The main propose of this research is the survey of affecting globalization on tax revenue in Iran by AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) approach. So other variables such as real per capita income (as an indicator of economic development), degree of urbanization, the share of agriculture in gross domestic product, dependency ratio (as an index of social and economic structure) and exchange rate, effects on tax revenue have been investigated. Stationary test of variables in the MODEL is shown based on adjusted Dickey – Fuller. For the results of this test, the time series used in this MODEL are characteristics I(0) and I(1). In this study, the pattern AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) and the method of least squares for first or more order differencing is used. Dynamic MODEL estimation results indicate a tendency towards long run equilibrium MODEL. Additionally, globalization has positive effect on the proportion of total tax and the tax on trade in GDP.

Demand for money is an important part of the macroeconomic MODELs and the monetary policy. In this paper, we estimate the Iranian demand for money for the period 1958-2003using the AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) method. The results show that the real money balance, gross domestic product, inflation, foreign exchange rate, and government budget deficit have been co-integrated with each other. We also use the error correction MODEL for short-run dynamic analysis. The result shows the speed of adjustment toward the long-run balance is slow.

As far as government intervention in economics has argued during the economic history as a basic discussion so influence measure of government on private sector has been a contention subject in so many economic articles. “How is the public sector relation with private sector performance?” has been a title in many economic articles in different areas.One influence is on the private investment measures. Can government influence on private investment with increasing itself expenditure? We estimated the private investment function with separating our government expenditures into two parts as investment and consumption expenditures. Our empirical results shows that government consumption expenditures as increases lead to outgoing private investment from the market (government investment expenditure crowds out private investment) and increasing government investment expenditures of public sector arise private sector investment as a result(crowds in private investment). At last we tested all variables to make sure our regressions are not spurious.

The issue of government intervention in the economy is one of the issues that, despite its high importance for the Iranian economy, little research has been done on it. Among the reasons that justify government intervention in the economy are the production of public goods and services, redistribution of income, stabilization of the economy, natural monopoly and external positive and negative factors. On the other hand, today, capital markets as financial and economic exchanges of companies play an important role in the financial sector and the prosperity of economic activities. An efficient capital market can improve economic growth and attract domestic and foreign capital and play an important role in the process of economic development by stabilizing the financial sector and providing a suitable environment. Some experts believe that the continuous intervention of the government in the process of valuing stock exchange symbols in the capital market has prevented the economic growth and development of the country and is to the detriment of GDP. One of the threats that currently threatens the stock market as a financial market is the involvement of the Ministry of Economy and other government departments in determining the value of stock exchange symbols, and if government officials are not prevented from interfering in the daily stock valuation process, liquidity from the stock market It will move to other parallel markets. On the other hand, we know that stock prices in the capital market are determined entirely on the basis of supply and demand and such things as (environmental or macro factors, industry-related factors and internal factors or within the company. According to the explanations provided, the issue that the present study seeks is what are the effects of government interventions on the capital market during the years 1992-2021?

This paper aimed to analyze the impact of oil price shocks, both negative and positive, on economic growth in Iran and Japan using an AUTOREGRESSIVE DISTRIBUTED LAG MODEL. In doing so, a generalized AUTOREGRESSIVE conditional heteroscedasticity GARCH (1, 1) MODEL has been fitted to real oil price during 1980 Q1-2006 Q4. After capturing conditional variable and analysis of the existence ARCH effect on this variable, oil price shocks are then computed. Four single MODELs are used to estimate the impact of oil price shocks on gross domestic product growth. According to the results, since the existing coefficients are not statistically significant, it can not be clearly decided whether the relation between these two variables in Iran’s economy is symmetric or asymmetric. In Japan, the estimated coefficients prove the existence of an asymmetric relation.

Relationship between trade, foreign direct investment (FDI) and economic growth in developing and developed countries has been always the center of attention either in theoretical or empirical point of view. This paper examines the impact of FDI and trade on economic growth in Iran using annual data over the period 1974-2005. This study uses an augmented aggregate production function (APF) MODEL to investigate the impact of those relevant variables on economic growth. The APF assumes that along with conventional inputs of labor and capital used in the neoclassical production function, unconventional inputs like FDI and trade can be included in the MODEL. To analyze the long run relationships among variables, an AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) cointegration procedure is employed. Moreover, error correction MODEL is used to investigate short run relationship.The results indicate that FDI negatively affect economic growth only in the short run while trade positively effect economic growth both in the short run and in the long run. The capital stock and labor force have positive effect on economic growth over the short run and long run.

The DISTRIBUTED LAG effect of a unit change in one of the explanatory variables on the dependent variable is one of the major shortcomings of the standard linear regression MODEL. Such a MODEL, that specifies a causal relationship between a variable and its determinants, states that a unit change in one of the explanatory variables can result in a change in the dependent variable only during the period specified by the MODEL. In practice, however, changes in, for example, the firm's advertisement may affect its sales over various periods. This paper aimes to develop an approach to estimate the DISTRIBUTED LAG effects of a temporary (once -and - for - all) and a permanent (continuous) change in the explanatory variables by using information given by a cointegration MODEL.