are_varying

This function is designed for use with <code>panel_data()</code> objects.

Provides an object type and associated tools for storing and
wrangling panel data. Implements several methods for creating regression
models that take advantage of the unique aspects of
panel data. Among other capabilities, automates the "within-between"
(also known as "between-within" and "hybrid") panel regression specification
that combines the desirable aspects of both fixed effects and random effects
econometric models and fits them as multilevel models
(Allison, 2009 <doi:10.4135/9781412993869.d33>;
Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be
estimated via generalized estimating equations
(GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian
estimation is (optionally) supported via 'Stan'.
Supports estimation of asymmetric effects models via first differences
(Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized
linear model extension thereof using GEE.

Jacob A. Long

panelr

Regression Models and Utilities for Repeated Measures and Panel
Data

are_varying function

<dl><dt>data</dt>
<dd>A data frame, typically of <code>panel_data()</code> class.</dd>
<dt>...</dt>
<dd>Variable names. If none are given, all variables are checked.</dd>
<dt>type</dt>
<dd>Check for variance over time or across individuals? Default
is <code>"time"</code>. <code>"individual"</code> considers variables like age to be non-varying
because everyone ages at the same speed.</dd></dl>

Arguments

Check if variables are constant or variable over time. — are_varying

<dl>

<dt>data</dt>
<dd>A data frame, typically of <code>panel_data()</code> class.</dd>


<dt>...</dt>
<dd>Variable names. If none are given, all variables are checked.</dd>


<dt>type</dt>
<dd>Check for variance over time or across individuals? Default
is <code>"time"</code>. <code>"individual"</code> considers variables like age to be non-varying
because everyone ages at the same speed.</dd>

</dl>

are_varying: Check if variables are constant or variable over time.

Description

Usage

Value

Arguments

Examples