WORKSHOP | Causal Inference in Management Research

Causal Inference in Management Research

Date and Time

Session I: 2-5 pm  (Beijing Time), June 9, 2023

Session II: 1-4 pm  (Beijing Time), June 12, 2023

Format:

Slides: English; Talk: English

Two sessions: 3 hours (including Q&A) each day

Presenter:

Dr. Xiaolin Li, London School of Economics and Political Science

Abstract:

There has been considerable recent interest in causal inference in marketing research. New methods and tools continue to evolve. In this workshop, I review the current quantitative methods used for causal inference in marketing research. We will discuss design, estimation, and statistical inference for a range of causal inference tools. In particular, we will discuss topics including experimental design, instrumental variables, difference-in-difference, matching methods (propensity score matching, synthetic control, synthetic diff-in-diff), and machine learning methods. For each method, I will introduce the approach briefly and discuss application using examples from Marketing research.

Short Bio of Guest:

Dr. Xiaolin Li is an Assistant Professor at the Department of Management, London School of Economics and Political Science (LSE). She was formerly an Assistant Professor of Marketing at Naveen Jindal School of Management, University of Texas at Dallas. She received her Ph.D degree in Marketing from Carlson School of Management, University of Minnesota. Dr. Li’s research areas include marketing channels, salesforce incentive design, and digital platforms. Methodologically, she is is an empirical modeler who strives to bring the most appropriate data collection and analysis techniques to bear on the problem at hand. Dr. Li has published her work on Marketing Science, Management Science, Journal of Marketing Research, Journal of Consumer Research, International Journal of Research in Marketing.