and income elasticities of gasoline demand show whether the price policy,
pursued by the Iranian government, can decrease the high gasoline consumption
sufficiently or not. Since the two oil price shocks in 1970 and 1973, interest
in the study of oil products demand has increased considerably, especially on
gasoline. High gasoline consumption is a serious crisis in Iran, posing
economically, politically, and environmentally threats. In this study, the
elasticities are estimated over three intervals, short run, intermediate run, and
long run in Iran during 1976-2010, by putting the estimates of Error Correction
Model (ECM), static model, and dynamic model in an increasing order,
respectively. The short run, intermediate run, and long run price elasticities
are -0.1538, -0.1618,
and the corresponding income elasticities are 0.2273 - 0.3581, 0.4636, and
0.7284, respectively. Not only do these elasticities imply that the gasoline
demand is price and income inelastic but also the adjustment velocity,
estimated by ECM, is a low point at -0.1942. Based on the
estimations, the gasoline demand responds to the changes of price and income
slightly and slowly. Therefore, policy makers should develop more strategies to
reduce gasoline consumption, for example, substitute goods, public
transportation systems, and environmental standards settings.
Cite this paper
Taghvaee, V. and Hajiani, P. (2014) Price and Income Elasticities of Gasoline Demand in Iran: Using Static, ECM, and Dynamic Models in Short, Intermediate, and Long Run. Modern Economy
, 939-950. doi: 10.4236/me.2014.59087
 Rao, B.B. and Rao, G. (2009) Cointegration and the Demand for Gasoline. Energy Policy, 37, 3978-3983.
 Sa’ad, S. (2009) An Empirical Analysis of Petroleum Demand for Indonesia: An Application of the Cointegration Approach. Energy Policy, 37, 4391-4396. http://dx.doi.org/10.1016/j.enpol.2009.05.058
 Bhattacharyya, S.C. and Blake, A. (2009) Domestic Demand for Petroleum Products in MENA Countries. Energy Policy, 37, 1552-1560. http://dx.doi.org/10.1016/j.enpol.2008.12.028
 Central Bank of the Islamic Republic of Iran (2014) Economic Time Series Database, Economic Research and Policy Department. http://tsd.cbi.ir/
 Ahmadian, M., Chitnis, M. and Hunt, L.C. (2007) Gasoline Demand, Pricing Policy and Social Welfare in Iran. SEEDS, 117, 1-25.
 Jafari, H.H. and Baratimalayeri, A. (2008) The Crisis of Gasoline Consumption in the Iran’s Transportation Sector. Energy Policy, 36, 2536-2543. http://dx.doi.org/10.1016/j.enpol.2008.03.014
 Dahl, C.A. (2012) Measuring Global Gasoline and Diesel Price and Income Elasticities. Energy Policy, 41, 2-13.
 Dahl, C. and Sterner, T. (1991) Analysing Gasoline Demand Elasticities: A Survey. Energy Economics, 13, 203-210.
 Espey, M. (1998) Gasoline Demand Revisited: An International Meta-Analysis of Elasticities. Energy Economics, 20, 273-295. http://dx.doi.org/10.1016/S0140-9883(97)00013-3
 Baranzini, A. and Weber, S. (2013) Elasticities of Gasoline Demand in Switzerland. Energy Policy, 63, 674-680.
 Wadud, Z., Graham, D.J. and Noland, R.B. (2009) A Cointegration Analysis of Gasoline Demand in the United States. Applied Economics, 41, 3327-3336. http://dx.doi.org/10.1080/00036840701477306
 Sene, S.O. (2012) Estimating the Demand for Gasoline in Developing Countries: Senegal. Energy Economics, 34, 189-194. http://dx.doi.org/10.1016/j.eneco.2011.04.014
 Ramanathan, R. (1999) Short- and Long-Run Elasticities of Gasoline Demand in India: An Empirical Analysis Using Cointegration Techniques. Energy Economics, 21, 321-330. http://dx.doi.org/10.1016/S0140-9883(99)00011-0
 Akinboade, O.A., Ziramba, E. and Kumo, W.L. (2008) The Demand for Gasoline in South Africa: An Empirical Analysis Using Co-Integration Technique. Energy Economics, 30, 3222-3229.
 Eltony, M.N. and Al-Mtairi, N.H. (1995) Demand for Gasoline in Kuwait: An Empirical Analysis Using Cointegration Techniques. Energy Economics, 17, 249-253. http://dx.doi.org/10.1016/0140-9883(95)00006-G
 Alves, D.C.O. and Bueno, R.D. (2003) Short-Run, Long-Run and Cross Elasticities of Gasoline Demand in Brazil. Energy Economics, 25, 191-199. http://dx.doi.org/10.1016/S0140-9883(02)00108-1
 Gujarati, D.N. (2004) Basic Econometrics. 4th Edition, MC-Graw-Hill, Classical Normal Linear Regress-
ion Model (CNLMR), Boston, Massachussets, 107-118.
 Engel, R.F. and Granger, C.W.J. (1987) Co-Intergration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55, 251-276. http://dx.doi.org/10.2307/1913236
 National Iranian Oil Refining and Distribution Company (2014) Statistics Yearbook. Chapter 11 (in Persian).
 Taylor, B.N. and Thompson, A. (2008) The International System of Units (IS), National Institute of Standards and Technology. US Department of Commerce, 37.