france.data

Data on GDP are from World Bank World Development Indicators. Data
on energy consumption are from the PB Statistical Review of World
Energy (June 2018).

datasets

While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).

Soren Jordan

dynamac

Dynamic Simulation and Testing for Single-Equation ARDL Models

Andrew Q. Philips

france.data function

A data frame with 53 rows and 4 variables:<dl>
 <dt>country</dt>
<dd>Country</dd> <dt>year</dt>
<dd>Year</dd> <dt>lnGDP_cons2010USD</dt>
<dd>ln(GDP), constant 2010 US dollars</dd> <dt>lnenergy</dt>
<dd>ln(energy consumption), millions tons oil equivalent</dd>
</dl>

Format

Data on French Energy Consumption and GDP — france.data

A data frame with 53 rows and 4 variables:<dl>
 <dt>country</dt>
<dd>Country</dd>

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

 <dt>lnGDP_cons2010USD</dt>
<dd>ln(GDP), constant 2010 US dollars</dd>

 <dt>lnenergy</dt>
<dd>ln(energy consumption), millions tons oil equivalent</dd>


</dl>

france.data: Data on French Energy Consumption and GDP

Description

Usage

Arguments

Format