fetch_401k: Data set on financial wealth and 401(k) plan participation.

Description Usage Arguments Details Value References

View source: R/datasets.R

Description

Preprocessed data set on financial wealth and 401(k) plan participation. The raw data files are preprocessed to reproduce the examples in Chernozhukov et al. (2020). An internet connection is required to sucessfully download the data set.

Usage

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fetch_401k(
  return_type = "DoubleMLData",
  polynomial_features = FALSE,
  instrument = FALSE
)

Arguments

return_type

(character(1))
If "DoubleMLData", returns a DoubleMLData object. If "data.frame" returns a data.frame(). If "data.table" returns a data.table(). Default is "DoubleMLData".

polynomial_features

(logical(1))
If TRUE polynomial freatures are added (see replication file of Chernozhukov et al. (2018)).

instrument

(logical(1))
If TRUE, the returned data object contains the variables e401 and p401. If return_type = "DoubleMLData", the variable e401 is used as an instrument for the endogenous treatment variable p401. If FALSE, p401 is removed from the data set.

Details

Variable description, based on the supplementary material of Chernozhukov et al. (2020):

The supplementary data of the study by Chernozhukov et al. (2018) is available at https://academic.oup.com/ectj/article/21/1/C1/5056401#supplementary-data.

Value

A data object according to the choice of return_type.

References

Abadie, A. (2003), Semiparametric instrumental variable estimation of treatment response models. Journal of Econometrics, 113(2): 231-263.

Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J. (2018), Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21: C1-C68. doi: 10.1111/ectj.12097.


DoubleML documentation built on Oct. 26, 2021, 5:06 p.m.