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Panel Data Analysis: A Guide for Nonprofit Studies

Published online by Cambridge University Press:  01 January 2026

Yuhao Ba Open the ORCID record for Yuhao Ba [Opens in a new window] ,
Jessica Berrett  and
Jason Coupet
Yuhao Ba*
Affiliation:
Department of Public Administration, North Carolina State University, Campus Box 8102, Raleigh, NC 27695, USA
Jessica Berrett
Affiliation:
School of Public Affairs, University of Colorado–Colorado Springs, Colorado Springs, CO 80918, USA
Jason Coupet
Affiliation:
Department of Public Administration, North Carolina State University, Campus Box 8102, Raleigh, NC 27695, USA
*
yba@ncsu.edu
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Abstract

The growing push in nonprofit studies toward panel data necessitates a methodological guide tailored for nonprofit scholars and practitioners. Panel data analysis can be a robust tool in advancing the understanding of causal and/or more nuanced inferences that many nonprofit scholars seek. This study provides a walk-through of the assumptions and common modeling approaches in panel data analysis, as well as an empirical illustration of the models using data from the nonprofit housing sector. In addition, the paper compiles applications of panel data analysis by scholars in leading nonprofit journals for further reference.

Keywords

Panel data analysisFixed effectsRandom effectsDynamic modelArellano–Bond

Information

Type
Research Papers
Information
Voluntas: International Journal of Voluntary and Nonprofit Organizations , Volume 34 , Issue 2 , April 2023 , pp. 193 - 208
Copyright
Copyright © International Society for Third-Sector Research 2021

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