Bayesian analytical methods: A methodological prescription for public administration

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38 Scopus citations


In this article we describe in detail the Bayesian perspective on statistical inference and demonstrate that it provides a more principled approach to modeling public administration data. Because many datasets in public administration are population-level, one-time unique collections, or descriptive of fluid events, the Bayesian reliance on probability as a description of unknown quantities is a superior paradigm than that borrowed from Frequentist methods in the natural sciences where experimentation is routine. Here we provide a thorough, but accessible, introduction to Bayesian methods and then demonstrate our points with data on interest group influence in US state administrative agencies.

Original languageEnglish (US)
Pages (from-to)457-494
Number of pages38
JournalJournal of Public Administration Research and Theory
Issue number2
StatePublished - Apr 2013

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science
  • Public Administration
  • Marketing


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