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Presidents and nonprofits: Illustrating compositional modeling of the U.S. nonprofit sector

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  • Samantha Zuhlke

Abstract

Objectives Nonprofits sit at the intersection of policy and politics. Compositional modeling presents an opportunity for nonprofit scholars to investigate trade‐offs within the nonprofit sector. Methods Using U.S. nonprofit and political data from 1993 to 2013, I employ a dynamic pie modeling strategy to illustrate how federal politics affect the composition of the nonprofit sector. Results U.S. federal politics, measured as changes in presidential partisanship, correlate with trade‐offs in the composition of the nonprofit sector. Democratic presidents are associated with increases in new Human Services (HU), Environment and Animals (EN), and International/Foreign Affairs (IN) nonprofits and decreases in new Arts/Culture/Humanities (AR), Education (ED), Health (HE), Religion Related (RE), and Unknown/Unclassified (UN) nonprofit organizations. Conclusions Theoretically, politics may play a greater role in the nonprofit sector than scholars currently give credence to. Empirically, compositional modeling strategies provide avenues for new theoretical and empirical insights into nonprofit organizations.

Suggested Citation

  • Samantha Zuhlke, 2024. "Presidents and nonprofits: Illustrating compositional modeling of the U.S. nonprofit sector," Social Science Quarterly, Southwestern Social Science Association, vol. 105(4), pages 1014-1028, July.
    • Handle: RePEc:bla:socsci:v:105:y:2024:i:4:p:1014-1028
    DOI: 10.1111/ssqu.13409
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    1. Yoo Sun Jung & Flávio D. S. Souza & Andrew Q. Philips & Amanda Rutherford & Guy D. Whitten, 2020. "A command to estimate and interpret models of dynamic compositional dependent variables: New features for dynsimpie," Stata Journal, StataCorp LP, vol. 20(3), pages 584-603, September.
    2. Andrew Q. Philips & Amanda Rutherford & Guy D. Whitten, 2016. "Dynamic Pie: A Strategy for Modeling Trade‐Offs in Compositional Variables over Time," American Journal of Political Science, John Wiley & Sons, vol. 60(1), pages 268-283, January.
    3. Ali Kagalwala & Andrew Q. Philips & Guy D. Whitten, 2021. "What About the Rest of the Pie? A Dynamic Compositional Approach to Modeling Inequality," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1534-1552, July.
    4. Simon Teasdale & Janelle Kerlin & Dennis Young & Jung In Soh, 2013. "Oil and Water Rarely Mix: Exploring the Relative Stability of Nonprofit Revenue Mixes Over Time," Journal of Social Entrepreneurship, Taylor & Francis Journals, vol. 4(1), pages 69-87, March.
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