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In oil-abundant countries, oil revenues, due to various reasons such as mismanagement, can influence the economic and social conditions and hinder development. This paper examines the relationship between oil revenues and social capital in Iran during 1976-2007. To do this, the Autoregressive Distributed Lags (ARDL) approach and bound testing approach for co-integration are used to analyze data and estimate the model. The results indicate that oil revenues as an indicator for abundance of the natural resources have significant and negative influence on social capital. In addition, GDP per capita has positive impact on social capital in Iran.  

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Iran’s economy is vulnerable to fluctuations in oil price. This study examines the impact of oil shocks on economic growth using Vector Auto-Regressive (VAR) method. The Mork’s (2010) method was used to test hypothesis of symmetry in negative and positive shocks. The results show that, the effects of negative and positive shocks on economic growth are asymmetric. In addition, the results of variance decomposition of economic growth indicate that the effects of positives shocks in explaining economic growth fluctuations are greater than negative ones. On the other hand, the results from impulse response functions show that positive and negative shocks have positive and negative effects on economic growth, respectively; however, the size of positive shocks impact on output growth is far more than that of  negative shocks in the long-run. Moreover, the estimated VAR model shows that there is a high and positive correlation between oil revenues and gross domestic product (GDP), which confirms again dependency of national economy to oil revenues.

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In this paper, we try to analyze the effects of oil boom and management of oil revenues by government in a sustainable manner on optimal path of Iranian macroeconomic variables by designing a dynamic computable general equilibrium (DCGE) model. This paper considers several scenarios of utilizing oil revenues in terms of allocating these revenues between savings in the form of oil fund on the one hand and consumption of oil revenues on the other hand. The results show that the a 50 percent increase in world oil price leads to higher optimal level of GDP, but the level of GDP excluding oil exports is reduced. According to the results, the long-term reaction of Iranian economy in the face of permanent shocks of oil price is consistent with the theory of Dutch disease. Due to the Dutch disease, production factors are decreased in tradable sectors and increased in oil and non-tradable sectors. However, the increase in employment in the oil and non-tradable sectors will not compensate for the fall of employment in the tradable sectors, thus total employment will decline. The analysis of oil revenue management shows that saving oil revenue in an oil fund leads to higher level of total consumption and gross domestic product in the long run. Saving oil revenues in an oil fund not only ensures precautionary measures against the so-called Dutch Disease syndrome, but also leads to increase in total employment.

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This paper investigates the short-term and long-term effects of oil revenues on economic corruption in Iran using Autoregressive Distributed Lags (ARDL) model during 1979-2011. Findings indicate that increase (decrease) in oil revenues by one percent increases (decreases) per capita economic corruption by 0.29 percent in the long run. In addition, increases in government regulations indicator and government size by one percent reduce the per capita economic corruption by 1.95 and 1.63 percent, respectively. Moreover, one percent increase in trade openness results in increase in economic corruption per capita by 1.26 percent.  

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In this research, the impact of social capital through influencing the efficiency of government expenditure is investigated using three-stage least-squares model in Iran during 2005: Q1 to 2018: Q2. The effects of exchange rate, stock market index and oil revenues on non-performing loans of public and private sectors are also examined. Results suggest that given the increased efficiency of government expenditure, social capital has a significant negative impact on non-performing loans of public and private sectors. In addition, exchange rate has a significant negative impact on banking system’s receivables from public sector and a significant negative impact on banks’ receivables from private sector. Stock market index has no significant impact on non-performing loans of both public and private sector, since stock market is not liquid enough and has low share in financing businesses. Economic growth has also no significant impact on non-performing loans of both sectors, which can be explained by the impact of improvement in business environment and individuals’ purchasing power on their ability to repay their loans. Thus, by stabilizing economy (controlling the fluctuations of exchange-rate, stock market and so forth) and by improving social capital, it is expected that efficiency of government expenditure is increased and non-performing loans of both sectors is decreased.

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Dependency of Iranian Economy on oil revenues has provided conditions for imposing further sanctions on Iran. One way for Iran to get rid of sanctions is to sell its oil in currencies other than US dollar. In this regard, this article evaluates the risks for Iran if it, in selling oil, substitutes US dollar with currencies of its oil importing countries. We firstly apply Autoregressive Integrated Moving Average (ARIMA) and Self-Exciting Threshold Autoregressive (SETAR) models on Yuan and Rupee data for the period of 1990:01-2019:05 as well as on Euro data for the period of 1999:01-2019:05 and then based on the estimated models, forecast losses and gains for the period of 2019:06-2021:12 if Iran sells oil to China, India and Europe and receive payments respectively in Yuan, Rupee and Euro. Our forecasts indicate that selling oil to India and China and receiving oil revenue in Rupee and Yuan respectively will significantly decrease value of oil exports in range of 5-23 percent due to very likely devaluation of these currencies vs. the US dollar. Therefore, Iran must firstly use in its oil transaction relevant diplomacy with its oil importing countries, requesting them to share in risks of devaluation of their currencies vs. US dollar. Secondly, as a particular example, this article shows that political decisions may bring in economic consequences for the country. Therefore, Iranian authorities are expected to consider economic consequences of their political decisions more seriously and with sufficient transparency.

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Introduction:
Exchange rate pass-through (ERPT) is one of the most important indicators for monetary policymakers that shows the impact of exchange rate volatility on price indices (such as CPI, PPI, etc.). The economic stability and inflation environment are two factors affecting ERPT. The lower the inflation environment, the lesser the ERPT. In an oil-exporting country, the long-run situation of oil revenues can be a state variable of the economy and affect the expectations of economic agents. Therefore, the purpose of this study is to investigate the effect of sanctions against Iran and oil revenues situation on the ERPT from 1990Q2 to 2021Q1.

Methodology:
Regarding the implementing date of sanctions (2012Q1), the sanction period is from 2012Q1 to 2021Q1. Considering Lucas' critique, the switching models are not appropriate, and separated models are preferred. Therefore, by using the Bai-Perron (2003) method and taking oil revenues as a state variable of economy, the rest of the period is separated into two periods. The first period (from 1990Q1 to 2000Q4) is the phase of shortage in oil revenues and the second period (from 2001Q1 to 2011Q4) is the phase of abundance in oil revenues. The inflation environment during sanctions and shortage in oil revenues was high, and it was low in the period of abundance in oil revenues.
The ERPT for each period was calculated using the Structural Vector Autoregressive (SVAR) model. Oil price gap is the exogenous variable and the endogenous variables are respectively as follows: USA GDP, USA CPI, domestic GDP, exchange rate, liquidity and domestic CPI. All variables are in the first difference of logarithmic form. The Cholesky decomposition were used. The optimal lags for each model were selected by Hannan-Quinn information criterion (HQ), Akaike information criterion (AIC) and Final Prediction Error (FPE).
In this model, ERPT is the ratio of the accumulated response of CPI to exchange rate structural shock.
ERPT=k=1nDLCPIkk=1nDLEXk                                                                                             (1)
To investigate the effect of endogenous variables shocks on domestic CPI, variance and historical decomposition are used. Finally, the autoregressive trend of imports for each period is calculated to explain the status of imports versus different oil revenues. These equations can explain the dependency of CPI to imports.

Results and Discussion:
Only the ERPT in the sanctions period has a long-run effect on the economy. This effect is about 43%. The ERPT is 9.9% for the period of shortage in oil revenues, 25.1% for the period of abundance in oil revenues and 10.1% for the sanctions period. Unlike most previous studies, the results show that the lower the inflation environment, the higher the ERPT, and the higher the inflation environment, the lower the ERPT. The main cause of these unexpected changes in ERPT is related to share of imports in consumption basket. The import trend, either in the sanctions or the shortage oil revenues period, was decreasing while in the abundant oil revenues period, was increasing.
The results of the variance and historical decomposition show that in the period of sanctions, the exchange rate structural shocks have the largest share in inflation shocks, while in the other two periods, the inflation structural shock has the largest share in inflation shocks.

Conclusion:
The central bank of Iran is using the nominal exchange rate as an anchor to limit inflation and, finally, increase the monetary policymaker's credibility.  In Iran, increasing oil revenues leads to implementing the crawling peg exchange rate system instead of the managed floating exchange rate system, and consequently, not only the PPI inflation will be greater than the imported goods inflation, but also the imports will increasingly grow. Therefore, it is expected that the share of imports in the consumption basket grows and CPI will be more sensitive to imports. These results can explain the ERPT changes.
In order to increase the credibility of the monetary policy maker and reduce the ERPT sensitivity to oil revenue situations, instead of using the nominal exchange rate anchor, the central bank should be more independent, commit to implementing monetary policy. So, according to the real sector of the economy, the central bank should announce its goals in the short-run and commit to them and announce the status report at the appointed times, and in the medium run, the central bank should pursue only its goals implicitly and increase its credibility among economic agents by making the economy more predictable. The more independent the central bank is, the easier it will be to follow the above policy.