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
Qing Liu, University of Wisconsin-Madison ; Sha Yang, University of Southern California
5:00 PM
Shocks, Bubbles, and Crashes in Cryptocurrency Market
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
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
5:40 PM
AN UNBIASED REGRESSION TYPE ESTIMATOR OF PROPORTION IN RANDOMIZED RESPONSE SAMPLING BY USING ANOVA MECHANISM
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
