This research examines different feature selection methods to enhance the predictive accuracy of MACROECONOMIC forecasting models, focusing on Iran’s ECONOMIC indicators derived from World Bank data. Fourteen feature selection techniques were thoroughly compared, classified into Filter, Wrapper, Embedded, and Similarity-based categories. The evaluation utilized Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) metrics under a 10-fold cross-validation scheme. The findings highlight that Stepwise Selection, Tree-based approaches, and Similarity-based methods, especially those employing Hausdorff and Euclidean distances, consistently outperformed others with average MAE values of 32.03 for Stepwise Selection and 62.69 for Hausdorff Distance. Conversely, Recursive Feature Elimination and Variance Thresholding exhibited weaker results, yielding significantly higher average MAE scores. Similarity-based approaches achieved an average rank of 9.125 across datasets, demonstrating their robustness in managing high-dimensional MACROECONOMIC data. These outcomes underscore the value of integrating similarity measures with traditional feature selection techniques to improve the efficiency and reliability of predictive models, offering meaningful insights for researchers and policymakers in ECONOMIC forecasting.

Introduction: Income distribution is one of the most important concerns of governments. Thus, governments try to reduce income inequality in society. However, to tackle this issue, the main factors affecting income distribution should be studied.Method: In this paper, thus, the most influential MACROECONOMIC VARIABLES on income distribution in Iran are examined. Using time series data of 1971-2007 and employing Auto Regressive Distributed Lag (ARDL), the main income distribution factors are reviewed and analyzed.Findings: The results have revealed that dynamic approach moves toward a long term model and the outcomes of the long term model show that an increase in the growth rate of real per capita GNP and in the share of agricultural value added in GNP will lead to a reduction in income inequality.Conclusion: However, increase in population growth rate and some events such as 1979 revolution and 8 year Iraq-Iran war have increased income inequality in Iran.

In this article the issue of bond sharing in the open market operation policy frame work, one of the central bank monetary policy, is discussed. The way of using this device in the ECONOMIC depression condition and that of inflation, too, is the main issue that has been studied. The history of using bond sharing in Iran economy has been surveyed and then in an econometrics model the effects of bond sharing supply in the ECONOMIC VARIABLES have been considered. Having noticed the small contribution of bond sharing sale and little appreciation of it in the whole money market, one can conclude that the supply of bond sharing in the money market of Iran economy has not played an appropriate role.

The main purpose of present study is to investigate the relationship between MACROECONOMIC VARIABLES and tax evasion using nonlinear approaches. . First of all, it was used Markov Switching Vector Autoregression method, statistics and information from 1969 to 2019 to find Kuznets’s hypothesis and nonlinear relationship between MACRO-ECONOMIC VARIABLES and tax evasion, annually. Then, after confirming the existence of a nonlinear relationship, the Threshold Vector Autoregression was also used for further investigation. According to the results of the markov-switching, the existence of the Kuznets's law between per capita GDP and tax evasion is confirmed. Therefore, in order to reduce tax evasion, it is necessary to reduce the share of oil in GDP and increase the share of productivity in production. For VARIABLES of direct burden tax, public education expenditure, Government expenditure omitting education expenditure, Gini coefficient and currency outside the bank, Kuznets law is rejected. However, the existence of a nonlinear relationship is confirmed. Also, tax evasion, GDP per capita, direct tax burden and currency outside the bank was used for Threshold Vector Autoregression model. Tax evasion was selected as threshold variable and The threshold value of the tax evasion was specified 21906/1 Milliard Rials.The results of the Threshold Vector Autoregression model show that the impulses of per capita GDP and currency outside the bank have the greatest effect on increasing tax evasion. The results of the Threshold Vector Autoregression model show that the impulses of per capita GDP and currency outside the bank have the greatest effect on increasing tax evasion.

The stock exchange is one of the most powerful sectors, which contribute significantly to the economy's wealth. It plays a crucial role in ECONOMIC growth and ECONOMIC development, to which industry, trade and trade as a whole would be benefiting. Therefore, a significant number of research projects have been devoted not surprisingly to understanding the nature of stock market movements and their general performance. A number of studies have shown that MACROECONOMIC VARIABLES have a significant impact on stock market performance, while other studies have at best found an inconclusive relationship. It is also worth noting that most of these studies were conducted on developed markets and rarely touched on the combination of emerging and developed markets. Hence this study aims at understanding the impact of selected MACROECONOMIC VARIABLES such as Export growth, Import growth, Trade balance, Inflation rate, Broad money growth and exchange rate on the stock market chosen Indices of five Asian countries such as India, Japan, China, Hong Kong and Singapore. The Augmented Dickey-Fuller test (ADF), Granger causality test, Johansen cointegration test the short-run and long-run cointegration between the VARIABLES. Variance decomposition analysis is also used to determine how much of the variability in stock returns is lagged by its own variance. The study's findings reveal a substantial long-run cointegration among the MACROECONOMIC VARIABLES and stock indices in the case of Japan, China, Hong Kong, and Singapore. All the MACROECONOMIC VARIABLES are integrated into I (1) except for the trade balance in the case of Japan, which is integrated into I (2).