Working Age Population: Males 55-65 - Seas Adj
Why Use This Data Source In Your Models?
Working age men aged 55-64 describes the number of men in this age group in the US. This is indicative of population size and demographics.
Working Age Population: Males 55-65 - Seas Adj
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Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
Org for Economic Co-operation & Development
Release:
Main Economic Indicators
Units:
Persons, Not Seasonally Adjusted
Frequency:
Monthly
Available Through:
09/30/2024
Suggested Treatment:
The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Yeo Johnson variable will also perform well.
Grain Transformation:
Data is unable to be distributed by time or geography. The roll up method used is Sum.
Auto Correlation Analysis:
Data shows auto correlation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.01
Trend Analysis:
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.28 p-value = 0.01 indicates that the data is not stationary.
Distribution Analysis:
The Shapiro-Wilk test returned W = 0.89 with a p-value =0.00 indicating the data does not follow a normal distribution.
A skewness score of -0.73 indicates the data are moderately skewed.
Hartigan's dip test score of 0.03 with a p-value of 0.99 inidcates the data is unimodal
Statistics (Pearson P/ df, lower => more normal)
Auto Correlation Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal Impact
Seasonal and Trend Decompostion
Citation:
Organization for Economic Co-operation and Development, Working Age Population: Aged 55-64: Males for the United States [LFWA55MAUSM647S], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/LFWA55MAUSM647S, December 15, 2019.
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