This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Path dependence: a foundational concept for historical social science

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Paul A. David () (Department of Economics, Stanford University, Stanford, CA 94305-6072, USA & Oxford Internet Institute, University of Oxford, Oxford, UK)

Additional information is available for the following registered author(s):

Abstract

This introduction to the concept of path dependence, its pertinence for the development of historical social science, and its application in economic analysis and economic history, proceeds from intuitive general ideas about history and historicity in narratives. It provides precise definitions of what is meant by describing a dynamical process as being “historical.” Deterministic and stochastic formalizations of such dynamical systems are distinguished. The characterization of stochastic path dependent processes as “non-ergodic” is explained in non-mathematical language by reference to concepts in probability theory, and a variety of representations of such processes in formal models is surveyed (including the Polya urn-process, certain kinds of Markov chain models, branching processes, and reversible spin systems) to show that while all display path dependence, their properties in other respects are quite different. The diverse set of structural, micro-level conditions that can give rise to path dependence is examined, and a further distinction is drawn between the property of path dependence and the existence of so-called “QWERTY-effects”—characterized by decentralized competitive market failures and consequent “lock-in” to Pareto-inefficient equilibria. Concluding sections consider the implications of the existence of non-ergodic dynamics for the methods of economic policy analysis, and the nature of the guidance that can be obtained in regard to public policy affecting endogenous technological change and institutional evolution.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.springerlink.com/content/330260526w702841/fulltext.pdf
File Format: application/pdf
File Function:
Download Restriction: no
File URL: http://www.springerlink.com/content/330260526w702841/fulltext.html
File Format: text/html
File Function:
Download Restriction: no

Publisher Info
Article provided by Association Française de Cliométrie (AFC) in its journal Cliometrica, Journal of Historical Economics and Econometric History.

Volume (Year): 1 (2007)
Issue (Month): 2 (July)
Pages: 91-114
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:afc:cliome:v:1:y:2007:i:2:p:91-114

Contact details of provider:
Web page: http://www.cliometrie.org
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Karine Pellier).

Related research
Keywords:

Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2008-7-22.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.