was looking for 190K), and the December number was revised downward by 30K from 292K to 262K. The unemployment rate ticked down from 5.0% to 4.9%.

    The chart below shows the monthly percent change in this indicator since the turn of the century, a period that includes two recessions.

    The Problem of Revisions

    At first blush this indicator appears to have a strong correlation with the business cycle. However, there is a major problem with this assumption: The data in this survey of business establishments undergoes multiple revisions. The initial monthly estimate is subject to a first and second revision, subsequent benchmark revisions and annual revisions that stretch back many years (the most recent includes revisions back as far as February 1990). The cumulative size of the revisions is quite stunning, much of which is owing to the “hindsight” of those annual revisions.

    The chart below measures the size of the revisions from the initial estimate to the latest employment report. We’ve included a callout to show the 2014-2015 numbers prior to the latest annual revisions.

    The downward revisions are absolutely astonishing.

    The Problem of Population Growth

    Another problem with the Nonfarm Employment data is that it isn’t adjusted for population growth, which reduces its usefulness in illustrating secular trends. The chart below incorporates a population adjustment by dividing the Nonfarm Employment (FRED series PAYEMS) by the Civilian Labor Force Age 16 and Over (FRED series CLF16OV). We’ve added a couple of trend lines and a callout — not to suggest a forecast but rather to highlight the potential impact of a near-term business-cycle downturn. Note also that the current level is about where we were at the end of 1997.

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