fuel_price

Time series data on fuel pump price, oil price and exchange rate

datasets

Estimate the linear and nonlinear autoregressive distributed lag (ARDL & NARDL) models and the corresponding error correction models, and test for longrun and short-run asymmetric. The general-to-specific approach is also available in estimating the ARDL and NARDL models. The Pesaran, Shin & Smith (2001) (<doi:10.1002/jae.616>) bounds test for level relationships is also provided. The 'ardl.nardl' package also performs short-run and longrun symmetric restrictions available at Shin et al. (2014) <doi:10.1007/978-1-4899-8008-3_9> and their corresponding tests.

Eric I. Otoakhia

ardl.nardl

Linear and Nonlinear Autoregressive Distributed Lag Models:
General-to-Specific Approach

fuel_price function

A data frame with 255 observations on the following variables.<dl>
 <dt><code>fpp</code></dt>
<dd>log of Fuel Pump Price Per Litre - Average (PMS)</dd> <dt><code>wti</code></dt>
<dd>log of West Texas Intemediate</dd> <dt><code>bdc</code></dt>
<dd>log of Bureau De-change exchange rate (N/$)</dd> <dt><code>date</code></dt>
<dd>time series from 2000M01 through 2021M03</dd> 
</dl>

Format

Time series data from 2000M01 through 2021M03 — fuel_price

A data frame with 255 observations on the following variables.<dl>
 <dt><code>fpp</code></dt>
<dd>log of Fuel Pump Price Per Litre - Average (PMS)</dd>

 <dt><code>wti</code></dt>
<dd>log of West Texas Intemediate</dd>

 <dt><code>bdc</code></dt>
<dd>log of Bureau De-change exchange rate (N/$)</dd>

 <dt><code>date</code></dt>
<dd>time series from 2000M01 through 2021M03</dd>

 
</dl>

fuel_price: Time series data from 2000M01 through 2021M03

Description

Usage

Arguments

Format

Examples