VAR Model

One of the main issues in international finance is the ratio of exchange rate pass through to consumer prices. The main objective of this study is to examine the exchange rate fluctuations and its asymmetric effect on consumer prices in Iran’s economy. In the present study, the effects of positive and negative impacts of the exchange rate on inflation rate and other macroeconomic variables of Iran during the period from 1988 to 2017, in the framework of a recursive VAR model have investigated. The results indicate that exchange rate pass through in the short run is 33.5% and in the long run is 43.03%, which indicates that the exchange rate is incomplete. In addition, the results indicate the asymmetric effect of the exchange rate, which is about 38.43% increase in the exchange rate and 16.38% decrease in the exchange rate negatively reflected in consumer price inflation.

Predicting macroeconomic indicators is very important for policymakers and economists. Unemployment is one of the key indicators of macroeconomics that has adverse economic and social consequences. So far, many models have been proposed to predict this variable, but models in which accounting information was used to predict unemployment rate were ignored. The purpose of this paper is to investigate the relationship between aggregate cost stickiness, as one of the known variables in accounting, and unemployment rate. To this end, seasonal macro level time series data of Tehran Stock Exchange (TSE) and macroeconomic data are analyzed in two stages from 2008:2 to 2018:1. In the first stage, the relationship between these two variables is determined by specifying a linear regression model that is estimated using the OLS method. To investigate the predictive power of this model, the RMSE criterion was estimated in two scenarios with and without aggregate cost stickiness. Secondly, the reaction of the unemployment rate in response to a shock from aggregate cost stickiness is estimated by a Vector Autoregressive (VAR) model and the share of this variable is measured in the fluctuations of unemployment rate. The results show that aggregate cost stickiness improves the forecast of unemployment rate in the horizon previous. Also, the shock of aggregate cost stickiness explains about 6.5 percent of unemployment rate fluctuations.

The oil price fluctuations are a debatable issue among scholars. Understanding the appropriate utilization of underground resources is paramount, considering their abundance and historical significance as a crucial source of financial income for Iran. However, oil shocks pose challenges to petroleum exporting nations due to fluctuating oil prices and their reliance on the global economy. This study employs Econometrics models and auto-regression analysis to investigate whether oil shocks significantly affect sustainable development in OPEC countries during 2000-2019. Findings reveal a 'resource curse' affecting the analyzed nations, with rising oil prices having no substantial impact on their gross domestic product. Furthermore, increased oil revenues drive inflation, impeding urbanization and exacerbating inequality (Gini coefficient), indicative of the 'Dutch disease phenomenon. In conclusion, policymakers should prioritize the economy's size and reduce investment risks by formulating attainable long-term plans concentrated on sustainable development indicators, aiming for more stable progress. Oil shocks notably influence the sustainable development of petroleum-exporting countries.