Replication Data for 'Direct and indirect treatment effects - causal chains and mediation analysis with instrumental variables'
<|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:'2 data sets used as empirical illustrations for the semiparametric estimation of causal direct and indirect effects of a binary treatment based on instrumental variables. The method evaluates the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment by using distinct instruments for the endogenous treatment and the endogenous mediator. The first data set contains observations from the British Household Panel Survey, the second one from the Job Corps experimental data' . 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" : ["direct and indirect effects","instruments","mediation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'2 data sets used as empirical illustrations for the semiparametric estimation of causal direct and indirect effects of a binary treatment based on instrumental variables. The method evaluates the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment by using distinct instruments for the endogenous treatment and the endogenous mediator. The first data set contains observations from the British Household Panel Survey, the second one from the Job Corps experimental data' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
2 data sets used as empirical illustrations for the semiparametric estimation of causal direct and indirect effects of a binary treatment based on instrumental variables. The method evaluates the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment by using distinct instruments for the endogenous treatment and the endogenous mediator. The first data set contains observations from the British Household Panel Survey, the second one from the Job Corps experimental data
direct and indirect effects; instruments; mediation