Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- José M. Belbute & Alfredo Marvão Pereira, 2016. "Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption," Working Papers 170, Department of Economics, College of William and Mary.
References listed on IDEAS
- Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
- Apergis, Nicholas & Tsoumas, Chris, 2012. "Long memory and disaggregated energy consumption: Evidence from fossils, coal and electricity retail in the U.S," Energy Economics, Elsevier, vol. 34(4), pages 1082-1087.
- Charfeddine, Lanouar & Guégan, Dominique, 2012.
"Breaks or long memory behavior: An empirical investigation,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5712-5726.
- Lanouar Charfeddine & Dominique Guegan, 2009. "Breaks or long memory behaviour: An empirical investigation," Documents de travail du Centre d'Economie de la Sorbonne 09022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Lanouar Charfeddine & Dominique Guegan, 2012. "Breaks or long memory behaviour : an empirical investigation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00722032, HAL.
- Lanouar Charfeddine & Dominique Guegan, 2012. "Breaks or long memory behavior: An empirical investigation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01314013, HAL.
- Lanouar Charfeddine & Dominique Guegan, 2012. "Breaks or long memory behaviour : an empirical investigation," Working Papers halshs-00722032, HAL.
- Lanouar Charfeddine & Dominique Guegan, 2009. "Breaks or Long Memory Behaviour : An empirical Investigation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00377485, HAL.
- Carlos Barros & Luis Gil-Alana & Fernando Perez de Gracia, 2016.
"Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data,"
Environmental & Resource Economics,
Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 45-56, January.
- Carlos Pestana Barros & Luis A. Gil-Alana & Fernando Perez de Gracia, 2016. "Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 45-56, January.
- Belbute, José M. & Pereira, Alfredo M., 2015.
"An alternative reference scenario for global CO2 emissions from fuel consumption: An ARFIMA approach,"
Economics Letters, Elsevier, vol. 136(C), pages 108-111.
- José Belbute & Alfredo M. Pereira, 2015. "An Alternative Reference Scenario for Global CO2Emissions from Fuel Consumption: An ARFIMA Approach," CEFAGE-UE Working Papers 2015_11, University of Evora, CEFAGE-UE (Portugal).
- José M. Belbute & Alfredo Marvão Pereira, 2015. "An Alternative Reference Scenario for Global CO2Emissions from Fuel Consumption: An ARFIMA Approach," Working Papers 164, Department of Economics, College of William and Mary.
- Gil-Alana, Luis A. & Loomis, David & Payne, James E., 2010.
"Does energy consumption by the US electric power sector exhibit long memory behavior?,"
Energy Policy, Elsevier, vol. 38(11), pages 7512-7518, November.
- Luis A. Gil-Alana & James Payne & David Loomis, 2010. "Does energy consumption by the US electric power secto exhibit long memory behaviour?," Faculty Working Papers 04/10, School of Economics and Business Administration, University of Navarra.
- John Elder & Apostolos Serletis, 2008.
"Long memory in energy futures prices,"
Review of Financial Economics, John Wiley & Sons, vol. 17(2), pages 146-155.
- Elder, John & Serletis, Apostolos, 2008. "Long memory in energy futures prices," Review of Financial Economics, Elsevier, vol. 17(2), pages 146-155.
- Diebold, Francis X. & Inoue, Atsushi, 2001.
"Long memory and regime switching,"
Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November.
- Francis X. Diebold & Atsushi Inoue, 2000. "Long Memory and Regime Switching," NBER Technical Working Papers 0264, National Bureau of Economic Research, Inc.
- Granger, Clive W. J. & Terasvirta, Timo, 1999.
"A simple nonlinear time series model with misleading linear properties,"
Economics Letters, Elsevier, vol. 62(2), pages 161-165, February.
- Granger, Clive W.J. & Teräsvirta, Timo, 1998. "A simple nonlinear time series model with misleading linear properties," SSE/EFI Working Paper Series in Economics and Finance 237, Stockholm School of Economics.
- Vasco J. Gabriel & Luis F. Martins, 2004. "On the forecasting ability of ARFIMA models when infrequent breaks occur," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 455-475, December.
- Apergis, Nicholas & Tsoumas, Chris, 2011. "Integration properties of disaggregated solar, geothermal and biomass energy consumption in the U.S," Energy Policy, Elsevier, vol. 39(9), pages 5474-5479, September.
- Perron, Pierre, 1989.
"The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis,"
Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
- Perron, P, 1988. "The Great Crash, The Oil Price Shock And The Unit Root Hypothesis," Papers 338, Princeton, Department of Economics - Econometric Research Program.
- Marco Barassi & Matthew Cole & Robert Elliott, 2011.
"The Stochastic Convergence of CO 2 Emissions: A Long Memory Approach,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(3), pages 367-385, July.
- Marco R Barassi & Matthew A Cole & Robert J R Elliott, 2010. "The Stochastic Convergence of CO2 Emissions: A Long Memory Approach," Discussion Papers 10-32, Department of Economics, University of Birmingham.
- Stephen Leybourne & Paul Newbold, 2003. "Spurious rejections by cointegration tests induced by structural breaks," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1117-1121.
More about this item
Keywords
Forecasting; Reference scenario; CO2 emissions; Long memory; ARFIMA.;JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2017-04-02 (Agricultural Economics)
- NEP-ENE-2017-04-02 (Energy Economics)
- NEP-ENV-2017-04-02 (Environmental Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cfe:wpcefa:2016_08. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Angela Pacheco). General contact details of provider: http://edirc.repec.org/data/cfevopt.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.