depa

internal

Provides comprehensive methods for testing, estimating, and conducting uniform inference on quantile treatment effects (QTEs) in sharp regression discontinuity (RD) designs, incorporating covariates and implementing robust bias correction methods of Qu, Yoon, Perron (2024) <doi:10.1162/rest_a_01168>.

Jungmo Yoon

QTE.RD

Quantile Treatment Effects under the Regression Discontinuity
Design

Zhongjun Qu

depa function

<dl><dt>xx</dt>
<dd>the evaluation points.</dd>
<dt>loc</dt>
<dd>the location parameter (normalized to be 0).</dd>
<dt>scale</dt>
<dd>the scale parameter (normalized to be 1).</dd></dl>

Arguments

Epanechnikov kernel — depa

<dl>

<dt>xx</dt>
<dd>the evaluation points.</dd>


<dt>loc</dt>
<dd>the location parameter (normalized to be 0).</dd>


<dt>scale</dt>
<dd>the scale parameter (normalized to be 1).</dd>

</dl>

depa: Epanechnikov kernel

Description

Usage

Value

Arguments

Examples