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Presidents Improve Bureaucracy Through Experience: How Agency Appointments Reflect Their Learning Curve
Insights from the Field
experiential learning
presidential appointments
federal agencies
agency leadership
American Politics
AJPS
13 Stata files
7 datasets
6 PDF files
49 text files
5 other files
Dataverse
Experiential Learning and Presidential Management of the U.S. Federal Bureaucracy: Logic and Evidence from Agency Leadership Appointments was authored by George Krause and Anne Joseph O'Connell. It was published by Wiley in AJPS in 2016.

Introduction: New research reveals how U.S. presidents enhance their bureaucratic management skills over time through appointment decisions.

* Theory & Concept: This study examines the experiential learning theory applied to presidential administration, focusing on three key dimensions:

* Agent Selection Learning: Reducing information gaps between White House and agencies.

* Agent Monitoring Learning: Achieving vertical trait alignment in leadership hierarchies.

* Common Agency Learning: Prioritizing loyalty amid horizontal policy conflicts.

* Data & Methods: Analyzes appointment patterns from 1977-2009 across all U.S. federal agencies, specifically looking at Senate-confirmed leaders and their traits over time.

* Findings: Presidents demonstrate significant improvement in bureaucratic management as their tenure increases:

* Strategic selection shows enhanced understanding of agency needs.

* Monitoring patterns reveal better alignment between top leadership and subordinates.

* Loyalty premiums increase predictably during periods of policy conflict with Congress.

* Why It Matters: This longitudinal evidence demonstrates how presidents' appointment strategies evolve systematically, providing insights into administrative development over time while complementing broader studies on White House reliance on bureaucratic mechanisms.

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American Journal of Political Science
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