Replication Data for: Strategic Binary Choice Models with Partial Observability
<|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:'Strategic interactions among rational, self-interested actors are commonly theorizedin the behavioral, economic, and social sciences. The theorized strategicprocesses have traditionally been modeled with multi-stage structural estimators,which improve parameter estimates at one stage by using the information fromother stages. Multi-stage approaches, however, impose rather strict demands ondata availability: data must be available for the actions of each strategic actor atevery stage of the interaction. Observational data are not always structured in amanner that is conducive to these approaches. Moreover, the theorized strategicprocess implies that these data are missing not at random. In this paper, I derivea strategic logistic regression model with partial observability that probabilisticallyestimates unobserved ac' . 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" : ["data missing not at random","partial observability","Strategic choice models"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Strategic interactions among rational, self-interested actors are commonly theorizedin the behavioral, economic, and social sciences. The theorized strategicprocesses have traditionally been modeled with multi-stage structural estimators,which improve parameter estimates at one stage by using the information fromother stages. Multi-stage approaches, however, impose rather strict demands ondata availability: data must be available for the actions of each strategic actor atevery stage of the interaction. Observational data are not always structured in amanner that is conducive to these approaches. Moreover, the theorized strategicprocess implies that these data are missing not at random. In this paper, I derivea strategic logistic regression model with partial observability that probabilisticallyestimates unobserved ac' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Strategic interactions among rational, self-interested actors are commonly theorizedin the behavioral, economic, and social sciences. The theorized strategicprocesses have traditionally been modeled with multi-stage structural estimators,which improve parameter estimates at one stage by using the information fromother stages. Multi-stage approaches, however, impose rather strict demands ondata availability: data must be available for the actions of each strategic actor atevery stage of the interaction. Observational data are not always structured in amanner that is conducive to these approaches. Moreover, the theorized strategicprocess implies that these data are missing not at random. In this paper, I derivea strategic logistic regression model with partial observability that probabilisticallyestimates unobserved ac
data missing not at random; partial observability; Strategic choice models