Mitchell J. Lovett

Associate Professor of Marketing
Simon Business School

Contact Information
Mitchell J. Lovett
Simon School of Business
University of Rochester
Rochester, NY 14627
Phone: (585) 276-4020
Fax: (585) 273-1140

My research applies and develops quantitative methods including structural econometrics, Bayesian methods, and causal inference techniques to study marketing problems. I have broad topical interests that span political marketing, brands and word-of-mouth, field tests, and retailing. 

Papers Published/Forthcoming/Conditionally Accepted 

Lovett, Mitchell (2019) "Empirical Research on Political Marketing: A Selected Review," Consumer Needs and Solutions, 6(3), 49-56

Ellickson, Paul, Mitchell Lovett, and Bhoomija Ranjan (2019) "Product Launches with New Attributes: A Conjoint-Shopper Panel Technique for Estimating Demand", Journal of Marketing Research, 56(5), 709-731.  DOI: 

Lovett, Mitchell, Renana Peres, and Linli Xu (2019), “Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth,Quantitative Marketing and Economics, 17(3), 215-255. 

Lovett, Mitchell and Renana Peres (2018), “Mobile Diaries-Benchmark Against MeteredMeasurements: An Empirical Investigation,” International Journal of Research in Marketing, 35, 224-241.

Lovett, M. J., M. Peress (2015), "Targeting Political Advertising on Television," Quarterly Journal of Political Science, 10(3), 391-432 (

Lovett, M. J., R. Peres, and R. Shachar (2014), "A Dataset of Brands and Their Characteristics", Marketing Science, 33(4), 609-617

    William F. O'Dell Award Finalist, Lead Article, and Selected as Candidate for JMR Press Campaign.
    A fun video to communicate the ideas simply: YouTubeVideo

Lovett, M. and J. MacDonald (2005), "How Does Financial Performance Affect Marketing? Studying the Marketing-Finance Relationship From a Dynamic Perspective," The Journal of the Academy of Marketing Science, 33(4), 476-485.

Papers Under Review/Working Papers

"Using Machine Learning for Causal Inference in Marketing," in preparation for Customer Analytics for Maximum Impact: Academic Insights and Business Use Cases, Taylor & Francis (CRC Press), edited by S. Seetharaman. Presentation Slides. Example Code: LassoIV, LassoIVMC, Synthetic Controls

(Un) Expected consequences of becoming a new format shopper: A causal approach (with Xavi Vidal-Berastain and Paul Ellickson, Xavi Vidal-Berastain is the lead author)

"The Effect of Expanding and Sharing Intellectual Property Rights" (with Avery Haviv and Nan Li, who is the lead author) 

"Private Labels and Retailer Profitability: Bilateral Bargaining in the Grocery Chain" (with Pianpian Kong and Paul Ellickson) last update 9/2017

"The Effect of Location and Assortment on Category Consideration, Learning, and Choice" (with Paul Ellickson and Bhoomija Ranjan, who is the lead author) last update 9/2017

"Putting the Horse Before the Cart: Harnessing the Power of Partner Brands" (with Paul Ellickson and Pianpian Kong, who is the lead author) last update 6/2017

"Consumer Learning Models for Perceived and Actual Product Instability" (with William Boulding and Richard Staelin) last updated 2/2009


"Social Media Influence on Voter Demand in the U.S. Presidential Primaries: How Much Do Political Elites Shape Early Primary Public Opinion" (with Paulo Albuquerque, Michael Peress, and Javier Vidal-Berastain) (Marketing Dynamics 2016 Slides)

“Differential Effects of Social Media on Regular and Infrequent Viewers of Television” (with Renana Peres and Sarah Gelper)

“What Happens When You Start Shopping for Groceries Online?” (with Shaoyin Du and Paul Ellickson)

“Category Spillovers in Grocery Retail” (with Paul Ellickson and Bowen Luo)

"SKUs Can Inform and Persuade Consumers in a Growing Experience Good Category" (with Bhoomija Ranjan)

Marketing Research - Simon Executive MBA/MBA/MS in Marketing
Advertising and Sales Promotion - Simon MBA/MS in Marketing
Consumer Behavior - Simon MBA/MS in Marketing
Marketing Management - Duke Undergraduate
Intro to Marketing - Boise State University Undergraduate course