Gasoline Demand, Pricing Policy and Social Welfare in Iran
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- Harvey, Andrew C & Koopman, Siem Jan, 1992. "Diagnostic Checking of Unobserved-Components Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 377-389, October.
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- Atalla, Tarek N. & Gasim, Anwar A. & Hunt, Lester C., 2018. "Gasoline demand, pricing policy, and social welfare in Saudi Arabia: A quantitative analysis," Energy Policy, Elsevier, vol. 114(C), pages 123-133.
- Raghoo, Pravesh & Surroop, Dinesh, 2020. "Price and income elasticities of oil demand in Mauritius: An empirical analysis using cointegration method," Energy Policy, Elsevier, vol. 140(C).
- Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.
- Mohamad Taghvaee, Vahid & Hajiani, Parviz, 2014. "Price and Income Elasticities of Gasoline Demand in Iran: Using Static, ECM, and Dynamic Models in Short, Intermediate, and Long Run," MPRA Paper 70054, University Library of Munich, Germany.
- Aldubyan, Mohammad & Gasim, Anwar, 2021.
"Energy price reform in Saudi Arabia: Modeling the economic and environmental impacts and understanding the demand response,"
Energy Policy, Elsevier, vol. 148(PB).
- Mohammad Al Dubyan & Anwar Gasim, 2020. "Energy Price Reform in Saudi Arabia: Modeling the Economic and Environmental Impact and Understanding the Demand Response," Discussion Papers ks--2020-dp12, King Abdullah Petroleum Studies and Research Center.
- Mir Hossein Mousavi, 2015. "An Estimation of Natural Gas Demand in Household Sector of Iran; the Structural Time Series Approach," Proceedings of International Academic Conferences 2804383, International Institute of Social and Economic Sciences.
- Aliyu Barde Abdullahi, 2014. "Modeling Petroleum Product Demand in Nigeria Using Structural Time Series Model (STSM) Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 427-441.
- Gately, Dermot & Al-Yousef, Nourah & Al-Sheikh, Hamad M.H., 2013. "The rapid growth of OPEC′s domestic oil consumption," Energy Policy, Elsevier, vol. 62(C), pages 844-859.
- Houri Jafari, H. & Baratimalayeri, A., 2008. "The crisis of gasoline consumption in the Iran's transportation sector," Energy Policy, Elsevier, vol. 36(7), pages 2536-2543, July.
- Kakali Kanjilal & Sajal Ghosh, 2018. "Revisiting income and price elasticity of gasoline demand in India: new evidence from cointegration tests," Empirical Economics, Springer, vol. 55(4), pages 1869-1888, December.
- Adeyemi, Olutomi I. & Broadstock, David C. & Chitnis, Mona & Hunt, Lester C. & Judge, Guy, 2010.
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Energy Economics, Elsevier, vol. 32(5), pages 1157-1164, September.
- Olutomi I Adeyemi & David C Broadstock & Mona Chitnis & Lester C Hunt & Guy Judge, 2008. "Asymmetric Price Responses and the Underlying Energy Demand Trend: Are they Substitutes or Complements? Evidence from Modelling OECD Aggregate Energy Demand," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 121, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Afshin Ghorbani & Mohammad Reza Rahimpour & Younes Ghasemi & Sona Raeissi, 2018. "The Biodiesel of Microalgae as a Solution for Diesel Demand in Iran," Energies, MDPI, vol. 11(4), pages 1-17, April.
- Elaheh Jafarnejad & Ahmad Makui & Ashkan Hafezalkotob & Amir Aghsami, 2024. "Governance intervention policies in the production competition of biofuels and fossil fuels: a pathway to sustainable development," Operations Management Research, Springer, vol. 17(2), pages 660-682, June.
- Dilaver, Zafer & Hunt, Lester C., 2021. "Modelling U.S. gasoline demand: A structural time series analysis with asymmetric price responses," Energy Policy, Elsevier, vol. 156(C).
- Nourah Al Yousef, 2013. "Demand for Oil Products in OPEC Countries: A Panel Cointegration Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 168-177.
- Sa'ad, Suleiman, 2009. "An empirical analysis of petroleum demand for Indonesia: An application of the cointegration approach," Energy Policy, Elsevier, vol. 37(11), pages 4391-4396, November.
- Vahid Mohamad Taghvaee & Abbas Assari Arani & Susanne Soretz & Lotfali Agheli, 2023. "Diesel demand elasticities and sustainable development pillars of economy, environment and social (health): comparing two strategies of subsidy removal and energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2285-2315, March.
- Shamaila Aziz & Muhammad Rizwan Yaseen & Sofia Anwar, 2016. "Impact of Rising Energy Prices on Consumer’s Welfare: A Case Study of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 605-618.
- Muhammad Atta-ul-Islam Abrar & Muhsin Ali & Uzma Bashir & Karim Khan, 2019. "Energy Pricing Policies and Consumers’ Welfare: Evidence from Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 24(1), pages 1-28, Jan-June.
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