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.
Mohammad Reza Babaei Semiromi; Minoo Nazifi Naeini; Sahar Abbaspour
Volume 4, Issue 14 , May 2014, , Pages 130-113
Abstract
Tourism has a great impact on the economic and social activities and understanding these relationships is useful for a strong contribution to the interaction between sustainable development and tourism. This study investigated the status of tourism in Iran, and then Iranian tourism demand model using ...
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Tourism has a great impact on the economic and social activities and understanding these relationships is useful for a strong contribution to the interaction between sustainable development and tourism. This study investigated the status of tourism in Iran, and then Iranian tourism demand model using neural networks method is studied. In the model input parameters include the number of incoming tourism during 1980 to 2011, the foreign exchange earned from tourism over these years and a dummy variable to investigate the effect of war on tourism demand. The results show that exchange rate is the most important and war is the less important variables in our model. It insists on the need of development plan in this industry.
