Mitchell J. Lovett

Research

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 spans three areas: (1) advertising, brands, and word-of-mouth, (2) political marketing, and (3) retailing and pricing. 

Teaching

I have developed and taught a wide-range of masters and MBA courses including advanced marketing strategy, analytics design and applications, marketing research, advertising strategy, consumer behavior, and multiple EMBA courses. I also teach a marketing seminar on core quantitative models and co-teach topical research seminars. My teaching is highly rated and has received multiple teaching awards decided by students and faculty.

CV

Google Scholar Page

Papers Published/Forthcoming/Conditionally Accepted 

• Huang, Yufeng, Paul B. Ellickson, and Mitchell J. Lovett (2022), “Learning to Set Prices,” Journal of Marketing Research, 59 (2), 411-434.

• Gordon, Brett R., Mitchell J. Lovett, Bowen Luo, and James C. Reeder, III (2021), “Disentangling the Effects of Ad Tone on Voter Turnout and Candidate Choice in Presidential Elections,” Management Science, published online.

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

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

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

• Lovett, Mitchell and Richard Staelin (2016), "The Role of Paid and Earned Media in Building an Entertainment Brand: Reminding, Informing, and Enhancing Enjoyment", Marketing Science, 35(1), 142-157.

• Lovett, Mitchell and Michael Peress (2015), "Targeting Political Advertising on Television," Quarterly Journal of Political Science, 10(3), 391-432.

• Lovett, Mitchell, Renana Peres, and Ron Shachar (2014), "A Dataset of Brands and their Characteristics," Marketing Science, 33 (4), 609-617.

  • Disaggregate Data, Aggregate Full Brand Characteristics Data, Annotated Questionnaire

• Lovett, Mitchell, Renana Peres, and Ron Shachar (2013), "On Brands and Word of Mouth," Journal of Marketing Research, 50(August), 427-444.  (Web appendix) (Excel too for decision support)

William F. O’Dell Award Finalist, lead article, and selected for JMR press campaign

A fun video to communicate the ideas simply: YouTubeVideo

• Gordon, Brett, Mitchell Lovett, Ron Shachar, Kevin Arceneaux, Sridhar Moorthy, Michael Peress, Akshay Rao, Subrata Sen, David Soberman, and Oleg Urminsky (2012), "Marketing and politics: Models, behavior, and policy implications," Marketing Letters, 23(2), 391-403.

• Belloni, Alexandre, Mitchell Lovett, William Boulding, and Richard Staelin (2012), "Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers," Marketing Science, 31(4), 621-636.

• Lovett, Mitchell and Ron Shachar (2011), "Seeds of Negativity: Knowledge and Money," Marketing Science,30(3), 430-446.

• Lovett, Mitchell and Jason 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

• “Private Labels and Retailer Profitability: Bilateral Bargaining in the Grocery Chain" (with Paul Ellickson, Takeaki Sunada, and Pianpian Kong)

• "Who Let the Dogs Out? News Media Attention Stimulates Negative Political Advertising" (with Kang Huang and Ron Shachar)

• ”Opposing Influences of YouTube Influencers: Purchase and Usage Effects in the Video Game Industry" (with Avery Haviv and Nan Li, who is the lead author)

  • Previously circulated under the titles ”The Effect of Extending and Sharing Intellectual Property Rights” and ”Digital Marketing and Intellectual Property Rights: Leveraging Events and Influencers”

• “Second Screening While Watching TV: Characteristics, Determinants, and Effect on Repeat Viewing” (with Renana Peres, and Sarah Gelper)

• “Using Machine Learning for Causal Inference in Marketing” (chapter) slides

• “Did You Notice the Hidden Fees? Evidence from Airbnb” (with Shaoyin Du and Paul Ellickson)

• “(Un)Expected Consequences of Becoming a New Format Shopper: A Causal Approach,” (with Paul Ellickson and Xavi Vidal-Berastain, who is the lead author)

• “The Effect of Location and Assortment on Category Consideration, Learning, and Choice” (with Paul Ellickson and Bhoomija Ranjan, who is the lead author)

• “Consumer Demand under Mail-in Rebates” (with Yufeng Huang, James Prinzi, and Shengyu Zhu, who is the lead author)

• "Consumer Learning Models for Perceived and Actual Product Instability" (with William Boulding and Richard Staelin)

Works-in-Progress

• "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)

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

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

• “Learning of Sales Agents to Provide Customized Discounts: Empirical Evidence from the Auto Service Market” (with Yufeng Huang, James Prinzi, and Shenyu Zhu, who is the lead author)