معرفی
Wei Long is an Associate Professor and Director of Undergraduate Studies in the Department of Economics at Tulane University, within the School of Liberal Arts. He holds a MA in Statistics from Columbia University (2010) and a PhD in Economics from Texas A&M University (2015). His research focuses on applied economics with concentrations in the economics of crime and financial econometrics, emphasizing econometric methodologies such as quantile regression, copula models, and panel data analysis. His work has been published in top-tier journals like the Journal of Econometrics and Journal of the American Statistical Association.
Key research areas include evaluating police effectiveness, crime deterrence strategies, financial market predictability, and the impact of policy reforms. He has contributed to understanding how oversight mechanisms influence policing outcomes and how socioeconomic factors shape criminal behavior. His recent studies explore machine learning applications in panel data models and privacy-preserving quantile regression techniques for large datasets.
Despite not listing explicit scientific awards, his prolific publication record and academic roles reflect significant scholarly contributions. His advising and grants are not detailed here, but his research spans interdisciplinary topics such as income inequality in Latin America, stock market bubbles, and the effects of highly publicized police incidents on community policing strategies.
