I'm a PhD student in Economics at NYU, with interests in Empirical Industrial Organization, Quantitative Marketing, and Applied Econometrics
My research combines methodological and empirical work.
Methodologically, I work on refining empirical IO methods by relaxing standard assumptions and addressing estimation bias to enable more realistic and policy-relevant findings.
Empirically, I study firm and consumer behavior using structural models and causal inference methods, focusing on product launches, market positioning, pricing and advertising.
Contact: ian.kim@nyu.edu
Working Papers
A Dynamic Structural Model of Endogenous Consumer Reviews in Durable Goods Markets
(with Masakazu Ishihara and Yuzhou Liu)
Unintended Racial Consequences of "Host Residency Enforcement" on Airbnb
(with Hongxian Huang, Masakazu Ishihara and Anindya Ghose)
Competing with Airbnb: Strategies of Incumbent and Entrant Hotels
(with Hyunbae Chun, Hailey Hayeon Joo, Sangkon Park and Chamna Yoon)
Work in Progress ( * : Presented by Co-author )
Sales Effects of Launch Timing and Promotion Strategies
Presented at NYU Applied Micro Seminar
Differentiated Products with Endogenous Choice Sets
(with Isabelle Perrigne, Quang Vuong and Weichen Yan)
Presented at NYU Applied Micro Seminar, NYU Econometrics Seminar, MEGC 2024, APIOC 2024, EWMES 2024, Toulouse School of Economics*
Demand Estimation with Weak and Many Instruments: An Adversarial Approach
(with Christopher Conlon, Shangwen Li and Elena Manresa)
Presented at NYU Econometrics Seminar, Columbia AI/ML 2025
DEI's Double Edged Impacts: Machine-Learning-Based Causal Evidence from Steam Game Sales and User Reviews
(with Masakazu Ishihara and Wei Lu)
Presented at Queens University*
Publications
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
(with Sungwon Park, Sungwon Han, Donghyun Ahn, Jaesurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang and Meeyoung Cha)
Proceedings of the AAAI Conference on Artificial Intelligence 2022