Employment

University of Texas at Austin, McCombs School of Business, Austin, TX
Assistant Professor of Marketing, July 2018 – present

Education

Ph.D.  Marketing, The Wharton School at the University of Pennsylvania, 2018 

B.A. Mathematics, Statistics, and Economics (Triple Major)
Summa Cum Laude, Rice University, 2011

Research 

Methodological: Causal Inference, Quasi-experimental Methods, Synthetic Control Methods

Substantive: Omnichannel Retailing, Public Policy

Publications

Li, Kathleen T.  (2024), “Frontiers: A Simple Forward Differences-in-Differences Method,” Marketing Science  https://doi.org/10.1287/mksc.2022.0212

Li, Kathleen T. and Venkatesh Shankar (2024), “A Two-Step Synthetic Control Approach for Estimating Causal Effects of Marketing Events,” Management Science https://doi.org/10.1287/mnsc.2023.4878

Li, Kathleen T. and Christophe Van den Bulte (2023), “Augmented Difference-in-Differences” Marketing Science, 42(4): 746-767. https://doi.org/10.1287/mksc.2022.1406

– 2023 John D.C. Little Award Finalist

– 2023 Frank M. Bass Dissertation Award Finalist

Li, Kathleen T. and Garrett Sonnier (2023), “Statistical Inference for the Factor Model Approach to Estimate Causal Effects in Quasi-Experimental Settings,” Journal of Marketing Research, 60(3):449-472. https://doi.org/10.1177/00222437221137533

– 2023. Paul E. Green Award Finalist

Li, Kathleen T. (2020), “Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods,” Journal of the American Statistical Association, 115(532): 2068-2083. https://doi.org/10.1080/01621459.2019.1686986

Li, Kathleen T.
and David R. Bell (2017), “Estimation of Average Treatment Effects with Panel Data: Asymptotic Theory and Implementation,” Journal of Econometrics, 197(1): 65-75. https://doi.org/10.1016/j.jeconom.2016.01.011

Selected Working Papers and Works-in-Progress 

Li, Kathleen T. and Venkatesh Shankar, “Inference Theory for Quasi-experimental Methods with Nonstationary Data of Unknown Structure: Does the Lifting of Shelter-in-Place Keep Covid-19 Manageable?” (preparing for submission to Journal of Marketing Research in Summer 2024)

Garrett P. Sonnier, Li, Kathleen T. and Harrison Zhang “The Causal Effect of Product Line Extension: Cannibalization or Category Expansion?” (data analysis in progress)

Jessica Wu, Li, Kathleen T. and Christophe Van den Bulte “Do Store Openings Affect Categories with Digital vs. Non-Digital Attributes Differently?”  (data analysis in progress)

Teaching

MKT 360 Information and Analysis

      • Trammell CBA Foundation Teaching Award for Assistant Professors (2022) – one or two assistant professors selected each year from McCombs School of Business
      • Faculty Honor Roll (2020, 2021)
Awards and Honors

Marketing Science Institute (MSI) Young Scholar (2023)
Paul E. Green Award Finalist (2023)
John D.C. Little Award Finalist (2023)
Frank M. Bass Dissertation Award Finalist (2023)
McCombs CBA Foundation Research Excellence Award for Assistant Professors (2024)
Saroj and Vithala Rao Young Scholar Award (2023)
ISMS Early Career Scholar (2023)
McCombs Research Excellence Grant (2023, $15,000)
McCombs Trammell CBA Foundation Teaching Award for Assistant Professors (2022)
AMA Sheth Consortium Faculty Fellow (2022)
Research Reboot Award, Provost’s Office, UT Austin, (2021)
John A. Howard AMA Doctoral Dissertation Award Winner (2018)
Wharton Marketing Graduate Fellowship (2011 – 2014, 2016 – 2018)
INFORMS Doctoral Consortium Fellow (2017)
Duckworth Fellowship Nominee (2013)
NSF Foundation Graduate Research Fellowship Awardee (2011)
Phi Beta Kappa (2011)
Rice University Roy Trustee Distinguished Scholarship (2007 – 2011)
President’s Honor Roll (2007 – 2010)
SACNAS Conference Travel Scholarship (2009)
BP America Economics and Trading Scholarship (2008, awarded $10,000)
Jackie Schnell Memorial Scholarship for Academic Excellence and Service (2008)                                               National Siemens Award for Advanced Placement (2007) – one female and one male
selected in the US each year based on seven math and science AP exams

 

 

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