Description Usage Arguments Details Value See Also Examples

Generates sample data for running `auction_model`

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`obs` |
Number of observations (or auctions) to draw. |

`max_n_bids` |
Maximum number of bids per auction (must be 3 or greater). The routine generates a vector of length |

`new_x_mean` |
Mean values for observable controls to be generated from a Normal distribution. |

`new_x_sd` |
Standard deviations for observable controls to be generated from a Normal distribution. |

`mu` |
Value for mu, or mean, of private value distribution (Weibull) to be generated. |

`alpha` |
Value for alpha, or shape parameter, of private value distribution (Weibull) to be generated. |

`sigma` |
Value for standard deviation of unobserved heterogeneity distribution. Note that the distribution is assumed to have mean 1. |

`beta` |
Coefficients for the generated observable controls. Must be of the same length as |

This function generates example data for feeding into auction_model(). Specifically, the winning bid, number of bids, and observed heterogeneity are sampled for the specified number of observations.

A data frame with `obs`

rows and the following columns:

`winning_bid` |
numeric values of the winning bids for each observation |

`n_bids` |
number of bids for each observation |

`X#` |
X terms that represent observed heterogeneity |

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