enforce_lead_restrictions

enforce_lead_restrictions
check treatment and control units for treatment reversion in the lead window. Treated units must stay treated and control units must stay in control (according to the specified qoi)

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

enforce_lead_restrictions function

<dl><dt>matched_sets</dt>
<dd>matched.set object</dd>
<dt>ordered.data</dt>
<dd>parsed data as data.frame object</dd>
<dt>max.lead</dt>
<dd>The largest lead value (e.g. the biggest F)</dd>
<dt>t.var</dt>
<dd>string specifying the time variable</dd>
<dt>id.var</dt>
<dd>string specifying the unit id variable</dd>
<dt>treatment.var</dt>
<dd>string specifying the treatment variable.</dd></dl>

Arguments

enforce_lead_restrictions
check treatment and control units for treatment reversion in the lead window. Treated units must stay treated and control units must stay in control (according to the specified qoi) — enforce_lead_restrictions

<dl>

<dt>matched_sets</dt>
<dd>matched.set object</dd>


<dt>ordered.data</dt>
<dd>parsed data as data.frame object</dd>


<dt>max.lead</dt>
<dd>The largest lead value (e.g. the biggest F)</dd>


<dt>t.var</dt>
<dd>string specifying the time variable</dd>


<dt>id.var</dt>
<dd>string specifying the unit id variable</dd>


<dt>treatment.var</dt>
<dd>string specifying the treatment variable.</dd>

</dl>

enforce_lead_restrictions
check treatment and control units for treatment reversion in the lead window. Treated units must stay treated and control units must stay in control (according to the specified qoi)

enforce_lead_restrictions: enforce_lead_restrictions check treatment and control units for treatment reversion in the lead window. Treated units must stay treated and control units must stay in control (according to the specified qoi)

Description

Usage

Value

Arguments