The Generalization in the Generalized Event Count Model, with Comments on Achen, Amato, and Londregan.

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The Generalization in the Generalized Event Count Model, with Comments on Achen, Amato, and Londregan.

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Title: The Generalization in the Generalized Event Count Model, with Comments on Achen, Amato, and Londregan.
Author: King, Gary; Signorino, Curtis S.

Note: Order does not necessarily reflect citation order of authors.

Citation: King, Gary and Curtis S. Signorino. 1996. The generalized event count model, with comments on Achen, Amato, and Londregan. Political Analysis 6(1): 225-252.
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Abstract: We use an analogy with the normal distribution and linear regression to demonstrate the need for the Generalized Event Count (GEC) model. We then show how the GEC provides a unified framework within which to understand a diversity of distributions used to model event counts, and how to express the model in one simple equation. Finally, we address the points made by Christopher Achen, Timothy Amato, and John Londregan. Amato's and Londregan's arguments are consistent with ours and provide additional interesting information and explanations. Unfortunately, the foundation on which Achen built his paper turns out to be incorrect, rendering all his novel claims about the GEC false (or in some cases irrelevant).
Published Version: http://pan.oxfordjournals.org/cgi/content/abstract/6/1/225
Other Sources: http://gking.harvard.edu/files/generaliz.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4266311

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  • FAS Scholarly Articles [7470]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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