June 2025 Live Online Short Course
Panel Analysis Macro Data
Dr. DJ Schepker
Monday, January 5 – Thursday, January 8 | 10:00 AM – 3:00 PM
Course Description
This short course focuses on the concepts related to analyzing panel data (e.g. multiple, repeated observations on an entity over time). We will start by covering what panel data is, what makes panel data different, and how panel data is structured. After considering data structure and variation, we will cover multiple econometric models that can used to analyze panel data, such as econometric random effects and fixed effects models. We will explore when the use of these models is appropriate and their theoretical meaning. We will also explore specifications across multiple types of models and the use of the hybrid model. Finally, we will conclude with discussions around when the dependence in the data (such as time effects) may be a nuisance to be controlled for versus a variable with explanatory power. Throughout, we will explore how to conduct these models in statistical packages using a real world dataset that enables us to answer a variety of questions related to panel data.
Meet the Instructor
Donald J. “DJ” Schepker is an Associate Professor of Strategic Management and Moore Distinguished Fellow in the Darla Moore School of Business at the University of South Carolina, where he also serves as the Research Director in the Center for Executive Succession. His research focuses on executive succession planning, the causes and consequences of executive succession, corporate governance, board decision making, and dynamics between executives and boards. His research has appeared in outlets such as the Academy of Management Journal, Strategic Management Journal, Journal of Applied Psychology, Journal of Management, and Journal of Management Studies. Dr. Schepker currently serves as an Associate Editor for The Leadership Quarterly. He received his Ph.D. in Strategic Management from the University of Kansas and B.S. from Babson College.
