This article applies the univariate and panel LM (Lagrange Multiplier) unit root tests developed by Lee and Strazicich (2003; 2004) and Im et al. (2005), respectively to annual total primary energy consumption per capita data for 17 Middle East countries over the period 1980–2009. The results from univariate tests with one and two structural breaks indicate that stationarity does hold for most of the Middle East countries, especially in the case of two structural breaks. Furthermore, panel LM unit root tests have overwhelming evidence favorable to stationarity in both cases. These results indicate that shocks to energy consumption have only temporary effects and thus, energy demand management or conservation policies will not reach their targets in the long-run.
AgnolucciP.BarkerT. and EkinsP., 2004. Hysteresis and energy demand: The announcement effects and the effects of the UK climate change levy. Applied Environmental Economics Conference, March, The Royal Society, UK, 1–12.
2.
AgnolucciP. and VennA., 2011. Industrial energy intensities in the UK: Is there a deterministic or stochastic difference among sectors?Applied Economics43(12), 1447–1462.
3.
Al-IrianiM.A., 2006. Energy-GDP relationship revisited: An example from GCC countries using panel causality. Energy Policy34(17), 3342–3350.
4.
AltinayG. and KaragolE., 2004. Structural break, unit root, and the causality between energy consumption and GDP in Turkey. Energy Economics26(6), 985–994.
5.
ApergisN. and PayneJ., 2010. Structural breaks and petroleum consumption in US states: Are shocks transitory or permanent?Energy Policy38(10), 6375–6378.
6.
ApergisN.LoomisD. and PayneJ.E., 2010a. Are fluctuations in coal consumption transitory or permanent? evidence from a panel of US states. Applied Energy87(7), 2424–26.
7.
ApergisN.LoomiD. and PayneJ.E., 2010b. Are shocks to natural gas consumption temporary or permanent? evidence from a panel of US states. Energy Policy38(8), 4734–4736.
8.
ApergisN. and TsoumasC., 2011. Integration properties of disaggregated solar, geothermal and biomass energy consumption in the US. Energy Policy39(9), 5474–5479.
9.
ApergisN. and TsoumasC., 2012. Long memory and disaggregated energy consumption: Evidence from fossils, coal and electricity retail in the U.S.Energy Economics34(4), 1082–1087.
10.
AslanA., 2011. Does natural gas consumption follow a nonlinear path over time? Evidence from 50 US States. Renewable and Sustainable Energy Reviews15(9), 4466–4469.
11.
AslanA. and KumH., 2011. The stationary of energy consumption for Turkish disaggregate data by employing linear and nonlinear unit root tests. Energy36(7), 4256–4258.
12.
BallL., 1993. The dynamics of high inflation. National Bureau of Economic Research Working Paper No. 4578.
13.
BarrosC.P.Gil-AlanaL.A. and PayneJ., 2011. An analysis of oil production by OPEC countries: Persistence, breaks and outliers. Energy Policy39(1), 442–53.
14.
BarrosC.P.Gil-AlanaL.A. and PayneJ., 2012. Evidence of long memory behaviour in US renewable energy consumption. Energy Policy41, 822–826
15.
CanerM. and HansenB.E., 2001. Threshold Autoregression with a Unit Root. Econometrica69(6), 1555–1596.
16.
Carrion-I-SilvestreJ. L.Del Barrio-CastroT. and Lopez-BazoE., 2005. Breaking the panels: An application to GDP per capita. The Econometrics Journal8(2), 59–175.
17.
CaruthA.A.HookerM.A. and OswaldA.J., 1998. Unemployment equilibria and input prices: Theory and evidence from the United States. The Review of Economics and Statistics80(4), 621–628.
18.
ChaudhuriK. and WuY., 2003. Random walk versus breaking trend in stock prices: Evidence from emerging markets. Journal of Banking and Finance27(4), 575–592.
19.
ChenP. F. and LeeC. C., 2007. Is energy consumption per capita broken stationary? New evidence from regional-based panels. Energy Policy35(6), 3526–3540.
20.
CochraneJ.H., 1994. Permanent and transitory components of GNP and stock prices. The Quarterly Journal of Economics109(1), 241–266.
21.
CunadoJ. and de GraciaPerez F., 2003. Do oil price shocks matter? Evidence for some European countries. Energy Economics25(2), 137–154.
22.
DickeyD.A. and FullerW.A., 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association74(366a), 427–431.
23.
DickeyD.A. and FullerW.A., 1981. Distribution of the estimators for autoregressive time series with a unit root. Econometrica49(4), 1057–1072.
24.
DornbuschR., 1976. Expectation and exchange rate dynamics. Journal of Political Economy84(6), 1161–1176.
25.
Gil-AlanaL. A.LoomisD. and PayneJ. E., 2010. Does energy consumption by the US electric power sector exhibit long memory behavior?Energy Policy38(11), 7512–7518.
26.
GlynnJ.PereraN. and VermaR., 2007. Unit root tests and structural breaks: A survey with applications. Journal of Quantitative Methods for Economics and Business Administration3(1), 63–79.
27.
HamiltonJ.D., 1996. This is what happened to the oil–macroeconomy relationship. Journal of Monetary Economics38(2), 215–220.
28.
HasanovM. and TelatarE., 2011. A re-examination of stationarity of energy consumption: Evidence from new unit root tests. Energy Policy39(12), 7726–7738.
29.
HendryD.F. and JuseliusK., 2000. Explaining cointegration analysis, part 1. The Energy Journal21(1), 1–42.
30.
HsuY.C.LeeC.C. and LeeC.C., 2008. Revisited: Are shocks to energy consumption permanent or temporary? new evidence from a panel SURADF approach. Energy Economics30(5), 2314–2330.
31.
ImK.S.PesaranM.H. and ShinY., 2003. Testing for unit roots in heterogeneous panels. Journal of Econometrics115(1), 53–74.
32.
ImK.S.LeeJ. and TieslauM., 2005. Panel LM unit root tests with level shifts. Oxford Bulletin of Economics and Statistics67(3), 393–419.
33.
KapetaniosG.ShinY. and SnellA., 2003. Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics112(2), 359–379.
34.
KruseR., 2011. A new unit root test against ESTAR based on a class of modified statistics. Statistical Papers52(1), 71–85.
35.
KulaF.AslanA. and OzturkI., 2012. Is per capita electricity consumption stationary? Time series evidence from OECD countries. Renewable and Sustainable Energy Reviews, 16(1), 501–503.
36.
LeeC.C. and ChangC.P.L., 2007. Mean reversion of inflation rates in 19 OECD countries: Evidence from panel Lm unit root tests with structural breaks. Economics Bulletin3(23), 1–15.
37.
LeanH.H. and SmythR., 2013. Are fluctuations in US production of renewable energy permanent or transitory?Applied Energy101, 483–488.
38.
LeeJ. and StrazicichM.C., 2003. Minimum LM unit root test with two structural breaks. Review of Economics and Statistics85(4), 1082–1089.
39.
LeeJ. and StrazicichM.C., 2004. Minimum LM Unit Root Test with One Structural Break. Working Paper04(17), Department of Economics, Appalachian State University.
40.
MahadevanR. and Asafu-AdjayeJ., 2007. Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries. Energy Policy. 35(4), 2481–2490.
41.
MaslyukS. and SmythR., 2009. Non-linear unit root properties of crude oil production. Energy Economics31(1), 109–118.
42.
MishraV.SharmaS. and SmythR., 2009. Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries. Energy Policy37(6), 2318–2326.
43.
NarayanP.K. and SmythR., 2007. Are shocks to energy consumption permanent or temporary? Evidence from 182 countries. Energy Policy35(1), 333–341.
44.
NarayanP.K. and SmythR., 2008. Energy consumption and real GDP in G7 countries: New evidence from panel cointegration with structural breaks. Energy Economics30(5), 2331–2341.
45.
NarayanP.K.NarayanS. and SmythR., 2008. Are oil shocks permanent or temporary? panel data evidence from crude oil and NGL production in 60 countries. Energy Economics30(3), 919–936.
46.
NarayanP.K.NarayanS. and PoppS., 2010. Energy consumption at the state level: The unit root null hypothesis from Australia. Applied Energy87(6), 1953–1962.
47.
NarayanP.K. and PoppS., 2010. A new unit root test with two structural breaks in level and slope at unknown time. Journal of Applied Statistics37(9), 1425–1438.
48.
NarayanP. K. and PoppS., 2012. The energy consumption-real GDP nexus revisited: Empirical evidence from 93 countries. Economic Modelling29(2), 303–308.
49.
NgS. and PerronP., 2001. Lag selection and the construction of unit root tests with good size and power. Econometrica69(6), 1519–1554.
50.
OzturkI. and AslanA., 2011. Are fluctuations in energy consumption per capita series transitory? Evidence from Turkey?Energy Exploration&Exploitation29(2), 161–167.
51.
PapapetrouE., 2001. Oil price shocks, stock market, economic activity and employment in Greece. Energy Economics23(5), 511–532.
52.
PerronP., 1989. The great crash, the oil price shock and the unit root hypothesis. Econometrica57(6), 1361–1401.
53.
PesaranM.H.ShinY. and SmithR., 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics16(3), 289–326.
54.
PhillipsP.C.B. and PerronP., 1988. Testing for a Unit Root in Time Series Regression. Biometrika75(2), 335–346.
55.
Romero-AvilaD. and UsabiagaC., 2007. Unit Root Tests, Persistence, and the Unemployment Rate of US States. Southern Economic Journal73, 698–716.
56.
SardoskyP., 1999. Oil price shocks and stock market activity. Energy Economics21(5), 449–469.
57.
SchmidtP. and PhillipsP.C.B., 1992. LM tests for a unit root in the presence of deterministic trends. Oxford Bulletin of Economics and Statistics54(3), 257–287.
58.
SenA., 2003. On unit-root tests when the alternative is a trend-break stationary process. Journal of Business & Economics Statistics21(1), 174–184.
59.
SmythR., 2013. Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production. Applied Energy104, 371–378.
60.
SollisR., 2004. Asymmetric adjustment and smooth transitions: A combination of some unit root tests. Journal of Time Series Analysis25(3), 409–417.
61.
TaylorJ., 1979. Staggered wage setting in a macro model. The American Economic Review69(2), 108–113.
62.
YangH.Y., 2000. A note on the causal relationship between energy and GDP in Taiwan. Energy Economics22(1), 309–317.
