Chad Hazlett

Chad Hazlett is Professor of Political Science and Statistics at UCLA. His research develops methodological approaches for causal inference and applies these to study civil conflict and mass violence.

Research Focus: Hazlett specializes in advancing causal inference methods, machine learning applications, and statistical modeling for political science research. His applied work examines the dynamics of civil war and mass violence using rigorous quantitative approaches. Current methodological interests include sensitivity analysis for unmeasured confounding, instrumental variables frameworks, and innovative weighting techniques for survey data.

Publications Overview: Hazlett's recent publications (2024-2025) focus on methodological innovations in causal inference. Key contributions address: sensitivity analysis for observational studies; instrumental variable frameworks; bias detection in experimental economics; and kernel-based survey weighting techniques. His work bridges technical statistical advancement with substantive applications in conflict studies.