Applied causal inference in public sector network (Record no. 532807)

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fixed length control field 01361nam a22001337a 4500
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fixed length control field 260319b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Whetsell, Travis A. and Siciliano, Michael D.
245 ## - TITLE STATEMENT
Title Applied causal inference in public sector network
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Public Administration Review
300 ## - PHYSICAL DESCRIPTION
Extent 85(6), Nov-Dec, 2025: p.1771-1787
520 ## - SUMMARY, ETC.
Summary, etc Public administration research has increasingly turned to network analysis to understand complex inter-organizational and interpersonal dynamics. While the discipline has made significant progress in analyzing networks, it has yet to adequately address causality. This gap limits our ability to provide evidence-based insights to practitioners who must make strategic decisions within networks. This article calls for the systematic integration of causal design into network research. We identify challenges that complicate causal analysis and discuss a set of practical research designs to address threats to validity. Borrowing insights from adjacent disciplines, we demonstrate how the logic of causal inference can be applied to public sector networks. We aim to equip scholars and practitioners with the tools to evaluate causal relationships in networks.- Reproduced


https://onlinelibrary.wiley.com/doi/10.1111/puar.70009
773 ## - HOST ITEM ENTRY
Main entry heading Public Administration Review
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Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2026-03-19 85(6), Nov-Dec, 2025: p.1771-1787 AR138325 2026-03-19 Articles

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