Economic Growth
Abolqasem Esnaashari Amiri; Asqar Abolhasani Histiani; Mohammad Reza Ranjbar Fallah; Bita Shaygani; seyed ghorban malizadeh kolagar
Abstract
Regarding the importance of the relationship between volume of liquidity and GDP in manufacturing sector policy making, using a time-varying parameter (TVP) regression model and Kalman filter approach, the present research studies the GDP's response to effective variables such as capital, labor force, ...
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Regarding the importance of the relationship between volume of liquidity and GDP in manufacturing sector policy making, using a time-varying parameter (TVP) regression model and Kalman filter approach, the present research studies the GDP's response to effective variables such as capital, labor force, and in particular liquidity volume during the period of 1978-2015. The results of estimating the regression model with time varying parameter and the study of the trend of the coefficients of explanatory variables over time show that these coefficients have not been constant over the period under study and have changed due to exogenous shocks such as revolution, war, oil price shocks, applied economic policies, structural changes, international political stances, and economic sanctions. By comparing the trend of changes in the GDP growth rate with changes in the rate of growth of liquidity, it can be said that the trend of changes in these two variables are not proportionate, showing that policy making in the monetary sector has not been efficient. Therefore, it is suggested that the central bank should have an appropriate operational independence and that the rate of liquidity growth vary proportionately with the rate of GDP growth.
OPEC
Abo Alghasem AsnaAshari; Kamran Nadri; Asghar Abolhasani; Nader Mehregan; Mohammad Reza Babaei
Volume 6, Issue 22 , January 2016, , Pages 102-85
Abstract
Like most of oil exporting countries, Iran’s economy is exposed to the government’s great share of economic activites, complicated monetary and economic policies and a meager activity in production section.Thus a shock in oil price has a significant effect on domestic production, inflation ...
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Like most of oil exporting countries, Iran’s economy is exposed to the government’s great share of economic activites, complicated monetary and economic policies and a meager activity in production section.Thus a shock in oil price has a significant effect on domestic production, inflation and money. On the proposed model of Qu and Perron (2007), the present study Investigates structural shocks of Iran’s economy stemed from exogenous oil price considering the variables of production, inflation and money as independent and endogenous variables during the period from March 1961 to February 2012. Accordingly, five structural shocks have been identified in September 1973, July 1979, May 1990, July 1994 and May 2006. The most considerable effect of oil price on production, inflation and money growth were in the first, first and fifth regimes respectively. Moreover, the longest period of oil price effects on production, inflation and money growth were in forth, second and fifth regimes respectively.
Abolghasem Esnaashari; Mohammad Hossein Pourkazemi; Asghar Abolhasani Hastiani; Ahmad Lotfi Mazraeshahi
Volume 3, Issue 12 , November 2013, , Pages 88-75
Abstract
The internal saving in a country, is the most important source for financing and economic growth. These savings are confronted with risk of a volatile rate of return to capital. The uncertainty in the rate of return on capital may lead to distorted economic decisions by the savers, consumers and investors. ...
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The internal saving in a country, is the most important source for financing and economic growth. These savings are confronted with risk of a volatile rate of return to capital. The uncertainty in the rate of return on capital may lead to distorted economic decisions by the savers, consumers and investors. Depending on the pattern of these behaviors we may observe deviations in the rate of economic growth. This study attempts to estimate the rate of economic growth with uncertainty in the rate of return on capital using standard Brownian motion and the optimized random control to compare it with the planned rate of economic growth. The findings indicate that; if the risk-aversion coefficient is less than one, the average long-term rate of economic growth will be less than the planned growth rate. Further, using the data on Iranian economy for the period 1974-2011, first, a dynamic model, based on SDE, was simulated for GDP by rate of growth %3.85, then, the relationship between capital return volatility (using the EGARCH model) and the rate of economic growth was analyzed. The results are indicative of a negative relationship between growth rate and the fluctuations in the rate of return on capital.
Asghar Abolhasani Hastiyani; Mohammad Hossein Pour Kazemi; Abolghaseme Asna Ashari Amiri; Mohammad Hossein EhsanFar
Volume 2, Issue 8 , December 2012, , Pages 94-83
Abstract
The purpose of this paper is to determine the optimal time paths of economic variables such as production, inflation, money stock and government expenditures, and also sensitivity analysis of these paths. For this aim, a deterministic optimal control model is used. In this model, a quadratic objective ...
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The purpose of this paper is to determine the optimal time paths of economic variables such as production, inflation, money stock and government expenditures, and also sensitivity analysis of these paths. For this aim, a deterministic optimal control model is used. In this model, a quadratic objective functional, due to the constraint of dynamic macroeconomic equations system, will be minimized. In this method, the squared deviations of variables from their steady state values are weighted. Then, optimal paths of control and state variables are calculated by using Mathematica software. Optimization results indicate that if optimal policies are chosen, mentioned variables will considerably have less fluctuations. According to results of survey, analyzing the sensitivity of the model to policy weight emphasizes on inverse relationship between weight imposed by economic policy makers on the target variable, and standard deviation of values ofthe optimal paths for that variable. Also, this paper shows that mathematical economic models and techniques can be used in order to solve the problems of growth, production and inflation.
