Professor Haruvy is a Professor of Marketing at McGill, Director of the Institute of Marketing, and affiliated with the University of Texas at Dallas. He earned his PhD in economics in 1999 from the University of Texas at Austin. He teaches and researches eCommerce, Internet Business, Predictive Marketing Analytics, Digital Marketing, social media and Market Design. His expertise is in data mining, econometrics, predictive marketing analytics, consumer analytics, big data, segmentation, regression methods, panel data methods, structural models, clustering and association rules, online search, social media optimization, interface design, survey design, consumer learning, branding and promotions. He has over 15 years of advising leading companies and government entities and assisting in litigation cases. He has over 80 articles in leading publications.
Ernan Haruvy has a Ph.D. in economics from the University of Texas at Austin (1999). He is currently a Professor of Marketing at McGill University and Director of Institute of Marketing.
He began his economic research path (1993) at the Faculty of Agriculture of Hebew University in 1993, as a researcher on Agricultural and Development Economics.
He began his research in behavioral and experimental economics (1994) at the University of Texas at Austin, where they worked on the building blocks of level-n (today known as level-k) theory. Haruvy expanded the theory to non-parametric mode testing, equilibrium selection, learning, other-regarding behavior, extensive form games, and more. Today, level-k theory is one of the leading behavioral theories in behavioral economics.
He took a position in 1999 at the Technion in Haifa, Israel. He collaborated there on identifying the underlying principles and patterns of learning in individual choice tasks and strategic games. Haruvy's contribution to that research stream was in laying out the econometric principles for correct identification of parameters, in identifying the importance of variance, and in identifying practical applications to reinforcement learning insights.
During his time at the Technion, Haruvy conducted field experiments on restaurant diners. That work, among others, began up a stream of literature in experimental economics concerned with field experiments, a topic on which Haruvy has published extensively.
Following his time at the Technion, Haruvy joined Harvard University as a post doc under the supervision of (later to become Nobel Laureate) Professor Alvin Roth. With Professor Roth, Haruvy studied matching in the medical and law clerk markets. In that time, Haruvy attended (audited) the first semester of a newly developed course called market design, jointly offered by Professor Al Roth (Nobel Laureate) and Professor Paul Milgrom (Nobel Laureate). Market Design has become one of the fastest growing fields in economics and cross-disciplinary business research and Haruvy has published extensively in that field.
Following his time at Harvard, he joined the University of Texas where his research became more focused on Quantitative Marketing or Marketing Science, a field built largely on game theory and econometric foundations. He was at the University of Texas at Dallas from 2001 to 2020, before joining McGill University.
He maintains residence and affiliation in both Montreal, Quebec and Dallas, Texas.
His current research interests include experimental and behavioral economics, consumer decision making, market mechanisms, market design, survey research, procurement, bargaining, and learning.