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The Notorious Employment Report Whatever one might say, you´re assured a good laugh from some of the comments. For this report, this was my “elected” commentary: The low unemployment rate could energize Fed officials—such as Boston Fed President Eric Rosengren and Cleveland chief Loretta Mester—who have been calling for higher rates to keep the economy from growing too fast, possibly leading to sharply rising inflation. While payroll employment came in close to forecast, the unemployment rate came in quite a bit below forecast, 4.6% in lieu of 4.9%. But that reflected another drop in the labor force participation, both in headline and for the prime age – 25-54 – group. Year on year wage growth (Average Hourly Earnings) for total private sector employees unexpectedly dropped from 2.8% to 2.5%. For the production and non-supervisory category, wage growth remained pat at 2.4%. The charts indicate how seriously defective is Rosengren´s and Mester´s reasoning. By “capping” NGDP growth following the deep 2007-09 recession, the Fed has also “capped” wage growth. In the past, monetary policy only tightened when wage growth was in the 4% range. At present, with 2.5% wage growth some at the FOMC tremble! Note also how NGDP growth has been falling for the past two years, a clear sign that monetary policy has tightened. I think it is interesting to compare two moments. The present recovery with the one following the 1990/91 recession. Then, we were living what John Taylor in 1998 called the “Long Boom”. Today we are living what we have labelled the “Long Depression”. The charts compare unemployment, labor force participation, wage growth and inflation for the two 7 year periods (1992 – 1999 and 2009 – 2016). What you come up with is: 1. Falling unemployment can be a fixture of both long booms and long depressions 2. During long depressions, a less attractive labor market gives way to falling participation 3. Wage growth is robust in long booms and lackluster in long depressions 4. In either long booms and long depressions inflation can be low/falling If the Fed doesn´t realize the economy is “trapped” in a long depression environment, the policy choices it makes, especially if they are based on the behavior of the rate of unemployment, as members like to emphasize, will be wrong and will hurt the economy. Knowing your AHE from your AWE, via AWH – PI better, PCE best The October payrolls engendered the usual interest from inflation hawks keen to find evidence to support monetary tightening. At the end of the day it is the total nominal personal income growth trends that matters and it is very weak. The jobs data itself was not that interesting. The coming hyperinflation was spotted in the modest growth in Average Hourly Earnings (AHE) for All Employees as it soared YoY to a heady rate of 2.8%. Well, big deal. The more reliable, because much longer-term, Production and Nonsupervisory Employees Average Hourly Earnings growth rate showed no such increase and is firmly stuck around 2.5%. We have commented on the difference between the two hourly earnings figures in the past as the broader set of data includes the much more volatile, often bonus-driven, earnings of senior staff. They are around 18% of total employees but paid 80% more than the average employee and 2.2x as much as the average Production and Nonsupervisory employee. A good quarter on Wall St could, and probably did, have an impact. The more important figure is Average Weekly Earnings (AWE) as that is what employees in fact earn. It is derived from multiplying Average Hourly Earnings by Average Weekly Hours (AWH). In the long run AWH moves in a secular fashion. It fell gradually from 38 hours per week in 1965 to 34 hours by 1990 and has relatively stable ever since. But AWH can plunge and sometimes recover during recessions. Although the secular trend was down, during that period it was recessions that generally permanently drove down the number of hours worked per week. Having your employees work less hours is a first line of defense for many employers before they are forced by downwardly sticky AHE to lay off labor. Looking at the two longer run earnings series for Production and Nonsupervisory Employees, we find they have approximately the same mean (AHE=3%, AWE=2.9%), but AWE series is a little more volatile. This is because of the wage stickiness seen in AHE and some flexibility in AWH. The difference between AHE and AWE is especially notable in 2008-10. The depth of the nominal spending fall is behind the strong fall in hours (and so AWE). Zooming in and adding the “driving force” (NGDP Growth): Note how AWE (because of quick together with nominal spending constrain AHE adjustment. When strongly because of adjustment growth settles at a bland rate adjustment in Hours worked) moves (NGDP) growth, while wage stickiness NGDP growth picks up AWE pick up in hours worked. After that, NGDP so that AWH stabilizes and AWE growth comes down to “meet” AHE growth, with both remaining at “depression levels”. All that said, the whole concept of AWH and thus AHE is constantly under threat due to the changing structure of the economy and the shift to service sector and screen work. Total income and expenditure are probably increasingly better guides to AD and NGDP than the somewhat outdated AHE data and its two sisters AWH and AWE. Nominal Personal Income (PI) growth remains, like nominal Personal Expenditure and NGDP growth itself, much lower, and in the case of PI, more volatile than prior to 2008.