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This article explores how policy learning can improve comparative policy analysis by focusing on causality in learning processes. After summarizing the comparative credentials of the policy learning literature, the article outlines a framework of four learning modes, relating it to three approaches of causality: deterministic, probabilistic, and set-theoretic. It then builds on this to explore different approaches to causation and learning in relation to: policy change, political contexts, and, finally, the temporal and spatial dimensions of comparative policy analysis. The article concludes by showing how these challenges are addressed and suggesting implications for further research. [ABSTRACT FROM AUTHOR]

It seems paradoxical to suggest that theories of learning might be used to explain policy failure. Yet the Brexit fiasco connects with recent approaches linking varieties of policy learning to policy pathologies. This article sets out to explain the UK government's (mis)management of the Brexit process from June 2016 to May 2019 from a policy learning perspective. Drawing on interviews with UK policy-makers and stakeholders, we ask how did the UK government seek to learn during the Brexit negotiations? We consider four modes of learning: reflexivity, epistemic, hierarchical, and bargaining. By empirically tracing the policy process and scope conditions for each of these, we argue that learning through the first three modes proved highly dysfunctional. This forced the government to rely on bargaining between competing factions, producing a highly political form of learning which stymied the development of a coherent Brexit strategy. We argue that the analysis of Brexit as a policy process – rather than a political event – reveals how policy dynamics play an important role in shaping the political context within which they are located. The article concludes that public policy analysis can, therefore, add significant value to our understanding of Brexit by endogenising accounts of macro political developments. [ABSTRACT FROM AUTHOR]

Whilst the literature classifies policy learning in terms of types or ontological approaches (reflexive and social constructivist learning versus rational up-dating of priors), we offer a three-dimensional approach to explore the relationships between individual learning, learning in groups and the macro-dimension. Our contribution maps most (although not all) lively debates in the field on a multi-dimensional space and explores the logic of causality from micro to macro. To achieve these two aims, we draw on Coleman's 'bath-tub'. We map learning in the bath-tub by considering prominent studies on learning but also, in some cases, by exploring and drawing lessons from political science and behavioural sciences. By integrating findings in an eclectic way, we explain the logic of learning using a single template and suggest methods for empirical analysis. This is not a literature review but an original attempt to capture the causal architecture of the field, contributing to learning theory with findings from mainstream political and behavioural sciences. [ABSTRACT FROM AUTHOR]

What is the causal relationship between crisis, learning and change? How did causality unfold in the key years of 2009–2010 when the European Union had to face the most formidable attacks to the single currency and responded with substantial reforms of the euro area? We question the conventional identification of the cause-and-effect relationship provided by theories of crisis management, integration and policy learning. Drawing on models of contingent learning developed within psychology and behavioural economics, we theorize that surprise produces behavioural change via a fast-paced associative mechanism and that policy learning follows change. We then run our exercise in causal identification through a plausibility probe. We show that our argument passes the plausibility probe. Our conclusions on cognition and situational effects on learning during crises suggest a new research agenda, more sensitive to how individuals behave in the real world and more robust in its micro-foundations. [ABSTRACT FROM AUTHOR]

The field of policy learning is characterised by concept stretching and a lack of systematic findings. To systematise them, we combine the classic Sartorian approach to classification with the more recent insights on explanatory typologies, distinguishing between the genus and the different species within it. By drawing on the technique of explanatory typologies to introduce a basic model of policy learning, we identify four major genera in the literature. We then generate variation within each cell by using rigorous concepts drawn from adult education research. By looking at learning through the lenses of knowledge utilisation, we show that the basic model can be expanded to reveal sixteen different species. These types are all conceptually possible, but are not all empirically established in the literature. Our reconstruction of the field sheds light on mechanisms and relations associated with alternative operationalisations of learning and the role of actors in the process of knowledge construction and utilisation. By providing a comprehensive typology, we mitigate concept-stretching problems and lay the foundations for the systematic comparison across and within cases of policy learning. [ABSTRACT FROM AUTHOR]