Using Microlevel BLS data to study aggregate wage dispersion

Can Microlevel BLS data be used to study how and why employees are paid differently at US employers ?  This paper and the work ultimately looks to provide a method to use the Microlevel, i.e. individual level survey observations, to match dispersion measures like, the standard deviation, in big data BLS employment data. The first step for the researchers is to try and match the aggregate numbers to the micro numbers. 

Published by

Dwight Steward, Ph.D.

Dr. Steward regularly writes and speaks on topics involving business and individual economic damages, employment audits, and the analysis of payroll and time data in wage and hour investigations. Dr. Steward has also held teaching positions at The University of Texas-Austin in the Department of Economics and in the Red McCombs School of Business, The College of Business at Sam Houston State University, and at The University of Iowa. He has taught numerous courses in statistics, corporate finance, labor economics, business policies, managerial economics, and microeconomics.