Showing 12 results for Ardl
Rahim Dallali Esfahani, Said Samadi, Mohammad Mahdi Mojahedi, Amir Jabbari, Reza Samadi Boroujeni,
Volume 3, Issue 7 (3-2012)
Abstract
This paper examines the effects of different variables on inflation in the monetary economics using endogenous growth models. So, different aspects of inflation formation were analyzed based on micro-foundations. We investigated the role of imported inflation, fiat money, expectations, monetary base and capital accumulation on inflation using an endogenous growth model. An ARDL approach was utilized to estimate the model for Iranian economy during 1979 -2008. The estimation results show that imported inflation affects the inflation through the exchange rate channel. Also, expectations, capital return and monetary base play an outstanding role in Iranian economy.
Ali Hussein Samadi, Sayed Mohamad Sayedi,
Volume 3, Issue 8 (6-2012)
Abstract
D’Alessandro’s (2010) model investigates the impact of total government spending on private consumption but according to Barro’s (1981) suggestion, the impact of two groups of government spending on private consumption can be studied separately. The fist group produces utility affecting services for household and the second group is as an input in the private production process. So in the present article, we use d’Alessandro’s (2010) framework -after some changes in household utility function and the production function- for estimating the separate effects of two groups of government spending on private consumption.
In the next step, the data for Iran (1959-2007) is considered and the estimation results show that the first group of government spending for household consumption in short run is Edgeworth complement and in long run is Edgeworth independent. While government spending in case of the second group has a positive relationship with household consumption both in long run and short run. Thus, this paper proposes particular attention to changes in the composition of government spending in favor of government consumption spending as an input (second group) rather than expenses affecting the utility of households.
Dr Hassan Tahsili,
Volume 4, Issue 13 (10-2013)
Abstract
In economic literature especially in international economic literature, the Harberger, Laursen and Metzler (HLM) effect is an important issue. According to HLM effect, deterioration in the terms of trade decreases GNP and then causes deterioration in the current account.
The main idea of this study is the examination of HLM effect in Economy of Iran. We use annual data of current account, terms of trade and GNP as relevant variables. In this paper ARDL approach was applied for period (1978 -2010).
The Banerjee, Dolado and Mastre and also Pessaran and shin cointegration test verified the equilibrium long run relation between our variables. In the other words the results of econometric estimation indicated a long run relationship between current account, terms of trade and GNP. According to these results, terms of trade and GNP have direct effects on current account.
Dr Ahmad Jafari Samimi, Saman Ghaderi, Salahaddin Ghaderi, Taha Ketabi,
Volume 4, Issue 13 (10-2013)
Abstract
The purpose of this study is to evaluate the impact of trade openness and economic globalization on employment. This study employs the Bounds test method and Autoregressive Distributed Lag(ARDL) model for Iranian economy during 1979-2009. Comparing with the other empirical studies, this study in addition to traditional index of trade liberalization as trade openness has been applied the new and more comprehensive economic globalization index as one dimension of the new KOF globalization index. This index includes the actual flows of trade such as trade, foreign direct investment and portfolio investment, and restrictions such as trade barriers and tariffs on actual flows. Also, the other control variables effective in employment such as GDP per capita, industrialization and government size has been considered. The results show a negative relationship between trade openness and employment but they show that the impact of economic globalization on employment is positive. Thus, it seems that the new economic globalization (KOF index) which is a broader comprehensive index is a better proxy of globalization.
Rasoul Naderi, Mohammad Hossein Pourkazemi, Saeed Farahanifard,
Volume 5, Issue 18 (12-2014)
Abstract
Public pricing of products is one of the most important economicalissues, since any changes in the pricing, affects both the welfare ofconsumers and quantity of goods and Services which are produced.
In this paper which is done for natural gas pricing in Iran, the purpose is giving a price that the government can consider it as a suitable choice for using in subsidies targeting project. These prices have two advantages: first, they try to maximum the social economical welfare (summation of producer and consumer surplus) second, this method solve the problem that the producer has in covering their costs (by marginal cost pricing) because of increasing returns to scale.
This paper deals with the optimal gas pricing in household sector in Iran by the Ramsey method of pricing.
In this regard we have used fuzzy regression (because of its accuracy and devoid of classic regression restrictions) and the data from 1977 to 2011 for estimating production function and returns to scale in natural gas production side. Also for estimating demand function and elasticity we have used ARDL method and data from 1350 to 1389. The results shows that the current prices aren’t optimum and despite implementation of subsidies targeting project the prices are low.
Parviz Rostamzadeh, Ruhollah Shahnazi, Mogammad Sadeq Neisani,
Volume 9, Issue 32 (7-2018)
Abstract
Credit risk is due to that recipients of the facility, deliberately or involuntarily, don’t have ability to repay their debts to the banking system that this risk is critical in Iran compared to the global. Therefore, the purpose of this study was to investigate the effect of macroeconomic variables on credit risk of Iranian banking industry during the 2006-2016 years and also simulation and prediction of credit risk situation in 2017 under different stress scenarios, bu using stress test. Data used in this research is time series and seasonal. In order to implement a stress test and achieve the purpose of the research, first, the effective macroeconomic variables and the rate of each one's influence on the credit risk are determined using Auto-Regressive Distributed Lags (ARDL). Accordingly, the inflation rate, exchange rate, unemployment rate and housing index in total have a positive effect and variables GDP, the interest rate of bank facilities and the volume of concessional facilities to both government and non-governmental sectors, have a negative impact on credit risk. In the following, using the stress test, simulation of critical situations and prediction of credit risk values in 2017. This was done in three scenarios with titles of mild stress, extreme stress, and hyperstress that in each scenario, different shocks are applied to the variables affecting credit risk. The results of the stress test and scenarios show that the compulsory reduction of interest rates on bank facilities in all three scenarios, initially in the second quarter of 2017, leads to a reduction in credit risk, but rising exchange rates, rising inflation, falling economic growth, as well as accumulation of past values of credit risk, has led to a rapid increase in credit risk and also in scenarios with more severs shocks, has led to catastrophic increase of credit risk in later periods in all scenarios.
Mohammad Sarrafi Zanjani, Nader Mehregan,
Volume 9, Issue 33 (10-2018)
Abstract
Studying currency shocks impact on the stock market could be beneficial regarding to exchange rate fluctuations caused by various exchange policies in recent years. Therefore symmetrical or asymmetrical impacts of negative and positive dollar shockwaves in the market on indexes of chemical and basic metals industry are under investigation by weekly data collected since 2006 up to 2016 as these two industries have the most non-oil exports of Iran. First existence of long-term equilibrium relationship was examined by Pesaran Bound test and confirmed. Afterwards in addition to admitting asymmetric effect of positive and negative foreign exchange shocks on the indexes using WALD test, based on the results of the main model of the research which is the Nonlinear Autoregressive Distributed Lag (NARDL), effects of increasing in dollar rate on both indexes are positive and meaningful and the effect of its decreasing is meaningless. In addition the extracted coefficients indicates deeper effects of free dollar rate on the chemical index in comparison with index of the basic metals. OPEC crude oil, which is the control variable considered in this article has a direct and significant effects on both indicators on the short and long term.
Mohammad Reza Monjazeb, Leyla Dehgani,
Volume 10, Issue 37 (10-2019)
Abstract
Life insurance is one of the most important economic instruments. Considering the important role of life insurance, this study investigates the life insurance capability in Iran. For this purpose, the Panel ARDL model has been used. Then, for the period 1990-2016, suitable models for the first group (Iran with the leading countries in the industry), the second group (Iran with the countries that were close to Iran in premiums) and the group Third (countries in two groups) were estimated. Based on models, the fitted value of life insurance premiums per capita in Iran is analyzed and compared as the potential or optimal level in each groups. The results showed that in each group, the actual life insurance premiums per capita in Iran are significantly lower than the optimal level. The capacity level of life insurance in Iran compared with first group is 46%, and compared with second group is about 42% and compared with third group is about 44%. The results indicate that Life insurance in our country has a high potential, and a large part of the insurance capacity in our country has not yet been fully acquired.
Hoda Zobeiri, Mani Motameni,
Volume 11, Issue 40 (6-2020)
Abstract
Due to pension fund problems in Iran, the multi-pillar social insurance system has been released in 2017. According to this, the first pillar is regarding to low income groups and finance through the public fund. The second pillar is defined benefit and finance pay as you go. The third pillar is defined contribution and fully funded finance. Contributions are transferred to the individual account. The pension fund directors supposed to investments the accounts and to return the Contribution fund and its returns in retirement time. The main issue is that the old age pensions are not guaranteed in this plan and face with financial risk and inflation. Due to high inflation of Iran’s economy, the main challenge of third pillar plan is the inflation. This paper is main to inflation hedging in defined contribution pension plan by Investing in Tehran Stock-Exchange. By using NARDL model and 133 monthly data up to 2020 the results show that TSE index can hedge the inflation.
Samaneh Mohamadkhani, Mohammad Hassan Fotros, Mohamad Mowlaei,
Volume 11, Issue 41 (10-2020)
Abstract
The importance of non-oil exports and their role in the economic growth and development of countries has always been discuss as an important issue in the economy. Meanwhile, the role of high-tech exports in the growth of developed countries has been significant and developing countries, in order to succeed in the growth of production and export of their industrial goods under the constraint of globalization, have no choice but to increase production and export of high-tech products, use more advanced production techniques and save on production costs. This is especially true in the case of Iran, which has always faced the problem of macroeconomic indicators due to its dependence on oil revenues and the destructive impact of oil revenues on political and economic issues, especially the issue of oil sanctions. In this regard, the aim of the present study was to investigate the factors affecting the export of high-tech products based on the four-digit ISIC codes in Iran in the period 1397-1375 using the ARDL Panel method.
The results of the study show that the costs of domestic research and development, foreign accumulation of research and development and commercialization in the short and long term, and the degree of openness of the economy and human capital in the long run have a positive and significant effect on high-tech exports in Iran. Also, the exchange rate in the short term has no meaningless effect and in the long run has no negative and significant effect, and inventions in the short and long term have no significant effect on the export of these products.
Roozbeh Balounejad Nouri, Amirali Farhang,
Volume 12, Issue 45 (11-2021)
Abstract
This paper aims at investigating the asymmetric impact of long-term and short-term macroeconomic variables on the capital market prices of Iran.Macroeconomic variables are inflation, exchange rate, non-oil trade balance and crude oil prices. In order to investigate these relationships, the quantile autoregressive distributed lag (QARDL) method introduced by Cho et al. (2015) has been used. For this purpose, monthly data related to Iran's economy in the period 2008: M9-2021: M6, have been used. Findings show that in the short run, the macro variables used except the trade balance and oil prices have an asymmetric effect on the capital market price index. In the long run, all variables except oil price have an asymmetric effect on the stock price index and the effect of oil price is symmetrical and significant. This conclusion shows that in situations where the stock market price index is in a state of prosperity, recession or normal, except for oil prices, the effect of research variables on this index is not the same and even this effect is different in the short and long term.
Mr Hossein Hafezi, Mr Siab Mamipour,
Volume 13, Issue 49 (12-2023)
Abstract
Climate change has emerged as a significant global challenge, with its impact increasing rapidly in recent decades. The consumption of fossil fuels, which leads to the emission of greenhouse gases like CO2, is a major contributor to climate change. Iran, ranked as the sixth most polluted country in the world, emitted a staggering 745 million tons of CO2 in 2020. Notably, the power plants sector in Iran accounts for roughly 30% of its total carbon emissions. As a result, the main objective of this paper is to engage in long-term planning for electricity supply and demand in Iran, aiming to reduce carbon emissions in line with the country's obligations under the Paris Agreement. To achieve this goal, we utilized the MESSAGE model to design an electricity generation system that takes into account the potential of renewable sources from 2021 to 2050. Additionally, the ARDL model was employed to estimate electricity demand under various scenarios, including subsidy reforms. These predictions were then incorporated into the long-term planning process for Iran's electricity supply system. The findings of the ARDL model highlight that the subsidy reform strategy leads to a 10% decrease in electricity demand throughout the planning period, indicating effective control over the demand side. On the other hand, the MESSAGE model's findings reveal that Iran's ability to fulfill its responsibilities under the Paris Agreement heavily relies on the utilization of renewable potentials across different regions in power supply planning. While carbon dioxide emissions in Iran's electrical sector are not expected to be reduced in the near future (2020 to 2030). However, in the long term (2040 to 2050), significant reductions in CO2 emissions can be achieved. According to the findings, if the electricity system in Iran is designed in accordance with a chosen scenario that incorporates green technologies and subsidy reforms, the share of renewable technologies can increase from 6% in 2020 to 15%, 50%, and 78% in 2030, 2040, and 2050, respectively. Consequently, carbon emissions in the power generation sector can be reduced by 20% and 54% in 2040 and 2050, respectively, compared to 2020 levels.
