Simon Business School

Faculty Profile

Avery Michael Haviv
Associate Professor
Phone: 585.275.2385
Office: 3-206 Carol Simon Hall


Avery Haviv, Assistant Professor, Marketing completed his PHD in Quantitative Marketing at the University of Toronto (Rotman School of Management). His research interest is in the development of methodology and the application of dynamic models to solve marketing problems. Haviv earned a Bachelor of Mathematics (Honors Statistics) from the University of Waterloo and a Master of Science (Honors Statistics) from the University of Toronto. He has also worked as a consultant in the market research industry.

Teaching Interests

Computer Programming, Data Analytics, Causal Analysis

Research Interests

Quantitative Marketing, Empirical Industrial Organization, Dynamic Models, Discounting Rates

Professional History

Associate Professor
University of Rochester - Simon Business School
July 2020 -
Assistant Professor
University of Rochester - Simon Business School
July 2014 - June 2020
PhD Student
University of Toronto, Rotman
September 2009 - June 2014
University of Toronto
September 2008 - July 2009
Associate Consultant
Harris Interactive, Toronto, Ontario
June 2007 - June 2008
Statistical Consultant
June 2007 - June 2008


Rotman School of Management - 2014
Ph D
Univeristy of Toronto - 2009
University of Waterloo - 2007


Increasing Organ Donor Registrations with Behavioral Interventions: A Field Experiment
Contribution Type: Journal Article, Academic Journal
Journal/Publisher/Proceedings Publisher: Journal of Marketing
Cyclic Variables and Infinite Horizon Structural Dynamic Models
Journal/Publisher/Proceedings Publisher: Operations Research
Measuring and Understanding Brand Value in a Dynamic Model of Brand Management
Contribution Type: Journal Article, Academic Journal
Journal/Publisher/Proceedings Publisher: Marketing Science
Volume: 36
Issue: 4

Current Research Programs

A Lagrange Multiplier Test for Present Bias in Structural Dynamic Models
Addiction and Second Mover Advantages in the Video Game Industry
The demand for a new product and its optimal release timing may depend on other recently released products. If product adoption is addicting, the release of a product will expand markets for the followers, softening competition. Focusing on the video game industry, we identify the intertemporal effect by exploiting variations in sales of games that are exclusive to a console platform, using a difference-in-difference approach. We find that sales of one game complements future sales of other games, to the extent that product entry can create subsequent market expansion effects. We quantify the impact of entry on other products through substitution, addiction, and satiation using a random coefficient demand model, and find that category-expansion effect can result in a second mover advantage.
Brand Building to Deter Entry and its Impact on Brand Value
Does Purchase Without Search Explain Counter-Cyclic Pricing?
Nested Pseudo-Likelihood Estimation with Different Discount Factors
Removing the Computational Burden of Adding Cyclic Variable to Structural Dynamic Models
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