Description Usage Arguments Value References Examples

View source: R/simulation_dgp.R

Simulates observations from the data-generating process considered in Lee and Weidner (2021)

1 | ```
simulation_dgp(n, ps_spec = "overlap", x_discrete = FALSE)
``` |

`n` |
sample size |

`ps_spec` |
specification of the propensity score: "overlap" or "non-overlap" (default: "overlap") |

`x_discrete` |
TRUE if the distribution of the covariate is uniform on -3.0, -2.9, ..., 3.0 and FALSE if the distribution of the covariate is uniform on [–3,3] (default: FALSE) |

An S3 object of type "ATbounds". The object has the following elements.

`outcome` |
n observations of binary outcomes |

`treat` |
n observations of binary treatments |

`covariate` |
n observations of a scalar covariate |

`ate_oracle` |
the sample analog of E[Y(1) - Y(0)] |

`att_oracle` |
the sample analog of E[DY(1) - Y(0)|D=1] |

Sokbae Lee and Martin Weidner. Bounding Treatment Effects by Pooling Limited Information across Observations.

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