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Activity Details

439 Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Topics in Marketing — Contributed Speed
Section on Statistics in Marketing, Text Analysis Interest Group
Chair(s): Liu Liu, University of Colorado Boulder - Leeds School of Business
4:05 PM Capturing Heterogeneity Among Consumers with Multi-Taste Preferences
Liu Liu, University of Colorado Boulder - Leeds School of Business; Daria Dzyabura, New Economics School
4:10 PM CATA Data: Are There Differences in Perception?
Fabien Llobell, Addinsoft, XLSTAT; Davide Giacalone, University of Southern Denmark; Sara R. Jaeger, The New Zealand Institute for Plant & Food Research Limited; El Mostafa Qannari, StatSC, ONIRIS, INRAE, Nantes, France.
4:15 PM Data Visualization for Exploratory Factor Analysis
Nivedita Bhaktha, GESIS
4:20 PM Data Storytelling for Empowering Your Customers and Members
John VanderPloeg, Chicago Chapter of ASA; John Lee, Chicago Chapter of ASA
4:25 PM Relaxing Functional Form in Choice Models Through Gaussian Processes
Samuel I Levy, Carnegie Mellon University; Richard Mirman, Dynamic Loyalty Systems Inc.; Alan Montgomery, Carnegie Mellon University
4:30 PM Bayesian Modeling of Marketing Attribution
Ritwik Sinha, Adobe Research; David Arbour, Adobe Research; Aahlad Manas Puli, New York University
4:35 PM Modeling Time-to-Event Marketing Data: Accelerated Failure Time Model with Cure Fraction
Han Wu, Amazon; Vanja Dukic, Amazon
4:40 PM How Has COVID-19 Impacted Customer Relationship Dynamics at Food Delivery Businesses?
Daniel Minh McCarthy, Emory University; Elliot Shin Oblander, Columbia University
4:45 PM Testing New Versions of the Wage Phillips Curve in the MeMo-It Model Used by Istat
Deborah Scaccabarozzi, University of Bergamo; Daniele Toninelli, University of Bergamo; Davide Zurlo, Istat; Fabio Bacchini, Istat; Roberto Iannaccone, Istat
4:50 PM A Representative Sampling Method for Causal Inference in Social Network Experiments
Yanyan Li, University of Southern California; Qing Liu, University of Wisconsin-Madison; Sha Yang, University of Southern California
5:00 PM Shocks, Bubbles, and Crashes in Cryptocurrency Market
Min Shu, University of Wisconsin Stout; Ruiqiang Song, Michigan Technological University
5:05 PM Causal Inference and Machine Learning Techniques for Outbound Calls Strategy
Victor S.Y. Lo, Fidelity Investments; Zhuang Li, Fidelity Investments
5:10 PM Modeling Corporate Culture
Willi Cipolli, Colgate University
5:15 PM The Stories They Tell: My Interactions with the Business and How Storytelling Creates Leaders
Ben Barnard, Wells Fargo
5:20 PM Diagnosis of Bubbles and Crashes in Cryptocurrency Market Based on the Generalized Metcalfe’s Law and the Log-Periodic Power Law Singularity Model
Min Shu, University of Wisconsin Stout; Ruiqiang Song, Michigan Technological University
5:25 PM Modeling Tourists' Length of Overnight Stay in Pokhara, Nepal: Zero-Truncated Negative Binomial and Ordinary Least Square Regression Approach
Nirajan Bam, University of Northern Colorado, Greeley, USA
5:30 PM Model Selection to Forecast the Trend of COVID-19 for the Counties Near Houston, Texas
YOONSUNG JUNG, Prairie View A&M University
5:35 PM Causal Mediation Analysis with Three Mediators Where Causally Independent and Dependent Mediators Coexist
Youngho Bae, Sungkyunkwan University; Chanmin Kim, Sungkyunkwan University
Daryan Naatjes, Texas A&M University-Kingsville; Stephen A. Sedory, Texas A&M University-Kingsville; Sarjinder Singh, Texas A&M University -Kingsville
5:45 PM Floor Discussion