This research, which is based on theoretical and empirical findings of H.Hwang (1980), who formulated equilibrium hypothesis as stability of parameters in a reduced form equation, and Donald W.K. Andrews (1996), who introduced test statistics like sup W(.), sup LM(.) and sup LR(.) for parameter stability hypothesis testing against alternatives, appropriate test statistics for equilibrium hypothesis are derived. In the calculation of estimators and statistics (GMM) are used. Our findings confirm that, for our data from agricultural sector of Iran and the considered period of time (1961- 1996), null hypothesis is rejected by sup W(.) as well as CUSUM test. But the power of the latter in comparison with the former is considerable.

Inflation constitutes a significant economic challenge for both citizens and policymakers. A crucial step towards mitigating inflationary pressures and enhancing purchasing power lies in identifying the underlying causes and mechanisms. This study investigates the impact of various factors on inflation dynamics in the Iranian economy, including adaptive and rational expectations, liquidity growth, demand shocks, exchange rate shocks, and government budget deficits. By examining these factors within the framework of established inflation theories, the study aims to inform more effective inflation control and management policies. Employing the Generalized Method of Moments ((GMM)) and utilizing time series data spanning 1973-2022, the study finds that exchange rate shocks, liquidity growth, and government budget deficits exert the most significant influence on inflation rates in the Iranian economy. Based on these findings, policy recommendations include: reforming foreign exchange policies, adjusting the exchange rate system, controlling liquidity growth, restructuring government finances, and implementing appropriate contractionary monetary and fiscal policies.

Management earnings forecast is one of the most important information resources in capital markets. The literature suggests managerial overconfidence is an effecting factors on the earnings forecasts’ accuracy. Because of users' relying to forecasted information, examination of the bias's effects on forecasts' accuracy is important. By using a new managerial overconfidence assessment model and Generalized Method of Moments ((GMM)) regression analysis, the paper examines this managerial bias’ s effect on management earnings forecasts’ error in the firms that have listed at Tehran Securities Exchange (TSE) during the period from year 2007 to year 2016. The results show Chief Executive Officers’ overconfidence has a significant positive effect on earnings forecasts’ error, how overconfident Chief Executive Officers overestimate earnings forecasted above than actual earnings. This finding is consistent with recent researches’ ones and suggests information's users should be aware of Chief Executive Officers' overconfidence's negative effects on reliability of managerial forecasted information.

governments worldwide are actively optimizing budget efficiency. This research aims to examine the relationship between government budget deficits and economic growth, emphasizing developed and developing countries, particularly the D8 group, during the period from 2010 to 2021, using the System Generalized Method of Moments (SYS-(GMM)). The results show that in developed and developing countries, especially the D8 group, the negative coefficient of the budget deficit on economic growth can be attributed to concerns such as the effect of congestion, high interest rates, or a decrease in trust in the economy due to financial imbalances and support for the neoclassical approach. In addition, there is an almost one-to-one positive effect between past economic growth and the current level of economic growth. However, this research helps to understand the sustainable impact of budget deficits on current economic conditions in developed and developing countries. Regarding the findings, policymakers should consider adopting contraptions that promote sustainable economic growth while exercising caution in budget deficit management.

Introduction: Given the importance of milk both in the production sector (due to job creation and income generation for activists in this field) and in demand and consumption (due to its impact on public health, etc. ) one of the important goals of government policy in the agricultural sector can be to increase the supply and demand of milk. Materials and Methods: The purpose of this study is to investigate the effect of economic factors affecting milk supply in Iran based on the data collected from the provinces. The research model was estimated using the panel data approach in the form of generalized method of moments. Findings: According to the results of model estimation, milk supply in Iran is positively affected by the number of livestock and negatively affected by the cost of livestock inputs. Also, with a one-year break, milk prices and pasture area have a positive effect and meat prices have a negative effect on milk supply. Conclusion: Breeding of lactating cattle, price support, use of new animal husbandry technologies and management of livestock grazing are some of the proposed solutions to improve the milk supply in the country.

The emergence of crime is one of the most important challenges as a phenomenon facing today's societies and all societies are confused and disturbed due to crime. Crime slows down the development path and threatens the security of the regions with the weakening of the indicators of social and human capital, the economy and the sovereignty of the people, thereby reducing the arrival of tourists. Tourism, in spite of the positive points of increasing income, creating employment and introducing culture to foreigners and etc., like any other phenomenon, has problems that can be threatened by social and familial values and mass extermination in societies. The success and sustained growth of tourism depends on the proper and consistent operation of several factors that are closely interlinked, one of the most important of which is the safety of tourists for tourism purposes. In this study, given the importance of the subject of crime and tourism, and the mutual opposition of these two variables, in two separate models using the panel data approach and generalized method of moments ((GMM)), for the time interval of 2005-2016 and data of provinces of the country were evaluated. First, using the principal component analysis method (PCA), the variable of the crime rate obtained from the combination of nine indicators of theft and then the research model was estimated. Accordingly, the results of the first model showed the positive impact of tourism on crime rates in the provinces of the country, and the results of the second model showed that by increasing the crime rate, tourism rate is decreased.

While a great number of researches have focused on identifying the factors affecting carbon emissions, the role of economic policy uncertainty (EPU) on environmental quality has been less studied in the energy-environment literature. In this regard, the purpose of this study is to investigate how economic policy uncertainty affects CO2 emission in the group of developing countries with the highest levels of pollution. In addition, the moderating effect of economic policy uncertainty on CO2 emissions from renewable and non-renewable energy channels has been studied.  The results show that there is bidirectional causality between economic policy uncertainty and CO2 emissions. Then, a panel data model by the Generalized Method of Moments ((GMM)) is estimated to address the endogeneity problem. We find that increase in economic policy uncertainty has led to higher CO2 emissions. Furthermore, our findings underscore that 1 percent increase in the consumption of renewable energy has led to decrease CO2 emissions by 0.026 percent. In contrast, the consumption of nonrenewable energy has led to increase in CO2 emissions by 0.98 percent. Also, the results show that increase in economic policy uncertainty has led to a reduction in non-renewable energy consumption and thus a reduction in CO2 emissions during the period 2004 to 2020.

Risk taking behavior over firm's life cycle and its relationship with financial performance are examined in this research. Life cycle is one of the most important factors which determines properties of firm's behavior and affect its resource structure, empowerments and abilities. So an adjusted version of ROA with regard to industry effect is used to measure risk taking behavior; the pattern of cash flow in each category including operating, investing and financing and ROA proxy are considered to define life cycle and financial performance respectively. As a consequence, financial data for 150 firms during 2008 to 2015 with some considerations is collected. In order to include dynamic behavior of risk taking, generalized method of moments ((GMM)) is run to analyze data. The results reveal that firms show riskier behavior in introduction and decline phases in comparison with maturity phase. In addition, firms which are in introductory and decline phases operate much weaker than others from financial aspect.

Introduction: Development is a main goal for governments. The development process is influenced by several factors. Countries at different stages of development have different cost structures. This study aimed to determine the impact of government consumption and investment expenditures on human development index (HDI).Methods: This was an analytic-retrospective study. Based on available data, we included the data of 119 countries from 2000 to 2006. We used a checklist to collect data from valid international websites. Using Eviews software, the regressions were estimated by generalized method of moments ((GMM)). To confirm the results, we used the Sargan and Wald tests.Results: Initial levels of development showed positive relationship between government expenditures and the HDI. In more than certain levels (optimum level), there was negative relationship between the government consumption expenditures with the HDI. This finding was contrary in countries with low GDP per-capita. Elasticity of consumer expenditures to the HDI for both groups of countries with high and low GDP per-capita was higher than investment expenditures.Conclusion: In the early stages of development, increasing consumer expenditures result in improving the HDI. However, in the late stages of development, countries need to invest in the infrastructure to change their HDI rank.