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Replication Data for: Genetic Imprints, Party Life Cycles and Organizational Mortality: An Application of State-Space Duration Models

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

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Title Replication Data for: Genetic Imprints, Party Life Cycles and Organizational Mortality: An Application of State-Space Duration Models
 
Identifier https://doi.org/10.7910/DVN/BXGLMT
 
Creator Bolleyer, Nicole
Correa, Patricia
Katz, Gabriel
 
Publisher Harvard Dataverse
 
Description It is a classical argument that how parties are born affects the way they die. However, few studies have theorized and rigorously estimated the impact of central formative features on the risk of organizational death over the course of parties’ entire lifespan. Using a life cycle perspective, we theorize how and when party mortality is shaped by four formative features constituting parties’ heritage: insider status, societal rootedness, ideological novelty, and roots in pre-existing parties. We fit a state-space competing risks model to a new dataset covering 204 party trajectories in 22 consolidated democracies to assess the dynamic influence of these formative features on two distinct types of death: dissolution and merger. Our flexible approach to modelling time dependency outperforms conventional methods and generates novel insights about the time-varying relationship between party heritage and mortality fundamental to whether party renewal is likely to enhance democracies’ representative capacity.
 
Subject Social Sciences
Organizational mortality
life-cycle theory
party lifespans
party heritage
state-space models
 
Contributor Katz, Gabriel