June 2026 Live Online Short Course
Advanced Regression II: Binary Outcomes: Interactions, Endogeneity, and Panel Data
Dr. Jesper N. Wulff
Monday, June 8 – Thursday, June 11 | 10:00 AM – 3:00 PM
Course Description
This short course provides a deep dive into advanced binary regression models for management research, with a focus on average partial effects (APEs). The course develops a unified framework for interpreting how covariates affect outcome probabilities, rather than relying on model coefficients. We begin with the linear probability model (LPM) and probit, covering estimation, interpretation, and practical significance. We then address interaction analysis using predicted probabilities, marginal effects, and visualization, combined with formal testing and sensitivity analysis. A key feature of the course is that these core tools—APEs, interaction analysis, practical significance, and sensitivity analysis—are developed in foundational models and then extended to advanced settings, including instrumental variables (2SLS and control function approaches) and panel data models (correlated random effects and pooled probit). Throughout, a running example from management research is used, with hands-on implementation in both Stata and R.
Meet the Instructor
Jesper N. Wulff is a Professor in the Department of Economics and Business Economics at Aarhus University. His research advances statistical methodology in organizational science through the development of techniques for statistical and causal inference. Jesper’s work has been published in various outlets including Organizational Research Methods, Journal of Management, and Journal of International Business Studies. He serves as as an Associate Editor and Method Reviewer for The Leadership Quarterly, as a Methods Consultant for the Journal of Management, and as Editorial Board member for CARMA where he helps shape methodological standards in organizational research.