Eunkyung An

Ph.D. Candidate in Quantitative Marketing | NYU Stern School of Business

Welcome! I am a Ph.D. Candidate in Quantitative Marketing at NYU Stern School of Business. I will be joining the School of Business, Stevens Institute of Technology as an Assistant Professor in Fall 2024.

My research work is in the areas of quantitative marketing, primarily aiming to understand consumer behavior on online platforms. I employ various quantitative methods in my research, including structural modeling, machine learning, and field experiments. Currently, my research is centered around consumer search on online platforms, discovering market structure from unstructured data, and exploring the formation of persistent behavior in fitness app usage, along with its dynamic implications on users and the financial performance of the platforms.

My latest CV is here.

Publications

Raluca Ursu, Andrey Simonov, and Eunkyung An (2023) Online Advertising as Passive Search [SSRN]

Forthcoming at Management Science

Working Papers

Habit Formation and Financial Rewards Through Digital Fitness

with Masakazu Ishihara and Raluca Ursu, Job Market Paper

Discovering Panoramic Market Structure via Large-scale Consumer Movement Data

with Xiao Liu, Natasha Z. Foutz, and Baohong Sun

Work In Progress

Customer and Product Segmentation: A Hidden Markov Approach for Clustering Purchase Sequences

with Masakazu Ishihara and Makoto Mizuno

Framing Consumers' Social Preferences Using Pay What You Want vs. Donate What You Want

with M. Leonor Neto, Minah Jung, and Tulin Erdem