The Impact of Inflation in Iran’ s Trade Partners on Inflation Uncertainty in Iran: GARCH Models Approach

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Fathizadeh Hossein; Piraiee Khosrow; Asadi Ehsan

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF APPLIED ECONOMICS Year:2019 | Volume:9 | Issue:29 Page(s): 77-94

Download Full-Text

Persian Verion

View:

330

Download:

Cites:

Information Journal Paper

Title

The Impact of Inflation in Iran’ s Trade Partners on Inflation Uncertainty in Iran: GARCH Models Approach

Author(s)

Fathizadeh Hossein | Piraiee Khosrow | Asadi Ehsan | Issue Writer Certificate

Keywords

Imported inflation

Inflation uncertainty

GARCH models

Trade partners

Sanction

Abstract

In societies that have international trade interactions, inflation and Inflation uncertainty can be affected by external factors such as exchange rate volatility and inflation in trading partners. These effects are most important in the Sanctioned countries with high fluctuations. The aim of this study is to investigate the impact of inflation in Iran’ s top trading partners (i. e. United Arabic Emirates, China, Germany, Turkey and South Korea, based on the latest statistics provided by the Islamic Republic of Iran Customs Administration (IRICA)) on Inflation uncertainty in Iran during the period from 1981 to 2018. In order to measure Inflation uncertainty in Iran, conditional variance of residuals was used in the equation of inflation rate. Using Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models, conditional variance was estimated, and the Exponential GARCH (EGARCH) model was chosen as the most efficient one based on prediction error statistics. Finally, the causality relationship between Iran and its trading partners’ inflation and conditional variance of inflation in Iran was investigated using the Granger causality test. The results show that there is a unilateral causality relationship from Iran’ s inflation to Inflation uncertainty. Furthermore, inflation rates of China and Turkey were identified as Granger causality in Iran’ s Inflation uncertainty.

Cites

No record.

References

No record.

Cite

APA: Copy

Fathizadeh, Hossein, Piraiee, Khosrow, & Asadi, Ehsan. (2019). The Impact of Inflation in Iran’ s Trade Partners on Inflation Uncertainty in Iran: GARCH Models Approach. IRANIAN JOURNAL OF APPLIED ECONOMICS, 9(29 ), 77-94. SID. https://sid.ir/paper/951971/en

Vancouver: Copy

Fathizadeh Hossein, Piraiee Khosrow, Asadi Ehsan. The Impact of Inflation in Iran’ s Trade Partners on Inflation Uncertainty in Iran: GARCH Models Approach. IRANIAN JOURNAL OF APPLIED ECONOMICS[Internet]. 2019;9(29 ):77-94. Available from: https://sid.ir/paper/951971/en

IEEE: Copy

Hossein Fathizadeh, Khosrow Piraiee, and Ehsan Asadi, “The Impact of Inflation in Iran’ s Trade Partners on Inflation Uncertainty in Iran: GARCH Models Approach,” IRANIAN JOURNAL OF APPLIED ECONOMICS, vol. 9, no. 29 , pp. 77–94, 2019, [Online]. Available: https://sid.ir/paper/951971/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops