Description Usage Arguments Details Value References

This function implements augmented inverse probability weighted (IPW) estimation of local average treatment effects (LATEs) as proposed in Tan (2006), provided the fitted instrument propensity scores and fitted values from both treatment and outcome regressions.

1 |

`y` |
An |

`tr` |
An |

`iv` |
An |

`mfp` |
An |

`mft` |
An |

`mfo` |
An |

`off` |
A |

The individual expectations *θ_d=E(Y(d)|D(1)>D(0))* are estimated separately for *d\in\{0,1\}* using inverse probability weighting ("ipw"), treatment and outcome regressions ("or") and augmented IPW methods as proposed in Tan (2006). The population LATE is defined as *θ_1-θ_0*.

`ipw` |
A |

`or` |
A |

`est` |
A |

`var` |
The estimated variances associated with the augmented IPW estimates of |

`ze` |
The z-statistics for the augmented IPW estimates of |

`late.est` |
The augmented IPW estimate of LATE. |

`late.var` |
The estimated variance associated with the augmented IPW estimate of LATE. |

`late.ze` |
The z-statistic for the augmented IPW estimate of LATE, compared to |

Tan, Z. (2006) Regression and weighting methods for causal inference using instrumental variables, Journal of the American Statistical Association, 101, 1607<e2><80><93>1618.

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