has.intercept

has.intercept.default

has.intercept.formula

has.intercept.Formula

has.intercept.panelmodel

has.intercept.plm

The presence of an intercept is checked using the formula which is
either provided as the argument of the function or extracted from
a fitted model.

A set of estimators for models and (robust) covariance matrices, and tests for panel data
econometrics, including within/fixed effects, random effects, between, first-difference,
nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models,
panel generalized method of moments (GMM) and general FGLS models,
mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators
with common factors, variable coefficients and limited dependent variables models.
Test functions include model specification, serial correlation, cross-sectional dependence,
panel unit root and panel Granger (non-)causality. Typical references are general econometrics
text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>),
Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018),
Panel Data Econometrics with R (<doi:10.1002/9781119504641>).

Kevin Tappe

Linear Models for Panel Data

Yves Croissant

Giovanni Millo

Ott Toomet

Christian Kleiber

Achim Zeileis

Arne Henningsen

Liviu Andronic

Nina Schoenfelder

has.intercept function

<dl><dt>object</dt>
<dd>a <code>formula</code>, a <code>Formula</code> or a fitted model (of class
<code>plm</code> or <code>panelmodel</code>),</dd>
<dt>...</dt>
<dd>further arguments.</dd>
<dt>data</dt>
<dd>default is <code>NULL</code> and only needs to be changes to a data set if
the formula contains a dot (<code>.</code>) to allow evaluation of the dot,</dd>
<dt>rhs</dt>
<dd>an integer (length &gt; 1 is possible), indicating the parts of right
hand sides of the formula to be evaluated for the presence of an
intercept or <code>NULL</code> for all parts of the right hand side
(relevant for the <code>Formula</code> and the <code>plm</code> methods),</dd></dl>

Arguments

Check for the presence of an intercept in a formula or in a fitted
model — has.intercept

<dl>

<dt>object</dt>
<dd>a <code>formula</code>, a <code>Formula</code> or a fitted model (of class
<code>plm</code> or <code>panelmodel</code>),</dd>


<dt>...</dt>
<dd>further arguments.</dd>


<dt>data</dt>
<dd>default is <code>NULL</code> and only needs to be changes to a data set if
the formula contains a dot (<code>.</code>) to allow evaluation of the dot,</dd>


<dt>rhs</dt>
<dd>an integer (length &gt; 1 is possible), indicating the parts of right
hand sides of the formula to be evaluated for the presence of an
intercept or <code>NULL</code> for all parts of the right hand side
(relevant for the <code>Formula</code> and the <code>plm</code> methods),</dd>

</dl>

Check for the presence of an intercept in a formula or in a fitted
model

has.intercept: Check for the presence of an intercept in a formula or in a fitted model

Description

Usage

Value

Arguments