print.xtcsdq

Pre-testing and diagnostic tools for panel data analysis.
Researchers should run these tests before any panel regression to
verify modelling assumptions. The package implements: (1) the Hsiao
(2014, <ISBN:978-1-107-65763-2>) homogeneity F-tests (F1/F2/F3),
Swamy (1970) <doi:10.2307/1913012> parameter heterogeneity test, and
Pesaran (2004) <doi:10.2139/ssrn.572504> cross-sectional dependence
test via xtpretest(); (2) missing-data detection, mechanism testing,
and imputation for unbalanced panels via xtmispanel(); (3)
quantile-regression cross-sectional dependence tests (T_tau and
T-tilde_tau statistics) of Demetrescu, Hosseinkouchack and Rodrigues
(2023) <doi:10.1016/j.jeconom.2022.09.001> via xtcsdq(); and (4) the
panel quantile-regression slope homogeneity S-hat and D-hat
statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017)
<doi:10.1080/07350015.2015.1054493> via xtqsh(). Together these
tests address three fundamental pre-testing questions: (i) are
slopes homogeneous? (ii) is there cross-sectional dependence? and
(iii) is the panel balanced and is missingness ignorable?

Muhammad Alkhalaf

paneltests

Panel Data Pre-Testing and Diagnostic Suite

Muhammad Abdullah Alkhalaf

print.xtcsdq function

<dl><dt>x</dt>
<dd>An object of class <code>"xtcsdq"</code>.</dd>
<dt>...</dt>
<dd>Additional arguments (ignored).</dd></dl>

Arguments

Print method for xtcsdq objects — print.xtcsdq

<dl>

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


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

</dl>

print.xtcsdq: Print method for xtcsdq objects

Description

Usage

Value

Arguments