Manu Navjeevan

Manu Navjeevan is an Assistant Professor at Texas A&M University, based in office WCSS 244. Their research focuses on econometric methodologies, causal inference, and statistical analysis of treatment effects. They specialize in areas such as instrumental variables models, potential outcomes frameworks, and high-dimensional data analysis. Recent work emphasizes robust statistical techniques for identification and estimation in complex models.

Key research trends include advancing methods for causal identification under monotonicity criteria, improving efficiency in treatment effect estimation, and integrating machine learning into econometric frameworks. No awards or grants are explicitly listed in the provided materials.