Description Usage Arguments Value

Estimation Function

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`dv` |
Dependent variable specified as character. |

`treat` |
Treatment vector of variables specified as character vector. |

`covs` |
Character vector of covariates specified as character vector. |

`heterogenous` |
Character vector of covariates to interact with treatments specified as character vector. |

`FE` |
Character vector of fixed effects covariates specified as character vector. |

`IPW` |
Inverse probability weights specified as character vector. |

`IV_list` |
Character string. Should be a character string which presents valid IV formula as specified in |

`cluster` |
Covariate for clustered robust standard errors as defined by |

`robust` |
Logical. Whether to report heteroskedastic robust standard errors. Implemented only for linear models for now. |

`data` |
Data frame which contains all the relevant variables. |

`subset` |
character string specifing logical expression for subsetting. |

`estimator` |
Function that takes all arguments above, |

`estimator_name` |
Character string giving name of the estimator used |

`treat_only` |
Logical vector of length 1, specifying whether only |

`status` |
Logical vector of length 3, specifying whether the model was pre-(R)egistered, run in (S)cript and reported in (P)aper respectively. |

`stars` |
Logical. If |

`round_digits` |
Integer. How many decimal points to round to in the output. |

`return_df` |
If |

`...` |
Other parameters used in estimate function |

List of three objects. `estimates`

is estimates from the model and corresponding standard errors. `stat`

is vector of adjusted R squared and number of observations. `model_spec`

is logical vector of characteristics of the model.

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