فصلنامه پژوهش های اقتصادی ایران
پیاپی 77 (زمستان 1397)

This study examines the impact of a negative shock-attributed to a systemic risk-on the industrial indexes of the Tehran stock market using daily data form 21 January, 2008 to 22 September, 2017. Using a Vector Autoregressive for Value at Risk (VAR-VaR) and a quantile Impulse-response function that was newly proposed by White et al 2015, we focus on the tail interdependence between industrial index returns (financial institutions) and the market shock index and show how each industrial stock risks contemporaneously and dynamically response to systemic market shocks. Our finding show that there is a significant volatility spillover from a systemic shock to financial institutions in Tehran stock market. However as expected the magnitude of its impact is not the same for all industrial index risks. For examples, the impact of its shock on the bank and metal industrial volatilities is more sizable compared to its impact on the others. And finally, the stock market index has a strong and persistence tail dependency with the chemical and petroleum product industries.

The purpose of this paper is to investigate the existence of nonlinear effects of the fiscal policy. Specifically, the asymmetric effects of equal fiscal shocks (of government spending) on macroeconomic production variables are studied. In this regard, a Dynamic Stochastic General Equilibrium (DSGE) model consistent with the conditions of the Iranian economy during the period 1369 – 1393 is used. We present theoretical foundations of the asymmetric effects of fiscal shocks on macroeconomic variables, then we refer to two strands of studies; the first one emphasizes nonlinearity in the effect of fiscal policy, and argues that nonlinear effects are associated with large and persistent fiscal impetus for industrial and developing countries. The second strand of studies emphasizes expectations about fiscal adjustment for debt sustainability during large fiscal adjustments rather than in normal times. The results show that the positive and negative impacts of government expenditures have asymmetric effects on macroeconomic variables. The effect of negative shock of government spending on consumption, investment and production of the private sector as well as total production is stronger, more stable, and larger. On the other hand the effect of positive government spending shock on these variables is smaller having more temporary impact.

Over the past few decades, intra-industry trade has become one of the most important issues of international concern. Iran needs a model to further its economic goals and improve its business relations with its major trading partners in non-oil industries. Therefore, in this study, with a particular attention to the industry of riding cars and the role of the key components of innovation and the size of the government at the macro and economic level, the linear and nonlinear relationship between these variables is examined. According to the results, nonlinear relationship (inverse-U) between the innovation variable and commercial vehicle trade has been confirmed. Also, government size has had a positive and significant impact on the trade of this industry. Linder markers and geographical distances as control variables have not had a significant effect on the level of business of riding cars, and membership variables in the WTO and ECO have contributed to the expansion of trade in this industry.

In recent years, extensive studies have been done on how trade openness affects economic growth; however, a limited number of studies focus on the volatility of economic growth. A group of these studies have identified openness as a factor in achieving more stable economic growth, and also a group of researches have considered it as a factor in creating instability in the economy, therefore, the empirical studies have ambiguous. An important reason for this ambiguity, can be the structure of trade and exports of countries. The export concentration will lead to a disruption of a large part of the country's production and foreign revenues, when there is an export shock. Therefore, in this article, in addition to studying the effect of trade openness on economic growth volatility, the role of export diversification in this connection is examined. To this end, data from the 18 selected developing countries have been used during the years 1980- 2015 in two panel data models. The first model, regardless of the diversification of exports, estimates this relationship, and the second model, enters the export diversification by multiplying it by openness. The results of the research indicate that the greater degree of trade openness, due to the transfer of external shocks to the economy, increases economic growth instability, but the diversification of exports can help to reduce the volatility of economic growth caused by trade.

Iran's provinces have experienced high inflationary pressures over the past few decades. This paper models the dynamics of inflation in terms of spatial effects between Iranian provinces using the hybrid Phillips New Keynesian Curve during the period (1392-1380). The results show that, the Phillips Keynesian curve is suitable for investigating the dynamics of inflation in Iran's provinces. Findings indicate that provinces focus on setting  prices of their goods based on a combination of forward looking  and backward looking rules, and that forward looking behaviors will have a stronger effect on the rate of inflation in the current period. Also in each province ,the output gap as representative of the actual variables has an effect on the inflation rate of its current period. Finally, considering the significance of spatial auto-correlation between Iran's provinces, output  gap, expected and lagged inflation rates in adjacent provinces have  negative effects on the current inflation rate of the neighboring provinces.

The stock market is one of the most important infrastructures for economic development in developing and developed countries. The convergence of stock market returns reflects the interdependence of the economies of countries and the mobility of capital among them. This study aims to test the stock market price index convergence between OECD countries Philips and sul (2007) methodology over the period January 2007-Februrary 2017. The results show that the stock markets do not form a convergent cluster. However, there are three convergent clubs with one divergent market, Luxemburg. Also, the result of convergence test among clusters represents that the first and second clusters form a convergent cluster.

Given the existence of a mutual relationship between human health and economic growth in societies, determining factors influencing human health can be effective in formulating executive policies and plans. The present study is designed to assess the effects of economic growth, government consumption expenditures and age dependency rate on health expenditures in Islamic countries of D-8 group during 1997-2014. Regarding the results of stationary tests, a new approach to panel econometric data -Panel Auto-regressive Distribution Lag (Panel ARDL) -was used to study the long-run and short-run relationship. Health goods and services for D-8 countries are considered as luxury and essential goods in the long-term and short-term. Also, two indicators of age old dependency ratio and young age dependency ratio, have a positive and negative impact on per capita health expenditure, respectively.