get_lagYi

A function that calculates lagged outcomes in a panel data setting.
 If the data.frame that is passed in has nxT rows, the resulting vector will
 also have nxT elements with one element for each unit set to be NA

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.  Additional utilities support staggered treatment adoption settings, including functions for identifying treatment groups, recovering pre-treatment outcomes and covariate averages, and computing lagged outcomes and first differences in panel data.

Brantly Callaway

BMisc

Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results

get_lagYi function

<dl><dt>df</dt>
<dd>the data.frame used in the function</dd>
<dt>idname</dt>
<dd>name of column that holds the unit id</dd>
<dt>yname</dt>
<dd>name of column containing the outcome (or other variable)
for which to calculate its outcome in the immediate pre-treatment period</dd>
<dt>tname</dt>
<dd>name of column that holds the time period</dd>
<dt>nlags</dt>
<dd>The number of periods to lag. The default is 1, which computes
the lag from the previous period.</dd></dl>

Arguments

get_lagYi — get_lagYi

<dl>

<dt>df</dt>
<dd>the data.frame used in the function</dd>


<dt>idname</dt>
<dd>name of column that holds the unit id</dd>


<dt>yname</dt>
<dd>name of column containing the outcome (or other variable)
for which to calculate its outcome in the immediate pre-treatment period</dd>


<dt>tname</dt>
<dd>name of column that holds the time period</dd>


<dt>nlags</dt>
<dd>The number of periods to lag. The default is 1, which computes
the lag from the previous period.</dd>

</dl>

get_lagYi: get_lagYi

Description

Usage

Arguments

Examples