Marketing Department Colloquia 2022-2023

Michael Pollmann
Assistant Professor of Economics
Duke University, Economics Department

Causal Inference for Spatial Treatments

• ABSTRACT
• PAPER

Hal Hershfield
Professor of Marketing and Behavioral Decision Making
UCLA’s Anderson School of Management

Room: 260 JMHH

This seminar is co-hosted by the Legal Studies & Business Ethics Seminar Series

Back To the Present: How Direction of Mental Time Travel Affects Thoughts and Behavior

• ABSTRACT
• PAPER

Jeremy Yang
Assistant Professor of Business Administration
Harvard University, Harvard Business School

Engagement that Sells: Influencer Video Advertising on TikTok

• ABSTRACT
• PAPER

Ali Goli 
Assistant Professor of Marketing
University of Washington, Marketing Foster School of Business

Personalized Versioning: Product Strategies Constructed from Experiments on Pandora

• ABSTRACT
• PAPER

Brian D Knutson
Professor of Psychology
Stanford University, Department of Management

Promise and Puzzles of Neuroforecasting

• ABSTRACT
• PAPER

Giovanni Compiani
Assistant Professor of Marketing
University of Chicago Booth School of Business

Online Search and Product Rankings: A Double Logit Approach

• ABSTRACT
• PAPER

Nitin Mehta
Professor of Marketing, Area Coordinator,
Marketing Area Ellison Professorship in Marketing
University of Toronto, Rotman School of Management

The Consumption of Serial Media Products and the Optimal Release Strategy

• ABSTRACT
• PAPER

The Wroe Alderson Distinguished Lecturer

Christine Moorman
T. Austin Finch, Sr. Professor of Business Administration
Duke University, Fuqua School of Business

Windows of Opportunity: Reflections and Directions for Marketing

Steven Tadelis
Professor of Economics, Business and Public Policy
University of California Berkeley, Haas School of Business

Learning, Sophistication, and the Returns to Advertising:
Implications for Differences in Firm Performance

Rachel Gershon
Assistant Professor of Marketing
UC San Diego, Rady School of Management

Individuals Prefer to Harm Their Own Group Rather Than Help an Opposing Group

• ABSTRACT
• PAPER

Yu Ding  
Assistant Professor of Marketing
Stanford University, Graduate School of Business

A Novel Crowdsourcing Approach for Improving the Information Ecosystem

• ABSTRACT

Jiarui Liu
Doctoral Candidate in Economics
University of Chicago, Kenneth C. Griffin Department of Economics

Who Should Be Subsidized for Electric Vehicles? Demand Estimation and Policy Design Under Network Effects

• ABSTRACT
• PAPER

Spyros Zoumpoulis
Assistant Professor of Decision Sciences
INSEAD, Fontainebleau

A Sample Size Calculation for Training and Certifying Targeting Policies

• ABSTRACT

Ada Aka
Marketing Doctoral Candidate
University of Pennsylvania, The Wharton School

Inferring Consideration Sets: A Computational Model of Naturalistic Memory-Based Decision Making

• ABSTRACT

Zijun Tian
Doctoral Candidate
The Economics Department, School of Arts and Sciences, University of Pennsylvania

Mega or Micro? Influencer Selection Using Follower Elasticity

• ABSTRACT
• PAPER

Yegor Tkachenko
Doctoral Candidate in Quantitative Marketing
Columbia University, Columbia Business School

Reining in Long Consumer Questionnaires with Self-Supervised Deep Reinforcement Learning

• ABSTRACT
• PAPER

Xinyao Kong
Doctoral Candidate in Quantitative Marketing
University of Chicago, Booth School of Business

Heterogeneous Consumer Dynamics and the Financing Gap

• ABSTRACT

Alexander Fulmer
Doctoral Candidate in Behavioral Marketing
​Yale School of Management

How Selection Can Beget Fun: Examining a New Product Selection Method

• ABSTRACT
• PAPER

Nils Wernerfelt
Director, Economics and Policy Research Team with Meta (Facebook)
Meta

Estimating The Value of Offsite Data to Advertisers on Meta
(with Anna Tuchman, Bradley T. Shapiro, and Robert Moakler)

• ABSTRACT
• PAPER

Amir Tohidi
Doctoral Candidate in Social & Engineering Systems and Statistics
MIT

Habits in Consumer Purchases: Evidence from Store Closures

• ABSTRACT
• PAPER

Yuyan Wang
Senior Researcher on Google Brain Recommender Research Team
Google Brain {Alumni – Princeton University, Department of Operations Research and Financial Engineering}

Recommending for a Three-Sided Food Delivery Marketplace: A Multi-Objective Hierarchical Approach

• ABSTRACT
• PAPER

George Gui
Doctoral Candidate in Quantitative Marketing
Stanford, GSB

Designing Promises with Reference-Dependent Customers: The Case of Online Grocery Delivery Time

• ABSTRACT