T his study investigates the factors affecting the demand for new residential buildings in urban areas of Iran during 1976-2010. The demand function for new residential buildings in urban areas was estimated and then the existence of a long-run relationship among variables of this function was studied using the Bounds testing of the Autoregressive Distributed Lag Co-integration procedure. The t...

while ignoring income distribution and estimating aggregate demand generally leads to aggregation bias and thus, does not reflect households’ demand properly, yet aggregation bias is rarely considered in empirical demand studies and simply is ignored in most cases. the objective of the present study is to estimate aggregation bias in households’ demand for various types of meats and to evaluate...

The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most probable stochastic demand point with normally distributed and independent variables of n-dime...

in this paper the factors having influence on travel demand to iran are paper explored. the hypothesis of the research specifies the variable of “domestic upheavals and insecurity” as the most significant obstacle to expansion of the demand for travel to iran. to test the above hypothesis, first several demand models that have been proposed to study demand for tourism in different countries, ar...

oil sector is the most effective sector in these countries. oil is the most important product that world industries use as the cheapest energy. the price of oil depends on the world’s supply and demand and many economic, political and geographical variables. this is the reason why the price of oil has fluctuations. the fluctuations in oil price lead to fluctuate in the oil revenues of the membe...