M.J., Presno and M., Landajo and P., Fernandez Gonzalez (2017): The Shocks To Crude Oil Production. Nonparametric Stationarity Analysis For 20 OPEC And Non-OPEC Countries.
Preview |
PDF
MPRA_paper_81594.pdf Download (1MB) | Preview |
Abstract
The stochastic properties of crude oil production have been examined in the literature from different perspectives, with partly non-coincident conclusions depending on model specification. In this paper the nature of the shocks affecting crude oil production is analyzed for a panel of 20 OPEC and non-OPEC countries with reference to the period from January 1973 to December 2015. We rely on a novel nonparametric panel stationarity testing approach which offers the advantage of not requiring model specification of the trend functions for the series in the panel. Our analysis detects strong evidence of non-stationarity, both globally and group-wise for the OPEC and non-OPEC countries. A case-by-case study reveals that stationarity is rejected for 8 out of the countries under study (namely, Algeria, Canada, China, Iran, Mexico, Nigeria, Qatar, and the US) for which shocks would thus have permanent effects, with stationarity being relatively more frequent among OPEC members.
Item Type: | MPRA Paper |
---|---|
Original Title: | The Shocks To Crude Oil Production. Nonparametric Stationarity Analysis For 20 OPEC And Non-OPEC Countries |
English Title: | The Shocks To Crude Oil Production. Nonparametric Stationarity Analysis For 20 OPEC And Non-OPEC Countries |
Language: | English |
Keywords: | Crude oil production, shocks, stationarity testing, nonparametric analysis, panel. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q35 - Hydrocarbon Resources Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q47 - Energy Forecasting |
Item ID: | 81594 |
Depositing User: | María José Presno |
Date Deposited: | 28 Sep 2017 14:27 |
Last Modified: | 27 Sep 2019 08:41 |
References: | Altinay, G., Karagol, E., 2004. Structural break, unit root, and the causality between energy consumption and GDP in Turkey. Energy Economics 26, 985-994. Apergis, N., Payne, J.E., 2010. Structural breaks and petroleum consumption in US states: are shocks transitory or permanent?. Energy Policy 38, 6375-6378. Apergis, N., Tsoumas, C., 2012. Long memory and disaggregated energy consumption: evidence from fossil fuels, coal and electricity retail in the U.S. Energy Economics 34, 1082-1087. Barros, C.P., Gil-Alana, L.A., Payne, J., 2011. An analysis of oil production by OPEC countries: persistence, breaks and outliers. Energy Policy 39, 442-453. Camarero, M., Mendoza, Y., Ordóñez, J., 2011. Re-examining CO2 emissions. Is the assessment of convergence meaningless?. Working Paper 2011/06, Universitat Jaume I. Caner, M., Hansen, B.E., 2001. Threshold autoregression with a unit root. Econometrica 69, 1555-1596. Carrion-i-Silvestre, J.Ll., del Barrio, T., López-Bazo, E., 2005. Breaking the Panels: An Application to GDP per capita. Econometrics Journal 8, 159-175. Chen, H., Chen, S., 2007. Oil prices and real exchange rates. Energy Economics 29, 390-404. Chen, P.F., Lee, C.C., 2007. Is energy consumption per capita broken stationary? new evidence from regional-based panels. Energy Policy 35, 3526-3540. Energy Information Administration. Fernández González, P., 2015. Exploring energy efficiency in several European countries. An attribution analysis of the Divisia structural change index. Applied Energy 137, 364-374. Gately, D., 1986. Lessons from the 1986 oil price collapse, in: Brainard, W.C., Perry, G.L. (Eds.), Brookings Papers in Economic Activity, Washington D.C., pp. 237-284. Hamilton, J.D., 1983. Oil and the Macroeconomy since World War II., Journal of Political Economy 91, 228-248. Hamilton, J.D., 2003. What is an oil shock?. Journal of Econometrics 113, 363-398. Hamilton, J.D., 2013. Historical Oil Shocks, in: Parker, R.E., Whaples, R. (Eds.), Routledge Handbook of Major Events in Economic History. Routledge Taylor and Francis Group, New York, pp. 239-265. Hendry, D.F., Juselius, K., 2000. Explaining cointegration analysis: part I. The Energy Journal 21, 1-42. Hooker, M.A., 1996. What happened to the oil price macroeconomy relationship?. Journal of Monetary Economics 38, 195-213. Hsu, Y.C., Lee, C.C., Lee, CC., 2008. Revisited: are shocks to energy consumption permanent or temporary? New evidence from a panel SURADF approach. Energy Economics 30, 2314-2330. Hubbert, M.K., 1956. Nuclear energy and the fossil fuels. Meeting of the Southern District. Division of Production. American Petroleum Institute. Shell Development Company. San Antonio, Texas. Iledare, O.O., Olatubi, W.O., 2006. Economic Effects of Petroleum Prices and Production in the Gulf of Mexico OCS on the U.S. Gulf Coast Economy. U.S. Dept. of the Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA. OCS Study MMS 2006-063. Kaufmann, R.K., Cleveland, C.J., 2001. Oil production in the lower 48 States: economic, geological, and institutional determinants. The Energy Journal 22, 27–49. Kilian, L., 2005. Exogenous oil supply shocks: how big are they and how much do they matter for the U.S. economy?. C.E.P.R. Discussion Paper, vol. 5131. Kilian, L., 2009. Not all oil price shocks are alike: disentangling demand and supply shocks in the crude oil market. American Economic Review 99, 1053-1069. Landajo, M., Presno, M.J., 2010. Stationarity testing under nonlinear models. Some asymptotic results. Journal of Time Series Analysis 31, 392–405. Landajo, M., Presno, M.J., 2013. Nonparametric pseudo-Lagrange multiplier stationarity testing. Annals of the Institute of Statistical Mathematics 65, 125-147. Lardic, S., Mignon, V., 2008. Oil Prices and Economic Activity: An asymmetric cointegration approach. Energy Economics 30, 847–855. Lean, H.H., Smyth, R., 2009. Long memory in US disaggregated petroleum consumption: evidence from univariate and multivariate LM tests for fractional integration. Energy Policy 37, 3205-3211. Lean, H.H., Smyth, R., 2013. Are fluctuations in US production of renewable energy permanent or transitory?. Applied Energy 101, 483-488. Lee, C.C., Chang, C.P., 2007. Energy consumption and GDP revisited: a panel analysis of developed and developing countries. Energy Economics 29, 1206–1233. Maslyuk, S., Smyth, R., 2009. Non-linear unit root properties of crude oil production. Energy Economics 31, 109-118. Miller, R.G., Sorrell, S.R., 2014. The future of oil supply. Philosophical Transactions of the Royal Society A.Mathematical Physical and Engineering Sciences 372, 1-27. Mishra, V., Sharma, S., Smyth, R., 2009. Are fluctuations in energy consumption per capita transitory? Evidence from a panel of Pacific Island countries. Energy Policy 37, 2318-2326. Narayan, P.K., Smyth, R., 2007. Are shocks to energy consumption permanent or temporary? Evidence from 182 countries. Energy Policy 35, 333-341. Narayan, P.K., Narayan, S., Smyth, R., 2008. Are oil shocks permanent or temporary? Panel data evidence from crude oil and NGL production in 60 countries. Energy Economics 30, 919-936. Nashawi, I.S, Malallah, A., Al-Bisharah, M., 2010. Forecasting world crude oil production using multicyclic Hubbert Model. Energy Fuels 24, 1788–1800. Panagiotidis, T., Rutledge, E., 2007. Oil and gas markets in the UK: evidence from a cointegrating approach. Energy Economics 29, 329-347. Pötscher, B.M., Prucha, I.R., 1991. Basic structure of the asymptotic theory in dynamic nonlinear econometric models. Part II: Asymptotic normality. Econometric Reviews 10, 253-325. Presno, M.J., Landajo, M., Fernández González, P., 2014. Non-renewable resource prices: A robust evaluation from the stationarity perspective. Resource and Energy Economics 36, 394-416. Presno, M.J., Landajo, M., Fernández González, P., 2015. Stochastic convergence in per capita CO2 emissions. An approach from nonlinear stationarity analysis. Energy Economics, doi.org/10.1016/j.eneco.2015.10.001. Ratti, R.A., Vespignani, J.L., 2015. OPEC and non-OPEC oil production and the global economy. Energy Economics 50, 364-378. Regnier, E., 2007. Oil and energy price volatility. Energy Economics 29, 405-427. Robelius, F., 2007. Giant oil fields -The highway to oil. The giant oil fields and their importance for future oil production. Uppsala Dissertations from the Faculty of Science and Technology. Uppsala, Sweden. Rogoff, K., 2006. Oil and the global economy. Mimeo, Harvard University. Smith, J.L., 2009. World Oil: Market or Mayhem?. Journal of Economic Perspectives 23, 145-164. Smyth, R., 2013. Are fluctuations in energy variables permanent or transitory? A survey of the literature on the integration properties of energy consumption and production. Applied Energy 104, 371-378. Sorrell, S., Speirs, J., Bentley, R., Brandt, A., Miller, R., 2009. Global Oil Depletion: An assessment of the evidence for a near-term peak in global oil production. UK Energy Research Centre. World Energy Outlook, 2013. International Energy Agency. Yang, H.Y., 2000. A note on the causal relationship between energy and GDP in Taiwan. Energy Economics 22, 309-317. Yavuz, N., Yilanci, V., 2013. Convergence in per capita carbon dioxide emissions among G7 countries: a TAR panel unit root approach. Environmental and Resource Economics 54, 283-291. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/81594 |