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Tuesday
Jun302009

The most important macroeconomic statistics you never heard of

Jeff Frankel, who is on the NBER Business Cycle Dating Committee (no it's not an E-Harmony subsidiary), makes a persuasive case that the index of Aggregate Weekly Hours Worked is a sensitive and important indicator for calling business cycle tops and bottoms. For example, the ends of the 1991 and 2001 recessions coincided exactly with upturns in this index. Unfortunately, despite all the sightings of "green shoots," reduced numbers of new unemployment claims filed, rationalizations that unemployment rates are lagging indicators, etc., the index of Aggregate Weekly Hours Worked declined in May at the same rapid rate seen since September (about 0.7% per month).

Aggregate Weekly Hours Worked equals the total number of private sector employees multiplied by the average length of the workweek for the average worker. Since labor is the largest input to goods and services, total economic output (GDP) necessarily tracks very closely to total hours worked.

On the other hand, the more frequently cited Aggregate Weekly Payrolls statistic tends to be distorted by lags in hourly wage rate changes, by severance pay, and by "labor hoarding." When orders dry up, employers tend to cut overtime, impose furloughs, and otherwise reduce the number of hours worked to avoid laying off employees. In a recovery, employers cautiously resume normal work schedules and overtime before they risk hiring new employees. Thus, total payroll dollars are not as responsive an indicator of total output of goods and services as is the index of total hours worked. Compare the volatility of one with the other in the following 2 graphs.

Aggregate Weekly Hours Worked 

Both data sets are in Table B-5 of the BLS Employment Situation Report, which is released within a week after the end of each month. Historical data and graphs, including the two above, are available here.

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