What can causal process tracing offer to policy studies? a review of the literature
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Kay, Adrian
Baker, Phillip
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Wiley
Abstract
Causal process tracing (CPT) has emerged as an important method of causal inference in qualitative
social science research, most notably in case study research designs. There is now a considerable
literature on the aims, philosophical groundings, and methods of process tracing. This paper reviews the
CPT literature to assess what new directions it may suggest for policy studies. The first part of the paper
sets out the methodological advantages CPT offers in building and testing theories of policy change,
most notably in supporting a theoretical pluralism to address the problem of complexity in policy
studies. Building on recent scholarship across the social sciences, the second part examines step by step
the recently minted “best practice” for undertaking CPT in policy studies. This part includes discussion
of the possible pitfalls of CPT as a method; common errors involved in its use are set out and
minimization strategies offered. In particular, while acknowledging the usefulness of Bayesian tests for
causality as heuristic devices, we emphasize the limitations of applying such tests in practice. Possible
correctives are suggested. The final part of the paper speculates more generally on the potential of CPT
to improve our investigation of patterns of policy change over time.
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Policy Studies Journal