Daniel Ober-Reynolds, PhD

Daniel Ober-Reynolds has extensive experience developing and applying empirical methods, including causal inference, discrete choice modeling, and demand estimation. Daniel received his PhD in Economics from the University of California, Los Angeles. In his doctoral research, he developed new methods for studying treatments with heterogeneous effects and used these methods to study who saw greater benefit from the National Supported Work Demonstration job training program. He also developed novel methods to assess the robustness of empirical findings when the available data are incomplete.