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The lack of statistics has hampered attempts to estimate fixed capital for the agricultural sub-sectors of Iran. Giving a non anonymous agreement on the depreciation rate of capital in machineries and constructions, an indirect method of estimation is employed using capital consumption statistics in different sub-sectors of input-output tables. In this study, capital stock is estimated in agricultural sub-sectors of Iran using the perpetual inventory method. According to the results of this paper, the capital stock in 2006 is estimated to be 53374.9 billion rials in cropping and horticulture, 24334.6 billion rials in animal husbandry, 4982 billion rials in forestry and rangelands and 16374.2 billion rials in fishery sub-sectors at constant 1997 prices, respectively. The findings based on the five year development plans of the country revealed that over the third development plan, the total agricultural capital stock, both in machinery and equipment and constructions, experienced the highest growth while during the second development plan, the machinery and equipment capital stock experienced the lowest growth. Moreover, during the first development plan and over the eight year war, the construction capital stock experienced the lowest growth.

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Regarding environmental importance and the lack of analytical methods for environmental policies, in this paper, shadow price for NOx and SOx emissions has been estimated for the Iranian electric industry. Input distance function is used for estimating shadow prices. The estimated shadow prices have revealed that the cost of Iranian electric industry for reducing one KG of NOx and Sox is 14991 and 17687 Rials, respectively. Estimated shadow prices in this study are greater than the amount offered by EPO (Environment Protection Organization) and World Bank. So it is recommended that any fine should be taken according to the emission shadow price.

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This paper develops a New Keynesian dynamic stochastic general equilibrium (DSDE) model to study Iran's economy. The model considers the dependence of Iran's economy to oil exports. Oil sector and oil export revenues have been modeled as a separate sector and one of the government budget resources, respectively. In this model, like in other New Keynesian DSGE models, firms face nominal rigidities and the intermediate-good sector is monopolistically competitive. Four shocks (productivity, oil revenues, money growth rate and government expenditure) have been introduced as the sources of volatility. The findings show that business cycle moments generated by the model and those of actual statistics from the economy are closely related. The model produces more volatile private investment and less volatile private consumption than non-oil output. Impulse response functions of shocks show that non-oil output increases in response to productivity, oil revenues, money growth rate and government expenditure shocks. Although non-oil output increases in response to government expenditures shocks, crowding- out effect of these expenditures causes output to decrease after some periods.