نتایج جستجو برای: gasoline demand

تعداد نتایج: 152281  

The purpose of this paper is to estimate oil products demand by the state-space model, taking into account the implications for price liberalization using the Kalman filter technique in the framework of a time-varying pattern. For this purpose, we use the data of the Energy Balance Sheet and the National Iranian Oil Refining and Distribution Company during the period of 1994-2017. Our model res...

In this study, for the first time, we model gasoline consumption behavior in Iran using the long-term memory model of the autoregressive fractionally integrated moving average and non-linear Markov-Switching regime change model. Initially, the long-term memory feature of the ARFIMA model is investigated using the data from 1927 to 2017. The results indicate that the time series studied has a lo...

2013
LAURENCE LEVIN MATTHEW S. LEWIS FRANK A. WOLAK

Daily city-level expenditures and prices are used to estimate the price responsiveness of gasoline demand in the U.S. Using a frequency of purchase model that explicitly acknowledges the distinction between gasoline demand and gasoline expenditures, we consistently find the price elasticity of demand to be an order of magnitude larger than estimates from recent studies using more aggregated dat...

Journal: :international journal of environmental research 2010
s. alipour a.r. karbassi m. abbaspour m. saffarzadeh n. moharamnejad

nowadays, transportation sector consumes about 27 percent of the whole energy in iran. therefore, after domestic and business sectors which consume about 40 percent of the whole energy, transportation is placed in the second rank. however, the financial value of transportation is of the highest importance. moreover, having 55percent of gasoline product consumption transportation has been also r...

2008
Thomas Klier Joshua Linn

This paper uses a unique data set of monthly new vehicle sales by detailed model from 19702007, and implements a new identification strategy to estimate the effect of gasoline prices on new vehicle demand. We control for unobserved vehicle and consumer characteristics by using within model-year changes in gasoline prices and vehicle sales. We find a significant demand response, as nearly half o...

2006
Jonathan E. Hughes Christopher R. Knittel Daniel Sperling

Understanding the sensitivity of gasoline demand to changes in prices and income has important implications for policies related to climate change, optimal taxation and national security, to name only a few. While the short-run price and income elasticities of gasoline demand in the United States have been studied extensively, the vast majority of these studies focus on consumer behavior in the...

2014
Jie Zhang Changchun Yang Ying Tang Rui Zhou Xiaoli Wang Lianghong Xu

BACKGROUND Methanol has become an alternative fuel for gasoline, which is facing a rapidly rising world demand with a limited oil supply. Methanol-gasoline has been used in China, but phase stability and vapor lock still need to be resolved in methanol-gasoline applications. In this paper, a series of tartaric esters were synthesized and used as phase stabilizers and saturation vapor pressure d...

2007
Jonathan E. Hughes Christopher R. Knittel Daniel Sperling Severin Borenstein Oscar Jorda

Understanding the sensitivity of gasoline demand to changes in prices and income has important implications for policies related to climate change, optimal taxation and national security, to name only a few. While the short-run price and income elasticities of gasoline demand in the United States have been studied extensively, the vast majority of these studies focus on consumer behavior in the...

Journal: :SSRN Electronic Journal 2012

2006
Tat Y. Chan V. Padmanabhan P. B. Seetharaman

The authors propose a econometric model of both the geographic locations of gasoline retailers in Singapore, as well as price competition between these retailers conditional on their geographic locations. Although market demand for gasoline are not observed, the authors are able to infer the effects of such demand from stations’ location and pricing decisions using available data on local marke...

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