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Mohammad Reza Farzanegan

Researcher at University of Marburg

Publications -  128
Citations -  2947

Mohammad Reza Farzanegan is an academic researcher from University of Marburg. The author has contributed to research in topics: Sanctions & Panel data. The author has an hindex of 26, co-authored 111 publications receiving 2199 citations. Previous affiliations of Mohammad Reza Farzanegan include Dresden University of Technology & Utrecht University.

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The effects of oil price shocks on the Iranian economy

TL;DR: In this paper, the authors analyzed the dynamic relationship between oil price shocks and major macroeconomic variables in Iran by applying a VAR approach and found a strong positive relationship between positive oil price changes and industrial output growth.
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Pollution, shadow economy and corruption: Theory and evidence ☆

TL;DR: In this article, the authors study how the shadow economy affects pollution and how this effect depends on corruption levels in public administration, and they use panel data covering the period from 1999 to 2005 in more than 100 countries to test this theoretical prediction.
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International Tourism and Outbreak of Coronavirus (COVID-19): A Cross-Country Analysis

TL;DR: In this article, the authors examined the relationship between international tourism and COVID-19 cases and associated deaths in more than 90 nations and found that a 1% higher level of inbound and outbound tourism is associated with 1.2% and 1.4% higher levels of confirmed cases and death, respectively, controlling for other factors.
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Resource Curse and Power Balance: Evidence from Oil-Rich Countries

TL;DR: This paper examined the role of political fractionalization in understanding the resource curse in 30 oil-rich countries and found that the income effect of resource rents is moderated by the political power balance.
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Oil Revenue Shocks and Government Spending Behavior in Iran

TL;DR: In this article, the authors analyzed the dynamic effects of oil shocks on different categories of the Iranian government expenditures from 1959 to 2007, using impulse response functions (IRF) and variance decomposition analysis (VDC) techniques.