Iranian Journal of Economic Studies
Volume:7 Issue: 1, Winter and Spring 2018

One of the important socioeconomic tasks of governments is regulation. Regulation literature focuses on government intervention in the market for regulating the amount of production and distribution of a commodity, which can lead to the determination of the structure and rules governing the market. A commodities exchange is one of the most important regulatory agencies, which, by providing a convenient, transparent and observable trading system, is customary for the flow of government-specific regulations on commodities. The aim of the present study is to test the regulatory results of supply of products in the commodities exchange. To this end, the percentage increase in the price of 12 commodities traded on the commodities exchange was compared with 21 off-exchange trades using the Propensity Score Matching technique, Caliper and Radius Matching technique, and Bootstrap Standard Deviation. According to the obtained results, the supply of commodities on the Iran mercantile exchange has led to a decrease in their price growth compared to similar commodities outside the Iran mercantile exchange. As a result, using regulatory agencies such as the commodities exchange will increase production and welfare of the society.

In this study, the Input- Output Structural Decomposition Analysis (I-O SDA) is used to investigate the effects of technological structure changes on changes of total output in Sistan and Baluchestan Province during 2006-2011. The technological structure change is decomposed into two factors: intermediate input structure changes (input substitution) and change in direct backward linkage. The results show that the effect of changes in direct backward linkage is negative in all sectors, but the effect of input substitution in twelve sectors is positive and in other nine sectors is negative. Input substitutions in "Agriculture" and "Transport" sectors have the main positive effect on total output of the region and in ''Food industries'' and ''Restaurants & Hotels'' have the main negative effect on total output. This factor caused 20.89 billion Rials decrease in total output of region. Changes in direct backward linkage caused 8270.89 billion Rials decrease in total output of the region.

Resilience is defined in different ways by different disciplines and different authors but in general resilience may be defined as the ability of a system and its component parts to anticipate, absorb, accommodate, or recover from the effects of a hazardous event in a timely and efficient manner. Resilience is applicable at the micro as macro level, and for this reason, is sometimes defined as the ability of an individual, a household (micro level), a community, a country or a region (macro level) to withstand, cope, adapt, and quickly recover from shocks without compromising long-term development. In this paper economic resilience is defined as the capacity of an economy to resist shocks and withstand the effects of a shock and to avoid the shock altogether. The paper tries to follow the UNDP procedure in presenting Human Development Index , so the same procedure will be followed to provide an Economic Resilience Index (ERI). This resilience index will be applied for a group of developing countries including Iran and the finding will be analyzed.

A model of consumer behavior has been formulated by using an additive utility function and the hedonic pricing approach, in a virtual market. Since, there is a time lag between ordering and purchasing products (goods and services) online and receiving them, it means the consumer makes decision under uncertainty. The level of satisfaction with products with distinctive characteristics is described by the probability vector of their expected quality. Consumer choice, as well as interpretation of the equilibrium, is derived from a mathematical process. The results show that hedonic pricing which indicates willingness to pay is affected by probabilities of the expected quality or satisfaction with product characteristics. In addition, the expected marginal rate of substitution for every two characteristics of the product equals to the ratio for probabilities of the expected quality of them.

The countercyclical monetary policy is a policy that economists recommend to adopt in order to slow down the economic fluctuations. The aim of this study is to address the question that, in the presence of fiscal dominance and considering institutional quality (IQL), what the optimal monetary policy should be during the business cycles? To find the appropriate answer, first, in the framework of a Dynamic Stochastic General Equilibrium (DSGE) model, proportional to the structure of the Iranian economy, the parameters of the model are derived. Then, considering fiscal dominance and institutional quality, the optimal monetary policy during the business cycles is calculated and by using the equilibrium parameters, using data of Iran during 1991:2-2016:1, it is calibrated. The results show that the optimal monetary policy during business cycles of Iran is a countercyclical monetary policy. The optimal monetary policy coefficient during the business cycles decreases by a decline in institutional quality and an increase in fiscal dominance. In addition, when the policymaker's goal is only stabilizing inflation, the optimal monetary policy is independent of the business cycles. In addition, when the monetary policy is assumed completely independent, the optimal policy coefficient takes the highest value compared to the other assumed conditions

The main objective of this study is to analyze spillover fluctuations between inflation fluctuation and (un)employment fluctuation in relation to agriculture, industry and services sectors of Iran. In line with this, PANEL in Mean-MGARCH model has been used concerning Iran’s agriculture, industry and services sectors over the period of time from spring 2002 to winter 2016. The results show that inflation fluctuations in each sector would spillover into the next period of all agriculture, industry and services sectors. (Un)employment fluctuations in each sector do not spillover into the next period of that sector or other sectors. The inflation and un(employment) fluctuations (conditional covariance) in each sector spillover into the joint inflation and un(employment) fluctuations of that sector and the other sectors.