Thomas (Tom) Sager joined The University of Texas at Austin in 1978. His research focuses on the development and application of econometric models to study the empirical behavior of insurance companies. The models involve simultaneously interacting manifest and latent variables interacting in autocorrelated nonlinear panel data structures. He has applied these to the prediction of insurer insolvency, the risks of mortgage-backed securities, the effects of the Affordable Care Act, the assessment of global systemic risk, consequences of regulation, and other issues. He seeks to illuminate how agency theory, transactions cost economics, theories of limited and unlimited risk, and other ideas play out to explain insurers’ management of their enterprise risks. 

Ph.D. in Statistics, University of Iowa, 1973