Thor Osborn, Principal Systems Research Analyst, Sandia National Laboratories
Parametric survival models are generally effective for describing personnel movements both within and external to an organization. The State of Florida has published employee data on a weekly basis for several years, enabling analysis of job changes and separations for approximately 100,000 employees representing a wide variety of professions across the major Standard Occupation Classification (SOC) codes. Further, data collected over the past five years also incorporates the advent of the COVID-19 pandemic, capturing the varying influence of this major event across the professions. JMP Scripting Language (JSL) was used to prepare and analyze this large data set to visualize the divergence in employee behavior between roles and under the influence of the pandemic. Due to the unusually close registration between Florida’s job codes and the federal SOC system, which is linked to Department of Labor salary profiles, these data and analyses provide an open-source and broadly relevant view on personnel behavior in both periods of stability and crisis.
