Replication data for 'Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments'
<|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:'Replication data for Hans Fricke, Markus Frölich, Martin Huber, and Michael Lechner (2020): 'Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments', Journal of Applied Econometrics, forthcoming.  'expdata.RData' contains the data in R format. 'attrition late public use code.R' contains the R code for replicating the empirical results in Table 6 of the paper. The aim is to evaluate the causal effect of a treatment (university gym visits) on an outcome (self-assessed health of students) in the presence of both treatment endogeneity and attrition/non-response bias, based on two distinct instrumental variables for the treatment (randomized cash incentive to visit the gym) and response (cash lottery for participating in the follow-up survey)' . 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" : ["Local average treatment effect, attrition, endogeneity, weighting, instrument, experiment"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Replication data for Hans Fricke, Markus Frölich, Martin Huber, and Michael Lechner (2020): 'Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments', Journal of Applied Econometrics, forthcoming.  'expdata.RData' contains the data in R format. 'attrition late public use code.R' contains the R code for replicating the empirical results in Table 6 of the paper. The aim is to evaluate the causal effect of a treatment (university gym visits) on an outcome (self-assessed health of students) in the presence of both treatment endogeneity and attrition/non-response bias, based on two distinct instrumental variables for the treatment (randomized cash incentive to visit the gym) and response (cash lottery for participating in the follow-up survey)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Replication data for Hans Fricke, Markus Frölich, Martin Huber, and Michael Lechner (2020): 'Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments', Journal of Applied Econometrics, forthcoming.  'expdata.RData' contains the data in R format. 'attrition late public use code.R' contains the R code for replicating the empirical results in Table 6 of the paper. The aim is to evaluate the causal effect of a treatment (university gym visits) on an outcome (self-assessed health of students) in the presence of both treatment endogeneity and attrition/non-response bias, based on two distinct instrumental variables for the treatment (randomized cash incentive to visit the gym) and response (cash lottery for participating in the follow-up survey)
Local average treatment effect, attrition, endogeneity, weighting, instrument, experiment