List of Articles رگرسیون به ظاهر نامرتبط

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  1 - Reaction of European Industries Importing Iranian Oil to Energy Prices: Inter-factor analysis and Inter-fuel analysis
  somayeh azami Kiumars Soheili marjan ghasemi
  Abstract The purpose of this study is evaluating European manufacturing Industries Importing Iranian Oil response to energy prices during 1970-2005. A two-stage translog model is used for estimating production factor and fuel demand elasticities. Results of inter-factor More

  Abstract The purpose of this study is evaluating European manufacturing Industries Importing Iranian Oil response to energy prices during 1970-2005. A two-stage translog model is used for estimating production factor and fuel demand elasticities. Results of inter-factor analysis show that in most of the countries, energy is inelastic input. Results of inter-fuel analysis show that natural gas is a good substitute for gasoil in European industries. With increasing price of electricity and natural gas, it is predicted that oil is a substitute for these energy carriers in most of countries. Demand elasticity for energy carriers (excluding gasoline) was low estimated. The results of this study have important implications for the industry energy suppliers and environmental policy makers. Manuscript profile
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  2 - Comparing the Performance of Linear and Non-Linear Models to Explain Almost Ideal Demand System
  Mohammad Rezaei pour Mehdi Zolfaghari mojtaba yousefi dindarloo Abolfazl Najarzadeh
  In most of empirical studies based on almost ideal demand system (Aids), the elasticity of the price and income estimated by these equations resulted to some sensitive policy making recommendations in microeconomics and macroeconomics. It is in such a case that there is More

  In most of empirical studies based on almost ideal demand system (Aids), the elasticity of the price and income estimated by these equations resulted to some sensitive policy making recommendations in microeconomics and macroeconomics. It is in such a case that there is some doubt about reliability of linear estimation of such models. In this study, the performance of linear and non-linear almost ideal demand system is under the investigation. For this purpose, seemingly unrelated regression (SURE) method will be applied to estimate linear model and multilayered feed forward neural network (MFNN) is used to estimate a non-linear one. The results indicate that multilayered feed forward neural network is associated with less error than the linear model, and consequently, leads to a better estimation of almost ideal demand system. This result creates some hesitate on application of Stone price index for linear zing estimation of almost ideal demand system. Therefore, it is suggested that feed forward neural network will be applied to estimate almost ideal demand systems. Manuscript profile