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Modeling, Measuring, and Distinguishing Path Dependence, Outcome Dependence, and Outcome Independence

Published online by Cambridge University Press:  04 January 2017

John E. Jackson*
Affiliation:
Department of Political Science, University of Michigan, Ann Arbor, MI 48109
Ken Kollman
Affiliation:
Department of Political Science, University of Michigan, Ann Arbor, MI 48109
*
e-mail: jjacksn@umich.edu (corresponding author)

Abstract

Path dependence is commonly used to describe processes where “history matters,” which encompasses many different kinds of temporal dynamics. This essay distinguishes path-, or equilibrium-, dependent processes where early conditions continue to matter, from outcome-dependent processes where recent history matters and from outcome-independent processes where history does not matter. Others have argued for a precise and restrictive definition of path dependence. We build on this and distinguish among different types of outcome-dependent processes when these conditions for path dependence are not fully satisfied.

Type
Symposium on Path Dependence
Copyright
Copyright © The Author 2012. Published by Oxford University Press on behalf of the Society for Political Methodology 

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Footnotes

Edited by R. Michael Alvarez, John R. Freeman, and John E. Jackson

Author's note: Revision of a paper prepared for a Conference on Path Dependence, sponsored by the Society for Political Methodology and the Department of Political Science at the University of Minnesota, Minneapolis, MN, June 4 and 5, 2010. We are grateful to Jude Hayes and John Freeman in particular and the conference participants in general for their very helpful comments and suggestions. All errors are, of course, our own.

References

Acemoglu, Daron, Johnson, Simon, and Robinson, James A. 2001. The colonial origins of comparative development: An empirical investigation. American Economic Review 91(5): 1369–401.Google Scholar
Acemoglu, Daron, Johnson, Simon, and Robinson, James A. 2002. Reversal of fortune: Geography and institutions in the making of the modern world income distribution. The Quarterly Journal of Economics 117(4): 1231–94.Google Scholar
Beck, Nathaniel. 1983. Time-varying parameter regression models. American Journal of Political Science 27(3): 557600.CrossRefGoogle Scholar
Davidson, Russell, and MacKinnon, James G. 1993. Estimation and inference in econometrics. Oxford, UK: Oxford University Press.Google Scholar
Davidson, Russell, and MacKinnon, James G. 2004. Econometric theory and methods. Oxford, UK: Oxford University Press.Google Scholar
De Boef, Suzanna, and Keele, Luke. 2008. Taking time seriously. American Journal of Political Science 52(1): 184200.Google Scholar
Enders, Walter. 2010. Applied econometric time series. 3rd ed. Hoboken, NJ: John Wiley & Sons.Google Scholar
Engerman, Stanley L., and Sokoloff, Kenneth L. 2002. Factor endowments, inequality, and paths of development among new world economies. Economia 3(1): 4188.Google Scholar
Feller, William. 1968. An introduction to probability theory and its application. Vol. 1. 3rd ed. Hoboken, NJ: John Wiley & Sons.Google Scholar
Freeman, John R. 1989. Systematic sampling, temporal aggregation, and the study of political relationships. Political Analysis 1: 6198.Google Scholar
Freeman, John R. 2011. Research note: Can time series methods be used to detect path dependence? Revised version of a Paper presented at the Conference on Path Dependence. University of Minnesota, Minneapolis, MN. June 4 & 5, 2010. http://www.polisci.umn.edu/freeman/pathdependence.pdf.Google Scholar
Greene, William H. 2008. Econometric analysis. 6th ed. Upper Saddle River, NJ: Pearson Prentice Hall.Google Scholar
Grzymała-Busse, Anna. 2007. Rebuilding Leviathan. Cambridge, UK: Cambridge University Press.Google Scholar
Hacker, Jacob S. 2002. The divided welfare state. Cambridge, UK: Cambridge University Press.Google Scholar
Hamilton, James D. 1994. Time series analysis. Princeton, NJ: Princeton University Press.Google Scholar
Heckman, James J. 1991. Identifying the hand of the past: Distinguishing state dependence from heterogeneity. American Economic Review 81(2): 75–9.Google Scholar
Hellman, Joel S. 1998. Winners take all: The politics of partial reforms in Post-communist transitions. World Politics 50(2): 203–34.Google Scholar
Jackson, John E. 1996. Political methodology: An overview. In New handbook of political science, ed. Goodin, Robert and Klingemann, Hans-Dieter. Oxford, UK: Oxford University Press.Google Scholar
Jackson, John E., and Kollman, Ken. 2010. A formulation of path dependence with an empirical example. Quarterly Journal of Political Science 5(3): 257–89.Google Scholar
Jackson, John E., and Mach, Bogdan W. 2011. Statistics: Overview. In International encyclopedia of political science, ed. Badie, Bernard, Berg-Schlosser, Dirk, and Morlino, Leonardo. Thousand Oaks, CA: Sage Publications.Google Scholar
Kuh, Edwin. 1959. The validity of cross-sectionally estimated behavior equations in time series applications. Econometrica 27(2): 197214.Google Scholar
Nelson, Joan M. 1993. The politics of economic transformation. World Politics 45(2): 433–63.Google Scholar
Organization for Economic Cooperation and Development. 2010. OECD health data 2010. Paris, France.Google Scholar
Page, Scott E. 2006. Path dependence. Quarterly Journal of Political Science 1: 87115.Google Scholar
Roland, Gérard. 2000. Transition and economics: Politics, markets, and firms. Cambridge, MA: MIT Press.Google Scholar
Sachs, Jeffrey D., and Pistor, Katharina. 1997. Introduction: Progress, pitfalls, scenarios, and lost opportunities. In The rule of law and economic reform in Russia, ed. Sachs, Jeffrey D. and Pistor, Katharina. Boulder, CO: Westview Press.Google Scholar
Woodberry, Robert, Clark, William Roberts, and Doces, John A. 2011. Protestant missionaries and economic growth. Ann Arbor, MI: Department of Political Science, University of Michigan.Google Scholar