conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

oil-exporting economies largely dependent on oil revenues and oil income fluctuation are one of the most important factors that influence sectors of the economy specially the stock market. this paper investigate the relationship between oil markets and stock return volatility and transmission in a selection of opec countries, using a multivariate garch models (full-vech) over the period may 201...

in this article, optimal vat rates have been calculated for the three different levels of consumption tax revenue needed by the government. using the data of 10 income groups of the iranian rural and urban households in the period(1378-1386) and applying panel data approach, the almost ideal demand system(aids) were estimated to derive the price and income elasticities. then, the optimal vat ra...

almost ideal demand system (aids) and rotterdam model have been employed to (by means of seemingly unrelated regression (sur) estimate the function related to milk and dairy products in the urban societies of iran for years 1982 to 2009. cross and cross price elasticities have been evaluated too. results indicated that during the study period, share of milk products in household budget was more...

abstract among different water usage in iran, agricultural sector with 94 percent is the largest water user. considering the share of agriculture in water usage, farmers are the main factor in water resources management. therefore, optimal utilization of irrigation and drainage networks would depend on farmers’ effective role. due to the limited water resources in different country regions, inc...

abstract the aim of this study was to selecting the suitable model for forecast land, production and price of sugar beet in iran. for this purpose, models applied to forecast are arima, single and double exponential smoothing, harmonic, artificial neural network and arch for period 1993-2008. results of durbin-watson tests, land, production and price of sugar beet series were found non stochast...

considerable indirect taxes are obtained to finance different expenditures of governments. the indirect taxes have different and to somewhat contrary effects in the economy. this paper investigates on the effects of the indirect taxes on sectors’ products to finance the government expenditures. using an input-output analysis, the effects of this policy on the cost-push price inflation and emplo...

the protection of households against catastrophic medical payment always has been one of the most important objectives in any health care system. this study assessed the performance of iranian health insurance schemes in protection the patients against catastrophic medical payment. this is an analytical study which performed in a cross sectional design on 400 patients that hospitalized in selec...

value added is a criterion for evaluating the performance of economic units. statistics related to various economic indicators of industrial workshops located in iranian provinces with their value added are annually obtained by statistical centre of iran via “industrial workshops survey” program. this study is going to find the most important factors affecting the value added of the workshops, ...

we describe a simple model that fits well with iranian economy, and extends a methodology which chary at el. (2007) demonstrated. in addition to four traditional wedges, we introduce additional trade wedge. we then evaluate the contribution of these wedges to the fluctuations in iran during last three years. because of international sanction, trading cost increases, and firms have difficulty to...