Within_plm

Use the within transformation from the plm package

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

Within_plm function

<dl><dt>df</dt>
<dd>A data.frame object</dd>
<dt>effect</dt>
<dd>The fixed effect specification. Values possible: "twoways" (default), "individual", "time", "nested"</dd></dl>

Arguments

Use the within transformation from the plm package — Within_plm

<dl>

<dt>df</dt>
<dd>A data.frame object</dd>


<dt>effect</dt>
<dd>The fixed effect specification. Values possible: "twoways" (default), "individual", "time", "nested"</dd>

</dl>

Within_plm: Use the within transformation from the plm package

Description

Usage

Value

Arguments