Record Details

Replication data for: Modeling, Measuring and Distinguishing Path Dependence, Outcome Dependence and Outcome Independence

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication data for: Modeling, Measuring and Distinguishing Path Dependence, Outcome Dependence and Outcome Independence
 
Identifier https://doi.org/10.7910/DVN/DE2PLL
 
Creator John E. Jackson
Ken Kollman
 
Publisher Harvard Dataverse
 
Description Path dependence is commonly used to described 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.
 
Subject Path Dependence
 
Date 2011