findBinaryTreated

<code>findBinaryTreated</code> is used to identify t,id pairs of units for which a matched set might exist.
More precisely, it finds units for which at time t, the specified treatment has been applied, but at time t - 1, the treatment has not.

internal

Implements a set of methodological tools
that enable researchers to apply matching methods to
time-series cross-sectional data. Imai, Kim, and Wang
(2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf>
proposes a nonparametric generalization of the
difference-in-differences estimator, which does not rely
on the linearity assumption as often done in
practice. Researchers first select a method of matching
each treated observation for a given unit in a
particular time period with control observations from
other units in the same time period that have a similar
treatment and covariate history. These methods include
standard matching methods based on propensity score and
Mahalanobis distance, as well as weighting methods. Once
matching and refinement is done,
treatment effects can be estimated with
standard errors. The package also offers diagnostics for researchers to assess the quality
of their results.

In Kim

PanelMatch

Matching Methods for Causal Inference with Time-Series
Cross-Sectional Data

In Song Kim

Adam Rauh

Erik Wang

Kosuke Imai

findBinaryTreated function

<dl><dt>dmat</dt>
<dd>Data frame or matrix containing data used to identify potential treated units. Must be specified in such a way that a combination of time and id variables will correspond to a unique row. Must also contain at least a binary treatment variable column as well.</dd>
<dt>treatedvar</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that provides information about the binary treatment variable</dd>
<dt>time.var</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that contains data about the time variable. This data must be integer that increases by one.</dd>
<dt>unit.var</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that contains data about the variable used as a unit id. This data must be integer</dd>
<dt>hasbeensorted</dt>
<dd>variable that only has internal usage for optimization purposes. There should be no need for a user to toggle this</dd></dl>

Arguments

findBinaryTreated — findBinaryTreated

<dl>

<dt>dmat</dt>
<dd>Data frame or matrix containing data used to identify potential treated units. Must be specified in such a way that a combination of time and id variables will correspond to a unique row. Must also contain at least a binary treatment variable column as well.</dd>


<dt>treatedvar</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that provides information about the binary treatment variable</dd>


<dt>time.var</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that contains data about the time variable. This data must be integer that increases by one.</dd>


<dt>unit.var</dt>
<dd>Character string that identifies the name of the column in <code>dmat</code> that contains data about the variable used as a unit id. This data must be integer</dd>


<dt>hasbeensorted</dt>
<dd>variable that only has internal usage for optimization purposes. There should be no need for a user to toggle this</dd>

</dl>

findBinaryTreated: findBinaryTreated

Description

Usage

Value

Arguments