gasoline is the most important energy product in the passenger transportation sector in iran. gasoline demand survey has a high priority in iran because of its ever-increasing consumption. the most important challenges for this purpose are uncertainties resulting from structural failure of economy, changing of policies and lack of accurate data. this research aims to specify the variables expla...

Compared to the conventional methods, Artificial Neural Networks (ANN) are considered to be one of the reliable tools for modeling of complex phenomena such as demand. Aim of this study is to provide a model for gasoline demand in transportation section of Tehran metropolis through multilayered perceptron neural network and using the presented model in analyzing the sensitivity of the model to ...

Using the most recently available data, this paper estimates the price and income elasticities of gasoline demand in the United States from a semiparametric smooth coefficient model. The econometric approach provides more flexibility by allowing functional coefficients to accommodate heterogeneity in gasoline demand. Instrumental variables are used to correct for the potential endogeneity of th...

In recent years, calls for carbon taxes as a policy tool to combat global warming have kept a discussion of the price and income elasticities of gasoline demand alive. To date, gasoline demand elasticity estimates are almost exclusively based on aggregate data that are subject to aggregation problems and make distributional concerns impossible to address. By using Ž . household-level data from ...

We examine how gasoline price volatility impacts consumers’ price elasticity of demand for gasoline. Results show that volatility in prices decreases consumer demand for gasoline in the intermediate run. We also find that consumers appear to be less elastic in response to changes in gasoline price when gasoline price volatility is medium or high, compared to when it is low. Moreover, we find th...

This paper offers new evidence concerning the difference in consumers’ reactions to changes in gasoline taxes relative to changes in gasoline prices. Using microdata from the 2007 to 2009 rounds of the U.S. Consumer Expenditure Survey, we estimate a complete system of demand augmented with information on gasoline excise taxes. By relying on a complete system of demand, rather than on single equ...

his study attempts to examine the empirical relationship between gasoline taxes (as the most effective energy carrier of emissions) and labor productivities in the case of Iran using the time series data for the period 1990-2015  usingthe autoregressive distributed lag (ARDL) approach. This research tests the interrelationship between the variables using the bounds testing to cointegration proc...

I won’t say much about point (1.) at this stage, we will talk more about it on the day we discuss the results of the problem set. I might only say that the US is rather unusual in having quite low taxes on gasoline and therefore has quite low gasoline prices and relatively high per-capita gasoline demand. See the chart reproduced from the Economist. We have several basic formulations of the the...

the aim of this paper is to present the prediction model of the transport energy demand in iran. markov chain grey model (mcgm) is proposed to forecast the transport energy demand of iran. then it is compared with grey model (gm) and regression model. moreover, the mcgm forecasting model is used to forecast the annual gasoline demand of iran up to the year 1400. the aim of this paper is to pres...

The evaluation of the impact of an increase in gasoline tax on demand relies crucially on the estimate of the price elasticity. This paper presents an extended application of the Partially Linear Additive Model (PLAM) to the analysis of gasoline demand using a panel of US households, focusing mainly on the estimation of the price elasticity. Methodologically, we propose a root-n consistent esti...