multiplier_bootstrap

A function that takes in an influence function (an
nxk matrix) and the number of bootstrap iterations and
returns a Bxk matrix of bootstrap results. This function
uses Rademechar weights.

These are miscellaneous functions for working with panel data, quantiles, and printing results.  For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance.  For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions.  Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas.

Brantly Callaway

BMisc

Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results

multiplier_bootstrap function

<dl><dt>inf_func</dt>
<dd>nxk matrix of (e.g., these could be a matrix
containing the influence function for different parameter
estimates)</dd>
<dt>biters</dt>
<dd>the number of bootstrap iterations</dd></dl>

Arguments

multiplier_bootstrap — multiplier_bootstrap

<dl>

<dt>inf_func</dt>
<dd>nxk matrix of (e.g., these could be a matrix
containing the influence function for different parameter
estimates)</dd>


<dt>biters</dt>
<dd>the number of bootstrap iterations</dd>

</dl>

multiplier_bootstrap: multiplier_bootstrap

Description

Usage

Value

Arguments