print.PanelBalance

This function prints out covariate balance information for all of the PanelMatch configurations specified within a PanelBalance object. Specifically it prints out the name of the PanelMatch object(s), and covariate balance measures over the specified time period after refinement. If no refinement was applied, then these unrefined results will be shown.

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

print.PanelBalance function

<dl><dt>x</dt>
<dd><code>PanelBalance</code> object</dd>
<dt>...</dt>
<dd>Not used</dd></dl>

Arguments

Print basic information about PanelBalance objects — print.PanelBalance

<dl>

<dt>x</dt>
<dd><code>PanelBalance</code> object</dd>


<dt>...</dt>
<dd>Not used</dd>

</dl>

print.PanelBalance: Print basic information about PanelBalance objects

Description

Usage

Value

Arguments

Examples