Book Updates are included in - WorldatWork Journal Q3 2019 Article: Gender-Based Pay Equity Differences and Upward Occupational Mobility Through the Lens of Comparable Worth The Journal Article can be downloaded in PDF format here.
Discussions on Compensation Planning, Analysis, Salary Structures, Total Compensation Policy, Salary Surveys and more. Human Capital Management Systems and Human Capital Metrics and Predictive Analytics are also reviewed and discussed.
Monday, July 29, 2019
Human Capital Management Systems, Analytics and Data Mining Book Update Included in Q3 2019 WorldatWork Journal Article
My latest book - Human Capital Management Systems, Analytics and Data Mining includes In-Depth HCM Analytics and Data Mining covering Gender Related Pay Equity and Occupational Mobility Research based on Comparable Worth Analysis.
Tuesday, July 9, 2019
Yearly Wage Growth - Gender vs Age
The Federal Reserve Bank of Atlanta Wage Growth Tracker segregated by Gender based on the 12 month moving averages indicates that from 1997 to the present the overall average Wage Growth Rate for Females was 3.5% and for Males 3.6%.
Given the findings in my recent book Human Capital Systems Analytics and Mining that for nearly all GS Pay levels in the Federal Government there are virtually no differences between Genders with regard to pay, except at the highest compensation levels.
Based upon the consistency of virtually equal Yearly Compensation Gains across Gender as shown in the Wage Growth Chart since 1997 it may be assumed that Pay Differences between Genders has been largely overstated for the last two plus decades for all job levels below upper management and executive.
In Contrast to the Gender view to the Wage Growth by Age is much different. Using the same Wage Growth Tracker noted above the 12 month moving averages indicates that from 1997 to the present the overall average Wage Growth Rate for the 16-24 Age Group was 6.7%, for the 25-54 Age Group 3.6% and for the 55+ Age Group 2.4%.
In terms of Wage Growth it is evident the the biggest disparity is not between the Genders but instead across Age Groups. The most negatively affected are individuals in the 55+ Age Group. Pay discrimination based on Age is what should merit the most scrutiny and attention.
The importance of research in Pay Discrimination based on Age is underscored due to the fact that individuals are living longer and more depend on some level work during retirement.
Given the findings in my recent book Human Capital Systems Analytics and Mining that for nearly all GS Pay levels in the Federal Government there are virtually no differences between Genders with regard to pay, except at the highest compensation levels.
Based upon the consistency of virtually equal Yearly Compensation Gains across Gender as shown in the Wage Growth Chart since 1997 it may be assumed that Pay Differences between Genders has been largely overstated for the last two plus decades for all job levels below upper management and executive.
In Contrast to the Gender view to the Wage Growth by Age is much different. Using the same Wage Growth Tracker noted above the 12 month moving averages indicates that from 1997 to the present the overall average Wage Growth Rate for the 16-24 Age Group was 6.7%, for the 25-54 Age Group 3.6% and for the 55+ Age Group 2.4%.
In terms of Wage Growth it is evident the the biggest disparity is not between the Genders but instead across Age Groups. The most negatively affected are individuals in the 55+ Age Group. Pay discrimination based on Age is what should merit the most scrutiny and attention.
The importance of research in Pay Discrimination based on Age is underscored due to the fact that individuals are living longer and more depend on some level work during retirement.
Monday, March 25, 2019
Upcoming WorldatWork Journal Article on Pay Equity and Comparable Worth
An upcoming Article entitled Gender-Based Pay Equity Differences and
Upward Occupational Mobility Through the Lens of Comparable Worth, will
be published in WorldatWork Journal, Third Quarter 2019. The article
updates research and contains excerpts from the book Human Capital Systems, Analytics and Data Mining (CRC/Taylor and Francis).
Friday, March 22, 2019
New Book Human Capital Systems, Analytics and Data Mining
My new book Human Capital Systems, Analytics and Data Mining includes Relational and Dimensional Modeling Tutorials with Data Modeling of Human Capital Information Database Systems that include special emphasis on Compensation Data Structures and Analytics.
Detailed Tutorials cover Human Capital Databases from Relational to Dimensional which are then exposed to in depth Online Analytical Processing (OLAP) and Data Mining Projects. Coverage of Compensation Systems include Extensive Original Research in Gender Based Pay Equity Issues through the lens of Comparable Worth. Replication of the Pay Equity research with New Findings is included in Tutorials throughout the text.
Development of OLAP Databases and Human Capital Data Mining Projects further exploring contemporary Human Capital Research are the main focus of the book. Also included are development of Human Capital Information System Interactive Dashboards that effectively visualize recommended internal research methods along with detailed Tutorials on how to create and maintain the Dashboards. Dashboard development are mainly concentrated on Compensation Metrics and Analytics.
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