---

Industrial energy demand analysis has always been one of the leading fields of research in economics. This issue is more critical in the case of developing countries especially those with transition experiences. In this paper, third generation of dynamic factor demand models for the Iranian manufacturing industries is estimated to analyze the speed of adjustment in factor demands. Data which is used in this study is an Iranian industrial plant based on two-digit international classification code during 1374-1386. The translog functional form is used as model specification. The main findings are the complementary relation between energy carriers, electricity, and capital and low adjustment speed of capital stock. In Iranian manufacturing industries, demand for energy carriers and capital, with expansion of manufacturing activities and technological change has increased, while the demand for labor has decreased.

---

This study examines the social cost of banking industry in Iran (17 governmental and private banks) in an unbalanced panel data model. To conduct estimations, two different approaches were taken: 1- Welfare Triangle approach 2- Libenstein’s approach. In the former, welfare triangle is measured assuming banking industry operating in full technical efficiency however, the latter includes both the effect of welfare triangle and the cost of likely technical X-inefficiency. The result of the first method showed that the social cost of banks in Iran is little, amounting to be less than 1 percent of GDP in 2008 while within the same period, the second method resulted in 4 percent of GDP, as the social cost of banks in Iran.

---

The estimation of output supply and inputs demand in farming sector with the assumption of full economic efficiency may result in false policy decisions. This article investigates the effects of irrigated wheat economic inefficiency on output supply and inputs demand in the period 2001-2009. After estimating the economic inefficiency by the use of production and cost stochastic models, the output supply and inputs demand of irrigated wheat are obtained through seemingly unrelated regression method. Results show that technical, allocative and economic inefficiency in irrigated wheat production in Iran are 21, 23 and 38 percent respectively. Moreover, the slope of output supply function is strongly affected by the related economic inefficiency in profit function and inefficiency changes input’s demand coefficients. Results also show that technical inefficiency has a greater effect on inputs demand compared to the allocative inefficiency.

---

  Storing the electrical energy in large scale is impossible. So, it is necessary to identify the factors affecting the electricity demand. Researchers have used different methods to forecast the future demand of electricity, among them intelligent methods and fuzzy based methods are more popular. Since ANFIS structure is based on researcher’s experience about phenomenon, the created structure may not have the best result. Therefore, we used PSO-ANFIS structure.

  In this paper long term electricity demand is forecasted until the year 2025 by hybrid PSO-ANFIS algorithm. The results confirm the high power of the Adaptive Neural based Fuzzy Inference System in forecasting the electricity demand. Results also indicate that the forecasted electricity demand will be 401 billion KWh in 2025. The prediction performance of the proposed technique is more accurate than the ARIMA model.

---

  Today the quantitative assessment of economic and social impacts of petroleum products supply constraints is one of the main policy issues in Iran. This issue arises from the fact that importing gasoline, gasoil and liquefied petroleum gas (LPG) is restricted by international sanctions. In this paper, we showed that a demand driven Social Accounting Matrix (SAM) is not a suitable tool for answering the above question. So, a modified SAM, known as mixed supply driven SAM is suggested. For this purpose the energy SAM of 2006 is used.

  The overall results reveal that: 1) Petroleum products supply constraints have the most impacts on crude oil and natural gas, retail and wholesale, chemical and agricultural sectors.2) Operating surplus has the most reduction among the other production factors. Results also showed that the fall of urban income as a consequence of supply constraints is more than rural labor either relatively or absolutely.

---

Simple sum monetary aggregation approach that based upon perfect substitution of monetary components assumption is inconsistent with microeconomics theories. In this research, using quarterly data of Iran over period 1370:1–1388:1, we first calculate monetary aggregation based on divisia index for both measures of money (M1, M2) and then estimate the demand functions for money for divisia and simple sum monetary aggregations separately. The results show that the adjustment speed of divisia aggregations is more than that of simple sum aggregations and the demand functions for money that construct by divisia aggregations, are more stable.

---

IN ACCORDANCE TO DEVELOPMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY IN IRAN, ELECTRONIC BANKING HAS BEEN DEVELOPED IN RECENT DECADE.‌A MEANINGFUL TRANSFORMATION HAS BEEN PLACED IN THE STYLE OF EXISTING BANKING SYSTEM SERVICES, BY SIGNIFICANT INCREASE IN THE USE OF ELECTRONIC BANKING TOOLS IN TEN YEARS. THE REFLECTION OF THIS PHENOMEN IS CLEAR IN THE BEHAVIOR OF PEOPLE AND BANKING SYSTEM WHO CARE ABOUT CASH, MONEY DEMAND PREFRENCES AND VARIATION IN THE COMPOSITION OF BANK RESOURCES.THEREFORE EFFECTIVENESS OF E-BANKING ON VARIABLES SUCH AS MONEY DEMAND IS A TOPIC WHICH APPEARS ESSENTIAL TO STUDY. DEMAND MONEY FUNCTION IS ONE OF THE MAIN IMPORTANT PARTS OF MONETARY SYSTEM AND PLAY CRUCIAL ROLE IN TRANSMISSION OF MONETARY POLICY TO THE REAL ECONOMIC SECTION. THE IMPACT OF THIS ON OTHER COMPONENT OF ECONOMIC SYSTEM, BOTH MONETARY AND NON-MONETARY IS INEVITABLE. IN OTHER WORDS, TO ANALYZE MONETARY ISSUES AND SOLVING THE PROBLEMS, IT IS NECESSARY TO UNDERSTAND THE NATURE OF MONEY DEMAND. IN THIS PAPER, THE DEMAND FUNCTION HAS BEEN ESTIMATED BY USING AR METHOD AND ENTERING EXOGENOUS VARIABLES IN MARKOV SWITCHING VECTOR AUTO REGRESSION MODEL. FOR MODELING OF MONEY DEMAND FUNCTION, SEASONAL DATA BETWEEN 2002‌ TO 2011 HAVE BEEN USED. ALSO THE EFFECT OF TRANSACTION VOLUME THROUGH POINT OF SALE(POS) AND AUTOMATIC TELLER MACHINE (ATM) AS EN-BANKING INDEX HAS BEEN DETERMINED. ACCORDING TO STABILITY TESTS, ESTIMATING THE MONEY DEMAND WICHE CONTAIN EN-BANKING VARIABLES IS UNSTABLE. THERFOR, IT CAN BE STATED THAT THE RESULTS OF FISCAL AND MONETARY POLICIES OF THE CENTRAL BANK AND THE GOVERNMENT TO ACHIEVE ITS GOALS DUE TO UNCERTAIN DEMAND MONEY POSITION, SOMETIMES IS REVERSED.

---

 

The specification of money demand function is one of the most important and disputable subjects in economics. With regard to its importance, many of economists have represented several theorizes about money demand. The Sidrauski monetary model is an interesting theory of money demand. Sidrauski extended Ramsey model with regard real balance of money which in the Sidrauski model the utility function involves both consumption and money. Application of Sidrauski model can help to extend macroeconomics with micro foundations in Iran and prepares new scopes for researchers. The main aim of this paper is to estimate the Sidrauski monetary model for Iranian economy over the period of 1979 -2011. For this purpose, the Engle – Granger, ARDL and Johansen- Juselius approaches have been used for estimation of long run relationship of money demand. The empirical results of econometric estimation of co-integration vector indicated a long run relationship between per capita money demand, per capita consumption, and inflation rate, rate of interest, exchange rate, per capita income, and stock exchange price index. Our results showed that per capita consumption and per capita income have positive and significant effect on per capita money demand. Whereas inflation rate, rate of interest, exchange rate and stock exchange price index have negative and significant effect on per capita money demand.

  

---

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 changes is modeled, therefore the income and price elasticity are estimated more accurately. The results show that the UEDT has the stochastic nature. And UEDT has a great impact on industrial energy demand during 1975-2012. So, the electricity has not been used efficiently in this sector. In the short run the estimation of the income and price elasticity are 0.42 and 0.11 respectively. The value of the cross-price elasticity of electricity demand is estimated about 0.06. It shows that natural gas substitute electricity in industrial sector, however it is small.

---

This paper seeks to investigate and analyze the money demand function and its Engle curve in Iran. Money demand function and its Engle curve have been estimated through EASI demand system by making use of monthly data 1995:04-2007:03. The investigation of money demand function shows that monetary elements are weak substitutions of each other. Thus, some policy recommendation is provided on the basis of estimated elasticity (Income, Price, cross Price, and Morishima). Moreover, the investigation of Engle curve reflects that by the increase of income, first, individuals extract their money from demand deposit. Secondly, investment in timed deposits increases and thirdly, no change is observed in the amount of money being held as currency and travel checks.

---

In many Developing Countries liberalization of international trade has been accompanied by demand for skilled labour and inequalityof wages.Thisphenomenon seems to be inconsistant with the Stopler- Samuelson Theorem.Studies in this respect show that imported high –tech capital andintermediate goods are skill-based, thus increasing the relative demand for skilled labour.
In such circumstances, identifying the impact of such goods upon the demand for skilled labour in Iran is of great importance.
In this paper, by using Translog cost function and the Method of Seemingly Unrelated Regression, short and long run demand function for the period of 1977- 2014 in Iran has been estimated. Althoug the short and long –run results arecompatible with the theortical expections, the investment on domestic research and development regarding the employment of skilled labour has been effective only in the long-run and not the short –run.