Takes two sets of initial estimates and bootstrap estimations (they need to have the same number of iterations) and determines whether or not the estimates are statistically different from each other. It can be used to compare any sets of estimates, but it is particularly used here to compare estimates from observational methods with observations from the experimental data (which also have standard errors because, even though the estimates are cleanly identified, they are still estimated).

1 | ```
computeDiffSE(est1, bootIters1, est2, bootIters2, alp = 0.05)
``` |

`est1` |
A QTE object containing the first set of estimates |

`bootIters1` |
A List of QTE objects that have been bootstrapped |

`est2` |
A QTE object containing a second set of estimates |

`bootIters2` |
A List of QTE objects that have been bootstrapped using the second method |

`alp` |
The significance level used for constructing bootstrap confidence intervals |

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