Simulated data used in the paper "Causal inference with a continuous treatment and outcome: alternative estimators for parametric dose-response models".

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A data frame with 1000 rows and 20 variables:

A dataset containing sim_data.

`(A.1, A.2, A.3, A.4, A.5, A.6, A.7, A.8)`

are the true measured covariates.

`(B.1, B.2, B.3, B.4, B.5, B.6, B.7, B.8)`

are the transformed covariates.

`T` |
treatment |

`Theta.1` |
unit level intercept |

`Theta.2` |
unit level slope |

`Y` |
outcome |

use the `draw_sample`

function

Schafer, J.L., Galagate, D.L. (2015). Causal inference with a
continuous treatment and outcome: alternative estimators for parametric
dose-response models. *Manuscript in preparation*.

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