Comparar métodos

	Institutional Analysis and Development Framework	Policy Feedback Analysis
Área	Public Policy	Public Administration
Família	Process / pipeline	Process / pipeline
Ano de origem	2005	1993
Autor original	Elinor Ostrom & the Bloomington School	Paul Pierson
Tipo	Framework for analysing institutions and collective action	Theoretical-analytical framework for policy effects on politics
Fonte seminal	Ostrom, E. (2005). Understanding Institutional Diversity. Princeton, NJ: Princeton University Press. ISBN: 9780691122380	Pierson, P. (1993). When Effect Becomes Cause: Policy Feedback and Political Change. World Politics, 45(4), 595–628.
Outros nomes	IAD, IAD Framework, Ostrom IAD Framework	Policy Feedback Theory Analysis, Feedback Effects Analysis, Policy-as-Cause Analysis, Self-Reinforcing Policy Analysis
Relacionados	4	4
Resumo	The Institutional Analysis and Development (IAD) framework is a general framework for analysing how institutions — the rules, norms and shared strategies that structure human interaction — shape behaviour and outcomes. Developed by Elinor Ostrom and colleagues at Indiana University's Bloomington School over several decades and synthesised in her 2005 book Understanding Institutional Diversity, it places an 'action situation' at its centre: a structured setting in which actors interact, influenced by biophysical conditions, community attributes and rules-in-use. The framework was central to Ostrom's Nobel-winning work on how communities govern common-pool resources without privatisation or top-down state control.	Policy feedback analysis examines how policies, once enacted, reshape the politics that follow — turning yesterday's policy effects into today's political causes. Drawing on Paul Pierson's foundational 1993 article 'When Effect Becomes Cause,' it holds that policies are not just outputs of politics but powerful forces that create resources and incentives for groups, build administrative capacities, and shape how citizens understand their interests and their government. By tracing these resource and interpretive feedback effects over time, the method explains why some policies become self-reinforcing and politically durable, why others undermine their own support, and why policy change is often path-dependent and hard to reverse.