Use of Panel Data in Supply Chain Management Research

Panel data, or longitudinal data, enables researchers to make observations across time for different groups, such as individuals, companies or countries. It has a number of advantages over other research methods.

Like time-series data, panel data includes observations collected at regular intervals, chronologically. An advantage of panel data over a single time series is that it can minimize estimation biases.

Like cross-sectional data, panel data contains observations across a collection of subjects. It also can detect and measure statistical effects that pure time series or cross-sectional data cannot.

Another advantage is that panel data contains more information, more variability and more efficiency than pure time series data or cross-sectional data.

Learn more about using panel data in supply chain management research by joining us Nov. 8 and 9 for a faculty workshop led by Sangho Chae, associate professor of operations management at Warwick Business School in England.

On the first day of the workshop, Chae will share potential sources of panel data for operations and supply chain management research. He also will explain how to identify other data sources and provide an example of how to extract data from these sources.

On the second day, participants will work in groups to identify sources of panel data for research questions they have suggested. Each group will then give a presentation on how they would go about accessing and utilizing those data sources to address the research question.

About the facilitator:

Sangho Chae joined the University of Warwick business faculty in August 2023. Previously, he held academic positions at Tilburg University and Marquette University. He earned his PhD in supply chain management from Arizona State University in 2017.

Chae’s research focuses on supply network structures and their implications for innovation, supply risk and sustainability. His research interests also include factors that bring changes to supply network structures.

He has been published in the Journal of Operations Management, Journal of Supply Chain Management and Journal of Business Logistics, among others. Several of his published studies leverage panel data analysis, incorporating diverse data sources including FactSet, Panjiva, Refinitiv and Compustat. 

Chae currently serves an associate editor of the Journal of Operations Management, Journal of Supply Chain Management and International Journal of Operations & Production Management.