plmFun

plm Function to estimate isatpanel

Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.

Moritz Schwarz

getspanel

General-to-Specific Modelling of Panel Data

Felix Pretis

plmFun function

<dl><dt>y</dt>
<dd>Dependent Variable</dd>
<dt>x</dt>
<dd>matrix or data.frame of regressors</dd>
<dt>time</dt>
<dd>Vector of time variable</dd>
<dt>id</dt>
<dd>Vector of group variable</dd>
<dt>cluster</dt>
<dd>cluster specification</dd>
<dt>effect</dt>
<dd>effect specification</dd>
<dt>model</dt>
<dd>model specification</dd>
<dt>...</dt>
<dd>Further arguments passed to plm</dd></dl>

Arguments

plm Function to estimate isatpanel — plmFun

<dl>

<dt>y</dt>
<dd>Dependent Variable</dd>


<dt>x</dt>
<dd>matrix or data.frame of regressors</dd>


<dt>time</dt>
<dd>Vector of time variable</dd>


<dt>id</dt>
<dd>Vector of group variable</dd>


<dt>cluster</dt>
<dd>cluster specification</dd>


<dt>effect</dt>
<dd>effect specification</dd>


<dt>model</dt>
<dd>model specification</dd>


<dt>...</dt>
<dd>Further arguments passed to plm</dd>

</dl>

plmFun: plm Function to estimate isatpanel

Description

Usage

Value

Arguments