Journal of Quantitative Economics
Year:2019 | Volume:16 | Issue:1|Papers Count:6

One of the most important issues about factors affecting private investment is the impression of firm's capital structure on investment and topic of financial accelerator. According to financial accelerator theory, Assymetric information and weakness of firm's balance sheet can limit the access of firm's to financial resource and result in amplification of shocks. In order to test the effect in Iran's economy, data from 298 non-financial firms in 2005 – 2015 period is used. Results show that, by considering economic volatility as a shock, financial accelerator effect does not hold. However, by dividing economic volatility into expansion and recession periods, the effect is hold only for recessions. In other words, in recessions firm's investment is affected and reduced more. Also by using dummy variable for firms size, results show that in recession periods limitness of firms to financial resource cause the effect to be more powerful for small firms.

One of the important issues in the economy is the prediction of economic growth. The correct prediction of economic growth has an important role in government policy and economic planning and can help policymakers in future decision making. In this research, nonlinear structure with non-linear data on the economic value added of non-linear models based on adaptive-fuzzy networks (ANFIS) is used to predict the GDP of Iran. To this end, seasonal data on GDP in Iran have been used from spring 1385 to first quarter of 1395 to predict GDP without oil and its growth, divided into three parts: industry, agriculture and services. Neural-fuzzy network modeling has been investigated in three models with different membership functions. Finally, by prioritizing the power of models in prediction, in each of the three sections, the best model is derived according to the error function. The results of the test data for the first nine months of the year of 1395 show the accuracy of the ANFIS model in the prediction. the error values of each type, ANFIS model to predict future values of GDP of non-oil sectors of industry, agriculture and services and for the nine courses forward this index has been predicted. According to the obtained values, the country's non-oil economic growth in 1395 to about 6 percent. this amount in the years 1396 and 1397 respectively 2 and 3. 5 percent.

Achieving a high and stable economic growth rate is one of the important issues in each country. Influence of Inflation on Economic Growth has been examined from various perspectives in economic literature. These views, depending on the conditions of the global economy, have suggested different views on the impact of inflation on economic growth. Therefore, the purpose of this study is to investigate the threshold effect of inflation on the growth of developed and developing countries in the period 1995-2015. To do this review, has been used a panel smooth transition regression model (PSTR). Also, considering a transfer function with a threshold parameter representing a two-regime model is sufficient to specify the nonlinear relationship between the variables under consideration. Based on the results, the threshold for inflation for developed countries is 7. 99 and for developing countries is 12. 11. On the other hand, the slope parameter (transmission velocity) is also 3. 11 and 0. 22 in developed and developing countries, respectively. The results indicate that the inflation rate in both regimes (first and second regimes) has a negative effect on economic growth. While in developing countries, the variable inflation rate in the first-order diet has a positive effect and in the second-order diet has a negative effect on economic growth.

The purpose of this paper is to measure the intellectual capital of related affiliated companies and examine its relationship with financial performance. For this purpose, intellectual capital was estimated using financial statements and its relationship with firm performance was investigated during the period of 1375 to 1395. The results of the model of market value of firm performance indicate that the relationship between the firm's normal value and the firm's normal market value is positive. While, the relationship of normalized announcement earnings with the normal value of the firm's normal market is negative. In addition, the relationship between the costs of building a normal intellectual capital and the normal value of the firm's market is positive. In addition, the normal costs of creating a latent intellectual capital have a positive effect on the firm's normal market value, and the effect of the cost of creating intellectual capital is dynamic. Furthermore, the results of performance model estimation show that the relationship between normal intellectual capital and the performance of affiliated firms in Tehran Stock Exchange is positive.

The formation of an arms race among countries may lead to a security paradox and ultimately a decline in economic growth. On this basis, although the government in each country is required to provide a level of security to its citizens, defense spending in each country is also important for other countries in the region. Therefore, this study in the form of augmented growth Solow model, analysis the paradox of security, defense expenditure and economic growth with the consideration of foreign debt in MENA countries during the period (1995-2014). In this regard, the results are estimated using simultaneous equations system and the two-stage least squares method (2SLS), with using the Stata econometric software. The empirical results show that a one percent increase in the ratio of defense expenditures to GDP has caused a decrease of 0. 1% in economic growth. The results also indicate that a one percent increase in the ratio of foreign debt to GDP has decreased 0. 05% economic growth. In addition, a one percent increase in economic growth has increased 0. 95 percent in the ratio of defense expenditures to GDP. Also, one percent increase in the ratio of foreign debt to GDP has increased 13% in the ratio of defense spending to GDP. Also, the border with the countries involved in the internal wars has increased the defense expenditures in the neighboring country.

Improvement of consumption pattern is the best way for decrease energy consumption. In this paper, for aim of identification wasteful and useless provinces, from dynamic panel method for period of 2006-2014 is used for useless and wasteful provinces and survey prejudice between provinces with comparison of price elasticities of petroleum demand. Equivalent value method is used to survey effects of petroleum price increasing in different scenarios. Results reveal that in short run with one percent increase in petroleum price, it's consumption decreases 0/23% in wasteful provinces and 0/18% in useless provinces. EV in useless provinces ise^(33/11) and e^(67/65)in wasteful provinces which shows that petroleum consumers perceive from rise of petroleum real price in wasteful provinces more than useless provinces. Therefore petroleum consumption is affected in different provinces with price prejudice.