Rate My Professor Akanksha Negi
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Encourages independent and critical thought.
Inspires a passion for knowledge and growth.
Inspires students to love their studies.
Always patient, kind, and understanding.
Makes every class a memorable experience.
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About Akanksha
Akanksha Negi is a lecturer (Assistant Professor) in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia, within the Monash Business School. Her general field of interest is econometrics, with a special emphasis on causal inference. She received her PhD in Economics from Michigan State University in the summer of 2020. Prior to her doctoral studies, Negi worked as a senior research assistant at the International Food Policy Research Institute in Delhi for two years. She holds a BS and MS in Statistics from the University of Delhi, India. Negi has been affiliated with Monash University's Department of Econometrics and Business Statistics since 2017, contributing to both research and teaching in the field of Business & Economics.
Negi's research addresses key challenges in causal inference, including difference-in-differences estimation with misclassified treatments, regression adjustment under heterogeneous treatment effects, doubly robust methods for fractional outcomes and multivalued treatments, and M-estimation for nonrandom assignment with missing outcomes. Her publications in leading journals include "Difference-in-differences with a misclassified treatment" (Journal of Applied Econometrics, 2025, with Digvijay S. Negi), "Robust and efficient estimation of potential outcome means under random assignment" (Journal of Business and Economic Statistics, 2025, with Jeffrey M. Wooldridge), "Doubly robust estimation of multivariate fractional outcome means with multivalued treatments" (Econometric Reviews, 2024, with Jeffrey M. Wooldridge), "Doubly weighted M-estimation for nonrandom assignment and missing outcomes" (Journal of Causal Inference, 2024), and "Revisiting regression adjustment in experiments with heterogeneous treatment effects" (Econometric Reviews, 2021, with Jeffrey M. Wooldridge). These works demonstrate her impact on methodological advancements in econometrics. She serves as chief examiner for units such as ETC3410 Applied Econometrics and teaches ETC5241 Introductory Econometrics. Her expertise relates to UN Sustainable Development Goal 16: Peace, Justice and Strong Institutions. Negi has presented her research at academic events, including seminars at the University of Arizona and Barcelona School of Economics.