EU_emissions_road

datasets

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

EU_emissions_road function

A data frame with 1550 rows and 13 variables:<dl>
<dt>X</dt>
<dd>Index</dd><dt>country</dt>
<dd>Country</dd><dt>year</dt>
<dd>Year</dd><dt>gdp</dt>
<dd>Gross Domestic Product</dd><dt>pop</dt>
<dd>Population</dd><dt>transport.emissions</dt>
<dd>Transport CO2 Emissions</dd><dt>lgdp</dt>
<dd>Log GDP</dd><dt>lpop</dt>
<dd>Log Population</dd><dt>ltransport.emissions</dt>
<dd>Log Transport CO2 Emissions</dd><dt>const</dt>
<dd>Constant</dd><dt>L1.ltransport.emissions</dt>
<dd>Lag 1 Log Transport CO2 Emissions</dd><dt>L1.lgdp</dt>
<dd>Lag 1 Log GDP</dd><dt>L1.lpop</dt>
<dd>Lag 1 Log Population</dd>
</dl>

Format

CO2 Data for EU Road Emissions — EU_emissions_road

A data frame with 1550 rows and 13 variables:<dl>
<dt>X</dt>
<dd>Index</dd>

<dt>country</dt>
<dd>Country</dd>

<dt>year</dt>
<dd>Year</dd>

<dt>gdp</dt>
<dd>Gross Domestic Product</dd>

<dt>pop</dt>
<dd>Population</dd>

<dt>transport.emissions</dt>
<dd>Transport CO2 Emissions</dd>

<dt>lgdp</dt>
<dd>Log GDP</dd>

<dt>lpop</dt>
<dd>Log Population</dd>

<dt>ltransport.emissions</dt>
<dd>Log Transport CO2 Emissions</dd>

<dt>const</dt>
<dd>Constant</dd>

<dt>L1.ltransport.emissions</dt>
<dd>Lag 1 Log Transport CO2 Emissions</dd>

<dt>L1.lgdp</dt>
<dd>Lag 1 Log GDP</dd>

<dt>L1.lpop</dt>
<dd>Lag 1 Log Population</dd>


</dl>

EU_emissions_road: CO2 Data for EU Road Emissions

Description

Usage

Arguments

Format