Does energy consumption play a key role? Re-evaluating the energy consumption-economic growth nexus from GDP growth rates forecasting
Author
Abstract
Suggested Citation
DOI: 10.1016/j.eneco.2023.107268
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dario Caldara & Matteo Iacoviello, 2022.
"Measuring Geopolitical Risk,"
American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
- Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
- Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
- Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003.
"Underlying trends and seasonality in UK energy demand: a sectoral analysis,"
Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
- Hunt, L.C. & Judge, G. & Ninomiya, Y., 2000. "Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis," Papers 134, Portsmouth University - Department of Economics.
- Frederic S. Mishkin, 2009.
"Is Monetary Policy Effective during Financial Crises?,"
American Economic Review, American Economic Association, vol. 99(2), pages 573-577, May.
- Frederic S. Mishkin, 2009. "Is Monetary Policy Effective During Financial Crises?," NBER Working Papers 14678, National Bureau of Economic Research, Inc.
- Alberto Martin & Jaume Ventura, 2012.
"Economic Growth with Bubbles,"
American Economic Review, American Economic Association, vol. 102(6), pages 3033-3058, October.
- Alberto Martin & Jaume Ventura, 2003. "Economic growth with bubbles," Economics Working Papers 848, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2011.
- Ventura, Jaume & MartÃn, Alberto, 2010. "Economic Growth with Bubbles," CEPR Discussion Papers 7770, C.E.P.R. Discussion Papers.
- Alberto Martin, 2010. "Economic Growth with Bubbles," 2010 Meeting Papers 788, Society for Economic Dynamics.
- Jaume Ventura & Alberto Martín, 2010. "Economic Growth with Bubbles," Working Papers 445, Barcelona School of Economics.
- Alberto Martin & Jaume Ventura, 2010. "Economic Growth with Bubbles," NBER Working Papers 15870, National Bureau of Economic Research, Inc.
- Jaume Ventura & Alberto Martín, 2003. "Economic Growth with Bubbles," Working Papers 204, Barcelona School of Economics.
- Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
- Wen, Fenghua & Cao, Jiahui & Liu, Zhen & Wang, Xiong, 2021. "Dynamic volatility spillovers and investment strategies between the Chinese stock market and commodity markets," International Review of Financial Analysis, Elsevier, vol. 76(C).
- Fatas, Antonio, 2000. "Do Business Cycles Cast Long Shadows? Short-Run Persistence and Economic Growth," Journal of Economic Growth, Springer, vol. 5(2), pages 147-162, June.
- Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020.
"Economic uncertainty before and during the COVID-19 pandemic,"
Journal of Public Economics, Elsevier, vol. 191(C).
- David E. Altig & Scott Brent Baker & Jose Maria Barrero & Nick Bloom & Philip Bunn & Scarlet Chen & Steven J. Davis & Brent Meyer & Emil Mihaylov & Paul Mizen & Nicholas B. Parker & Thomas Renault & P, 2020. "Economic Uncertainty before and during the COVID-19 Pandemic," FRB Atlanta Working Paper 2020-9, Federal Reserve Bank of Atlanta.
- Dave Altig & Scott Baker & Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Scarlet Chen & Steven Davis & Julia Leather & Brent Meyer & Emil Mihaylov & Paul Mizen & Nicholas Parker & Thomas Renault, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Post-Print hal-03205118, HAL.
- Dave Altig & Scott Baker & Jose Maria Barrero & Nick Bloom & Phil Bunn & Scarlet Chen & Steven J. Davis & Brent Meyer & Emil Mihaylov & Paul Mizen & Nick Parker & Thomas Renault & Pawel Smietanka & Gr, 2020. "Economic Uncertainty Before and During the COVID-19 Pandemic," Working Papers 2020-88, Becker Friedman Institute for Research In Economics.
- Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nick & Bunn, Philip & Chen, Scarlet & Davis, Steven J & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nick & Renault,, 2020. "Economic uncertainty before and during the Covid-19 pandemic," Bank of England working papers 876, Bank of England.
- Dave Altig & Scott Baker & Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Scarlet Chen & Steven Davis & Julia Leather & Brent Meyer & Emil Mihaylov & Paul Mizen & Nicholas Parker & Thomas Renault, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205118, HAL.
- Dave Altig & Scott Baker & Jose Maria Barrero & Nick Bloom & Phil Bunn & Scarlet Chen & Steven J Davis & Julia Leather & Brent Meyer & Emil Mihaylov & Paul Mizen & Nick Parker & Thomas Renault & Pawel, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Discussion Papers 2020/07, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
- David Altig & Scott R. Baker & Jose Maria Barrero & Nicholas Bloom & Philip Bunn & Scarlet Chen & Steven J. Davis & Julia Leather & Brent H. Meyer & Emil Mihaylov & Paul Mizen & Nicholas B. Parker & T, 2020. "Economic Uncertainty Before and During the COVID-19 Pandemic," NBER Working Papers 27418, National Bureau of Economic Research, Inc.
- Xu Gong & Yujing Jin & Chuanwang Sun, 2022. "Time‐varying pure contagion effect between energy and nonenergy commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1960-1986, October.
- Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018.
"The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach,"
Energy Economics, Elsevier, vol. 71(C), pages 282-301.
- Shahbaz, Muhammad & Zakaria, Muhammad & Syed, Jawad & Kumar, Mantu, 2018. "The Energy Consumption and Economic Growth Nexus in Top Ten Energy-Consuming Countries: Fresh Evidence from Using the Quantile-on-Quantile Approach," MPRA Paper 84920, University Library of Munich, Germany, revised 01 Mar 2018.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2013.
"Should Macroeconomic Forecasters Use Daily Financial Data and How?,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 240-251, April.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
- Eric Ghysels & Andros Kourtellos & Elena Andreou, 2012. "Should macroeconomic forecasters use daily financial data and how?," 2012 Meeting Papers 1196, Society for Economic Dynamics.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should Macroeconomic Forecasters Use Daily Financial Data and How?," Working Paper series 42_10, Rimini Centre for Economic Analysis.
- Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
- Chernis, Tony & Cheung, Calista & Velasco, Gabriella, 2020.
"A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 851-872.
- Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
- Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022.
"Scaled PCA: A New Approach to Dimension Reduction,"
Management Science, INFORMS, vol. 68(3), pages 1678-1695, March.
- Dashan Huang & Fuwei Jiang & Kunpeng Li & Guoshi Tong & Guofu Zhou, 2022. "Scaled PCA: A New Approach to Dimension Reduction," CEMA Working Papers 678, China Economics and Management Academy, Central University of Finance and Economics.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Wang, Qiang & Wang, Lili, 2020. "Renewable energy consumption and economic growth in OECD countries: A nonlinear panel data analysis," Energy, Elsevier, vol. 207(C).
- Barbara Rossi & Atsushi Inoue, 2012.
"Out-of-Sample Forecast Tests Robust to the Choice of Window Size,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 432-453, April.
- Rossi, Barbara & Inoue, Atsushi, 2011. "Out-of-Sample Forecast Tests Robust to the Choice of Window Size," CEPR Discussion Papers 8542, C.E.P.R. Discussion Papers.
- Barbara Rossi & Atsushi Inoue, 2012. "Out-of-sample forecast tests robust to the choice of window size," Economics Working Papers 1404, Department of Economics and Business, Universitat Pompeu Fabra.
- Atsushi Inoue & Barbara Rossi, 2011. "Out-of-sample forecast tests robust to the choice of window size," Working Papers 11-31, Federal Reserve Bank of Philadelphia.
- Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
- Yoo, Seung-Hoon & Kwak, So-Yoon, 2010. "Electricity consumption and economic growth in seven South American countries," Energy Policy, Elsevier, vol. 38(1), pages 181-188, January.
- Ma, Feng & Liao, Yin & Zhang, Yaojie & Cao, Yang, 2019. "Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 40-55.
- Kourtzidis, Stavros A. & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2018. "Re-evaluating the energy consumption-economic growth nexus for the United States: An asymmetric threshold cointegration analysis," Energy, Elsevier, vol. 148(C), pages 537-545.
- Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017.
"Tracking the Slowdown in Long-Run GDP Growth,"
The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
- Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 81869, London School of Economics and Political Science, LSE Library.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.
- Alex Chinco & Adam D. Clark‐Joseph & Mao Ye, 2019. "Sparse Signals in the Cross‐Section of Returns," Journal of Finance, American Finance Association, vol. 74(1), pages 449-492, February.
- Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022.
"The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction,"
Resources Policy, Elsevier, vol. 79(C).
- B. T. Ewing & M. J. Piette & J. E. Payne, 2004. "Correction," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 557-557, September.
- Apergis, Nicholas & Payne, James E., 2009. "Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model," Energy Economics, Elsevier, vol. 31(2), pages 211-216.
- Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
- Apergis, Nicholas & Payne, James E., 2010. "Energy consumption and growth in South America: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 32(6), pages 1421-1426, November.
- Nicholas Apergis & James E. Payne, 2012. "Tourism and Growth in the Caribbean – Evidence from a Panel Error Correction Model," Tourism Economics, , vol. 18(2), pages 449-456, April.
- Nicholas Apergis & Rajeev Goel & James Payne, 2014. "Dynamics of U.S. State Cigarette Consumption: Evidence from Panel Error Correction Modeling," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 42(1), pages 3-20, March.
- Nicholas Apergis & Oguzhan Dincer & James E. Payne, 2014. "Economic Freedom And Income Inequality Revisited: Evidence From A Panel Error Correction Model," Contemporary Economic Policy, Western Economic Association International, vol. 32(1), pages 67-75, January.
- Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
- James Payne, 2003. "Post stabilization estimates of money demand in Croatia: error correction model using the bounds testing approach," Applied Economics, Taylor & Francis Journals, vol. 35(16), pages 1723-1727.
- Nicholas Apergis & Oguzhan Dincer & James Payne, 2010. "The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model," Public Choice, Springer, vol. 145(1), pages 125-135, October.
- Barsoum, Fady & Stankiewicz, Sandra, 2015.
"Forecasting GDP growth using mixed-frequency models with switching regimes,"
International Journal of Forecasting, Elsevier, vol. 31(1), pages 33-50.
- Fady Barsoum & Sandra Stankiewicz, 2013. "Forecasting GDP Growth Using Mixed-Frequency Models With Switching Regimes," Working Paper Series of the Department of Economics, University of Konstanz 2013-10, Department of Economics, University of Konstanz.
- Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019.
"Manager sentiment and stock returns,"
Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
- Fuwei Jiang & Joshua Lee & Xiumin Martin & Guofu Zhou, 2019. "Manager sentiment and stock returns," CEMA Working Papers 677, China Economics and Management Academy, Central University of Finance and Economics.
- Bryan Kelly & Seth Pruitt, 2013. "Market Expectations in the Cross-Section of Present Values," Journal of Finance, American Finance Association, vol. 68(5), pages 1721-1756, October.
- John Y. Campbell & Samuel B. Thompson, 2008.
"Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
- Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
- Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
- Tony Chernis & Rodrigo Sekkel, 2017.
"A dynamic factor model for nowcasting Canadian GDP growth,"
Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
- Tony Chernis & Rodrigo Sekkel, 2017. "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers 17-2, Bank of Canada.
- Adlai Fisher & Charles Martineau & Jinfei Sheng, 2022. "Macroeconomic Attention and Announcement Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5057-5093.
- Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
- Todd E. Clark & Francesco Ravazzolo, 2015. "Macroeconomic Forecasting Performance under Alternative Specifications of Time‐Varying Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 551-575, June.
- Daniel Borup & Erik Christian Montes Schütte, 2022.
"In Search of a Job: Forecasting Employment Growth Using Google Trends,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 186-200, January.
- Daniel Borup & Erik Christian Montes Schütte, 2019. "In search of a job: Forecasting employment growth using Google Trends," CREATES Research Papers 2019-13, Department of Economics and Business Economics, Aarhus University.
- Ma, Feng & Lu, Xinjie & Liu, Jia & Huang, Dengshi, 2022. "Macroeconomic attention and stock market return predictability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
- Chai, Jingxia & Wu, Haitao & Hao, Yu, 2022. "Planned economic growth and controlled energy demand: How do regional growth targets affect energy consumption in China?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
- Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2019. "Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector," Energy, Elsevier, vol. 173(C), pages 706-720.
- Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lu, Fei & Ma, Feng & Feng, Lin, 2024. "Carbon dioxide emissions and economic growth: New evidence from GDP forecasting," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lu, Fei & Ma, Feng & Feng, Lin, 2024. "Carbon dioxide emissions and economic growth: New evidence from GDP forecasting," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Wen, Danyan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2024. "Forecasting crude oil market volatility: A comprehensive look at uncertainty variables," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1022-1041.
- He, Mengxi & Zhang, Yaojie & Wen, Danyan & Wang, Yudong, 2021. "Forecasting crude oil prices: A scaled PCA approach," Energy Economics, Elsevier, vol. 97(C).
- Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
- Lu, Fei & Ma, Feng & Guo, Qiang, 2023. "Less is more? New evidence from stock market volatility predictability," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Zhang, Yaojie & Wang, Yudong, 2023. "Forecasting crude oil futures market returns: A principal component analysis combination approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 659-673.
- Liu, Shan & Li, Ziwei, 2023. "Macroeconomic attention and oil futures volatility prediction," Finance Research Letters, Elsevier, vol. 57(C).
- Chao Liang & Yaojie Zhang & Xiafei Li & Feng Ma, 2022. "Which predictor is more predictive for Bitcoin volatility? And why?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1947-1961, April.
- Hoang, Khoa & Cannavan, Damien & Huang, Ronghong & Peng, Xiaowen, 2021. "Predicting stock returns with implied cost of capital: A partial least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
- He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
- Xu, Yongan & Duong, Duy & Xu, Hualong, 2023. "Attention! Predicting crude oil prices from the perspective of extreme weather," Finance Research Letters, Elsevier, vol. 57(C).
- Wen, Chufu & Zhu, Haoyang & Dai, Zhifeng, 2023. "Forecasting commodity prices returns: The role of partial least squares approach," Energy Economics, Elsevier, vol. 125(C).
- Yaojie Zhang & Qingxiang Han & Mengxi He, 2024. "Forecasting stock market returns with a lottery index: Evidence from China," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1595-1606, August.
- Yi, Yongsheng & He, Mengxi & Zhang, Yaojie, 2022. "Out-of-sample prediction of Bitcoin realized volatility: Do other cryptocurrencies help?," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
- Zhang, Yaojie & Ma, Feng & Wang, Yudong, 2019. "Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 97-117.
- Baumeister, Christiane & Guérin, Pierre, 2021.
"A comparison of monthly global indicators for forecasting growth,"
International Journal of Forecasting, Elsevier, vol. 37(3), pages 1276-1295.
- Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," NBER Working Papers 28014, National Bureau of Economic Research, Inc.
- Baumeister, Christiane & Guerin, Pierre, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CEPR Discussion Papers 15403, C.E.P.R. Discussion Papers.
- Christiane Baumeister & Pierre Guérin, 2020. "A comparison of monthly global indicators for forecasting growth," CAMA Working Papers 2020-93, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
- Wang, Jiqian & He, Xiaofeng & Ma, Feng & Li, Pan, 2022. "Uncertainty and oil volatility: Evidence from shrinkage method," Resources Policy, Elsevier, vol. 75(C).
- Liu, Guangqiang & Guo, Xiaozhu, 2022. "Forecasting stock market volatility using commodity futures volatility information," Resources Policy, Elsevier, vol. 75(C).
- Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
- Lu, Xinjie & Ma, Feng & Wang, Tianyang & Wen, Fenghua, 2023. "International stock market volatility: A data-rich environment based on oil shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 184-215.
More about this item
Keywords
Economic growth; GDP growth rate; ECI; Industrial sector; Geopolitical risk shocks;All these keywords.
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:eee:eneeco:v:129:y:2024:i:c:s0140988323007661. See general information about how to correct material in RePEc.
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 bibliographic 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.