maxTest_error

This function checks additonal inputs specific to the maxEquivTest function.

Testing for parallel trends is crucial in the Difference-in-Differences framework. To this end, this package performs equivalence testing in the context of Difference-in-Differences estimation. It allows users to test if pre-treatment trends in the treated group are “equivalent” to those in the control group. Here, “equivalence” means that rejection of the null hypothesis implies that a function of the pre-treatment placebo effects (maximum absolute, average or root mean squared value) does not exceed a pre-specified threshold below which trend differences are considered negligible. The package is based on the theory developed in Dette & Schumann (2024) <doi:10.1080/07350015.2024.2308121>.

Ties Bos

EquiTrends

Equivalence Testing for Pre-Trends in Difference-in-Differences
Designs

Martin Schumann

maxTest_error function

<dl><dt>type</dt>
<dd>the type of test for the maximum absolute placebo coefficient to be conducted; must be one of "IU", "Boot" or "Wild".</dd>
<dt>equiv_threshold</dt>
<dd>the equivalence threshold for the test. Must be a numeric scalar or NULL.</dd>
<dt>vcov</dt>
<dd>the variance-covariance matrix estimator. See <code>maxEquivTest</code> for more information.</dd>
<dt>B</dt>
<dd>the number of bootstrap iterations. Must be a numeric integer scalar.</dd></dl>

Arguments

Additional input checks for the maxEquivTest function — maxTest_error

<dl>

<dt>type</dt>
<dd>the type of test for the maximum absolute placebo coefficient to be conducted; must be one of "IU", "Boot" or "Wild".</dd>


<dt>equiv_threshold</dt>
<dd>the equivalence threshold for the test. Must be a numeric scalar or NULL.</dd>


<dt>vcov</dt>
<dd>the variance-covariance matrix estimator. See <code>maxEquivTest</code> for more information.</dd>


<dt>B</dt>
<dd>the number of bootstrap iterations. Must be a numeric integer scalar.</dd>

</dl>

maxTest_error: Additional input checks for the maxEquivTest function

Description

Usage

Value

Arguments