Casual inference in historical institutional analysis: a specification of periodization strategies
By: Lieberman, Evan S.
Material type:
ArticlePublisher: 2001Description: p.1011-035.Subject(s): Historical monuments
In:
Comparative Political StudiesSummary: Although emerging streams of historical institutional(HI) ananalysis have generated substantial insights in the field of comparative politics, has lacked a self conscious approach to methodology. This article specifies the comparative historical methods that may HI scholars have implictly used for estimating the casual effect of political institutions on key policy and other political outcomes. It demonostrates how various periodization strategies are deployed to sort out the influence of a host of hypothesized and rival explanatory factors. In addition to explicating these methods, the article critically exmanies recents works of HI scholarship, highlighting the analytical leverage generated through studies that might ordinarily seem to suffer from the problem of small samples. More explicit deployment of these methjods would both improve the quality of HI analysis and make its findings more transparent for further evaluation and emulation.-Reproduced.
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Articles
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Indian Institute of Public Administration | Volume no: 34, Issue no: 9 | Available | AR51544 |
Although emerging streams of historical institutional(HI) ananalysis have generated substantial insights in the field of comparative politics, has lacked a self conscious approach to methodology. This article specifies the comparative historical methods that may HI scholars have implictly used for estimating the casual effect of political institutions on key policy and other political outcomes. It demonostrates how various periodization strategies are deployed to sort out the influence of a host of hypothesized and rival explanatory factors. In addition to explicating these methods, the article critically exmanies recents works of HI scholarship, highlighting the analytical leverage generated through studies that might ordinarily seem to suffer from the problem of small samples. More explicit deployment of these methjods would both improve the quality of HI analysis and make its findings more transparent for further evaluation and emulation.-Reproduced.
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