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A dynamic linear modelling approach to public policy change

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  • Loftis, Matt W.
  • Mortensen, Peter B.
Abstract
Theories of public policy change, despite their differences, converge on one point of strong agreement: the relationship between policy and its causes can and does change over time. This consensus yields numerous empirical implications, but our standard analytical tools are inadequate for testing them. As a result, the dynamic and transformative relationships predicted by policy theories have been left largely unexplored in time series analysis of public policy. This article introduces dynamic linear modelling (DLM) as a useful statistical tool for exploring time-varying relationships in public policy. The article offers a detailed exposition of the DLM approach and illustrates its usefulness with a time series analysis of United States defense policy from 1957 to 2010. The results point the way for a new attention to dynamics in the policy process, and the article concludes with a discussion of how this research programme can profit from applying DLMs.

Suggested Citation

  • Loftis, Matt W. & Mortensen, Peter B., 2018. "A dynamic linear modelling approach to public policy change," Journal of Public Policy, Cambridge University Press, vol. 38(4), pages 553-579, December.
    • Handle: RePEc:cup:jnlpup:v:38:y:2018:i:04:p:553-579_00
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