An efficient approach to structural breaks and the case of automobile gasoline consumption in Australia
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DOI: 10.1016/j.tra.2023.103594
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- Jesús Clemente & María Dolores Gadea & Antonio Montañés & Marcelo Reyes, 2017.
"Structural Breaks, Inflation and Interest Rates: Evidence from the G7 Countries,"
Econometrics, MDPI, vol. 5(1), pages 1-17, February.
- Jesus Clemente & Antonio Montañes & Marcelo Reyes, 2004. "Structural Breaks, Inflation and Interest Rates: Evidence for the G7 countries," Econometrics 0401005, University Library of Munich, Germany.
- Christiane Baumeister & Gert Peersman, 2013.
"The Role Of Time‐Varying Price Elasticities In Accounting For Volatility Changes In The Crude Oil Market,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1087-1109, November.
- Christiane Baumeister & Gert Peersman, 2011. "The Role of Time-Varying Price Elasticities in Accounting for Volatility Changes in the Crude Oil Market," Staff Working Papers 11-28, Bank of Canada.
- Jushan, Bai, 1995. "Estimation of multiple-regime regressions with least absolutes deviation," MPRA Paper 32916, University Library of Munich, Germany, revised Feb 1998.
- Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2015. "Structural breaks, dynamic correlations, asymmetric volatility transmission, and hedging strategies for petroleum prices and USD exchange rate," Energy Economics, Elsevier, vol. 48(C), pages 46-60.
- Jushan Bai, 1994.
"Least Squares Estimation Of A Shift In Linear Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 15(5), pages 453-472, September.
- Bai, Jushan, 1993. "Least squares estimation of a shift in linear processes," MPRA Paper 32878, University Library of Munich, Germany.
- George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019.
"Large time‐varying parameter VARs: A nonparametric approach,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
- Marcellino, Massimiliano & Kapetanios, George & Venditti, Fabrizio, 2016. "Large Time-Varying Parameter VARs: A Non-Parametric Approach," CEPR Discussion Papers 11560, C.E.P.R. Discussion Papers.
- George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2017. "Large time-varying parameter VARs: a non-parametric approach," Temi di discussione (Economic working papers) 1122, Bank of Italy, Economic Research and International Relations Area.
- Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Jeyhun Mammadov, 2020. "Gasoline Demand Elasticities at the Backdrop of Lower Oil Prices: Fuel-Subsidizing Country Case," Energies, MDPI, vol. 13(24), pages 1-18, December.
- Qu, Zhongjun, 2008. "Testing for structural change in regression quantiles," Journal of Econometrics, Elsevier, vol. 146(1), pages 170-184, September.
- Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
- Kai Wenger & Christian Leschinski & Philipp Sibbertsen, 2019.
"Change-in-mean tests in long-memory time series: a review of recent developments,"
AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 237-256, June.
- Wenger, Kai & Leschinski, Christian & Sibbertsen, Philipp, 2017. "Change-in-Mean Tests in Long-memory Time Series: A Review of Recent Developments," Hannover Economic Papers (HEP) dp-598, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Hensher, David A. & Nelson, John D. & Mulley, Corinne, 2022. "Electric car sharing as a service (ECSaaS) – Acknowledging the role of the car in the public mobility ecosystem and what it might mean for MaaS as eMaaS?," Transport Policy, Elsevier, vol. 116(C), pages 212-216.
- Salvatore Fasola & Vito M. R. Muggeo & Helmut Küchenhoff, 2018. "A heuristic, iterative algorithm for change-point detection in abrupt change models," Computational Statistics, Springer, vol. 33(2), pages 997-1015, June.
- Hensher, David A. & Balbontin, Camila & Beck, Matthew J. & Wei, Edward, 2022. "The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 179-201.
- Omri, Anis, 2014.
"An international literature survey on energy-economic growth nexus: Evidence from country-specific studies,"
Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
- Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," MPRA Paper 82452, University Library of Munich, Germany, revised 30 Jun 2014.
- 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.
- Josua Gösmann & Tobias Kley & Holger Dette, 2021. "A new approach for open‐end sequential change point monitoring," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(1), pages 63-84, January.
- Liddle, Brantley & Lung, Sidney, 2013. "The long-run causal relationship between transport energy consumption and GDP: Evidence from heterogeneous panel methods robust to cross-sectional dependence," Economics Letters, Elsevier, vol. 121(3), pages 524-527.
- Yang, Youlong & Che, Jinxing & Deng, Chengzhi & Li, Li, 2019. "Sequential grid approach based support vector regression for short-term electric load forecasting," Applied Energy, Elsevier, vol. 238(C), pages 1010-1021.
- Park, Cheol-Woo & Kim, Woo-Chul, 2004. "Estimation of a regression function with a sharp change point using boundary wavelets," Statistics & Probability Letters, Elsevier, vol. 66(4), pages 435-448, March.
- Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
- Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
- Li, Zheng & Rose, John M. & Hensher, David A., 2010. "Forecasting automobile petrol demand in Australia: An evaluation of empirical models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 16-38, January.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020.
"Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors,"
The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 17-15R, Federal Reserve Bank of Cleveland.
- Todd E Clark & Michael W McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," BIS Working Papers 667, Bank for International Settlements.
- Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
- John M. Maheu & Yong Song, 2018.
"An efficient Bayesian approach to multiple structural change in multivariate time series,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 251-270, March.
- Maheu, John M & Song, Yong, 2017. "An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series," MPRA Paper 79211, University Library of Munich, Germany.
- John Geweke & Susan Porter‐Hudak, 1983. "The Estimation And Application Of Long Memory Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 221-238, July.
- Ozturk, Ilhan & Aslan, Alper & Kalyoncu, Huseyin, 2010. "Energy consumption and economic growth relationship: Evidence from panel data for low and middle income countries," Energy Policy, Elsevier, vol. 38(8), pages 4422-4428, August.
- Ana María Herrera & Sandeep Kumar Rangaraju, 2020. "The effect of oil supply shocks on US economic activity: What have we learned?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 141-159, March.
- Marc Lavielle & Eric Moulines, 2000. "Least‐squares Estimation of an Unknown Number of Shifts in a Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 21(1), pages 33-59, January.
- Loungani, Prakash, 1986. "Oil Price Shocks and the Dispersion Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 68(3), pages 536-539, August.
- I. Sánchez-Borrego & M. Martínez-Miranda & A. González-Carmona, 2006. "Local linear kernel estimation of the discontinuous regression function," Computational Statistics, Springer, vol. 21(3), pages 557-569, December.
- Chiou-Wei, Song Zan & Chen, Ching-Fu & Zhu, Zhen, 2008. "Economic growth and energy consumption revisited -- Evidence from linear and nonlinear Granger causality," Energy Economics, Elsevier, vol. 30(6), pages 3063-3076, November.
- Chenxi Li & Ying Wei & Rick Chappell & Xuming He, 2011. "Bent Line Quantile Regression with Application to an Allometric Study of Land Mammals' Speed and Mass," Biometrics, The International Biometric Society, vol. 67(1), pages 242-249, March.
- Jandhyala, Venkata K. & Fotopoulos, Stergios B. & Evaggelopoulos, Nicholas E., 2000. "A comparison of unconditional and conditional solutions to the maximum likelihood estimation of a change-point," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 315-334, September.
- Ewald, Jens & Sterner, Thomas & Sterner, Erik, 2022. "Understanding the resistance to carbon taxes: Drivers and barriers among the general public and fuel-tax protesters," Resource and Energy Economics, Elsevier, vol. 70(C).
- Azlina, A.A. & Law, Siong Hook & Nik Mustapha, Nik Hashim, 2014. "Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia," Energy Policy, Elsevier, vol. 73(C), pages 598-606.
- Oka, Tatsushi & Qu, Zhongjun, 2011.
"Estimating structural changes in regression quantiles,"
Journal of Econometrics, Elsevier, vol. 162(2), pages 248-267, June.
- Zhongjun Qu & Tatsushi Oka, 2010. "Estimating structural changes in regression quantiles," Boston University - Department of Economics - Working Papers Series WP2010-052, Boston University - Department of Economics.
- Odeck, James & Johansen, Kjell, 2016. "Elasticities of fuel and traffic demand and the direct rebound effects: An econometric estimation in the case of Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 1-13.
- Sharif, Arshian & Shahbaz, Muhammad & Hille, Erik, 2019. "The Transportation-growth nexus in USA: Fresh insights from pre-post global crisis period," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 108-121.
- Liangjun Su & Pai Xu, 2019. "Common threshold in quantile regressions with an application to pricing for reputation," Econometric Reviews, Taylor & Francis Journals, vol. 38(4), pages 417-450, April.
- Helmut Lütkepohl & Aleksei NetŠunajev, 2014.
"Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
- Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
- George N. Botzoris & Athanasios T. Galanis & Vassilios A. Profillidis & Nikolaos E. Eliou, 2015. "Coupling and Decoupling Relationships between Energy Consumption and Air Pollution from the Transport Sector and the Economic Activity," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 949-954.
- Bai, Jushan, 1995. "Least Absolute Deviation Estimation of a Shift," Econometric Theory, Cambridge University Press, vol. 11(3), pages 403-436, June.
- Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
- Hensher, David A. & Ho, Chinh Q. & Reck, Daniel J., 2021. "Mobility as a service and private car use: Evidence from the Sydney MaaS trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 17-33.
- Altinay, Galip & Karagol, Erdal, 2004. "Structural break, unit root, and the causality between energy consumption and GDP in Turkey," Energy Economics, Elsevier, vol. 26(6), pages 985-994, November.
- Edelstein, Paul & Kilian, Lutz, 2009. "How sensitive are consumer expenditures to retail energy prices?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 766-779, September.
- Liddle, Brantley & Huntington, Hillard, 2020. "‘On the Road Again’: A 118 country panel analysis of gasoline and diesel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 151-167.
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More about this item
Keywords
Structural breaks; Automobile gasoline consumption; Economic shocks; Heterogeneity; Threshold quantile regression;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
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