© Suh Yeon Kim 2019

Substantive Interests:

Customer Management (Product Returns, Product Customization, Customer Journey Analytics), Branding (Private Labels, Brand Equity Dynamics, Human Brands & Star Power)

Methodologies:

Causal Inference (Field & Quasi-Field Experiments), Applied Econometrics, Machine Learning

Industries:

Upscale Retailing, Fashion, Luxury, Entertainment

Dissertation

Title: 

Essays on Customer Management in Luxury Retailing: Empirical Applications of Causal Inference and Machine Learning Techniques to the Study of Product Returns, Customization, and Customer Reacquisition

Committee:

Working Papers

Suh Yeon Kim, Michael Lewis, and Yanwen Wang, “The Effects of a Physical Store Opening on Product Purchase and Return Behaviors: A Quasi-Experimental Approach Using the Causal Forest Method” (Job Market Paper)

Suh Yeon Kim and Michael Lewis, “Star Power Creation and Measurement: A Causal Inference and Machine Learning Based Analysis of Star Power in Combat Sports”

Suh Yeon Kim and Michael Lewis, “Status Demotions in Hierarchical Loyalty Programs”

Work in Progress

“Product Customization and Customer Value Dynamics,” with Michael Lewis (data analysis in progress)

“Cross-Selling and Re-acquisition in the Upscale Clothing Industry,” with Michael Lewis (field experiment data collected, analysis in progress)

“Human Brand Dynamics: An Empirical Analysis of the Consequences of Physical Trauma on Sports Celebrities," with Michael Lewis and Yanwen Wang (data analysis in progress)

Conference Presentations

“The Impact of Competition between Stars on Market Outcomes,” with Michael Lewis

AMA Winter Academic Conference, New Orleans, LA, February 2018

INFORMS Marketing Science Conference, University of Southern California, Los Angeles, CA, June 2017

Research Interests | Empirical Research in Marketing