Replication data for: No News is News: Non-Ignorable Non-Response in Roll-Call Data Analysis
<|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:'Roll-call votes are widely employed to infer the ideological proclivities of legislators. However, many roll-call matrices are characterized by high levels of non-response. Under many circumstances, non-response cannot be assumed to be ignorable. We examine the consequences of violating the ignorability assumption that underlies current methods of roll-call analysis. We present a basic estimation framework to model non-response and vote choice concurrently, build a model that captures the logic of competing principals that underlies accounts of non-response in many legislatures, and illustrate the payoff of addressing non-ignorable non-response through simulations and actual data. We conclude that modeling presumed patterns of non-ignorable non-response can yield important inferential payoffs over current models that assume random missi' . 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" : ["Bayesian inference","Item-response theory","Missing data","Roll-call data","Voting abstention"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Roll-call votes are widely employed to infer the ideological proclivities of legislators. However, many roll-call matrices are characterized by high levels of non-response. Under many circumstances, non-response cannot be assumed to be ignorable. We examine the consequences of violating the ignorability assumption that underlies current methods of roll-call analysis. We present a basic estimation framework to model non-response and vote choice concurrently, build a model that captures the logic of competing principals that underlies accounts of non-response in many legislatures, and illustrate the payoff of addressing non-ignorable non-response through simulations and actual data. We conclude that modeling presumed patterns of non-ignorable non-response can yield important inferential payoffs over current models that assume random missi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Roll-call votes are widely employed to infer the ideological proclivities of legislators. However, many roll-call matrices are characterized by high levels of non-response. Under many circumstances, non-response cannot be assumed to be ignorable. We examine the consequences of violating the ignorability assumption that underlies current methods of roll-call analysis. We present a basic estimation framework to model non-response and vote choice concurrently, build a model that captures the logic of competing principals that underlies accounts of non-response in many legislatures, and illustrate the payoff of addressing non-ignorable non-response through simulations and actual data. We conclude that modeling presumed patterns of non-ignorable non-response can yield important inferential payoffs over current models that assume random missi
Bayesian inference; Item-response theory; Missing data; Roll-call data; Voting abstention