Faculty Profile

Avery Michael Haviv

Assistant Professor

Email: avery.haviv AT simon.rochester.edu

Phone: 585.275.2385

Office: 3-206 Carol Simon Hall

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Bio

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

Assistant Professor

University of Rochester - Simon Business School

July 2014 -

PhD Student

University of Toronto, Rotman

September 2009 - June 2014

Masters

University of Toronto

September 2008 - July 2009

Associate Consultant

Harris Interactive, Toronto, Ontario

June 2007 - June 2008

Statistical Consultant

June 2007 - June 2008

Education

Rotman School of Management - 2014

Ph D

Univeristy of Toronto - 2009

University of Waterloo - 2007

Publications

2017

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