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...

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...

the serious obstacles to improve water supply, has caused world debates, seeking some solutions to tackle the problem of shortages in water supply. t. therefore, programs and policies have focused mainly on appropriate pricing approachof. since the water industry in iran has been monopolized by the government, an effective pricing approach is assumed to maximize the social welfare with consider...

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...

In this era of globalization and constant innovation, the life cycles of products are diminishing, which tends to cause dynamic behaviour in the system, and because of this, there is a constant introduction of new products in the market. Therefore, while developing inventory models for new products, it becomes necessary to consider dynamic parameters associated with the demand function and resp...

The study aims to estimate an international reserves demand model for China using economic growth, propensity to import, real effective exchange rate and trade openness variables for quarterly period spanning from 1985Q1 to 2014Q4.The bounds testing technique to cointegration is used to test for a long run relationship, while the autoregressive distributed lag approach is used to estimate short...

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...