U.S. Bureau of Labor Statistics
Thousands of Persons, Seasonally Adjusted
Total manufacturing employees measures the number of persons 16 years of age or older working in manufacturing positions. This indicates population size and occupation opportunity.
The data shows autocorrection and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Boxcox variable will also perform well.
Data is able to be distributed by time but not by geography. The roll up method used is Sum.
Manufacturing Employees - Seas Adj
Auto Correction Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal and Trend Decompostion
Data shows autocorrectation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.24 p-value = 0.01 indicates that the data is not stationary.
The Shapiro-Wilk test returned W = 0.94 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of 0.23 indicates the data are fairly symmetrical.
Hartigan's dip test score of 0.05 with a p-value of 0.13 inidcates the data is unimodal
Statistics (Pearson P/ df, lower => more normal)
U.S. Bureau of Labor Statistics, All Employees, Manufacturing [MANEMP], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MANEMP, December 16, 2019.