Does natural gas consumption follow a nonlinear path over time? Evidence from 50 US States

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Abstract

This study is the first attempt to investigate the stationarity of natural gas consumption for 50 US states by employing nonlinear unit root test over the period 1960–2008. We concluded that natural gas consumption in approximately over 60% of states follow a nonlinear behavior. While for 27 US states, natural gas consumption is a non-stationary process, then any shock to natural gas consumption is likely to be permanent and such policies will have a permanent impact, for the rest of 23 states natural gas consumption is a stationary process that any shock to natural gas consumption is to be transitory.

Introduction

It is crucial to understand the stationary properties of energy consumption because if energy consumption follows a stationary process, energy demand management policies designed to shrink energy consumption will have temporary effects as energy consumption will return to its trend path. However, if energy consumption is a non-stationary, then any shock to energy consumption is possible to be permanent and such policies will have a permanent impact. In addition, if energy consumption does not contain a unit root, then the past behavior of energy consumption will be of use in formulating forecasts.

These cases make the issue of the stationary properties of energy consumption vitally important to understand. Therefore, there have been a number of studies examining the unit root properties of energy consumption in the literature such as Chen and Lee [1], Narayan and Smyth [2], Hsu et al. [3] and Mishra et al. [4], Lean and Smyth [5], and Narayan et al. [6], Apergis et al. [12], [13] and Apergis and Payne [7]. However, these previous studies that focus exclusively on whether or not energy consumption is stationary have yielded mixed results. In this study, we examine the stationarity of natural gas consumption for each of the 50 states. This short communication will employ [8] unit root test, which is an improved version of the Kapetanios et al. [14] test to decide which series are stationary. Prior to the Kruse [8] test, the adequacy of the nonlinear behavior under the alternative hypothesis is confirmed by testing the hypothesis of linearity vs. nonlinearity by means of the Harvey et al. [9] test. This study is the first attempt to investigate the stationarity of natural gas consumption for 50 US states by non linear test. While Apergis et al. [13] examined the stationarity of natural gas consumption for 50 US states by linear unit root test; we concluded that the hypothesis of linearity is rejected in 31 cases in 50 states. Since if energy consumption follow a nonlinear path over time, traditional (linear unit root tests) may suffer from power problems, i.e. they tend to over accept the null hypothesis, we employed non linear unit root test for the cases which show nonlinear behavior.

The rest of the paper is organized as follows. In Section 2, we provide the data, methodology and results. In Section 3, we provide some concluding comments.

Section snippets

Data, methodology and results

U.S. data for each of the 50 states on natural gas consumption was obtained from the Energy Information Administration. Natural gas consumption is defined in billion of cubic feet for 1960–2008. All data have been converted to natural logarithms. Kapetanios et al. [14] propose a unit root test against the alternative of globally stationary exponential smooth transition autoregression (ESTAR).yt=βyt1+ϕyt1F(Θ;yt1)+εtWhere ɛt is iid (0, σ2) and F ; yt−1) is the transition function, which is

Concluding remarks

There has been a growing interest in applying unit root tests to examine the stationarity properties of energy consumption. Interest in whether energy consumption is stationary is motivated by a number of factors. First, if energy consumption follows a stationary process, energy demand management policies designed to shrink energy consumption will have temporary effects as energy consumption will return to its trend path. However, if energy consumption is a non-stationary, then any shock to

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