Panel Data Analysis: A Guide for Nonprofit Studies
| Autor: | Jessica Berrett, Jason Coupet, Yuhao Ba |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Public Administration
Sociology and Political Science Strategy and Management 05 social sciences ComputingMilieux_PERSONALCOMPUTING ComputingMilieux_LEGALASPECTSOFCOMPUTING Data science 0506 political science Political science 0502 economics and business 050602 political science & public administration Business and International Management 050203 business & management Social policy Panel data |
| Zdroj: | VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations. |
| ISSN: | 1573-7888 0957-8765 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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