With funding from the National Institute of General Medical Sciences, this project uses SPACE (Stochastic Population Analysis for Complex Events) to estimate multi-state life table functions. The life table statistics summarize the employment dynamics for various population groups representing the academic science, technology, engineering, and mathematics (STEM) workforce and provide input for projections of the need for training of future academic STEM workers in light of the changing demographic composition of the U.S. workforce. The methods used also produce confidence intervals around life table estimates. Confidence intervals will allow hypothesis testing to answer questions such as whether racial/ethnic differences are observed early in careers and persist or whether these differences accumulate over time. In addition, SPACE uses microsimulation procedures that will produce useful synthetic data on STEM workforce dynamics for underrepresented minority groups (as a whole or separately).
The results of the analysis are described in the article “Shift-Share Analysis of Growth in U.S. Biomedical Postdoctoral Employment in Research Education Institutions” (June 2014).