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Symposium on Models of Path Dependence

Published online by Cambridge University Press:  04 January 2017

John R. Freeman and
John E. Jackson
John R. Freeman*
Affiliation:
Department of Political Science, University of Minnesota, Minneapolis, MN 55455
John E. Jackson
Affiliation:
Department of Political Science, University of Michigan, Ann Arbor, MI 48109
*
e-mail: freeman@umn.edu (corresponding author)
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Abstract

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The symposium develops statistical models and methods for the study of path dependence. In this introductory essay, the connections between key areas in the path dependence and statistical literatures are illuminated. And some ways in which familiar time series and regression models embody these ideas are explained. The arguments in the articles in the symposium then are summarized and compared. Finally, directions for additional, statistically grounded research on path dependence are discussed.

Information

Type
Symposium on Path Dependence
Information
Political Analysis , Volume 20 , Issue 2 , Spring 2012, pp. 137 - 145
Copyright
Copyright © The Author 2012. Published by Oxford University Press on behalf of the Society for Political Methodology 

Footnotes

Authors' note: Introduction to articles originally presented at a Conference on Path Dependence, sponsored by the Society for Political Methodology, University of Minnesota, Minneapolis, MN, June 4 and 5, 2010. We thank the Society and the National Science Foundation for their assistance, the reviewers of the individual papers for their valuable contribution, and Michael Alvarez and Jonathan Katz for their interest in and support of this project. We also thank Aya Kachi and Kenneth Kollman for comments specific to this essay.

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