This paper tries to model the electricity demand in Iran’s industrial sector which captures economic factors and also non-economic exogenous factors. The structural time series model (STSM) approach is employed which allows using economic theory and time series flexibility. In this approach the role of UEDT (Underlying Energy Demand Trend) including technological improvement and structural chan...

abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...

the poor orientation of the restaurants toward the information technology has yet many unsolved issues in regards to the customers. one of these problems which lead the appeal list of later, and have a negative impact on the prestige of the restaurant is the case when the later does not respond on time to the customers’ needs, and which causes their dissatisfaction. this issue is really sensiti...

This paper tries to demonstrate the importance of non-economic exogenous factors (Underlying Energy Demand Trend) when we estimate the industrial energy demand for Iran. The Structural Time Series Model (STSM) approach is used to model these unobservable factors. The Kalman filter and Maximum Likelihood methods allow us to estimate the value of the UEDT. This approach enables us to obtain more ...

This paper aims to model total electricity demand (incremental) in order to estimate price and income elasticities using provincial data and the spatial panel data method. Electricity demand at the province level is influenced by climatic zones, which can be divided into temperate, cold and sub-tropical. This paper uses time series data for electricity demand in Iran’s 28 provinces, taking into...