top of page
Chul Kim, Marketing, Baruch, CUNY, University of Maryland (UMD), College Park, KAIST

Chul Kim

Assistant Professor of Marketing
Baruch College
City University of New York

CV Download
Email: chul[dot]kim[at]baruch[dot]cuny[dot]edu

Employment & Education

  • Assistant Professor (2017- ), Marketing, Baruch College, CUNY

  • Lecturer (2015-2017), Marketing, University of Maryland

  • Data Scientist (2013-2015), Samsung Economic Research Institute

  • Ph.D. (2013), Management Engineering, KAIST

  • B.S. (2007), Industrial Engineering, KAIST

Research Interest

  • Substantive

    • Crowdfunding, Social Media, Online Search, Multi- channel Attribution

  • Methodology

    • Dynamic Structural Econometric Models, Optimal Sequential Search Models, Economic Modeling for Consumers’ Choice, Bayesian Statistics in Marketing Research

  • Skills in Data Science

    • Deep Learning, Classification, Dimension Reduction, Topic Model, R, Python, C++, MATLAB, SAS, SQL

Publications

  • “Outside Good Utility and Substitution Patterns in Direct Utility Models”, Chul Kim, Adam Smith, Greg Allenby, and Jaehwan Kim (2023), Journal of Choice Modeling, 49

  • “Copula-based Direct Utility Models for Correlated Choice Alternatives”, Chul Kim, D.B. Jun, and Sungho Park (2022), Quantitative Marketing and Economics, 20, 69-99

  • “The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform”, Jaehwuen Jung, Hyungsoo Lim, Dongwon Lee, and Chul Kim (2021), Information Systems Research, 33(4)

  • “Modeling Dynamics in Crowdfunding”,Chul Kim, PK Kannan, Michael Trusov, and Andrea Ordanini (2020),
    Marketing Science, 39(2)

  • “Capturing Flexible Correlations in Multiple-Discrete Choice Outcomes using Copulas”,
    Chul Kim, D.B. Jun, and Sungho Park (2018), International Journal of Research in Marketing, 35(1)

  • “Modeling Structural Heterogeneity in Reference Price Formation”,
    Chul Kim and Youngju Kim (2016), Journal of Korean Marketing Association, 31(3)

bottom of page