Manisha Goel is a Senior Economist at Econ One. She has nearly two decades of experience in economic analysis, econometrics, and machine learning methods. She is skilled in developing quantitative models for causal inference and estimating counterfactual or but-for outcomes. At Econ One, she has worked on price fixing cases in pharmaceuticals, wholesale, retail, transport, and agriculture. For these cases, she closely supervises the empirical analyses needed to develop watertight arguments. She also leads the application of the newest econometric methods when they are the most fitting for the cases’ context, rather than simply doing what has been standard for years.

Before joining Econ One, Dr. Goel was an economics professor at Pomona College and University of North Carolina at Chapel Hill, earning tenure in 2020. As an academic, she has published several peer reviewed articles at high-impact journals, founded a lab where folks collaborate on projects at the intersection of econometrics and natural language processing, and organizes an annual conference on the role of identity and networks in businesses. Using a machine learning approach, she built a database that can identify narrowly defined social identities of individuals for nearly 15,000 unique Indian last names. The data are now highly sought after by researchers all over the world and across several fields. She has been invited to present her research at numerous seminars and international conferences and has refereed articles for top journals. Her research has influenced policy and been covered by the media.

Dr. Goel has taught undergraduate, masters and doctoral courses in corporate finance, international trade, economic growth, econometrics, and macroeconomics. She has mentored many students and helped launch their careers in quantitative, legal, economic and journalistic fields.