summary.qardl

Provides a detailed summary of QARDL estimation results including
parameter estimates, standard errors, t-statistics, p-values, and
diagnostic tests.

Implements the Quantile Autoregressive Distributed Lag (QARDL)
model of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.01.003>.
Estimates quantile-specific long-run (beta), short-run autoregressive (phi),
and impact (gamma) parameters. Features include BIC-based automatic lag
selection, Error Correction Model (ECM) parameterization, Wald tests for
parameter constancy across quantiles, rolling/recursive QARDL estimation,
Monte Carlo simulation, and publication-ready output tables.

Muhammad Alkhalaf

qardlr

Quantile Autoregressive Distributed Lag Model

Merwan Roudane

Jin Seo Cho

Tae-Hwan Kim

Yongcheol Shin

summary.qardl function

<dl><dt>object</dt>
<dd>An object of class <code>"qardl"</code>.</dd>
<dt>wald</dt>
<dd>Logical. Include Wald tests for parameter constancy.
Default is <code>TRUE</code>.</dd>
<dt>digits</dt>
<dd>Number of decimal places. Default is 4.</dd>
<dt>...</dt>
<dd>Additional arguments (unused).</dd></dl>

Arguments

Summary of QARDL Results — summary.qardl

<dl>

<dt>object</dt>
<dd>An object of class <code>"qardl"</code>.</dd>


<dt>wald</dt>
<dd>Logical. Include Wald tests for parameter constancy.
Default is <code>TRUE</code>.</dd>


<dt>digits</dt>
<dd>Number of decimal places. Default is 4.</dd>


<dt>...</dt>
<dd>Additional arguments (unused).</dd>

</dl>

summary.qardl: Summary of QARDL Results

Description

Usage

Value

Arguments