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This paper focuses on the role of uncertainty about the number of surviving children. The survey discusses the effects of declining mortality rates on fertility, education and economic growth. The construction of the paper is an OLG model in which individuals make choices about fertility decision over their lifetimes subject to uncertainty about the immortality. The simulation of model using actual changes reveals the fact that if the uncertainty about child survival enters to growth model, the population becomes an inverted u-shaped function of income per capita. As the mortality rate and thus uncertainty falls, the precautionary demand for children decreases. Furthermore, lower mortality encourages investment in children’s education .Also the calibrated version of the model using realistic estimates demonstrates that at low levels of income, population growth rises leading to Malthusian steady-state equilibrium, whereas at high levels of income population growth declines leading to a sustained growth steady-state equilibrium.

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The Phillips curve usually has been estimated in a linear framework which implies a stable constant relationship between inflation and unemployment. Some of the studies claim that the slope of the Phillips curve is a function of macroeconomic conditions and also the relationship is asymmetric. This article deals with a smooth transition regression model for relationship between inflation and unemployment for Iran, during the period of 1971 -2007. Smooth transition regression model is a non linear time series regression model which could be considered as developed form of regime switching regression model. Results show that there is a negative and nonlinear relationship between inflation and unemployment in short-term. Regarding this result it's highly important for policy makers to be able to make a relationship between these two variables

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Intermediate goods are another produced factor of production, like capital. Considering intermediate goods in production function makes multiplier be even larger than the one. In this paper, based on the approach of Jones (2007,2010) We computed multipliers by intermediate goods. For this purpose, we used Input – Output table of Statistical Center of Iran (base year: 2001). Finding show that 10.6% of total products used in inter- sector transaction and 4.28% used in intera-sector transaction. Therefore, the domestic multiplier is 1.383 and import multiplier is 2.117 and total multiplier is 2.929.These results indicate increase in the multiplier. The industrial sector and mining sector produce the most and the lowest share of domestic intermediate goods, respectively. The highest and lowest shares of imported intermediate goods between economic sectors are in industrial sector and water sector, respectively

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This study investigates the effects of terms of trade shocks and international reserves on the real effective exchange rate. For this purpose is used panel data technique and data related to 20 countries for 1980- 2008 period. Estimation results show that international reserves have buffer effect in terms of trade shocks and cause terms of trade shocks have less effect on real exchange rate. Of course this result confirms in developing countries, but don’t confirm in developed countries. In addition according to results, reserve effect in reduction terms of trade shocks effect in oil exporting countries is more than other countries. Also, according to estimations in this study, increase in financial development reduces buffer role of international reserves.

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This study tries to examine the way housing residential investment in Iran's urban area is influenced by the shocks of oil revenues, and for that, time series data spanning the period 1991:1-2007:4 are deployed in a Dynamic Stochastic General Equilibrium (DSGE) model including households, firms producing new residential houses, and the production of other economic firms as well as oil sector. The model is based on some simplify assumptions suitable to Iran's economy characteristics as: Iran as a small economy regarding capital flows, Oil Exports and goods imports and no price stickiness in housing sector. Moreover, the allocation of resources in the economy is determined by a central planning. The Model's solution and simulation is processed through using DYNARE as a subset of MATLAB software package. The results showed that the incidence of extreme volatility in the short ‌ behavior of housing residential investment in Iran's urban area, due to shocks of oil revenues, shocks was not Persistent and quickly disappeared. This implies that Iran's economy is suffering from Dutch Disease.

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Convergence hypothesis includes two types of beta and sigma. In this study, we examine convergence hypothesis among Iran’s provinces and discuss the effect of internal net migration in that context since 2000 to 2007. The results indicate that poor provinces grow faster than rich ones and there is beta convergence in Iran. About sigma convergence, we found that the dispersion of GDP per capita increase among these provinces over the years. Immigration is one of the factors that could influence economic growth of provinces and convergence among them. The results show a direct relationship between net immigration and per capita GDP growth of provinces. When the variable of net migration is included into convergence equation, it increases beta coefficient. So, net migration has a negative effect on convergence. Immigration flows more from the poor provinces to rich provinces and increases the gap among them.

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    The number of factors affecting total factor productivity has been increasing far from those which considered in growth models. So, institutional factors have been attracting strong attention of researchers. This paper aims at investigating the effects of these institutional factors together with traditional factors on TFP growth during 1971-2007.

  For this purpose, we present a State-Space model. Using this approach, TFP has been regarded as a latent variable and in the state equation, we introduced some exogenous variables. Some endogenous variables which were mainly measures of institutional factors have been specified as proxies. Our result show that the introduced measures of institutions such as governance(political stability and accountability) institutions and degree of government intervention together with an older and known institutional factors, such as macroeconomic instability, have significant effects on TFP growth. In addition, the residuals from state-space model (either deterministic or stochastic) were different from the residuals of other models.

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    This study aims at determining the optimal environmental tax policy in the context of a dynamic model. For this purpose, clean technology diffusion was added to the AK growth model and the theoretical model has been generalized to the open economy. The main feature of the economy is creating pollution in the process of economic growth and its negative impact on social welfare. The diffusion of clean technology reduces pollution emission and has a positive effect on environmental quality and social welfare.

  The Hamiltonian solution of the model indicates that the steady state growth rate and optimal tax pollution is affected by the consumer preference toward consumption and environmental quality, pollution elasticity with respect to production, clean technology diffusion, foreign growth rate, inverse elasticity of intertemporal substitution , depreciation rate of capital and trade parameters.

  The results show that the optimal tax rate in Iranian economy is about 15 percent. Furthermore, sensitivity analysis shows that the emission elasticity of pollution subject to the production and environmental preference parameters have larger impacts on optimal tax rate than foreign growth rate and trade parameters.

 

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  Oil revenues play a significant role in the government budget in Iran and have also an important impact on GDP. This study aims at providing a practical solution for the question of how oil revenues should be managed. In this regard, a Computable General Equilibrium (CGE) model has developed to examine the direct effect of distribution of oil revenues on GDP in both static and dynamic approaches .

  The results of static model show that the direct distribution of oil revenues to households has a negative effect on the government expenditures and therefore decrease the GDP . The dynamic model allows the conversion of savings into investment and capital formation. So the results of running this model show the positive effect of direct distribution of oil revenues on GDP and also the negative effect of this policy on the government current spending. Therefore, the results confirm that direct distribution of oil revenues is an effective policy in reducing the dependence of government on oil revenues and also in relying more on people and the tax revenues .

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The magnitude of economic growth depends on the growth and investment in key economic sectors. Thus, one important goal of policy makers and economic planners in any society is to identify key economic sectors. This paper aims at identifying these sectors in Iranian economy using stochastic input-output analysis. Stochastic analysis is used to investigate how the inherent imprecision affects the concomitant key sector analysis in case of utilizing aggregated data. The analysis is based on Iranian input-output table for the year 2001, using distance estimation and Monte Carlo simulation. Results of the non-stochastic approach indicate that among 25 economic sectors in aggregated input-output table, six sector-groups are the key sectors while, in non-aggregated input-output table with 99 sectors, 13 sector-groups can be identified as key sectors. Finally the suggestion is that to identify key economic sectors the non-aggregated input-output table should be used.

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The concept of “Innovation” has changed considerably in recent years. According to new theories, the innovation emerges in a system of interrelated elements and determinants during which the idea changes to a commercialized output or process. The literature on the innovation has concentrated mainly on various aspects of innovation chain separately. In this paper we tried to investigate the general effects of the whole elements of the innovation chain simultaneously. These elements are: R&D expenditures, physical capital formation, human capital and patent filling (residence and non-residence). We utilized multivariable time-series methods including cointegration and vector error correction model (VECM) to assess the long-run effects of innovation elements on total factor productivity in Iran. Results show that excluding the human capital variable, other elements of innovation chain have positive effects on TFP among them, residence and non-residence patent filling having the normalized long-run coefficients of 0.58 and 0.48 respectively, are the most important factors affecting TFP in Iran.

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Unobservable productivity shocks cause selection and simultaneity problems in firm’s decisions and these problems cause estimators such as ordinary least squares, have biased estimation for coefficients of production function inputs. In this study, data of five automaker companies in the period of 1383-1387 have been used and production function of car industry have been estimated by ordinary least squares, fixed effects, random effects, Olly and Pakes (1996) and Levinsohn and Petrin (2003a) approaches. The results show that fixed effects and Levinsohn and Petrin (2003a) approaches can’t be appropriate for the production function estimation of car industry. In other words, reaction of automaker companies to productivity shocks will not be done through adjustment in labor, capital and energy demands and there is no significant correlation between inputs adjustment and productivity shocks in car industry. But estimated coefficients of energy and capital in semiparametric, random effects and ordinary least squares approaches show that estimated coefficients of energy and capital in random effects and ordinary least squares approaches are upwardly and downwardly biased, respectively. These results are perfectly consistent with the viewpoint of Olly and Pakes (1996) about bias of traditional estimators and show that automaker companies, in response to the productivity shock, adjust their investment level. In addition based on estimation of semiparametric approach, output elasticity of capital and energy will be respectively 0.82 and 0.64.

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Transportation has been one of the human primary needs and it has been found a wider range with the economic and social development, today it’s considered as a symbol of civilization. It is one of the infrastructure sections in every society that, it not only influences on the development process but also will be changed during development. So, this study investigated the effect of transportation infrastructure on economic growth in some of Iran's provinces by using of panel data model and data from 2000 to 2011. The results indicate that transportation infrastructure as a variable had a positive effect on economic growth. Moreover, provinces that had more populations could help the promotion of the economic growth by changing the underlying structures such as the transportation capacity and the quality of the transportation systems.

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The main objective of this study is to investigate the effects of oil shocks on GDP, prices level, money and exchange rates in Iran by using the structural vector error correction (SVEC) approach model covering the period 1980Q2-2010Q1. The findings of this study reveal that positive shock in oil real price has significant and positive effect on the real GDP in the short, medium and long. The impact of oil price shocks on domestic prices in the short, medium and long term is negative and significant, such as creating a positive shock to the real price of crude oil, reduce the domestic price. In addition, a positive shock to the real price of crude oil has the negative effect of the exchange rate in the short, medium and long term. However, the impact of oil price shock on the real exchange rate is permanent. Imports also will increase, due to the increase in wealth and demand for intermediate products. On the other hand, a positive shock to the real residual money in the short run cause to immediate increases in real out put.

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Symmetry or asymmetry of the business cycle is an important issue in order to select the behavior patterns and prediction of macroeconomic fluctuations. Factors such as oil prices, the financial crisis, uncertainty, the delay on learning, etc., Can cause lack of symmetry in the cycle. Decomposition of the business cycle by wavelet transform, which is strong instrument for processing data, and reviews of the presence or absence of symmetry at each decomposed level, will allow to obtain more information about different frequencies of business cycle. This helps policy makers to adopt appropriate counter-cyclical policies. Wavelet analysis enabled us to investigate symmetry of high and low frequency components of seasonal GDP during 1989-2011. Using Wavelet Symlet was observed, which at least in the low-frequency component, there is asymmetry. Another advantage of this study is selecting model for prediction of each decomposed level separately. This would reduce forecast error.

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The fluctuations in the oil price with uncertainty, as an exogenous variable, is the most important factor affecting the fluctuations in the GDP of the countries especially OPEC. This study examines the effect of oil price uncertainty on the Iran’s GDP growth using the seasonal data for the period 1988(1)-2011(4). The model used in this study is the asymmetric VARMA, MVGARCH-M and the estimated method is quasi maximum likelihood (QML). The results indicated that there is a negative and significant relationship between oil price and economic growth over the period. Furthermore, the results show that the conditional variance-covariance process underlying output growth and change in oil price exhibits non-diagonality and asymmetry.

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In this study, the electrical energy consumption in Tehran before reduction subsidies and after targeting subsidies was examined with using a dataset collected from household subscribers Tehran Electricity Distribution Company from August 2000 to November 2012. After review and analysis values, a model was proposed for predicting power consumption. The proposed model was a combination of trigonometric coefficients and power factors. The best values were obtained by using a genetic algorithm.
Procedure of electrical energy consumption in Tehran after Implementation of subsidies reduction plan was compared with the predicted model of electrical energy consumption in Tehran before Implementation that plan. The results indicated that implementation of subsidies reduction plan reduced electrical consumption growth rates and also a little reduced consumption rate. The other results of this study contain consumption patterns in order to manage the future consumption level of electrical consumers in Tehran. Also the results showed that, because demand for electricity is inelastic to price and income in the short time, as a result price policies cannot be effective in controlling the electricity demand, then should use non-price and intensive policies to reduce the consumption of electricity.

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The main objective of this study is to identify factors affecting labor force participation rate of economic and spatial relationships of provinces in Iran. For this purpose, Moran statisticsas univariate and spatial regression (spatial lag model) were used based ondata from the 2011. The results of Moran statisticsas univariate and spatial regression showed that Iran states are cluster status about labor economic participation. Also, the results of spatial lag regression showed that variables such as spatial lag of participation rate, industry's share of total employment, Gini coefficient, dependency ratio and the share of private sector employmentin the states have positive and significant effect on economic participation rate. With respect results, we proposed increasing financial in centives in the labor market, delegating tasksto the private sector and industrial development to create value-added.

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Extension informal and unorganized money and credit markets in Iran, is much broader than the official money markets. This problem causes a large difference between formal and informal money market loans interest rate in Iran. The large size of the informal market liquidity that can’t be guided by the monetary policies of central bank's and fiscal policies could help to increase the inflation rate in the country.
In this paper, we use the AHP method for to explore this topic that fits with the existing monetary and financial institutions, which sector is more appropriate for investment and targeted liquidity existing in society, in order to reduce inflation and stimulate growth in the industry. The results revealed the stock exchange is the best financial and investments institutions in order to reduce the inflation that caused by the high liquidity of the present.

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Fiscal decentralization that is considered a transfer of responsibilities that associated with accountability to sub – national governments, increases efficiency and providing better access to public goods in the Economy. According to the five-year development plans of Iran creating and allocating structure for provincial budgeting, fiscal decentralization generally is moving in the costs of its Provinces in order to give more responsibility to the provincial development projects. The aim of this study is an investigation of effect for partial fiscal decentralization on regional economic growth of Iran. Fiscal decentralization index is proportion of provincial's capital assets to government's capital assets, So this researches the effects of decentralization on economic growth in the framework of Solow's growth model. That the results based on data from 30 provinces between 2000 and 2007 on the panel data estimation, shows partial fiscal decentralization which has a non-linear relationship with the growth (convex shape) and partial fiscal decentralization Indicts the Optimal degree in growth of regional economy in Iran.