Replication Data for: Genetic Imprints, Party Life Cycles and Organizational Mortality: An Application of State-Space Duration Models
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. 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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["life-cycle theory","Organizational  mortality","party heritage","party lifespans","state-space models"]} <|eot_id|>
 Here is the Description of a dataset. 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' . Please return only a json list of at most 3 Keywords corresponding to the 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
life-cycle theory; Organizational  mortality; party heritage; party lifespans; state-space models